阅读说明：本技术 基于微破裂波检测的煤岩随钻自识别方法 (Coal rock while-drilling self-identification method based on micro-fracture wave detection ) 是由 吕贵春 胡杰 赵旭生 文光才 张睿 韩恩光 张宪尚 李建功 于 2020-07-09 设计创作，主要内容包括：本发明公开了一种基于微破裂波检测的煤岩随钻自识别方法,该方法包括以下步骤：S1：将自识别模块内嵌在钻头与钻杆之间,记录钻进点的初始介质属性IM；S2：在开始钻进时启动自识别模块,并跟随钻进过程利用自识别模块连续采集钻进初始段的初始微破裂波信号；S3：提取所述初始微破裂波信号的特征参数,然后根据初始介质属性以及提取到的初始的特征参数构建煤岩体自识别判识模型；S5：跟随钻进过程持续采集实时微破裂波信号,提取实时微破裂波信号的特征参数,再根据提取到的实时的特征参数以及煤岩体自识别判识模型判断钻进过程所处的实时探测介质属性DM是否发生变化；S6：根据介质变化情况确定当前钻进介质类型。(The invention discloses a coal rock while-drilling self-identification method based on micro-fracture wave detection, which comprises the following steps of: s1: embedding the self-identification module between a drill bit and a drill rod, and recording the initial medium attribute IM of a drilling point; s2: starting a self-recognition module when the drilling is started, and continuously acquiring an initial micro-fracture wave signal of an initial drilling section by utilizing the self-recognition module along with the drilling process; s3: extracting characteristic parameters of the initial micro-fracture wave signal, and then constructing a coal rock mass self-identification recognition model according to the initial medium attribute and the extracted initial characteristic parameters; s5: continuously acquiring real-time micro-fracture wave signals along with the drilling process, extracting characteristic parameters of the real-time micro-fracture wave signals, and judging whether the real-time detection medium attribute DM in the drilling process changes or not according to the extracted real-time characteristic parameters and the coal rock mass self-identification model; s6: and determining the type of the current drilling medium according to the medium change condition.)

1. A coal rock while-drilling self-identification method based on micro-fracture wave detection is characterized by comprising the following steps:

s1: embedding the self-identification module between a drill bit and a drill rod, and recording the initial medium attribute IM of a drilling point;

s2: starting a self-recognition module when the drilling is started, and continuously acquiring an initial micro-fracture wave signal of an initial drilling section by utilizing the self-recognition module along with the drilling process;

s3: extracting characteristic parameters of the initial micro-fracture wave signal, and then constructing a coal rock mass self-identification recognition model according to the initial medium attribute and the extracted initial characteristic parameters;

s5: continuously acquiring real-time micro-fracture wave signals along with the drilling process, extracting characteristic parameters of the real-time micro-fracture wave signals, and judging whether the real-time detection medium attribute DM in the drilling process changes or not according to the extracted real-time characteristic parameters and the coal rock mass self-identification model;

s6: and determining the type of the current drilling medium according to the medium change condition.

2. The coal rock while drilling self-identification method based on the microwave fracturing wave detection is characterized in that the characteristic parameter extraction of the initial microwave fracturing wave signal comprises microwave fracturing wave main frequency and microwave fracturing wave energy extraction; the coal rock mass self-identification model comprises the following steps:

wherein Model-IM is an initial medium Model of a drilling site, F_IMFor a dominant frequency distribution range of a characteristic parameter in the initial medium, E_IMFor the range of the characteristic parameter energy distribution in the initial medium, Min_F,Max_FRespectively the minimum and maximum values of the main frequency, Min_E,Max_EEnergy minimum and maximum, respectively.

3. The coal rock self-identification while drilling method based on the micro-fracture wave detection is characterized by comprising the following steps of:

s4: verifying whether the coal rock mass self-identification model is qualified, if so, executing the step S5; if not, continuing to acquire the micro-fracture wave signals in the drilling process, and correcting the identification model until the coal rock mass self-identification model is qualified.

