Hydrocarbon source rock effectiveness evaluation model construction method and hydrocarbon source rock effectiveness evaluation method

文档序号:600285 发布日期:2021-05-04 浏览:4次 中文

阅读说明:本技术 烃源岩有效性评价模型构建方法及烃源岩有效性评价方法 (Hydrocarbon source rock effectiveness evaluation model construction method and hydrocarbon source rock effectiveness evaluation method ) 是由 庞宏 马奎友 陈君青 吴松 张心罡 黄胜敏 火勋港 丛奇 张迪 于 2021-01-05 设计创作,主要内容包括:本发明提供一种烃源岩有效性评价模型构建方法及烃源岩有效性评价方法。烃源岩有效性评价模型构建方法包括:获取区域典型烃源岩样品;基于各烃源岩样品确定其排烃差量,进而确定各烃源岩样品的烃源岩有效性评价参数;确定各烃源岩样品的热解参数,并基于各烃源岩样品的各热解参数,确定各烃源岩样品的热解组合参数;其中,热解组合参数为由各热解参数派生的、能够反映烃源岩的生烃和/或残留烃能力的且互不线性相关的参数;基于各烃源岩样品的各热解组合参数,利用主成分分析方法构造出相互独立的主成分;基于各烃源岩样品的烃源岩有效性评价参数以及各主成分,构建烃源岩有效性评价参数关于主成分的计算模型即烃源岩有效性评价模型。(The invention provides a method for constructing a hydrocarbon source rock effectiveness evaluation model and a method for evaluating the effectiveness of a hydrocarbon source rock. The method for constructing the hydrocarbon source rock effectiveness evaluation model comprises the following steps: obtaining a typical hydrocarbon source rock sample of a region; determining the hydrocarbon discharging difference amount of each hydrocarbon source rock sample based on each hydrocarbon source rock sample, and further determining the hydrocarbon source rock effectiveness evaluation parameters of each hydrocarbon source rock sample; determining pyrolysis parameters of each source rock sample, and determining pyrolysis combination parameters of each source rock sample based on each pyrolysis parameter of each source rock sample; wherein the pyrolysis combination parameters are derived from each pyrolysis parameter, can reflect the hydrocarbon generation and/or residual hydrocarbon capacity of the hydrocarbon source rock, and are not linearly related to each other; constructing mutually independent main components by utilizing a main component analysis method based on each pyrolysis combination parameter of each hydrocarbon source rock sample; and constructing a calculation model of the hydrocarbon source rock effectiveness evaluation parameters relative to the main components, namely a hydrocarbon source rock effectiveness evaluation model, based on the hydrocarbon source rock effectiveness evaluation parameters and the main components of the hydrocarbon source rock samples.)

1. A method for constructing a hydrocarbon source rock effectiveness evaluation model comprises the following steps:

obtaining a typical hydrocarbon source rock sample of a region;

determining the hydrocarbon discharging difference of each hydrocarbon source rock sample based on the obtained typical hydrocarbon source rock sample in the region, and further determining the hydrocarbon source rock effectiveness evaluation parameters of each hydrocarbon source rock sample;

determining pyrolysis parameters of each source rock sample, and determining pyrolysis combination parameters of each source rock sample based on each pyrolysis parameter of each source rock sample; wherein the pyrolysis combination parameters are derived from each pyrolysis parameter, can reflect the hydrocarbon generation and/or residual hydrocarbon capacity of the hydrocarbon source rock, and are not linearly related to each other;

constructing mutually independent main components by utilizing a main component analysis method based on each pyrolysis combination parameter of each hydrocarbon source rock sample;

and constructing a calculation model of the hydrocarbon source rock effectiveness evaluation parameters relative to the main components, namely a hydrocarbon source rock effectiveness evaluation model, based on the hydrocarbon source rock effectiveness evaluation parameters and the main components of the hydrocarbon source rock samples.

2. The method of claim 1, wherein the pyrolysis parameters of the source rock sample comprise an amount of dissolved hydrocarbons, an amount of cracked hydrocarbons, a maximum pyrolysis peak temperature, a total amount of organic carbon, and a vitrinite reflectance.

3. The method of claim 1 or 2, wherein the pyrolysis combination parameters comprise: at least two of an amount of dissolved hydrocarbons, an amount of cracked hydrocarbons, an organic carbon content, a maximum pyrolysis peak temperature, a vitrinite reflectance, a ratio of an amount of dissolved hydrocarbons to an amount of cracked hydrocarbons, a ratio of an amount of cracked hydrocarbons to an amount of dissolved hydrocarbons, a ratio of an amount of dissolved hydrocarbons to a total amount of hydrocarbon generation potential, a ratio of an amount of dissolved hydrocarbons to a total amount of organic carbon, a ratio of an amount of cracked hydrocarbons to a total amount of organic carbon, and a hydrocarbon generation potential index.

4. The method of claim 1, wherein determining the bleeding delta for each source rock sample based on obtaining regional representative source rock samples is based on a bleeding threshold theory.

5. The method of claim 1 or 4, wherein the source rock effectiveness evaluation parameter is a drainage dispersion or a normalized drainage dispersion;

preferably, the hydrocarbon source rock availability evaluation parameter for each hydrocarbon source rock sample is determined by the following formula:

in the formula, COP is hydrocarbon source rock effectiveness evaluation parameterNumber, dimensionless; CL is hydrocarbon discharging difference of hydrocarbon source rock sample, Kg/m3;CLMaxIs the maximum value of the difference of the discharged hydrocarbons in the hydrocarbon source rock sample and has the unit of Kg/m3;CLMinIs the minimum value of the difference of the discharged hydrocarbons in the hydrocarbon source rock sample, Kg/m3

6. The method according to claim 1, wherein the constructing of the independent principal component by the principal component analysis method comprises: and (3) fusing and dimensionality reduction are carried out on all pyrolysis combination parameters by utilizing principal component analysis to obtain principal components representing more than 95% of information of all pyrolysis combination parameters.

7. A method of determining an effective source rock, wherein the method comprises:

constructing to obtain a source rock effectiveness evaluation model by adopting the source rock effectiveness evaluation model construction method of any one of claims 1 to 6;

acquiring pyrolysis combination parameters of target hydrocarbon source rocks;

and determining the hydrocarbon source rock effectiveness evaluation parameters of the target hydrocarbon source rock by using the hydrocarbon source rock effectiveness evaluation model based on the pyrolysis combination parameters of the target hydrocarbon source rock, and judging the effectiveness of the target hydrocarbon source rock by using the hydrocarbon source rock effectiveness evaluation parameters of the target hydrocarbon source rock.

