Method, device and equipment for determining proppant parameters in rough hydraulic fracture
阅读说明：本技术 粗糙水力裂缝内支撑剂参数的确定方法、装置和设备 (Method, device and equipment for determining proppant parameters in rough hydraulic fracture ) 是由 梁天博 周福建 魏东亚 杨凯 左洁 白冰洋 曲鸿雁 李奔 胡晓东 姚二冬 李秀辉 于 2020-06-29 设计创作，主要内容包括：本申请提供了一种粗糙水力裂缝内支撑剂参数的确定方法、装置和设备,其中,该方法包括：获取多对压裂后的岩块样本、岩板样本和各个压裂后的岩块样本中裂缝的粗糙表面形貌数据；将粗糙表面形貌数据分别导入到3D打印机中得到多块可视化裂缝模具；利用多块可视化裂缝模具分别在多个预设支撑剂参数下进行铺砂得到在各个预设的裂缝表面粗糙度影响下的铺砂结果；分别在多个预设支撑剂参数下进行铺砂后的导流能力测试得到多组裂缝导流能力；根据多组铺砂结果、裂缝导流能力,确定各个预设的裂缝表面粗糙度对应的最佳支撑剂参数。在本申请实施例中,可以对在不同支撑剂参数下的铺砂结果和铺砂后的裂缝导流能力综合地进行分析以确定最佳支撑剂参数。(The application provides a method, a device and equipment for determining proppant parameters in a rough hydraulic fracture, wherein the method comprises the following steps: acquiring rough surface topography data of cracks in a plurality of pairs of fractured rock samples, rock plate samples and the fractured rock samples; respectively importing the rough surface topography data into a 3D printer to obtain a plurality of visual crack molds; sanding is carried out on a plurality of visual fracture molds under a plurality of preset proppant parameters respectively to obtain sanding results under the influence of the surface roughness of each preset fracture; carrying out conductivity test after sanding under a plurality of preset proppant parameters respectively to obtain a plurality of groups of fracture conductivity; and determining the optimal proppant parameters corresponding to the preset crack surface roughness according to the multiple groups of sand paving results and the crack flow conductivity. In the embodiment of the application, the sanding result under different proppant parameters and the fracture conductivity after sanding can be comprehensively analyzed to determine the optimal proppant parameters.)
1. A method for determining proppant parameters in a coarse hydraulic fracture, comprising:
acquiring rough surface topography data of cracks in a plurality of pairs of fractured rock samples, rock plate samples and each fractured rock sample, wherein the crack surface roughness of each pair of fractured rock samples is the same as that of each rock plate sample;
respectively importing rough surface topography data of cracks in a plurality of rock block samples into a 3D printer to obtain a plurality of visual crack molds;
sanding the visual crack molds under the preset proppant parameters respectively to obtain multiple groups of sanding results under the influence of the preset crack surface roughness;
carrying out conductivity test after sanding on a plurality of rock plate samples under a plurality of preset proppant parameters used by corresponding visual crack molds respectively to obtain a plurality of groups of crack conductivity under the influence of the surface roughness of each preset crack;
and determining the optimal proppant parameters corresponding to the preset fracture surface roughness according to the multiple groups of sand paving results and fracture conductivity under the influence of the preset fracture surface roughness.
2. The method of claim 1, wherein obtaining rough surface topography data for fractures in a plurality of pairs of the fractured rock sample, the rock plate sample, and each of the fractured rock samples comprises:
obtaining a plurality of cube rock blocks, a plurality of cuboid rock plates and a plurality of target crack surface roughness;
respectively fracturing the plurality of cube rock masses by using a true triaxial fracturing device according to the reservoir conditions of the target reservoir section to obtain a plurality of fractured rock masses with fractures with different roughness;
according to the reservoir conditions of the target reservoir section, carrying out pressure splitting on the plurality of cuboid rock plates according to the prefabricated scratch to obtain a plurality of fractured rock plates with cracks of different roughness;
respectively scanning the surfaces of the cracks of the rock blocks and the rock plates by adopting a rock laser scanner to obtain rough surface appearance data of the cracks in the fractured rock blocks and rock plates;
and determining a plurality of pairs of fractured rock samples and rock plate samples matched with the surface roughness of the preset fractures according to the rough surface topography data of the fractures in the fractured rock blocks and rock plates.
3. The method of claim 1, wherein the sanding using the plurality of visual fracture molds is performed under a plurality of preset proppant parameters, respectively, to obtain a plurality of sets of sanding results under the influence of respective preset fracture surface roughnesses, including:
acquiring a construction scheme of a target reservoir section, the volume of a sand mixing tank and a target proppant parameter in a plurality of preset proppant parameters;
determining a target pump injection displacement and a target sand ratio under the target pump injection displacement according to the construction scheme;
determining the volume of the fracturing fluid according to the volume of the sand mixing tank, and determining the quality of the proppant under the target proppant parameter according to the target sand ratio;
after the plurality of visual crack molds are respectively placed in a sand paving device, stirring fracturing fluid and propping agent which are weighed according to the volume of the fracturing fluid and the mass of the propping agent in a sand mixing tank to obtain sand carrying fluid;
and according to the target pump injection displacement, sanding by using a sand conveying pump and the sand carrying liquid to obtain a plurality of target sanding results for sanding according to the target proppant parameters under the influence of the surface roughness of each preset crack.
4. The method of claim 1, wherein the sanding result comprises: the sand bank shape, the advancing speed of the sand bank, the balance height of the sand bank, the area of the sand bank, the porosity in the crack and the stacking density of the sand bank under the influence of the surface roughness of the crack under the preset proppant parameters.
5. The method of claim 3, wherein the sanding device comprises: the sand mixing device comprises a sand mixing tank, a first pipeline, a sand conveying pump, a second pipeline, a sand paving device main body, a third pipeline, a collecting tank, a first pressure sensor and a second pressure sensor; the sand mixing tank, the sand conveying pump, the sand paving device main body and the collecting tank are sequentially connected through the first pipeline, the second pipeline and the third pipeline, and the first pressure sensor and the second pressure sensor are sequentially arranged on the second pipeline and the third pipeline; the sanding device main body comprises: the front plate and the rear plate are detachable, wherein a plurality of nuts used for adjusting the size of the seam width are arranged on the front plate and the rear plate.
6. The method of claim 3, wherein the obtaining a plurality of sets of fracture conductivity under the influence of each preset fracture surface roughness by performing a conductivity test after sanding on a plurality of rock plate samples under a plurality of preset proppant parameters used by a corresponding visual fracture mold comprises:
respectively placing the plurality of rock plate samples corresponding to the rough surface topography data of the cracks in the plurality of visual crack molds into a diversion chamber;
according to the multiple target sand paving results, sequentially paving proppants with the same parameters as the target proppants in a diversion chamber in which the rock plate sample corresponding to the surface roughness of the crack is placed;
and putting the flow guide chamber after the sand paving is finished into a flow guide capacity testing device, heating the flow guide chamber and loading closing pressure to obtain the flow guide capacity of a plurality of cracks for testing the flow guide capacity according to the target proppant parameters under the influence of the surface roughness of each preset crack.