4. The coal rock self-identification while drilling method based on the micro-fracture wave detection as claimed in claim 3, wherein the method for verifying whether the coal rock self-identification judgment model is qualified or not is as follows:

and comparing the acquired characteristic parameters of the initial micro-fracture wave signal with the standard characteristic parameters corresponding to the initial medium, and if the value range of the characteristic parameters of the initial micro-fracture wave signal is within the value range of the standard characteristic parameters, indicating that the coal rock mass self-identification model is qualified.

5. The coal rock while drilling self-identification method based on micro-fracture wave detection as claimed in claim 1, wherein the step S5 specifically comprises:

s51: continuously collecting real-time micro-fracture wave signals along with the drilling process, and extracting the actual measurement main frequency F of the real-time micro-fracture wave signals_{Measured in fact}And measured energy E_{Measured in fact}；

S52: judging actual measurement dominant frequency F_{Measured in fact}And measured energy E_{Measured in fact}Whether the following relation is satisfied:

if yes, judging that the real-time detection medium attribute DM in the drilling process is changed; otherwise, judging that the real-time detection medium attribute DM in the drilling process is not changed.

6. The coal rock while drilling self-identification method based on the micro-fracture wave detection is characterized in that the self-identification module comprises a control unit, and a micro-fracture wave acquisition unit and a communication unit which are connected with the control unit; the control unit receives a data acquisition instruction sent by the upper computer through the communication unit, and uploads data acquired by the micro-fracture wave acquisition unit through the communication unit.

7. The coal-rock self-identification while drilling method based on micro-fracture wave detection as claimed in claim 6, wherein the communication unit is a wireless communication unit.

8. The coal-rock while-drilling self-identification method based on the micro-fracture wave detection is characterized in that the self-identification module is powered by a battery.

9. The coal rock while drilling self-identification method based on micro-fracture wave detection as claimed in claim 1, wherein the self-identification module is embedded in a groove on the outer wall of a connecting mechanism, and the connecting mechanism is connected between a drill bit and a drill rod.

10. The method for self-identifying coal rock while drilling based on micro-fracture wave detection as claimed in claim 1, wherein the self-identifying module is wrapped with an anti-wear material.

Technical Field

The invention relates to a coal rock while-drilling self-identification method based on micro-fracture wave detection.

Background

The coal seam gas extraction problem always puzzles the safe and efficient production of coal mine enterprises, and particularly after a mine enters deep mining, the ground stress is increased, the coal seam gas content is increased, the gas permeability is reduced, the gas extraction cost is increased, and the effect of pre-extracting coal seam gas is difficult to guarantee. The effective control of the construction quality and the drilling process of the coal seam extraction drill hole is the basis and the key of the high-efficiency gas extraction. In the current drilling construction process, effective identification and correction while drilling can not be carried out on the drilling process, particularly the construction along long coal seam drilling (including directional drilling) and the construction of large-area cross-layer pre-extraction drilling with multiple coal seam groups in a bottom plate roadway, so that the drilling construction engineering quantity can be increased and the gas extraction effect can not be achieved. With the new information and intelligent development direction of the coal mine industry, the coal rock mass while-drilling self-identification method in the drilling process is urgently needed, intelligent drilling and information management can be realized, and the method is also a necessary condition for intelligent mine construction.

Disclosure of Invention

The invention aims to provide a coal rock while-drilling self-identification method based on micro-fracture wave detection, so as to solve the problem that the drilling process cannot be effectively identified at present.

In order to solve the technical problem, the invention provides a coal rock while-drilling self-identification method based on micro-fracture wave detection, which comprises the following steps:

s1: embedding the self-identification module between a drill bit and a drill rod, and recording the initial medium attribute IM of a drilling point;

s2: starting a self-recognition module when the drilling is started, and continuously acquiring an initial micro-fracture wave signal of an initial drilling section by utilizing the self-recognition module along with the drilling process;

s3: extracting characteristic parameters of the initial micro-fracture wave signal, and then constructing a coal rock mass self-identification recognition model according to the initial medium attribute and the extracted initial characteristic parameters;

s5: continuously acquiring real-time micro-fracture wave signals along with the drilling process, extracting characteristic parameters of the real-time micro-fracture wave signals, and judging whether the real-time detection medium attribute DM in the drilling process changes or not according to the extracted real-time characteristic parameters and the coal rock mass self-identification model;

s6: and determining the current drilling type according to the medium change condition.