8. The method of claim 7, wherein the hydrocarbon source rock effectiveness evaluation model is constructed by:

COP0=a0+a1·PC1+a2·PC2+…+anPCn, wherein,

PCk=bk1·I1+bk2·I2+……+bkm·Imwherein k is 1,2 … … n;

in the formula, COP0The evaluation parameter is a hydrocarbon source rock effectiveness evaluation parameter without dimension; i isi(i ═ 1,2 … … m) is the pyrolysis composition parameter; bki(i ═ 1,2 … … m) is a coefficient; a isi(i ═ 1,2 … … m) is a coefficient; PCk is a main component.

9. The method of claim 8, wherein the hydrocarbon source rock effectiveness evaluation model is constructed by:

COP0-0.124+0.111PC1+0.068PC2+0.034PC3-0.034PC4+0.003PC5, wherein,

wherein S1 is the amount of dissolved hydrocarbon, mg/g; s2In terms of cracked hydrocarbon content, mg/g, TOC are organic carbon content, wt%, TmaxMaximum pyrolysis peak temperature, deg.C; roVitrinite reflectance,%; s1/S2Is the ratio of the amount of dissolved hydrocarbons to the amount of cracked hydrocarbons,%; s2/S1Is the ratio of the amount of cracked hydrocarbons to the amount of dissolved hydrocarbons,%; s1/(S1+S2) Is the ratio of the amount of dissolved hydrocarbons to the hydrocarbon-generating potential,%; s1TOC is the ratio of the amount of dissolved hydrocarbons to the total amount of organic carbon, mg/g; s2TOC is the ratio of the amount of cracked hydrocarbons to the total amount of organic carbon, mg/g; (S)1+S2) TOC is the hydrocarbon potential index, mg/g.

10. The method of claim 7, wherein evaluating the effectiveness of the parameter on the target source rock using the source rock effectiveness of the target source rock comprises:

determining a hydrocarbon source rock effectiveness evaluation parameter threshold of an effective hydrocarbon source rock;

evaluating the effectiveness of the target hydrocarbon source rock by utilizing the hydrocarbon source rock effectiveness evaluation parameter threshold of the effective hydrocarbon source rock based on the hydrocarbon source rock effectiveness evaluation parameter of the target hydrocarbon source rock;

preferably, the threshold of the hydrocarbon source rock validity evaluation parameter for determining the valid hydrocarbon source rock is realized by the following steps:

and determining the hydrocarbon source rock effectiveness evaluation parameter boundary value of the effective hydrocarbon source rock and the ineffective hydrocarbon source rock by using the regional typical hydrocarbon source rock sample as the hydrocarbon source rock effectiveness evaluation parameter threshold value of the effective hydrocarbon source rock.

Technical Field

The invention belongs to the field of evaluation of source rocks, and relates to a method for constructing a source rock effectiveness evaluation model and a source rock effectiveness evaluation method.

Background

Hunt in 1979 led to the concept of effective source rock, a fine grained sedimentary rock that has been produced and released under its natural conditions sufficient to form commercial oil and gas aggregates, in a work entitled Petroleum Geochemistry and genetics.

The traditional method for judging the effectiveness of the source rock mainly depends on the organic carbon content (TOC), chloroform bitumen 'A', total Hydrocarbon (HC) and hydrocarbon generation potential (S)1+S2) And the like, wherein the effectiveness of a TOC lower limit method for distinguishing the hydrocarbon source rock is widely applied by a large number of scholars. The TOC lower limit method is used for judging the effectiveness of the source rocks, but the TOC lower limit method cannot be used for judging the effectiveness of the high-evolution low-abundance source rocks. Tissot and Welte (1978) has in their work Petroleum Format and Occurence as follows: "the minimum organic carbon value as a measure of the oil formation cannot be applied to the rock at the higher metamorphic stage where the organic carbon value of 0.3 or 0.5 reflects only the residual amount of organic matter, and the original amount may have been more than twice as large". Visible high evolution lowThe abundance effective source rock inevitably exists in nature, but the conventional TOC lower limit method is not suitable for judging the effectiveness of the source rock.

Pomandr et al, in the text "source of crude oil from very large marine fields in the talimu basin — evaluation of evidence and relative contributions from deep low-TOC source rocks" (proceedings of petrology, first 23-41 pages 2018): according to geological geochemical evidences of kerogen element along with changes of buried depth, hydrocarbon generation potential changes, ancient TOC recovery and the like, the fact that a large amount of hydrocarbon generation and discharge of deep low-abundance hydrocarbon source rocks in the basin region of the Tarim basin is proved; and the effectiveness of the deep low-abundance hydrocarbon source rock in the platform basin area of the Tarim basin is judged by utilizing a hydrocarbon discharge threshold method. The hydrocarbon elimination threshold method is based on the basic effective hydrocarbon source rock concept, and the effectiveness of the hydrocarbon source is judged by calculating the difference value between the total hydrocarbon generation amount and the maximum residual amount of the hydrocarbon source rock. Although the method judges the effectiveness of all types of hydrocarbon source rocks, the method needs a large number of data parameters and is too cumbersome to operate. Although the article also proposes a method for identifying the effectiveness of low-abundance source rocks based on pyrolysis data, it has strong limitations: firstly, the article only utilizes the effectiveness of 5 pyrolysis data low-abundance hydrocarbon source rocks to judge and identify, so that the accuracy of a judging formula is not ideal; secondly, the method is only suitable for deep low-abundance hydrocarbon source rocks, and the application range is limited. In conclusion, the general method capable of effectively judging the effectiveness of the hydrocarbon source rock by using pyrolysis data information is lacked in the field.

Therefore, it is a technical problem to be solved in the art to provide a method for determining the validity of a hydrocarbon source rock with high efficiency and high accuracy.

Disclosure of Invention

The invention aims to provide a method for constructing a hydrocarbon source rock effectiveness evaluation model based on fusion of various rock pyrolysis parameters; the hydrocarbon source rock effectiveness evaluation model constructed by the method can be well suitable for effectiveness judgment of various abundant hydrocarbon source rocks, and effectiveness judgment results are more reliable.

The invention aims to provide a method for rapidly determining effective hydrocarbon source rocks based on fusion of various rock pyrolysis parameters, and the method has high efficiency and high accuracy.