7. The method of claim 1, wherein determining optimal proppant parameters corresponding to each preset fracture surface roughness according to the plurality of sets of sanding results and fracture conductivity under the influence of each preset fracture surface roughness comprises:
acquiring a plurality of preset proppant parameters, pump injection displacement and sand ratio for sand paving and flow conductivity tests;
performing software simulation by using the plurality of preset proppant parameters, the pump injection displacement and the sand ratio to obtain a sand bank shape simulation value and a fracture conductivity simulation value when sand laying is finished under the influence of the surface roughness of each preset fracture;
and comparing the sand paving results and the fracture conductivity under the influence of the preset fracture surface roughness with the sand bank shape simulation value and the fracture conductivity simulation value after sand paving is finished, and determining the optimal proppant parameters corresponding to the preset fracture surface roughness.
8. The method of claim 1, wherein the proppant parameters comprise: type of proppant, mesh size, and sanding concentration.
9. An apparatus for determining proppant parameters in a coarse hydraulic fracture, comprising:
the acquisition module is used for acquiring rough surface topography data of cracks in a plurality of pairs of fractured rock samples, rock plate samples and each fractured rock sample, wherein the crack surface roughness of each pair of fractured rock samples is the same as that of each rock plate sample;
the importing module is used for importing the rough surface topography data of the cracks in the rock block samples into the 3D printer respectively to obtain a plurality of visual crack molds;
the sand paving module is used for paving sand under a plurality of preset proppant parameters by utilizing the plurality of visual fracture molds to obtain a plurality of groups of sand paving results under the influence of the preset fracture surface roughness;
the flow conductivity testing module is used for testing the flow conductivity of the sanded rock samples under the preset proppant parameters to obtain a plurality of groups of fracture flow conductivity under the influence of the preset fracture surface roughness;
and the proppant parameter determining module is used for determining the optimal proppant parameters corresponding to the preset fracture surface roughness according to the multiple groups of sanding results and fracture conductivity under the influence of the preset fracture surface roughness.
10. An apparatus for determining proppant parameters in a rough hydraulic fracture comprising a processor and a memory for storing processor-executable instructions which, when executed by the processor, implement the steps of the method of any one of claims 1 to 8.
Technical Field
The application relates to the technical field of petroleum and natural gas yield increasing transformation, in particular to a method, a device and equipment for determining proppant parameters in a rough hydraulic fracture.
Background
The slickwater fracturing technology is one of the important technologies for developing unconventional oil and gas reservoirs at present, and as for the current exploitation mode, the flow conductivity in fractured fractures is an important evaluation index for evaluating the smooth flow of oil and gas into a well after fracturing. Therefore, comprehensive research is carried out on the proppant after fracturing, and the finally established proppant parameter optimization measure is very important for optimizing the sand laying shape in the fracture and improving the fracturing transformation effect. Due to the poor sand carrying performance of the slickwater fracturing technology, the sand carrying and conveying capacity of fracturing fluid needs to be enhanced by improving the pump injection capacity, and the characteristic ensures that the settling and transporting rule of a propping agent in a fracturing fracture is different from that of the classical hydraulic fracturing which is characterized by small discharge capacity and high viscosity.
At present, the research on the settlement migration theory of a propping agent in a fracturing fracture and the influence factors of the propping agent during the injection of a sand-carrying fluid by a large-displacement pump basically tends to the qualitative description of the sand bank shape and the influence rule of construction parameters and the fracturing fluid on the sand bank shape. In the method for determining parameters of the hydraulic fracturing propping agent adopted in the prior art, a propping fracture conductivity test under different propping agent parameters is developed by copying a rock sample with rough surface morphology of the fracture, and the preferable parameters of the propping agent are obtained according to the test result. However, in the prior art, the flow conductivity is only evaluated, the evaluation index is single, and comprehensive research on the fractured proppant cannot be carried out, so that the finally formulated proppant parameter is not optimal, and the accuracy is not high. Therefore, by adopting the scheme in the prior art, different proppant parameters after fracturing cannot be comprehensively and comprehensively tested and researched, and finally, the optimal proppant scheme is preferably selected.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the application provides a method, a device and a device for determining proppant parameters in a rough hydraulic fracture, so as to solve the problems that in the prior art, the scheme in the prior art cannot comprehensively and comprehensively test and research different proppant parameters after fracturing, and finally the optimal proppant scheme is selected.
The embodiment of the application provides a method for determining proppant parameters in a rough hydraulic fracture, which comprises the following steps: acquiring rough surface topography data of cracks in a plurality of pairs of fractured rock samples, rock plate samples and each fractured rock sample, wherein the crack surface roughness of each pair of fractured rock samples is the same as that of each rock plate sample; respectively importing rough surface topography data of cracks in a plurality of rock block samples into a 3D printer to obtain a plurality of visual crack molds; sanding the visual crack molds under the preset proppant parameters respectively to obtain multiple groups of sanding results under the influence of the preset crack surface roughness; carrying out conductivity test after sanding on a plurality of rock plate samples under a plurality of preset proppant parameters used by corresponding visual crack molds respectively to obtain a plurality of groups of crack conductivity under the influence of the surface roughness of each preset crack; and determining the optimal proppant parameters corresponding to the preset fracture surface roughness according to the multiple groups of sand paving results and fracture conductivity under the influence of the preset fracture surface roughness.
In one embodiment, obtaining rough surface topography data for a plurality of pairs of fractured rock samples, rock plate samples, and fractures in each fractured rock sample comprises: obtaining a plurality of cube rock blocks, a plurality of cuboid rock plates and a plurality of target crack surface roughness; respectively fracturing the plurality of cube rock masses by using a true triaxial fracturing device according to the reservoir conditions of the target reservoir section to obtain a plurality of fractured rock masses with fractures with different roughness; according to the reservoir conditions of the target reservoir section, carrying out pressure splitting on the plurality of cuboid rock plates according to the prefabricated scratch to obtain a plurality of fractured rock plates with cracks of different roughness; respectively scanning the surfaces of the cracks of the rock blocks and the rock plates by adopting a rock laser scanner to obtain rough surface appearance data of the cracks in the fractured rock blocks and rock plates; and determining a plurality of pairs of fractured rock samples and rock plate samples matched with the surface roughness of the preset fractures according to the rough surface topography data of the fractures in the fractured rock blocks and rock plates.
