Shale gas well separate layer strengthening parameter drilling method and drilling device

Abstract

The present application relates to a kind of shale gas well layering reinforcement parameter drilling method and device, its method includes: real-time detection acquisition is carried out to well bottom drilling parameter in the operation of drilling tool;The stratum parameter and well bottom drilling parameter of acquisition are pretreated;Determine the best drilling equipment setting parameter;Using parameter adjustment module, according to the best drilling equipment setting parameter determined and the setting parameter of current drilling equipment, if inconsistent, then the current setting parameter is synchronized as the best drilling equipment setting parameter;Remote monitoring module uses communication module and central control module to carry out information interaction, and remotely monitors overall drilling equipment.The present application can collect comprehensive real data, provide reliable data reference for adjusting the reinforcement parameter of drilling device, and improve accuracy;It improves the working efficiency and safety of overall drilling equipment;So as to realize the guidance of surface equipment parameter setting.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of unconventional oil and gas drilling technology in petroleum engineering, more particularly to a shale gas well layered strengthening parameter drilling method and drilling device. BACKGROUND

[0002] At present, shale gas refers to unconventional natural gas attached to the reservoir rock system mainly with organic matter shale, which is continuously generated biochemical and thermogenic gas or mixture of the two, can exist in natural fractures and pores in free state, exist in the surface of casein and clay particles in adsorbed state, and a small amount of dissolved state in casein and asphaltene, the proportion of free gas is generally 20% to 85%. The formation and enrichment of shale gas have their own unique characteristics, and are often distributed in the thick and wide shale hydrocarbon source rock strata in the basin. Compared with conventional natural gas, shale gas is difficult to exploit, has long development cycle, rapid production decline and difficult to maintain stable production. In the domestic Sichuan-Chongqing area, marine shale gas is mainly used, and the formation layer system is complex and diverse, with a burial depth of 2500-4500m. In order to realize speed and efficiency, the mechanical drilling speed must be improved and the drilling cycle must be shortened. However, the existing drilling equipment cannot collect comprehensive and real data and output the best working state in the drilling process, thereby reducing the work efficiency and safety.

[0003] Through the above analysis, the problems and defects are that the existing drilling equipment cannot collect comprehensive and real data and output the best working state in the drilling process, thereby reducing the work efficiency and safety. SUMMARY

[0004] The technical problem to be solved by the present application is to provide a shale gas well layered strengthening parameter drilling method and drilling device, which can accurately adjust the strengthening parameters of the drilling device and improve the work efficiency and safety.

[0005] The technical solution adopted by the present application to solve the technical problem is: a shale gas well layered strengthening parameter drilling method is constructed, comprising the following steps:

[0006] Step one, using the formation parameter acquisition module to collect and acquire the density, permeability, porosity and hardness information of the rock in the corresponding position of the formation pre-stored in the cloud server, using the tool sub installed at the lower end of the drilling tool in the bottom hole drilling parameter acquisition module to detect and collect the bottom hole drilling parameters in the running process of the drilling tool;

[0007] Step two, using the data preprocessing module to preprocess the formation parameters and bottom hole drilling parameters collected by the formation parameter acquisition module and the bottom hole drilling parameter acquisition module;

[0008] Step three, using the drilling comprehensive analysis module to perform risk assessment on the drilling equipment operation state according to the pretreated formation parameters and the bottom hole drilling parameters, and determine the best drilling equipment setting parameters;

[0009] Step four, using the parameter adjustment module to compare the determined best drilling equipment setting parameters with the current setting parameters of the drilling equipment, if inconsistent, then synchronize the current setting parameters to the best drilling equipment setting parameters;

[0010] Step five, the remote monitoring module uses the communication module to interact with the central control module to perform remote monitoring on the overall drilling equipment.

[0011] According to the above scheme, the data preprocessing method adopted by the data preprocessing module in step two includes:

[0012] (1) Establish corresponding data sets for the collected formation parameters and bottom hole drilling parameters;

[0013] (2) Perform denoising enhancement on the collected formation parameters and bottom hole drilling parameters respectively through the denoising enhancement program;

[0014] (3) After denoising enhancement, extract the features in each data set, classify each feature, and explain each feature to obtain a unified fusion attribute description.