In order to achieve the purpose, the invention provides a method for constructing a hydrocarbon source rock effectiveness evaluation model, wherein the method comprises the following steps:

obtaining a typical hydrocarbon source rock sample of a region;

determining the hydrocarbon discharging difference of each hydrocarbon source rock sample based on the obtained typical hydrocarbon source rock sample in the region, and further determining the hydrocarbon source rock effectiveness evaluation parameters of each hydrocarbon source rock sample;

determining pyrolysis parameters of each source rock sample, and determining pyrolysis combination parameters of each source rock sample based on each pyrolysis parameter of each source rock sample; wherein the pyrolysis combination parameters are derived from each pyrolysis parameter, can reflect the hydrocarbon generation and/or residual hydrocarbon capacity of the hydrocarbon source rock, and are not linearly related to each other;

constructing mutually independent main components by utilizing a main component analysis method based on each pyrolysis combination parameter of each hydrocarbon source rock sample;

and constructing a calculation model of the hydrocarbon source rock effectiveness evaluation parameters relative to the main components, namely a hydrocarbon source rock effectiveness evaluation model, based on the hydrocarbon source rock effectiveness evaluation parameters and the main components of the hydrocarbon source rock samples.

In the method for constructing the source rock effectiveness evaluation model, the hydrocarbon expulsion differential quantity refers to a difference value between the actual residual hydrocarbon quantity of the source rock and the hydrocarbon expulsion threshold residual hydrocarbon quantity and is used for representing the hydrocarbon expulsion degree of the source rock.

In the source rock effectiveness evaluation model construction method, the relationship is established between the effectiveness evaluation parameters and pyrolysis parameter combination variable information of typical source rocks in a certain area through a unique means to obtain the regional source rock effectiveness evaluation model, so that the credibility and the feasibility are high, and meanwhile, the distinguishing efficiency of the effective source rocks is greatly improved.

In the above method for constructing a model for evaluating the effectiveness of a source rock, preferably, the pyrolysis parameter of the source rock sample includes a dissolved hydrocarbon amount (S)1) Amount of cracking hydrocarbon (S)2) Maximum pyrolysis peak temperature (T)max) Total Organic Carbon (TOC) and vitrinite reflectance (R)o)。

In the above method for constructing a model for evaluating the effectiveness of a hydrocarbon source rock, the pyrolysis combination parameters preferably include: amount of dissolved hydrocarbons (S)1) Amount of cracking hydrocarbon (S)2) Organic carbon content (TOC), maximum pyrolysis peak temperature (T)max) Reflectance (R) of vitriniteo) The ratio of the amount of dissolved hydrocarbons to the amount of cracked hydrocarbons (S)1/S2) The ratio of the amount of cracked hydrocarbons to the amount of dissolved hydrocarbons (S)2/S1) The ratio of the amount of dissolved hydrocarbons to the hydrocarbon-generating potential (S)1/(S1+S2) The amount of dissolved hydrocarbons to the total amount of organic carbon (S)1TOC), the ratio of the amount of cracked hydrocarbons to the total amount of organic carbon (S)2TOC and Hydrocarbon potential index (S)1+S2) /TOC).

In the source rock effectiveness evaluation model construction method, preferably, the hydrocarbon discharge difference amount of each source rock sample is determined based on a hydrocarbon discharge threshold theory based on the obtained regional typical source rock samples. In a specific embodiment, firstly, a hydrocarbon expulsion threshold theory is utilized to obtain the residual hydrocarbon quantity and the actual residual hydrocarbon quantity of the hydrocarbon expulsion threshold of a unit volume of target hydrocarbon source rock; and then, calculating a hydrocarbon expulsion difference amount, namely the difference value between the actual residual hydrocarbon amount of the source rock and the hydrocarbon expulsion threshold residual hydrocarbon amount, and using the hydrocarbon expulsion difference amount to represent the hydrocarbon expulsion degree of the source rock.

In the method for constructing the hydrocarbon source rock effectiveness evaluation model, preferably, the hydrocarbon source rock effectiveness evaluation parameter is a hydrocarbon discharge difference or a normalized hydrocarbon discharge difference; more preferably, the hydrocarbon source rock availability evaluation parameter for each hydrocarbon source rock sample is determined by the following formula:

in the formula, COP is hydrocarbon source rock effectiveness evaluation parameter and is dimensionless; CL is hydrocarbon discharging difference of hydrocarbon source rock sample, Kg/m3;CLMaxIs the maximum value of the difference of the discharged hydrocarbons in the hydrocarbon source rock sample and has the unit of Kg/m3;CLMinIs the minimum value of the difference of the discharged hydrocarbons in the hydrocarbon source rock sample, Kg/m3

In the above method for constructing a model for evaluating the effectiveness of a hydrocarbon source rock, preferably, the method for constructing a main component index independent of each other by using a main component analysis method comprises: and (3) fusing and dimensionality reduction are carried out on all pyrolysis combination parameters by utilizing principal component analysis to obtain principal components representing more than 95% of information of all pyrolysis combination parameters.

In the method for constructing the source rock validity evaluation model, preferably, the calculation model of the source rock validity evaluation parameters with respect to the principal components is constructed based on the source rock validity evaluation parameters and the principal components of each source rock sample, and the calculation model is obtained by fitting through an optimal regression analysis method.

The invention also provides a method of determining an effective source rock, the method comprising:

constructing to obtain a source rock effectiveness evaluation model by adopting the source rock effectiveness evaluation model construction method;

acquiring pyrolysis combination parameters of target hydrocarbon source rocks;

and determining the hydrocarbon source rock effectiveness evaluation parameters of the target hydrocarbon source rock by using the hydrocarbon source rock effectiveness evaluation model based on the pyrolysis combination parameters of the target hydrocarbon source rock, and judging the effectiveness of the target hydrocarbon source rock by using the hydrocarbon source rock effectiveness evaluation parameters of the target hydrocarbon source rock.