In one embodiment, the sanding is performed by using the plurality of visual fracture molds under a plurality of preset proppant parameters, respectively, to obtain a plurality of sets of sanding results under the influence of the preset fracture surface roughness, including: acquiring a construction scheme of a target reservoir section, the volume of a sand mixing tank and a target proppant parameter in a plurality of preset proppant parameters; determining a target pump injection displacement and a target sand ratio under the target pump injection displacement according to the construction scheme; determining the volume of the fracturing fluid according to the volume of the sand mixing tank, and determining the quality of the proppant under the target proppant parameter according to the target sand ratio; after the plurality of visual crack molds are respectively placed in a sand paving device, stirring fracturing fluid and propping agent which are weighed according to the volume of the fracturing fluid and the mass of the propping agent in a sand mixing tank to obtain sand carrying fluid; and according to the target pump injection displacement, sanding by using a sand conveying pump and the sand carrying liquid to obtain a plurality of target sanding results for sanding according to the target proppant parameters under the influence of the surface roughness of each preset crack.
In one embodiment, the sanding results include: the sand bank shape, the advancing speed of the sand bank, the balance height of the sand bank, the area of the sand bank, the porosity in the crack and the stacking density of the sand bank under the influence of the surface roughness of the crack under the preset proppant parameters.
In one embodiment, the sanding device comprises: the sand mixing device comprises a sand mixing tank, a first pipeline, a sand conveying pump, a second pipeline, a sand paving device main body, a third pipeline, a collecting tank, a first pressure sensor and a second pressure sensor; the sand mixing tank, the sand conveying pump, the sand paving device main body and the collecting tank are sequentially connected through the first pipeline, the second pipeline and the third pipeline, and the first pressure sensor and the second pressure sensor are sequentially arranged on the second pipeline and the third pipeline; the sanding device main body comprises: the front plate and the rear plate are detachable, wherein a plurality of nuts used for adjusting the size of the seam width are arranged on the front plate and the rear plate.
In one embodiment, the method for testing the conductivity of the sanded rock samples under the condition of a plurality of preset proppant parameters used by a corresponding visual fracture mold to obtain a plurality of groups of fracture conductivity under the influence of the preset fracture surface roughness includes: respectively placing the plurality of rock plate samples corresponding to the rough surface topography data of the cracks in the plurality of visual crack molds into a diversion chamber; according to the multiple target sand paving results, sequentially paving proppants with the same parameters as the target proppants in a diversion chamber in which the rock plate sample corresponding to the surface roughness of the crack is placed; and putting the flow guide chamber after the sand paving is finished into a flow guide capacity testing device, heating the flow guide chamber and loading closing pressure to obtain the flow guide capacity of a plurality of cracks for testing the flow guide capacity according to the target proppant parameters under the influence of the surface roughness of each preset crack.
In one embodiment, determining the optimal proppant parameters corresponding to each preset fracture surface roughness according to the multiple sets of sanding results and fracture conductivity under the influence of each preset fracture surface roughness includes: acquiring a plurality of preset proppant parameters, pump injection displacement and sand ratio for sand paving and flow conductivity tests;
performing software simulation by using the plurality of preset proppant parameters, the pump injection displacement and the sand ratio to obtain a sand bank shape simulation value and a fracture conductivity simulation value when sand laying is finished under the influence of the surface roughness of each preset fracture; and comparing the sand paving results and the fracture conductivity under the influence of the preset fracture surface roughness with the sand bank shape simulation value and the fracture conductivity simulation value after sand paving is finished, and determining the optimal proppant parameters corresponding to the preset fracture surface roughness.
In one embodiment, the proppant parameters include: type of proppant, mesh size, and sanding concentration.
The embodiment of the application also provides a device for determining proppant parameters in a rough hydraulic fracture, which comprises: the acquisition module is used for acquiring rough surface topography data of cracks in a plurality of pairs of fractured rock samples, rock plate samples and each fractured rock sample, wherein the crack surface roughness of each pair of fractured rock samples is the same as that of each rock plate sample; the importing module is used for importing the rough surface topography data of the cracks in the rock block samples into the 3D printer respectively to obtain a plurality of visual crack molds; the sand paving module is used for paving sand under a plurality of preset proppant parameters by utilizing the plurality of visual fracture molds to obtain a plurality of groups of sand paving results under the influence of the preset fracture surface roughness; the flow conductivity testing module is used for testing the flow conductivity of the sanded rock samples under the preset proppant parameters to obtain a plurality of groups of fracture flow conductivity under the influence of the preset fracture surface roughness; and the proppant parameter determining module is used for determining the optimal proppant parameters corresponding to the preset fracture surface roughness according to the multiple groups of sanding results and fracture conductivity under the influence of the preset fracture surface roughness.
The embodiment of the application also provides a device for determining the proppant parameter in the rough hydraulic fracture, which comprises a processor and a memory for storing processor executable instructions, wherein the processor executes the instructions to realize the steps of the method for determining the proppant parameter in the rough hydraulic fracture.
The embodiment of the application provides a method for determining proppant parameters in a rough hydraulic fracture, which can obtain a plurality of visual fracture molds by acquiring rough surface morphology data of fractures in a plurality of pairs of fractured rock samples, rock plate samples and each fractured rock sample and respectively importing the rough surface morphology data of the fractures in the plurality of rock samples into a 3D printer. Therefore, a plurality of visual crack molds can be used for simulating sanding results of the propping agents with different parameters under the influence of the surface roughness of each preset crack, and the rock plate samples are used for conducting flow conductivity tests on the sanded sand levees. Furthermore, the optimal proppant parameters corresponding to the preset surface roughness of the fracture can be determined by comprehensively comparing and analyzing the sanding result obtained by sanding under different proppant parameters and the fracture conductivity obtained by testing, so that the proppant parameters can be optimized to meet the requirement of a target reservoir on the conductivity of the propped fracture, the sanding form in the fracture can be optimized, the fracturing modification effect can be improved, and guidance is provided for fracturing construction optimization.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application, are incorporated in and constitute a part of this application, and are not intended to limit the application. In the drawings:
FIG. 1 is a schematic illustration of steps of a method for determining proppant parameters in a coarse hydraulic fracture provided in accordance with an embodiment of the present application;
FIG. 2 is a schematic structural diagram of a sanding device provided according to an embodiment of the present application;
FIG. 3 is a schematic view of an upper half of a visualization fracture mold provided in accordance with an embodiment of the present application;
FIG. 4 is a schematic diagram of a sand bank form simulation value provided according to an embodiment of the present application;
FIG. 5 is a schematic structural diagram of a proppant parameter determination device in a coarse hydraulic fracture provided according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a proppant parameter determining apparatus in a coarse hydraulic fracture provided according to an embodiment of the present application.
Detailed Description
The principles and spirit of the present application will be described with reference to a number of exemplary embodiments. It should be understood that these embodiments are given solely for the purpose of enabling those skilled in the art to better understand and to practice the present application, and are not intended to limit the scope of the present application in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
As will be appreciated by one skilled in the art, embodiments of the present application may be embodied as a system, apparatus, device, method or computer program product. Accordingly, the present disclosure may be embodied in the form of: entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.
Although the flow described below includes operations that occur in a particular order, it should be appreciated that the processes may include more or less operations that are performed sequentially or in parallel (e.g., using parallel processors or a multi-threaded environment).