Further, the characteristic parameter extraction of the initial micro-fracture wave signal comprises micro-fracture wave main frequency and micro-fracture wave energy extraction; the coal rock mass self-identification model comprises the following steps:

wherein Model-IM is an initial medium Model of a drilling site, F_IMFor a dominant frequency distribution range of a characteristic parameter in the initial medium, E_IMFor the range of the characteristic parameter energy distribution in the initial medium, Min_F,Max_FRespectively the minimum and maximum values of the main frequency, Min_E,Max_EEnergy minimum and maximum, respectively.

Further, the method comprises the steps of:

s4: verifying whether the coal rock mass self-identification model is qualified, if so, executing the step S5; if not, continuing to acquire the micro-fracture wave signals in the drilling process, and correcting the identification model until the coal rock mass self-identification model is qualified.

Further, the method for verifying whether the coal rock mass self-identification model is qualified or not comprises the following steps:

and comparing the acquired characteristic parameters of the initial micro-fracture wave signal with the standard characteristic parameters corresponding to the initial medium, and if the value range of the characteristic parameters of the initial micro-fracture wave signal is within the value range of the standard characteristic parameters, indicating that the coal rock mass self-identification model is qualified.

Further, the step S5 specifically includes:

s51: continuously collecting real-time micro-fracture wave signals along with the drilling process, and extracting the actual measurement main frequency F of the real-time micro-fracture wave signals_{Measured in fact}And measured energy E_{Measured in fact}；

S52: judging actual measurement dominant frequency F_{Measured in fact}And measured energy E_{Measured in fact}Whether the following relation is satisfied:

if yes, judging that the real-time detection medium attribute DM in the drilling process is changed; otherwise, judging that the real-time detection medium attribute DM in the drilling process is not changed.

Further, the self-identification module comprises a control unit, and a micro-fracture wave acquisition unit and a communication unit which are connected with the control unit; the control unit receives a data acquisition instruction sent by the upper computer through the communication unit, and uploads data acquired by the micro-fracture wave acquisition unit through the communication unit.

Further, the communication unit is a wireless communication unit.

Further, the self-identification module is powered by a battery.

Further, the self-recognition module is embedded in a groove in the outer wall of the connecting mechanism, and the connecting mechanism is connected between the drill bit and the drill rod.

Further, the outer surface of the self-identification module is wrapped with an abrasion-resistant material.

The invention has the beneficial effects that: by detecting the drilling process in real time, the current drilling process is identified to which type of drilling in a full coal seam, drilling in a full rock stratum, drilling from the coal seam to the rock stratum and drilling from the rock stratum to the coal seam, so that the drilling parameters can be adjusted in time to realize accurate drilling, the drilling process is accurate and controllable, the drilling construction is guaranteed to be in place, and the gas extraction efficiency is improved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:

FIG. 1 is a flow chart of one embodiment of the present invention;

fig. 2 is a schematic diagram of self-identification module installation according to an embodiment of the present invention.

Wherein: 1. a drill bit; 2. a connecting mechanism; 3. a self-identification module; 4. and (5) drilling a rod.

Detailed Description

The coal rock while-drilling self-identification method based on the micro-fracture wave detection as shown in FIG. 1 comprises the following steps:

s1: embedding the self-identification module 3 between the drill bit 1 and the drill rod 4, and recording the initial medium attribute IM of a drilling point;

s2: starting the self-recognition module 3 when the drilling is started, and continuously acquiring an initial micro-fracture wave signal of a drilling initial section by utilizing the self-recognition module 3 along with the drilling process;

s3: extracting characteristic parameters of the initial micro-fracture wave signal, and then constructing a coal rock mass self-identification recognition model according to the initial medium attribute and the extracted initial characteristic parameters;

s4: verifying whether the coal rock mass self-identification model is qualified, if so, executing the step S5; if not, continuing to acquire the micro-fracture wave signals in the drilling process, and correcting the identification model until the coal rock mass self-identification model is qualified.