In the method for determining the effective source rock, preferably, the effective source rock effectiveness evaluation model is constructed by:

COP0=a0+a1·PC1+a2·PC2+…+anPCn, wherein,

PCk=bk1·I1+bk2·I2+……+bkm·Imwherein k is 1, 2.. n;

in the formula, COP0The evaluation parameter is a hydrocarbon source rock effectiveness evaluation parameter without dimension; i isi(i 1, 2.. m) is a pyrolysis combination parameter; bki(i 1, 2.. m) is a coefficient; a isi(i 1, 2.. m) is a coefficient; PCk is a main component;

in a specific embodiment, the hydrocarbon source rock effectiveness evaluation model is constructed by:

COP0=-0.124+0.111PC1+0.068PC2+0.034PC3-0.034PC4+0.003PC5, wherein,

in the formula, S1Mg/g for dissolved hydrocarbon amount; s2In terms of cracked hydrocarbon content, mg/g, TOC are organic carbon content, wt%, TmaxMaximum pyrolysis peak temperature, deg.C; roVitrinite reflectance,%; s1/S2Is the ratio of the amount of dissolved hydrocarbons to the amount of cracked hydrocarbons,%; s2/S1Is the ratio of the amount of cracked hydrocarbons to the amount of dissolved hydrocarbons,%; si/(S1+S2) Is the ratio of the amount of dissolved hydrocarbons to the hydrocarbon-generating potential,%; s1TOC is the ratio of the amount of dissolved hydrocarbons to the total amount of organic carbon, mg/g; s2TOC is the ratio of the amount of cracked hydrocarbons to the total amount of organic carbon, mg/g; (S)1+S2) TOC is the hydrocarbon potential index, mg/g.

In the above method of determining an effective source rock, preferably, the evaluating the effectiveness of the parameter on the target source rock using the source rock effectiveness of the target source rock includes:

determining a hydrocarbon source rock effectiveness evaluation parameter threshold of an effective hydrocarbon source rock;

evaluating the effectiveness of the target hydrocarbon source rock by utilizing the hydrocarbon source rock effectiveness evaluation parameter threshold of the effective hydrocarbon source rock based on the hydrocarbon source rock effectiveness evaluation parameter of the target hydrocarbon source rock;

the hydrocarbon source rock effectiveness evaluation parameter threshold value for determining the effective hydrocarbon source rock is preferably realized by the following steps: and determining the hydrocarbon source rock effectiveness evaluation parameter boundary value of the effective hydrocarbon source rock and the ineffective hydrocarbon source rock by using the regional typical hydrocarbon source rock sample as the hydrocarbon source rock effectiveness evaluation parameter threshold value of the effective hydrocarbon source rock.

The hydrocarbon source rock effectiveness evaluation model construction method provided by the invention combines the hydrocarbon discharge differential quantity and the pyrolysis parameters based on the fusion of various rock pyrolysis parameters to construct a model which has strong regional applicability and can efficiently evaluate the effectiveness of the hydrocarbon source rock.

According to the method for determining the effective source rock, the model constructed by the method for constructing the effectiveness evaluation model of the source rock is utilized, and the method integrates the accuracy of the effectiveness evaluation of the source rock based on the hydrocarbon expulsion differential quantity and the high efficiency of the acquisition of pyrolysis parameters.

Drawings

Fig. 1 is a schematic flow chart of a method for constructing a hydrocarbon source rock validity evaluation model according to an embodiment of the present invention.

Fig. 2 is a schematic flow chart of a method for determining an effective source rock according to an embodiment of the present invention.

Fig. 3 is a schematic model diagram of the calculation of the pyrolysis evaluation Coefficient (COP) of the sample by using the residual hydrocarbon discharge amount (CL) of the sample provided in example 1.

FIG. 4 is a process flow diagram of a method for rapidly determining the effectiveness of a source rock using rock pyrolysis parameters of example 1.

FIG. 5 is a chart of the correlation between the pyrolysis combination parameter and the amount of hydrocarbon rejection (CL) determined in example 1.

FIG. 6 is a calculated value of the pyrolysis evaluation Coefficient (COP) of the source rock sample in example 10) And the regression analysis chart of actual value (COP).

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be described in detail and completely with reference to the drawings in the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The principles and spirit of the present invention are explained in detail below with reference to several representative embodiments of the invention.

Referring to fig. 1, an embodiment of the present invention provides a method for constructing a model for evaluating the effectiveness of a hydrocarbon source rock, where the method includes:

step S1: obtaining a typical hydrocarbon source rock sample of a region;

step S2: determining the hydrocarbon discharging difference of each hydrocarbon source rock sample based on the obtained typical hydrocarbon source rock sample in the region, and further determining the hydrocarbon source rock effectiveness evaluation parameters of each hydrocarbon source rock sample;

step S3: determining pyrolysis parameters of each source rock sample, and determining pyrolysis combination parameters of each source rock sample based on each pyrolysis parameter of each source rock sample; wherein the pyrolysis combination parameters are derived from each pyrolysis parameter, can reflect the hydrocarbon generation and/or residual hydrocarbon capacity of the hydrocarbon source rock, and are not linearly related to each other;

step S4: constructing mutually independent main components by utilizing a main component analysis method based on each pyrolysis combination parameter of each hydrocarbon source rock sample;

step S5: and constructing a calculation model of the hydrocarbon source rock effectiveness evaluation parameters relative to the main components, namely a hydrocarbon source rock effectiveness evaluation model, based on the hydrocarbon source rock effectiveness evaluation parameters and the main components of the hydrocarbon source rock samples.

According to the method for constructing the hydrocarbon source rock effectiveness evaluation model, the relationship is established between the effectiveness evaluation parameters of typical hydrocarbon source rocks in a certain area and pyrolysis parameter combination variable information through a unique means, the hydrocarbon source rock effectiveness evaluation model in the area is obtained, the credibility and the feasibility are high, and meanwhile the distinguishing efficiency of effective hydrocarbon source rocks is greatly improved.

The mechanism that the model constructed by the method for constructing the hydrocarbon source rock effectiveness evaluation model can realize the hydrocarbon source rock effectiveness evaluation is as follows: the organic carbon content (TOC) of the valid source rock may be very different from that of the invalid source rock, and may be very different; the two main differences are that effective source rocks have discharged hydrocarbons in the period of the geological history, and ineffective source rocks do not contribute to the generation of oil gas; the hydrocarbon expulsion delta (CL) may effectively reflect whether the source rock is expelled. If the hydrocarbon expulsion difference (CL) is a positive number, the hydrocarbon source rock sample is subjected to hydrocarbon expulsion and is effective low-abundance hydrocarbon source rock; on the contrary, if the hydrocarbon expulsion difference (CL) is a negative number, the hydrocarbon source rock sample is an invalid hydrocarbon source rock. The invention establishes an expression based on pyrolysis parameters and capable of representing the hydrocarbon discharge difference, thereby realizing the hydrocarbon source rock effectiveness evaluation by using the pyrolysis parameters.