Referring to fig. 1, the present embodiment may provide a method for determining proppant parameters in a rough hydraulic fracture. The method for determining the proppant parameters in the rough hydraulic fracture can be used for comprehensively researching the laying state and the flow conductivity of the proppant in the rough hydraulic fracture after hydraulic fracturing, so that the optimal scheme of the proppant parameters can be determined to optimize the sand laying form in the fracture and improve the fracturing transformation effect. The method for determining proppant parameters in the rough hydraulic fracture can comprise the following steps:
s101: and acquiring rough surface morphology data of cracks in a plurality of pairs of fractured rock samples, rock plate samples and each fractured rock sample, wherein the crack surface roughness of each pair of fractured rock samples is the same as that of each rock plate sample.
In this embodiment, a plurality of pairs of fractured rock samples, rock plate samples, and rough surface topography data of fractures in each fractured rock plate sample may be obtained in advance. Wherein each fractured rock sample and rock plate sample has one rough hydraulic fracture.
The rock block sample and the rock plate sample can be obtained by cutting underground rock cores or outcrops (parts of rocks, ore veins and ore deposits exposed out of the ground) of a conglomerate target reservoir interval, wherein the target reservoir interval is the reservoir interval expected to be researched, and the surface roughness of the hydraulic fracture in the target reservoir interval is determined by the geological condition of the target reservoir interval. The rock sample may be a cube, and in a preferred embodiment the size of the rock sample may be: the length is 30cm, the width is 30cm, the height is 30cm, and the specific size can be determined according to the size of the device for sanding, which is not limited in the application. Above-mentioned rock plate sample can also be for the rock plate of grinding into the semicircle arc shape with the cuboid both ends for the cuboid, and specific overall dimension can be according to the overall dimension of the water conservancy diversion room that carries out the water conservancy diversion ability test and confirm, and this application does not do the restriction to this.
Further, the device for sanding and testing the flow conductivity has different requirements on the shape and the size of the rock sample, so that a plurality of pairs of fractured rock samples and rock plate samples need to be obtained simultaneously in the embodiment. The rock sample and the rock plate sample with the same surface roughness of the fracture are in a pair, the rock sample in each pair is used for sand paving, and the rock plate sample in each pair is used for flow conductivity test, so that the paving state and the flow conductivity of the proppant in a rough hydraulic fracture after hydraulic fracturing can be comprehensively analyzed aiming at a certain roughness hydraulic fracture.
S102: and respectively importing the rough surface topography data of the cracks in the plurality of rock block samples into a 3D printer to obtain a plurality of visual crack molds.
In order to visualize the migration condition of the proppant in the rough hydraulic fracture, in this embodiment, the obtained rough surface topography data of the fracture in each fractured rock sample may be respectively poured into a 3D printer, and 3D printing may be performed by using a transparent material to obtain a plurality of visual fracture molds. The visual crack molds correspond to the rock samples one by one. And because the fractured rock samples are obtained, each rock sample is provided with an upper part and a lower part which have the same fracture surfaces as the real fractures, so that the upper part and the lower part of the visual fracture mould are spliced, and the fractures can be completely closed.
The rough surface topography data of the cracks in the plurality of rock samples can be obtained by scanning the surfaces of the cracks cracked in the rock samples by using a rock laser scanner, and the rock laser scanner can scan the height of the rough surface, so the rough surface topography data can be point cloud data points representing the height of the surfaces of the cracks. It is understood that, in other embodiments, the rough surface topography data of the fracture in the rock sample may be obtained in other manners, which may be selected according to the actual situation, and is not limited in this application.
S103: and sanding the visual fracture molds under a plurality of preset proppant parameters respectively to obtain a plurality of groups of sanding results under the influence of the preset fracture surface roughness.
In order to determine the migration condition of the proppants with different parameters in the fractures with different roughness degrees, in the embodiment, the plurality of visual fracture molds can be used for sanding respectively under a plurality of preset proppant parameters, so that a plurality of groups of sanding results under the influence of the preset fracture surface roughness are obtained. Wherein the proppant parameters may include: the type, mesh and sanding concentration of the proppant, which may include: quartz sand, ceramsite and the like.
In this embodiment, the number of the plurality of preset proppant parameters may be 4, 6 or more, and may be determined according to actual situations, which is not limited in this application. The plurality of preset proppant parameters may be preset, and in some embodiments, the preset proppant parameters may be determined according to a proppant parameter which is frequently used in actual application, or according to a proppant parameter which is expected to be used in actual construction of the target reservoir section, or may be determined in other manners, and may be specifically determined according to actual conditions, which is not limited in this application.
In one embodiment, the sanding result may include at least one of: the sand bank shape under the preset proppant parameters, the sand bank advancing speed (effective supporting gap length of the crack), the sand bank balance height (effective supporting height of the crack), the area of the sand bank, the porosity in the crack, the sand bank stacking density under the influence of the surface roughness of the crack and the like. In some embodiments, the sanding results may also include changes in the shape of the sanding over the time of sanding.
In one embodiment, the step of sanding with the plurality of visual fracture molds under the plurality of preset proppant parameters to obtain a plurality of sets of sanding results under the influence of the preset fracture surface roughness may include the following steps.
S31: and acquiring a construction scheme of the target reservoir section, the volume of the sand mixing tank and a target proppant parameter in a plurality of preset proppant parameters.
In this embodiment, a target proppant parameter in the preset proppant parameters is taken as an example for description, and it can be understood that other proppant parameters in the preset proppant parameters may be sanded in a manner of referring to the target proppant parameter, and repeated details are not repeated. Wherein, the sand mixing tank is one part of a crack sand paving device.
In this embodiment, the construction plan of the target reservoir segment may be a construction plan actually adopted by the target reservoir segment, and the construction plan may include at least one of the following: construction time, construction environment, pump injection displacement, sand ratio and the like.
S32: and determining the target pump injection displacement and the target sand ratio under the target pump injection displacement according to the construction scheme.
In this embodiment, the target pumping displacement may be determined according to the construction scheme, and the target pumping displacement may be a pumping displacement adopted during actual construction of the target reservoir section, and correspondingly, the target sand ratio may also be a sand ratio adopted during actual construction of the target reservoir section. For example: the pump injection displacement in the construction scheme is 8-10m3The/min is 8% or 10%, which is only an example, and may be determined according to a specific construction scheme in practical application, and the application is not limited thereto.
S33: and determining the volume of the fracturing fluid according to the volume of the sand mixing tank, and determining the quality of the proppant under the target proppant parameter according to the target sand ratio.
In this embodiment, the volume of the fracturing fluid may be determined according to the volume of the sand mixing tank, and the mass of proppant at the target proppant parameters may be determined according to the target sand ratio. For example: with a target sand ratio of 8% and a fracturing fluid volume of 4L, the proppant mass can be calculated from the density of the proppant at the target proppant parameters. The calculation formula may be 8% x 4 x proppant density, where it is noted that the units in the calculation formula need to be uniform. The volume of the fracturing fluid can be equal to the volume of the sand mixing tank, or 60%, 80% and the like of the volume of the sand mixing tank, and the volume can be determined according to actual conditions, which is not limited in the application.