[0015] According to the above scheme, the specific process of step (2) for performing denoising enhancement on the collected formation parameters and bottom hole drilling parameters respectively through the denoising enhancement program is:

[0016] According to the collected formation parameters and bottom hole drilling parameters, classify and establish different types of classified data sets;

[0017] Perform denoising enhancement on each different type of classified data set through principal component analysis and bilateral filtering;

[0018] Select the PCA training sample set and apply principal component analysis to filter out most of the Gaussian noise;

[0019] Estimate the data residual noise variance of the coefficient shrinkage reconstruction, and after estimation, input it into the adaptive bilateral filter to obtain the denoising enhanced data set.

[0020] According to the above scheme, the specific process of step three for risk assessment on the drilling equipment operation state is:

[0021] According to the collected formation parameters and bottom hole drilling parameters, establish a three-dimensional simulation motion model of rock structure in the formation;

[0022] Meanwhile, the safe drilling pressure calculation model and the rock damage boundary calculation model are selected to determine the safe drilling pressure range and the rock damage boundary;

[0023] The safe drilling pressure range and the rock damage boundary are input into the risk coefficient model to calculate the risk coefficient, and the drilling safety risk is evaluated according to the obtained risk coefficient;

[0024] According to the risk evaluation result, the drilling equipment operation parameters are optimized and adjusted.

[0025] According to the above scheme, in the establishment of the three-dimensional simulation action model of the rock structure in the stratum, the rock structure in the stratum is divided into three comprehensive evaluation levels of type I, type II and type III according to the collected stratum parameter data, drilling equipment state data and drilling process data:

[0026] Q=P1*P2*P3

[0027] In the formula, Q is the evaluation score of each comprehensive evaluation level, P1 is the percentage of the value of each parameter data, unit %, P2 is the value of each parameter data corresponding to the level, and P3 is the proportion of each parameter data.

[0028] According to the above scheme, the specific steps of determining the best drilling equipment setting parameter in step three include:

[0029] (1) determining the parameter range and the sample number in the drilling equipment operation process, the parameter range being the selected range boundary value of the drilling equipment control parameter, and the sample number being the total number of samples generated in the parameter optimization process;

[0030] (2) inputting each control parameter range of the drilling equipment into the servo control parameter generator, and the servo control parameter generator generating a corresponding servo system control parameter value sample set according to the input servo system control parameter range;

[0031] (3) updating the corresponding servo control parameter according to the sample set value of each control parameter generated by the servo control parameter generator in turn, and selecting the best sample combination of the servo system control parameter according to the fitness function value combination;

[0032] (4) the control parameter optimizer selects, copies, crosses and mutates the sample combination to generate a new control parameter sample set, and gives the control parameter value corresponding to the best control parameter sample combination when the optimization end condition is met.

[0033] According to the above scheme, the specific steps of synchronizing the current setting parameter to the best drilling equipment setting parameter in step four include:

[0034] According to the sensor signal, the drilling tool rotating speed is calculated in real time, the deviation and the deviation change rate of the controller output value and the setting parameter are determined, and the drilling equipment setting parameter is updated.

[0035] According to the size of the deviation and the deviation rate, the performance of the controller is tested, and the control on the output quantity is determined;

[0036] The membership functions of the deviation, the deviation rate and the output quantity are determined, the reference value of the fuzzy controller of the drilling tool rotating speed is determined, and the output quantity is calculated, and the parameters of the drilling equipment of the regulator are controlled according to the size of the adjustment amount of the output quantity.

[0037] The application also provides a shale gas well layered strengthening parameter drilling device.

[0038] The formation parameter acquisition module is used for collecting and acquiring the density, permeability, porosity and hardness information of the rock in the formation corresponding to the position pre-stored in the cloud server.

[0039] The bottom hole drilling parameter acquisition module is used for collecting and acquiring the bottom hole drilling parameters in the operation process of the drilling tool by using the tool sub installed at the lower end of the drilling tool, and the bottom hole drilling parameters include the drill bit rotating speed, the drilling pressure, the drill bit temperature, the drill bit torque, the bottom hole pump pressure and the bottom hole flow rate.

[0040] The data preprocessing module is connected with the formation parameter acquisition module and the bottom hole drilling parameter acquisition module, and is used for preprocessing the collected formation parameters and bottom hole drilling parameters.

[0041] The data preprocessing module is connected with the drilling comprehensive analysis module, and the drilling comprehensive analysis module is used for determining the optimal drilling equipment setting parameter according to the preprocessed formation parameters and bottom hole drilling parameters.

[0042] The parameter adjustment module is used for comparing the optimal drilling equipment setting parameter with the current setting parameter of the drilling equipment, and if the two parameters are inconsistent, the current setting parameter is synchronized to the optimal drilling equipment setting parameter.