Further, the pyrolysis parameters are carried out by using a pyrolysis instrument and selecting a conventional pyrolysis experimental method; the specific pyrolysis operation can be determined by selecting a pyrolysis instrument; in one embodiment, the pyrolysis parameters are obtained using a conventional rock pyrolysis test and a carbon sulfur analysis test.

Further, the pyrolysis parameter of the source rock sample includes an amount of dissolved hydrocarbons (S)1) Amount of cracking hydrocarbon (S)2) Maximum pyrolysis peak temperature (T)max) Total Organic Carbon (TOC) and vitrinite reflectance (R)o)。

Wherein, a single pyrolysis parameter combination is utilized to form a pyrolysis combination parameter which can reflect the hydrocarbon generation capability of the hydrocarbon source rock and the residual hydrocarbon and is irrelevant to each other; the principle is as follows: the single pyrolysis parameter can reflect the hydrocarbon generation and residual hydrocarbon capability of the hydrocarbon source rock, and a large amount of pyrolysis parameters are combined to form a combined pyrolysis parameter in order to discover the utilization value of the pyrolysis parameter as much as possible; and (3) respectively testing the correlation between each pyrolysis combination parameter and the hydrocarbon discharging difference (CL) of the sample, wherein the correlation indicates that the parameter can reflect the hydrocarbon generation and residual hydrocarbon capability of the hydrocarbon source rock to a certain extent. Further, the pyrolysis combination parameters include: amount of dissolved hydrocarbons (S)1) Amount of cracking hydrocarbon (S)2) Organic carbon content (TOC), maximum pyrolysis peak temperature (T)max) MirrorPlastid reflectance (R)o) The ratio of the amount of dissolved hydrocarbons to the amount of cracked hydrocarbons (S)1/S2) The ratio of the amount of cracked hydrocarbons to the amount of dissolved hydrocarbons (S)2/S1) The ratio of the amount of dissolved hydrocarbons to the hydrocarbon-generating potential (S)1/(S1+S2) The amount of dissolved hydrocarbons to the total amount of organic carbon (S)1TOC), the ratio of the amount of cracked hydrocarbons to the total amount of organic carbon (S)2TOC and Hydrocarbon potential index (S)1+S2) /TOC).

Further, determining hydrocarbon discharge differential quantity of each hydrocarbon source rock sample based on the obtained typical hydrocarbon source rock sample of the region based on a hydrocarbon discharge threshold theory; for example, the hydrocarbon expulsion threshold residual hydrocarbon amount and the actual residual hydrocarbon amount of a unit volume of target hydrocarbon source rock are obtained by using the hydrocarbon expulsion threshold theory; and then, calculating a hydrocarbon expulsion difference amount, namely the difference value between the actual residual hydrocarbon amount of the source rock and the hydrocarbon expulsion threshold residual hydrocarbon amount, and using the hydrocarbon expulsion difference amount to represent the hydrocarbon expulsion degree of the source rock.

Further, the hydrocarbon source rock effectiveness evaluation parameter is a hydrocarbon discharge difference or a normalized hydrocarbon discharge difference;

further, determining a source rock effectiveness evaluation parameter for each source rock sample by the following formula:

in the formula, COP is hydrocarbon source rock effectiveness evaluation parameter and is dimensionless; CL is hydrocarbon discharging difference of hydrocarbon source rock sample, Kg/m3;CLMaxIs the maximum value of the difference of the discharged hydrocarbons in the hydrocarbon source rock sample and has the unit of Kg/m3;CLMinIs the minimum value of the difference of the discharged hydrocarbons in the hydrocarbon source rock sample, Kg/m3

In an embodiment of the present invention, a model for calculating a hydrocarbon source rock effectiveness evaluation parameter (COP) of each sample according to the hydrocarbon expulsion difference (CL) of each sample is shown in fig. 3; the principle is as follows: the difference of the hydrocarbon discharge difference (CL) values of all samples is very different, so that the fitting of a quick discrimination formula is not facilitated; therefore, normalization processing is carried out on the hydrocarbon discharge residual quantity (CL) which is widely distributed, and the hydrocarbon discharge residual quantity is converted into a hydrocarbon source rock effectiveness evaluation parameter (COP) with a numerical value distribution between-1 and 1; and the hydrocarbon source rock effectiveness evaluation parameter (COP) and the corresponding hydrocarbon expulsion difference (CL) have the same positive and negative, and can be used for judging the effectiveness of the low-abundance hydrocarbon source rock sample.

Further, the principal component analysis method is utilized to construct mutually independent principal component fingers: fusing and dimensionality reduction are carried out on all pyrolysis combination parameters by using a principal component analysis method to obtain principal components representing more than 95% of information of all pyrolysis combination parameters;

still further, the amount of principal component is less than the amount of pyrolysis combination parameter; in one embodiment, the number of principal components is significantly less than the number of pyrolysis combination parameters, e.g., the number of principal components does not exceed half the number of pyrolysis combination parameters;

for example, the principal component analysis is used for fusing and dimensionality reduction on 11 pyrolysis combination parameters to obtain 5 principal components representing more than 95% of information of all pyrolysis combination parameters;

fusing and dimensionality reduction are carried out on all pyrolysis combination parameters by using a principal component analysis method, and obtaining principal components representing more than 95% of information of all pyrolysis combination parameters by adopting a conventional mode; for example, each pyrolysis combination parameter is normalized, a principal component transformation parameter matrix and a variance contribution matrix are obtained by applying a principal component analysis algorithm, the first n principal components with the accumulated variance contribution of more than 95% are selected from the variance matrix as target principal components, and the transformation parameters of the first n principal components are intercepted from the principal component transformation parameter matrix (transformation parameters of the principal components, namely a transformation method of original pyrolysis combination parameters to the target principal components); only the first n main components are reserved and the rest main components are discarded, so that fusion and dimension reduction of all pyrolysis combination parameters are realized.

Further, based on the source rock effectiveness evaluation parameters of each source rock sample and each principal component, constructing a calculation model of the source rock effectiveness evaluation parameters relative to the principal components, and fitting the calculation model by an optimal regression analysis method to obtain the source rock effectiveness evaluation parameters;

for example, the following equation determines the following equation:

in the formula, COPn 0The calculated value of the hydrocarbon source rock effectiveness evaluation parameter of the nth sample is dimensionless; COPnThe actual value of the hydrocarbon source rock effectiveness evaluation parameter of the nth sample is dimensionless; PCmnIs the m-th principal component of the n-th sample, dimensionless.