S34: after the plurality of visual crack molds are respectively placed in the sand paving device, the fracturing fluid and the propping agent which are weighed according to the volume of the fracturing fluid and the mass of the propping agent are stirred in a sand mixing tank, and the sand carrying fluid is obtained.
In this embodiment, a plurality of visual crack molds can be sequentially placed in a sanding device for sanding respectively to support migration of the proppant in the crack. Because the visual crack mould divide into two parts about, consequently can splice two parts about the visual crack mould and make can close completely between the crack to visual crack mould mode after will splicing is in the sanding device. After the visual fracture mold is placed in the sand paving device, the fracturing fluid and the propping agent under the target propping agent parameters are weighed according to the determined volume of the fracturing fluid and the determined mass of the propping agent, and the weighed fracturing fluid and the propping agent are placed in a sand mixing tank in the sand paving device to be stirred, so that the sand carrying fluid is obtained.
S35: and (4) paving sand by using a sand conveying pump and a sand carrying liquid according to the injection discharge capacity of the target pump to obtain a plurality of target sand paving results for paving sand according to target proppant parameters under the influence of the surface roughness of each preset crack.
The sand bank configuration, which can be visually observed after the sanding is finished, is formed after the sand bank has reached an equilibrium height after the sanding is finished, wherein the high area is at the inlet and becomes lower towards the outlet. The sand bank morphology of proppant at each proppant parameter can be recorded after sanding is complete. Furthermore, the formed sand levees can be differentiated, the area of the sand levees in each step is calculated, and the porosity in the fractures is calculated, so that a plurality of target sanding results for sanding according to target proppant parameters under the influence of the preset fracture surface roughness can be obtained.
S104: and (3) carrying out conductivity test after sanding on a plurality of rock plate samples under a plurality of preset proppant parameters used by the corresponding visual crack die respectively to obtain a plurality of groups of crack conductivity under the influence of the preset crack surface roughness.
In order to determine the fracture conductivity of the proppant with different parameters in the fractures with different roughness degrees, in the embodiment, the conductivity after sanding can be tested by using a plurality of rock plate samples under a plurality of preset proppant parameters used by the corresponding visual fracture mold respectively, so as to obtain a plurality of groups of fracture conductivity under the influence of the surface roughness of each preset fracture, wherein the fracture conductivity is the conductivity of the fracture when sanding is finished. It should be noted that each rock plate sample needs to be tested for conductivity using a plurality of pre-set proppant parameters for a rock sample having the same surface roughness as its fracture.
The fracture conductivity of each group under the influence of each preset fracture surface roughness comprises the fracture conductivity corresponding to each preset proppant parameter under the influence of certain fracture surface roughness.
In one embodiment, the method for obtaining the fracture conductivity under the influence of the preset fracture surface roughness may include performing a conductivity test after sanding on a plurality of rock samples under a plurality of preset proppant parameters used by a corresponding visual fracture mold, respectively.
S41: and respectively placing a plurality of rock plate samples corresponding to the rough surface topography data of the cracks in the plurality of visual crack molds into the diversion chamber.
S42: and according to a plurality of target sand paving results, sequentially paving the propping agents with the same parameters as the target propping agents in the diversion chamber in which the rock plate samples corresponding to the surface roughness of the cracks are placed.
S43: and placing the flow guide chamber after the sand paving is finished into a flow guide capacity testing device, heating the flow guide chamber and loading closing pressure to obtain the flow guide capacity of a plurality of cracks tested according to target proppant parameters under the influence of the surface roughness of each preset crack.
In this embodiment, a plurality of rock plate samples corresponding to the rough surface topography data of the cracks in the plurality of visual crack molds may be sequentially placed in the diversion chamber, and the steps S42 and S43 may be repeated to perform the diversion capability test. The fracture conductivity may be a specific value, for example: 1.35 μm2·cm、0.98μm2Cm, etc.
Because the same parameters are needed to be adopted for the rock block sample and the rock plate sample with the same fracture surface roughness when sand paving and conductivity testing are carried out, and the conductivity testing is carried out on the basis of the completion of sand paving, proppants with the same parameters as the target proppants can be sequentially paved in the flow guide chamber for placing the rock plate sample corresponding to the fracture surface roughness according to the plurality of target sand paving results. The sand bank shape obtained by sanding the rock plate sample in the step S42 is the same as the sand bank shape obtained by sanding the visual crack mold with the same crack surface roughness.
In this embodiment, the diversion chamber after sand laying can be placed in a diversion capability test device, and diversion capability test can be performed by heating the diversion chamber and applying closing pressure. In one embodiment, the specific flow conductivity testing steps may be: turning on a power supply of a main machine of the current-conducting capability testing device to preheat for half an hour, and turning on a power supply of a computer; placing the diversion chamber after sand paving on a pressure loading frame, connecting a pipeline, and applying a pressure of 1000 psi; checking the test liquid in the water storage tank and turning on the pump, and setting the constant flow rate to be not 2.5-10 ml/min; when the flow rate of the liquid outlet end is stable, back pressure is added to about 100psi, and when the flow rate of the liquid outlet end is stable, the differential pressure sensor exhausts; after the temperature of the diversion chamber reaches the set temperature, waiting for 1 hour, and then testing; and setting an automatic test program, starting data acquisition after the test is stable, and obtaining the fracture conductivity of the supported fracture by using the target proppant parameters under the influence of the preset fracture surface roughness. And after the test is finished, cooling and relieving pressure, taking down the flow guide chamber, cleaning and powering off.
S105: and determining the optimal proppant parameters corresponding to the preset crack surface roughness according to a plurality of groups of sanding results and crack flow conductivity under the influence of the preset crack surface roughness.
Because the proppant parameters can affect the sand laying result and the fracture conductivity of the propped fracture, in the embodiment, the sand bank shape after the proppant is laid can be simulated, the conductivity test is carried out on the sand bank after the sand laying, the sand laying result obtained by sand laying under different proppant parameters and the fracture conductivity obtained by the test are comprehensively compared and analyzed, and then the optimal proppant parameters corresponding to the surface roughness of each preset fracture are determined, so that the proppant parameters can be optimized to meet the requirement of a target reservoir on the conductivity of the propped fracture, and the guidance is provided for the optimization of fracturing construction.
The optimal proppant parameter corresponding to each preset fracture surface roughness can be the proppant parameter corresponding to the group of data with the same pump injection displacement, the highest sand ratio sand bank height, the largest sand laying area and the highest fracture conductivity. It will be appreciated that other criteria or means may be used to select the optimal proppant parameters, such as inputting the pump displacement, sand ratio, slot width, proppant parameters, etc. used in the above steps into the software for simulation, and using the proppant parameter corresponding to the set of data that most closely matches or matches the simulation result as the optimal proppant parameter. The specific method can be determined according to actual conditions, and the method is not limited in the application.