S5: continuously acquiring real-time micro-fracture wave signals along with the drilling process, extracting characteristic parameters of the real-time micro-fracture wave signals, and judging whether the real-time detection medium attribute DM in the drilling process changes or not according to the extracted real-time characteristic parameters and the coal rock mass self-identification model;

s6: and determining the current drilling type according to the medium change condition, and determining which type of drilling process belongs to the whole coal seam drilling, the whole rock stratum drilling, the coal seam drilling to the rock stratum drilling and the rock stratum drilling to the coal seam drilling so as to adjust the drilling parameters in time to realize accurate drilling.

According to the method, the drilling process is detected in real time, and the current drilling process belongs to which type of drilling in a whole coal seam, drilling in a whole rock stratum, drilling from the coal seam to the rock stratum and drilling from the rock stratum to the coal seam, so that the drilling parameters can be adjusted in time to realize accurate drilling, the drilling process is accurate and controllable, the drilling construction is guaranteed to be in place, and the gas extraction efficiency is improved.

Extracting characteristic parameters of the initial micro-fracture wave signal, including dominant frequency of the micro-fracture wave and energy extraction of the micro-fracture wave; the coal rock mass self-identification model comprises the following steps:

wherein Model-IM is an initial medium Model of a drilling site, F_IMFor a dominant frequency distribution range of a characteristic parameter in the initial medium, E_IMFor the range of the characteristic parameter energy distribution in the initial medium, Min_F,Max_FRespectively the minimum and maximum values of the main frequency, Min_E,Max_EEnergy minimum and maximum, respectively.

The method for verifying whether the coal rock mass self-identification model is qualified comprises the following steps:

and comparing the acquired characteristic parameters of the initial micro-fracture wave signal with the standard characteristic parameters corresponding to the initial medium, and if the value range of the characteristic parameters of the initial micro-fracture wave signal is within the value range of the standard characteristic parameters, indicating that the coal rock mass self-identification model is qualified. Generally, if the drilling length is within the range of 1-3 m, the properties of the drilling medium are changed, and the coal rock identification can be carried out manually through the deslagging category. According to the method and the device, the verification mechanism is arranged after the coal rock mass self-identification recognition model is constructed, and the identification accuracy can be improved.

The step S5 specifically includes:

s51: continuously collecting real-time micro-fracture wave signals along with the drilling process, and extracting the actual measurement main frequency F of the real-time micro-fracture wave signals_{Measured in fact}And measured energy E_{Measured in fact}；

S52: judging actual measurement dominant frequency F_{Measured in fact}And measured energy E_{Measured in fact}Whether the following relation is satisfied:

if yes, judging that the real-time detection medium attribute DM in the drilling process is changed; otherwise, judging that the real-time detection medium attribute DM in the drilling process is not changed.

The self-recognition module 3 comprises a control unit, a micro-fracture wave acquisition unit and a communication unit, wherein the micro-fracture wave acquisition unit and the communication unit are connected with the control unit; the control unit receives a data acquisition instruction sent by the upper computer through the communication unit, and uploads data acquired by the micro-fracture wave acquisition unit through the communication unit. The communication unit can adopt a wireless communication unit, and the design can be simplified by adopting the wireless communication unit for communication, so that data acquisition and instruction transmission are facilitated. The self-recognition module 3 is powered by an internal battery, and specifically can be powered by a battery pack or a rechargeable lithium battery.

The self-recognition module 3 is embedded in a groove in the outer wall of the connecting mechanism 2, and the connecting mechanism 2 is connected between the drill bit 1 and the drill rod 4. The outer surface of the self-recognition module 3 is also wrapped with an anti-wear material, and the self-recognition module 3 can be protected by the anti-wear material to avoid being damaged in the drilling process.

Finally, the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all of them should be covered in the claims of the present invention.