Referring to fig. 2, an embodiment of the present invention provides a method of determining an effective source rock, wherein the method includes:

step S21: obtaining a typical hydrocarbon source rock sample of a region;

step S22: determining the hydrocarbon discharge differential quantity of each typical source rock sample in the region based on the obtained typical source rock samples in the region, and further determining the hydrocarbon source rock effectiveness evaluation parameters of each typical source rock sample in the region;

step S23: determining pyrolysis parameters of each typical source rock sample in the region, and determining pyrolysis combination parameters of each typical source rock sample in the region based on each pyrolysis parameter of each typical source rock sample in the region; wherein the pyrolysis combination parameters are derived from each pyrolysis parameter, can reflect the hydrocarbon generation and/or residual hydrocarbon capacity of the hydrocarbon source rock, and are not linearly related to each other;

step S24: constructing mutually independent principal components by utilizing a principal component analysis method based on each pyrolysis combination parameter of each typical source rock sample in the region;

step S25: constructing a calculation model of the hydrocarbon source rock effectiveness evaluation parameters relative to the main components, namely a hydrocarbon source rock effectiveness evaluation model, based on the hydrocarbon source rock effectiveness evaluation parameters and the main components of each typical hydrocarbon source rock sample in the region;

step S26: acquiring pyrolysis combination parameters of target hydrocarbon source rocks;

step S27: and determining the hydrocarbon source rock effectiveness evaluation parameters of the target hydrocarbon source rock by using the hydrocarbon source rock effectiveness evaluation model based on the pyrolysis combination parameters of the target hydrocarbon source rock, and judging the effectiveness of the target hydrocarbon source rock by using the hydrocarbon source rock effectiveness evaluation parameters of the target hydrocarbon source rock.

Further, the pyrolysis parameters are carried out by using a pyrolysis instrument and selecting a conventional pyrolysis experimental method; the specific pyrolysis operation can be determined by selecting a pyrolysis instrument; in one embodiment, the pyrolysis parameters are obtained using a conventional rock pyrolysis test and a carbon sulfur analysis test.

Further, the pyrolysis parameter of the source rock sample includes an amount of dissolved hydrocarbons (S)1) Amount of cracking hydrocarbon (S)2) Maximum pyrolysis peak temperature (T)max) Total Organic Carbon (TOC) and vitrinite reflectance (R)o)。

The correlation between each pyrolysis combination parameter and the sample hydrocarbon discharge difference (CL) can be respectively checked, and the correlation indicates that the parameter can reflect the hydrocarbon generation and residual hydrocarbon capability of the hydrocarbon source rock to a certain extent; further, the pyrolysis combination parameters include: amount of dissolved hydrocarbons (S)1) Amount of cracking hydrocarbon (S)2) Organic carbon content (TOC), maximum pyrolysis peak temperature (T)max) Reflectance (R) of vitriniteo) The ratio of the amount of dissolved hydrocarbons to the amount of cracked hydrocarbons (S)1/S2) The ratio of the amount of cracked hydrocarbons to the amount of dissolved hydrocarbons (S)2/S1) The ratio of the amount of dissolved hydrocarbons to the hydrocarbon-generating potential (S)1/(S1+S2) The amount of dissolved hydrocarbons to the total amount of organic carbon (S)1TOC), the ratio of the amount of cracked hydrocarbons to the total amount of organic carbon (S)2TOC and Hydrocarbon potential index (S)1+S2) /TOC).

Further, determining hydrocarbon discharge differential quantity of each hydrocarbon source rock sample based on the obtained typical hydrocarbon source rock sample of the region based on a hydrocarbon discharge threshold theory; for example, the hydrocarbon expulsion threshold residual hydrocarbon amount and the actual residual hydrocarbon amount of a unit volume of target hydrocarbon source rock are obtained by using the hydrocarbon expulsion threshold theory; and then, calculating a hydrocarbon expulsion difference amount, namely the difference value between the actual residual hydrocarbon amount of the source rock and the hydrocarbon expulsion threshold residual hydrocarbon amount, and using the hydrocarbon expulsion difference amount to represent the hydrocarbon expulsion degree of the source rock.

Further, the hydrocarbon source rock effectiveness evaluation parameter is a hydrocarbon discharge difference or a normalized hydrocarbon discharge difference;

further, determining a source rock effectiveness evaluation parameter for each source rock sample by the following formula:

in the formula, COP is hydrocarbon source rock effectiveness evaluation parameter and is dimensionless; CL is hydrocarbon discharging difference of hydrocarbon source rock sample, Kg/m3;CLMaxIs the maximum value of the difference of the discharged hydrocarbons in the hydrocarbon source rock sample and has the unit of Kg/m3;CLMinIs the minimum value of the difference of the discharged hydrocarbons in the hydrocarbon source rock sample, Kg/m3

Further, the principal component analysis method is utilized to construct mutually independent principal component fingers: performing fusion and dimensionality reduction on all pyrolysis combination parameters by utilizing principal component analysis to obtain principal components representing more than 95% of information of all pyrolysis combination parameters;

still further, the amount of principal component is less than the amount of pyrolysis combination parameter; in one embodiment, the amount of principal component is significantly less than the amount of pyrolysis combination parameter, e.g., the amount of principal component does not exceed half the amount of pyrolysis combination parameter;

for example, the principal component analysis is used for fusing and dimensionality reduction on 11 pyrolysis combination parameters to obtain 5 principal components representing more than 95% of information of all pyrolysis combination parameters;

fusing and dimensionality reduction are carried out on all pyrolysis combination parameters by using a principal component analysis method, and obtaining principal components representing more than 95% of information of all pyrolysis combination parameters by adopting a conventional mode; for example, each pyrolysis combination parameter is normalized, a principal component transformation parameter matrix and a variance contribution matrix are obtained by applying a principal component analysis algorithm, the first n principal components with the accumulated variance contribution of more than 95% are selected from the variance matrix as target principal components, and the transformation parameters of the first n principal components are intercepted from the principal component transformation parameter matrix (transformation parameters of the principal components, namely a transformation method of original pyrolysis combination parameters to the target principal components); only the first n main components are reserved and the rest main components are discarded, so that fusion and dimension reduction of all pyrolysis combination parameters are realized.

Further, based on the source rock effectiveness evaluation parameters of each source rock sample and each principal component, constructing a calculation model of the source rock effectiveness evaluation parameters relative to the principal components, and fitting the calculation model by an optimal regression analysis method to obtain the source rock effectiveness evaluation parameters;

for example, the following equation determines the following equation:

in the formula, COPn 0The calculated value of the hydrocarbon source rock effectiveness evaluation parameter of the nth sample is dimensionless; COPnThe actual value of the hydrocarbon source rock effectiveness evaluation parameter of the nth sample is dimensionless; PCmnIs the m-th principal component of the n-th sample, dimensionless.