In one embodiment, determining the optimal proppant parameters corresponding to each preset fracture surface roughness according to the sand laying results and the fracture conductivity under the influence of multiple groups of preset fracture surface roughness may include the following steps.
S51: and acquiring a plurality of preset proppant parameters, pump injection displacement and sand ratio for sand paving and flow conductivity tests.
S52: and performing software simulation by using a plurality of preset proppant parameters, pump injection displacement and sand ratio to obtain a sand bank shape simulation value and a fracture conductivity simulation value when sand laying is finished under the influence of the surface roughness of each preset fracture.
S53: and comparing a plurality of groups of sanding results and fracture conductivity under the influence of the preset fracture surface roughness with a sand bank form simulation value and a fracture conductivity simulation value after sanding is finished, and determining the optimal proppant parameters corresponding to the preset fracture surface roughness.
In this embodiment, the software may be a reservoir numerical simulation software which is established in advance according to relevant parameters of a target reservoir interval, and each preset proppant parameter, pump injection displacement and sand ratio are input into the software for simulation, so as to obtain a sand bank shape simulation value and a fracture conductivity simulation value under the influence of each preset fracture surface roughness. Furthermore, a group of proppant parameters corresponding to the sanding result and the fracture conductivity, which are the same as or most similar to the simulation value under the influence of the surface roughness of a certain fracture, can be used as the optimal proppant parameters of the surface roughness of the fracture, so that a plurality of groups of optimal proppant parameters corresponding to a certain pumping output, sand ratio and the surface roughness of the certain fracture can be obtained.
In one embodiment, in order to obtain multiple pairs of fractured rock samples, the shape of the rock plate samples and the fracture surface roughness meet the experimental requirements, the following methods can be used: collecting underground rock cores or outcrops (parts of rocks, ore veins and ore deposits exposed out of the ground) of a conglomerate target reservoir section, and manufacturing a plurality of cubic rock blocks with the same size and a plurality of cuboid rock plates with the same size by a rock core cutting machine. And two ends of a plurality of cuboid rock blocks with the same size are ground into semi-circular arcs according to the shape of the diversion chamber, and the rest places are ground to be flat, so that a plurality of ground rock plates are obtained.
Because the shape of rock is different with the rock plate, consequently, need choose for use different fracturing modes, can utilize true triaxial fracturing unit to carry out the fracturing respectively to a plurality of cubes rock according to the reservoir condition in target reservoir interval to the cube rock, obtain a plurality of rock after having the fracturing of different roughness fissures, wherein, above-mentioned reservoir condition can include: formation stress parameters, pore pressure, fracturing fluid displacement, and the like.
Furthermore, as the rough cracks are fractured through the press machine, and pressure points are arranged in the press machine, scratch marks can be drawn on the side surfaces of the cuboid rock plates through a pen or a nicking tool, and prefabricated scratches are obtained. According to the reservoir conditions of the target reservoir section, the plurality of cuboid rock plates are subjected to pressurization splitting according to the prefabricated scratch, and the press can press out one crack along the direction of the scratch, so that the fractured rock plates with a plurality of cracks with different roughness are obtained.
Because the rock plate and the rock block respectively adopt different fracturing modes, even if the rock block and the rock plate are fractured by adopting the same stratum stress parameter, different roughness can be obtained, and a plurality of pairs of rock block samples and rock plate samples with the same fracture surface roughness are selected by scanning and calculating the fracture surface roughness obtained by fracturing. In one embodiment, the rough surface topography data of the fractures in each of the fractured rock mass and the rock plate may be obtained by scanning the fracture surfaces in the fractured rock mass and the rock plate with a rock laser scanner. And selecting a plurality of pairs of fractured rock samples and rock plate samples matched with the surface roughness of a plurality of preset cracks according to the rough surface topography data of the fractured rock and the cracks in the rock plate.
In one embodiment, the rough surface topography data of the crack may be point cloud data of the height of the crack surface, and since the height of the crack surface after splitting is dense and not uniform, the point cloud needs to be calculated by the proportion of a certain determined height. Commonly used roughness-describing parameters are standard deviation, skewness, kurtosis, arithmetic mean height and peak-top maximum height. In the rough fracture surface description, the roughness of the fracture is generally described by using a standard deviation, the standard deviation is divided into an overall standard deviation and a sample standard deviation, when the roughness of the fracture surface is calculated, the sample standard deviation can be introduced to characterize the roughness of the fracture surface by considering the data acquisition principle, and a specific calculation formula is shown as the following formula:
wherein, the surface roughness of the crack is mm; z is a radical ofiThe height of the ith point on the surface of the crack is mm; z is the average value of the heights of all points on the surface of the crack, and is mm; n is the number of data points collected on the wall. The rough surface morphology data of the cracks obtained by scanning of the rock laser scanner is substituted into a formula to obtain the roughness of the surface of each fractured crack, and the roughness can be used for representing the roughness of different crack surfaces.
In one embodiment, the rock laser scanner may comprise a computer, a data acquisition device, a laser scanner, a laser displacement meter, a motor, a beam, a moving slide and a working platform. When the fractured surfaces of the cracks in the rock blocks and the rock plates are scanned, the laser displacement meter can slide on the cross beam and is positioned above the working platform for obtaining the coordinate values of each point of the fracture surface in the vertical (Z) direction on the working platform. The laser displacement meter is fixed on the movable sliding block, the movable sliding block is embedded on the beam, the beam is connected with the motor, the motor is controlled by the laser scanner to operate, the movable sliding block can move on the transverse direction (X) along the beam, and the scanning result is displayed in the
As shown in fig. 2, in the present embodiment, the sand-laying device may include: the sand mixing device comprises a
The sand-laying device main body 5 may include: the front plate and the rear plate are detachable, wherein a plurality of nuts used for adjusting the size of the seam width are arranged on the front plate and the rear plate. The sanding device body 5 may include an inlet and an outlet, and the inlet and outlet are a U-shaped removable piston-type template to allow lateral viewing of the seam width of the fracture and the presence of a blockage or sand blockage. The import department is connected with
The concrete steps when the sand paving device is utilized for paving sand can be as follows: weighing the fracturing fluid and the propping agent with the target sand ratio for later use; connecting a pipeline, filling clear water, checking a valve, opening the sand conveying pump 3 for testing, and turning off the sand conveying pump 3 and discharging the clear water if the whole device has no liquid leakage. Further, can add fracturing fluid, open defeated sand pump 3 for the sanding device main part is full of fracturing fluid earlier, then adds the fracturing fluid and the proppant that weigh and gets into
In one embodiment, the flow conductivity testing device may include: the system comprises a device host, a computer, a diversion chamber, a water storage tank, a thermocouple, a pressure sensor, a pressure balancer, a back pressure regulator, a calibrator, a pump, an inlet valve, an outlet valve, a pressure loading frame, a preheater, a balance and a pipeline. The pump is connected with an inlet valve, a preheater, a diversion chamber, an outlet valve, a back pressure valve and a balance in sequence through pipelines, and the pressure loading frame is arranged above and below the diversion chamber. The diversion chamber may include: the device comprises an upper piston cover plate, an upper piston, a piston rubber ring, a diversion chamber main body, a lower piston and a lower piston cover plate; the upper piston cover plate is connected with the upper piston, the lower piston cover plate is connected with the lower piston, a groove with arc ends at two ends is arranged in the middle of the diversion chamber main body and is respectively used for connecting the upper piston and the lower piston, the rock plate with rough surface appearance is placed between the upper piston and the lower piston, a propping agent is laid between the upper piston and the lower piston, a fluid inlet and a fluid outlet are respectively arranged at the front side and the rear side of the diversion chamber main body, 4 heating holes are arranged at the upper part and the lower part of the fluid inlet, two pressure detection holes are respectively arranged at the left side and the right side of the diversion chamber main body, and a movable joint.
From the above description, it can be seen that the embodiments of the present application achieve the following technical effects: the visual fracture mould is obtained by acquiring rough surface morphology data of fractures in a plurality of pairs of fractured rock samples, rock plate samples and each fractured rock sample and respectively introducing the rough surface morphology data of the fractures in the rock samples into a 3D printer. Therefore, a plurality of visual crack molds can be used for simulating sanding results of the propping agents with different parameters under the influence of the surface roughness of each preset crack, and the rock plate samples are used for conducting flow conductivity tests on the sanded sand levees. Furthermore, the optimal proppant parameters corresponding to the preset surface roughness of the fracture can be determined by comprehensively comparing and analyzing the sanding result obtained by sanding under different proppant parameters and the fracture conductivity obtained by testing, so that the proppant parameters can be optimized to meet the requirement of a target reservoir on the conductivity of the propped fracture, the sanding form in the fracture can be optimized, the fracturing modification effect can be improved, and guidance is provided for fracturing construction optimization.
The above method is described below with reference to a specific example, however, it should be noted that the specific example is only for better describing the present application and is not to be construed as limiting the present application.
The invention provides a method for determining proppant parameters in a rough hydraulic fracture, which comprises the following steps:
step 1: and simulating hydraulic fracturing of the formation fracture.
Underground rock cores of a conglomerate target reservoir section are collected and manufactured into a plurality of cube rock blocks (with the length of 30cm, the width of 30cm and the height of 30cm) and a plurality of cuboid rock plates (with the length of 18cm, the width of 4cm and the height of 1-2cm) with the same size through a rock core cutting machine. And two ends of a plurality of cuboid rock blocks with the same size are ground into semi-circular arcs according to the shape of the diversion chamber, and the rest places are ground to be flat, so that a plurality of ground rock plates are obtained.
And respectively fracturing a plurality of cube rock masses by using a true triaxial fracturing device, inputting stratum stress parameters and pore pressure of a target reservoir section into the true triaxial fracturing device, and setting the discharge capacity of fracturing fluid to make cracks to obtain a plurality of fractured rock masses with cracks with different roughness. The method comprises the steps that a plurality of polished rock plates are prefabricated, scratches are placed into a rock plate splitting groove, a splitting device is placed on a pressure loading frame, pressure is slowly applied through a pressure pump until cracks are pressed out, and the fake book after a plurality of fracturing is obtained.
And respectively scanning the fractured surfaces of the cracks in the rock blocks and the rock plates by adopting a rock laser scanner to obtain rough surface morphology data of the cracks in the fractured rock blocks and the rock plates. And selecting a plurality of pairs of fractured rock samples and rock plate samples matched with the surface roughness of a plurality of preset cracks according to the rough surface topography data of the fractured rock and the cracks in the rock plate. And guiding the rough surface appearance data of the cracks in each fractured rock into a 3D printer, printing the upper and lower crack surfaces which are the same as the real cracks through a transparent material, and repeatedly printing a plurality of visual crack molds. Wherein the upper half of the printed visual split mold may be as shown in fig. 3.
Step 2: proppant parameters are selected.
The adopted proppant types are quartz sand and ceramsite, and the mesh number of the proppant in each preset proppant parameter comprises: 20/40 mesh, 30/50 mesh, 40/70 mesh and 100/140 mesh. Sand placement and conductivity tests were performed on these several mesh proppants.
And step 3: migration of proppant in the fracture is simulated.
The construction method comprises the steps of obtaining a construction scheme of a target reservoir section, the volume of a sand mixing tank and a target proppant parameter in a plurality of preset proppant parameters, determining a target pumping displacement and a target sand ratio under the target pumping displacement according to the construction scheme, determining the volume of fracturing fluid according to the volume of the sand mixing tank, and determining the quality of the proppant under the target proppant parameter according to the target sand ratio. The visual sand paving device is spliced by the visual crack dies, the fracturing fluid and the propping agent which are weighed according to the volume of the fracturing fluid and the mass of the propping agent are stirred in the sand mixing tank, sand paving is carried out through the sand conveying pump, and a sand bank is formed in the sand paving device. And replacing the propping agents with different meshes, repeating the steps for sanding, recording the sand bank shape of the propping agent with each mesh after sanding is finished, differentiating the formed sand banks, calculating the area of the sand bank in each step, and calculating the porosity in the crack, thereby obtaining a plurality of target sanding results of sanding by using the propping agents with different meshes under the influence of the surface roughness of each preset crack.
And 4, step 4: and carrying out diversion test on the sand paving result.
And according to a plurality of target sand paving results, sequentially paving the propping agents with the same parameters as the target propping agents in the flow guide chambers of the rock plate samples with the corresponding crack surface roughness, and placing the flow guide chambers with the sand paving completed in a flow guide capability test device for flow guide capability test to obtain the flow guide capability of the paved cracks corresponding to the propping agents with different meshes under the influence of the preset crack surface roughness.
And 5: an optimal mesh and type of proppant is preferred.
The method comprises the steps of obtaining a plurality of preset proppant parameters, pump injection displacement and sand ratio used for sanding and conductivity testing, and performing software simulation by using the plurality of preset proppant parameters, pump injection displacement and sand ratio to obtain a sand bank shape simulation value under the influence of the surface roughness of each preset crack and a crack conductivity simulation value at the end of sanding. And the sand paving results and the fracture conductivity under the influence of the preset fracture surface roughness can be compared with the sand bank form simulation value and the fracture conductivity simulation value after sand paving is finished, so that the optimal proppant parameters corresponding to the preset fracture surface roughness are determined. The above sand bank form simulation value may be, as shown in fig. 4, a change of the support height and the support length in the joint with the construction time.
Furthermore, a group of proppant parameters corresponding to the sanding result and the fracture conductivity, which are the same as or most similar to the simulation value under the influence of the surface roughness of a certain fracture, can be used as the optimal proppant parameters of the surface roughness of the fracture, so that a plurality of groups of optimal proppant parameters corresponding to a certain pumping output, sand ratio and the surface roughness of the certain fracture can be obtained.