Further, the hydrocarbon source rock effectiveness evaluation model obtained by construction is as follows:

COP0=a0+a1·PC1+a2·PC2+…+anPCn, wherein,

PCk=bk1·I1+bk2·I2+……+bkm·Imwherein k is 1,2

In the formula, COP0The evaluation parameter is a hydrocarbon source rock effectiveness evaluation parameter without dimension; i isi(i 1, 2.. m) is a pyrolysis combination parameter; bki(i 1, 2.. m) is a coefficient; a isi(i 1, 2.. m) is a coefficient; PCk is a main component;

for example, the constructed hydrocarbon source rock effectiveness evaluation model is as follows:

COP0-0.124+0.111PC1+0.068PC2+0.034PC3-0.034PC4+0.003PC5, wherein,

in the formula, S1Mg/g for dissolved hydrocarbon amount; s2In terms of cracked hydrocarbon content, mg/g, TOC are organic carbon content, wt%, TmaxMaximum pyrolysis peak temperature, deg.C; roVitrinite reflectance,%; s1/S2Is the ratio of the amount of dissolved hydrocarbons to the amount of cracked hydrocarbons,%; s2/S1Is the ratio of the amount of cracked hydrocarbons to the amount of dissolved hydrocarbons,%; si/(S1+S2) Is the ratio of the amount of dissolved hydrocarbons to the hydrocarbon-generating potential,%; s1TOC is the ratio of the amount of dissolved hydrocarbons to the total amount of organic carbon, mg/g; s2TOC is the ratio of the amount of cracked hydrocarbons to the total amount of organic carbon, mg/g; (S)1+S2) TOC is the hydrocarbon potential index, mg/g.

Further, evaluating the effectiveness of the parameter on the target source rock using the source rock effectiveness of the target source rock comprises:

determining a hydrocarbon source rock effectiveness evaluation parameter threshold of an effective hydrocarbon source rock;

evaluating the effectiveness of the target hydrocarbon source rock by utilizing the hydrocarbon source rock effectiveness evaluation parameter threshold of the effective hydrocarbon source rock based on the hydrocarbon source rock effectiveness evaluation parameter of the target hydrocarbon source rock;

further, determining the hydrocarbon source rock validity evaluation parameter threshold value of the valid hydrocarbon source rock is achieved by: determining a hydrocarbon source rock effectiveness evaluation parameter boundary value of effective hydrocarbon source rocks and ineffective hydrocarbon source rocks by using a regional typical hydrocarbon source rock sample as a hydrocarbon source rock effectiveness evaluation parameter threshold value of the effective hydrocarbon source rocks;

for example, when the hydrocarbon source rock validity evaluation parameter is the hydrocarbon expulsion difference amount or the normalized hydrocarbon expulsion difference amount, 0 is used as the hydrocarbon source rock validity evaluation parameter threshold value of the valid hydrocarbon source rock in the process of judging the validity of the target hydrocarbon source rock by using the hydrocarbon source rock validity evaluation parameter of the target hydrocarbon source rock.

Example 1

The embodiment provides a method for determining effective hydrocarbon source rocks, which is used for evaluating the effectiveness of medium-upper Orotrysystem whole-region hydrocarbon source rocks which are bulged in the north of a Tarim basin tower;

the Tarim basin is a large-scale laminated composite basin consisting of an ancient boundary Claritong basin and a middle and new boundary foreland basins, and has the characteristics of multiple sets of hydrocarbon source rocks, multiple oil and gas systems, and multiple oil and gas sources, multiple periods and multiple types; the north of the tower is located at the north of the Tarim basin, and the total area is about 3.66 multiplied by 104km2(ii) a The northern area of the tower is the area with the most proven reserves and the highest oil-gas enrichment degree in the Tarim basin; the north tower has two main sets (TOC)>0.5%) marine source rock, including the hanwu system-down and the mid-up, have homology to typical oil and gas that are considered to be entirely from the mid-up, down aoto source rock.

The technical scheme provided by the invention is verified by taking the effectiveness judgment of the Shanghao ceramic hydrocarbon source rock in the North Tower area as an example. Reason for choosing this area: the method has the advantages that the distribution of the medium-upper-Ordovician hydrocarbon source rocks is limited, the quality is poor and the distribution of the large-scale existing marine phase oil gas is not enough to be explained, but the effective hydrocarbon source rocks exist in the stratum, and the effectiveness of the effective hydrocarbon source rocks is difficult to judge by a conventional TOC lower limit method; and secondly, the core sampling and pyrolysis test frequency of the Ordovician hydrocarbon source rock in the North Tower area is higher, the pyrolysis data quantity is large, and the method can be widely used.

As shown in fig. 4, the method includes:

step 1: obtaining typical source rock samples of a region, and determining the hydrocarbon expulsion differential quantity (CL) of each typical source rock sample of the region by utilizing a hydrocarbon expulsion threshold theory; then, on the basis, solving hydrocarbon source rock effectiveness evaluation parameters (COP) of each hydrocarbon source rock sample;

determining a source rock availability evaluation parameter for each source rock sample by the following formula:

in the formula, COP is hydrocarbon source rock effectiveness evaluation parameter and is dimensionless; CL is hydrocarbon discharging difference of hydrocarbon source rock sample, Kg/m3;CLMaxIs the maximum value of the difference of the discharged hydrocarbons in the hydrocarbon source rock sample and has the unit of Kg/m3;CLMinIs the minimum value of the difference of the discharged hydrocarbons in the hydrocarbon source rock sample, Kg/m3