Based on the same inventive concept, the embodiment of the application also provides a device for determining the proppant parameter in the rough hydraulic fracture, such as the following embodiment. The principle of solving the problem of the device for determining the proppant parameter in the rough hydraulic fracture is similar to the method for determining the proppant parameter in the rough hydraulic fracture, so the implementation of the device for determining the proppant parameter in the rough hydraulic fracture can be referred to the implementation of the method for determining the proppant parameter in the rough hydraulic fracture, and repeated details are not repeated. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated. Fig. 5 is a block diagram of a structure of a proppant parameter determining device in a rough hydraulic fracture according to an embodiment of the present application, and as shown in fig. 5, the device may include: the system comprises an acquisition module 501, an import module 502, a sanding module 503, a conductivity testing module 504 and a proppant parameter determination module 505, and the structure is explained below.
The obtaining module 501 may be configured to obtain multiple pairs of fractured rock samples, rock plate samples, and rough surface topography data of cracks in each fractured rock sample, where the crack surface roughness of each pair of fractured rock samples is the same as that of each rock plate sample;
the importing module 502 can be used for importing rough surface topography data of cracks in a plurality of rock samples into a 3D printer respectively to obtain a plurality of visual crack molds;
the sanding module 503 can be used for sanding under a plurality of preset proppant parameters by using a plurality of visual fracture molds to obtain a plurality of groups of sanding results under the influence of the preset fracture surface roughness;
the conductivity testing module 504 may be configured to perform conductivity testing after sanding on a plurality of preset proppant parameters by using a plurality of rock samples, respectively, to obtain a plurality of groups of fracture conductivity under the influence of each preset fracture surface roughness;
the proppant parameter determining module 505 may be configured to determine an optimal proppant parameter corresponding to each preset fracture surface roughness according to a plurality of sets of sanding results and fracture conductivity under the influence of each preset fracture surface roughness.
The embodiment of the present application further provides an electronic device, which may specifically refer to a schematic structural diagram of the electronic device shown in fig. 6 based on the method for determining the proppant parameter in the rough hydraulic fracture provided in the embodiment of the present application, and the electronic device may specifically include an input device 61, a processor 62, and a memory 63. The input device 61 may be specifically configured to input rough surface topography data of fractures in each fractured rock sample. The processor 62 may be specifically configured to obtain a plurality of pairs of fractured rock samples, a rock plate sample, and rough surface topography data of fractures in each fractured rock sample, where the fracture surface roughness of each pair of fractured rock samples is the same as the fracture surface roughness of the rock plate sample; respectively importing rough surface topography data of cracks in a plurality of rock block samples into a 3D printer to obtain a plurality of visual crack molds; sanding is carried out on a plurality of visual crack molds under a plurality of preset proppant parameters respectively to obtain a plurality of groups of sanding results under the influence of the surface roughness of each preset crack; carrying out conductivity test after sanding on a plurality of rock plate samples under a plurality of preset proppant parameters used by corresponding visual crack molds respectively to obtain a plurality of groups of crack conductivity under the influence of the surface roughness of each preset crack; and determining the optimal proppant parameters corresponding to the preset crack surface roughness according to a plurality of groups of sanding results and crack flow conductivity under the influence of the preset crack surface roughness. The memory 63 may be specifically configured to store parameters such as an optimal proppant parameter, a sanding result, and a fracture conductivity corresponding to each preset fracture surface roughness.
In this embodiment, the input device may be one of the main apparatuses for information exchange between a user and a computer system. The input devices may include a keyboard, mouse, camera, scanner, light pen, handwriting input panel, voice input device, etc.; the input device is used to input raw data and a program for processing the data into the computer. The input device can also acquire and receive data transmitted by other modules, units and devices. The processor may be implemented in any suitable way. For example, a processor may take the form of, for example, a microprocessor or processor and a computer-readable medium that stores computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, an embedded microcontroller, and so forth. The memory may in particular be a memory device used in modern information technology for storing information. The memory may include multiple levels, and in a digital system, memory may be used as long as binary data can be stored; in an integrated circuit, a circuit without a physical form and with a storage function is also called a memory, such as a RAM, a FIFO and the like; in the system, the storage device in physical form is also called a memory, such as a memory bank, a TF card and the like.
In this embodiment, the functions and effects specifically realized by the electronic device can be explained by comparing with other embodiments, and are not described herein again.
There is also provided in an embodiment of the present application a computer storage medium based method for determining proppant parameters in a rough hydraulic fracture, the computer storage medium storing computer program instructions that, when executed, implement: acquiring rough surface topography data of cracks in a plurality of pairs of fractured rock samples, rock plate samples and each fractured rock sample, wherein the crack surface roughness of each pair of fractured rock samples is the same as that of each rock plate sample; respectively importing rough surface topography data of cracks in a plurality of rock block samples into a 3D printer to obtain a plurality of visual crack molds; sanding is carried out on a plurality of visual crack molds under a plurality of preset proppant parameters respectively to obtain a plurality of groups of sanding results under the influence of the surface roughness of each preset crack; carrying out conductivity test after sanding on a plurality of rock plate samples under a plurality of preset proppant parameters used by corresponding visual crack molds respectively to obtain a plurality of groups of crack conductivity under the influence of the surface roughness of each preset crack; and determining the optimal proppant parameters corresponding to the preset crack surface roughness according to a plurality of groups of sanding results and crack flow conductivity under the influence of the preset crack surface roughness.
In the present embodiment, the storage medium includes, but is not limited to, a Random Access Memory (RAM), a Read-Only Memory (ROM), a Cache (Cache), a Hard disk (HDD), or a Memory Card (Memory Card). The memory may be used to store computer program instructions. The network communication unit may be an interface for performing network connection communication, which is set in accordance with a standard prescribed by a communication protocol.
In this embodiment, the functions and effects specifically realized by the program instructions stored in the computer storage medium can be explained by comparing with other embodiments, and are not described herein again.
It will be apparent to those skilled in the art that the modules or steps of the embodiments of the present application described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different from that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, embodiments of the present application are not limited to any specific combination of hardware and software.
Although the present application provides method steps as described in the above embodiments or flowcharts, additional or fewer steps may be included in the method, based on conventional or non-inventive efforts. In the case of steps where no necessary causal relationship exists logically, the order of execution of the steps is not limited to that provided by the embodiments of the present application. When the method is executed in an actual device or end product, the method can be executed sequentially or in parallel according to the embodiment or the method shown in the figure (for example, in the environment of a parallel processor or a multi-thread processing).
It is to be understood that the above description is intended to be illustrative, and not restrictive. Many embodiments and many applications other than the examples provided will be apparent to those of skill in the art upon reading the above description. The scope of the application should, therefore, be determined not with reference to the above description, but instead should be determined with reference to the pending claims along with the full scope of equivalents to which such claims are entitled.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and it will be apparent to those skilled in the art that various modifications and variations can be made in the embodiment of the present application. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
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