Step 2: determining pyrolysis parameters of each typical source rock sample in the region, determining pyrolysis combination parameters of each typical source rock sample in the region based on each pyrolysis parameter of each typical source rock sample in the region, and establishing a pyrolysis combination parameter database; wherein the pyrolysis combination parameters are derived from each pyrolysis parameter, can reflect the hydrocarbon generation and/or residual hydrocarbon capacity of the hydrocarbon source rock, and are not linearly related to each other;

pyrolysis parameters of a source rock sample include an amount of dissolved hydrocarbons (S)1) Amount of cracking hydrocarbon (S)2) Maximum pyrolysis peak temperature (T)max) Total Organic Carbon (TOC) and vitrinite reflectance (R)o) (ii) a Wherein the amount of dissolved hydrocarbons (S) in each source rock sample is determined by a pyrolysis experiment1) Amount of cracking hydrocarbon (S)2) And maximum pyrolysis peak temperature (T)max) (ii) a Measuring the Total Organic Carbon (TOC) of the sample by a carbon-sulfur analysis experiment;

the pyrolysis combination parameter database of the Tarim basin area is established by combining the actual exploration condition of the Tarim basin area, and the pyrolysis combination parameters of the database comprise: amount of dissolved hydrocarbons (S)1) Amount of cracking hydrocarbon (S)2) Organic carbon content (TOC), maximum pyrolysis peak temperature (T)max) Reflectance (R) of vitriniteo) The ratio of the amount of dissolved hydrocarbons to the amount of cracked hydrocarbons (S)1/S2) The ratio of the amount of cracked hydrocarbons to the amount of dissolved hydrocarbons (S)2/S1) The ratio of the amount of dissolved hydrocarbons to the hydrocarbon-generating potential (S)1/(S1+S2) The amount of dissolved hydrocarbons to the total amount of organic carbon (S)1TOC), the ratio of the amount of cracked hydrocarbons to the total amount of organic carbon (S)2TOC and Hydrocarbon potential index (S)1+S2) TOC); and for each in the databaseRegression testing of the correlation between pyrolysis combination parameters and the amount of hydrocarbon rejection difference (CL) was performed, as shown in fig. 5; as can be seen from fig. 5, each of the combined pyrolysis parameters in the database has a good correlation with the residual hydrocarbon discharge amount (CL), which indicates that they can effectively reflect the hydrocarbon generation and residual hydrocarbon capacities of the source rock.

And step 3: performing principal component analysis processing on each pyrolysis combination parameter in the pyrolysis combination parameter database to realize the fusion and dimension reduction, and constructing a principal component capable of representing 95% of information in the whole pyrolysis combination parameter database;

the 11 pyrolysis combination parameters are fused and dimensionality reduced by using principal component analysis to obtain 5 principal components representing 96.15% of information of all pyrolysis attributes, and a transformation formula of the principal components is as follows:

in the formula, S1Mg/g for dissolved hydrocarbon amount; s2In terms of cracked hydrocarbon content, mg/g, TOC are organic carbon content, wt%, TmaxMaximum pyrolysis peak temperature, deg.C; roVitrinite reflectance,%; s1/S2Is the ratio of the amount of dissolved hydrocarbons to the amount of cracked hydrocarbons,%; s2/S1Is the ratio of the amount of cracked hydrocarbons to the amount of dissolved hydrocarbons,%; s1/(S1+S2) Is the ratio of the amount of dissolved hydrocarbons to the hydrocarbon-generating potential,%; s1TOC is the ratio of the amount of dissolved hydrocarbons to the total amount of organic carbon, mg/g; s2TOC is the ratio of the amount of cracked hydrocarbons to the total amount of organic carbon, mg/g; (S)1+S2) TOC is the hydrocarbon potential index, mg/g.

And 4, step 4: based on the source rock effectiveness evaluation parameters and the main components of each typical source rock sample in the region, fitting by an optimal regression analysis method to obtain a calculation model of the source rock effectiveness evaluation parameters about the main components, namely a source rock effectiveness evaluation model;

wherein the method of optimal regression analysis is fitted radially through the following formula:

in the formula, COPn 0The calculated value of the hydrocarbon source rock effectiveness evaluation parameter of the nth sample is dimensionless; COPnThe actual value of the hydrocarbon source rock effectiveness evaluation parameter of the nth sample is dimensionless; PCki(wherein, K is 1,2,3 … … n, i is 1,2,3,4,5) is the ith main component of the kth sample and is dimensionless;

the optimal regression analysis method calculates the optimal equation of the regression equation of the hydrocarbon source rock effectiveness evaluation parameters (COP) about the 5 main components, namely the hydrocarbon source rock effectiveness evaluation model, and comprises the following steps:

COP0=-0.124+0.111Pn+0.068PC2+0.03APC3-0.034PC4+0.003PC5

in the formula, COP0The evaluation parameter is a hydrocarbon source rock effectiveness evaluation parameter without dimension; PCk (where K ═ 1,2,3,4,5) is the kth principal component, and is dimensionless.

And 5: acquiring pyrolysis combination parameters of source rocks in a medium-upper Orotu whole region of the north uplift of a Tarim basin tower, determining the hydrocarbon source rock effectiveness evaluation parameters (the result is shown in figure 6) of the target source rocks by using the determined hydrocarbon source rock effectiveness evaluation model based on the pyrolysis combination parameters of the target source rocks, and judging the effectiveness of the target source rocks by using the hydrocarbon source rock effectiveness evaluation parameters of the target source rocks;

determining a hydrocarbon source rock effectiveness evaluation parameter threshold value 0 of an effective hydrocarbon source rock;

evaluating the effectiveness of the target hydrocarbon source rock by utilizing the hydrocarbon source rock effectiveness evaluation parameter threshold of the effective hydrocarbon source rock based on the hydrocarbon source rock effectiveness evaluation parameter of the target hydrocarbon source rock:

when the hydrocarbon source rock effectiveness evaluation parameter is more than or equal to 0, judging the hydrocarbon source rock to be effective;

and when the evaluation parameter of the validity of the source rock is less than 0, judging the source rock to be invalid.

Calculation value (COP) of hydrocarbon source rock effectiveness evaluation parameter of hydrocarbon source rock sample of China-Shang Orotu system whole region in north uplift of Tarim basin tower0) A regression analysis chart with actual value of the hydrocarbon source rock effectiveness evaluation parameter (COP), as shown in fig. 6; as can be seen from FIG. 6, the hydrocarbon source rock availability evaluation parameter (COP) determined using the hydrocarbon source rock availability evaluation model0) The method has good correlation with hydrocarbon source rock effectiveness evaluation parameters (COP) determined based on hydrocarbon expulsion threshold theoretical threshold, and the accuracy rate of distinguishing the hydrocarbon source rock effectiveness is up to 86.7 percent, so that the method provided by the invention can quickly distinguish the effectiveness of the hydrocarbon source rock under the condition of ensuring the accuracy rate.

18页详细技术资料下载
上一篇:一种医用注射器针头装配设备
下一篇:基于混合机器学习模型的同时检测水中硝酸盐和亚硝酸盐含量的方法

网友询问留言

已有0条留言

还没有人留言评论。精彩留言会获得点赞!

精彩留言,会给你点赞!