[0043] The central control module is connected with the formation parameter acquisition module, the bottom hole drilling parameter acquisition module, the data preprocessing module, the drilling comprehensive analysis module, the parameter adjustment module, the communication module and the remote monitoring module through the controller, and is used for coordinating the normal operation of the modules.

[0044] The communication module is provided with a communication device to connect the remote monitoring module and the central control module, and realize information interaction.

[0045] The remote monitoring module is provided with a remote monitoring terminal device to remotely monitor the operation state of the overall drilling equipment.

[0046] According to the above scheme, the data preprocessing module is provided with a data preprocessing program to denoise and enhance the collected formation parameters and well bottom drilling parameters and to perform fusion processing.

[0047] According to the above scheme, the drilling comprehensive analysis module comprises:

[0048] A risk assessment unit is configured to perform risk assessment on the drilling equipment operation state according to the collected formation parameters and well bottom drilling parameters through a risk assessment program.

[0049] An optimal parameter output unit is configured to output the control parameters of the optimal drilling equipment operation state through a parameter output program.

[0050] The shale gas well layered enhanced parameter drilling method and the drilling device have the following beneficial effects:

[0051] 1. The formation parameter acquisition module and the well bottom drilling parameter acquisition module are configured to collect comprehensive and real data, which provides reliable data reference for adjusting the enhanced parameters of the drilling device and improves the accuracy. 2. The drilling comprehensive analysis module is configured to obtain optimal drilling equipment operation state parameter control, which improves the working efficiency and safety of the overall drilling equipment. 3. The risk assessment module is configured to perform risk assessment on the drilling equipment operation state according to the collected formation parameter data, drilling equipment state data and drilling process data through a risk assessment program, which ensures the safety during the drilling process. 4. The parameter adjustment module is configured to compare the determined optimal drilling equipment setting parameters with the current drilling equipment setting parameters, and if they are inconsistent, the current setting parameters are synchronized to the optimal drilling equipment setting parameters, thereby realizing the guidance of the ground equipment parameter setting and updating and adjusting the ground equipment setting parameters in real time according to the changes of the formation parameters and well bottom drilling parameters.

[0052] 2. The drilling device enhanced parameters can be accurately adjusted, and the working efficiency and safety are improved. BRIEF DESCRIPTION OF DRAWINGS

[0053] The present application will be further described below with reference to the accompanying drawings and examples, wherein:

[0054] Figure 1 is a flowchart of the layered enhanced parameter drilling method suitable for the Sichuan-Chongqing region provided by the embodiment of the present application;

[0055] Figure 2 is a flowchart of the data preprocessing method adopted by the data preprocessing module provided by the embodiment of the present application;

[0056] Figure 3is a method flowchart for risk assessment on the running state of drilling equipment provided by the embodiment of the present application;

[0057] Figure 4 is a method flowchart for determining the optimal drilling equipment setting parameter provided by the embodiment of the present application;

[0058] Figure 5 is a method flowchart for synchronizing the current setting parameter to the optimal drilling equipment setting parameter provided by the embodiment of the present application. DETAILED DESCRIPTION

[0059] In order to have a clearer understanding of the technical features, objectives and effects of the present application, the specific embodiments of the present application will be described in detail with reference to the drawings.

[0060] As shown in Figure 1 The drilling method for layered strengthening parameters suitable for Sichuan-Chongqing region provided by the embodiment of the present application comprises:

[0061] S101, the density, permeability, porosity and hardness information of the rock in the stratum corresponding to the position pre-stored in the cloud server are collected and acquired by using the stratum parameter acquisition module, and the downhole drilling parameters in the running process of the drilling tool are detected and collected in real time by using the tool sub installed at the lower end of the drilling tool in the downhole drilling parameter acquisition module;

[0062] S102, the stratum parameters and downhole drilling parameters collected by the stratum parameter acquisition module and the downhole drilling parameter acquisition module are pre-processed by using the data preprocessing module;

[0063] S103, the running state of the drilling equipment is risk assessed and the optimal drilling equipment setting parameter is determined according to the pre-processed stratum parameters and downhole drilling parameters by using the drilling comprehensive analysis module;

[0064] S104, the current setting parameter is synchronized to the optimal drilling equipment setting parameter by using the parameter adjustment module according to the comparison between the optimal drilling equipment setting parameter and the current setting parameter of the drilling equipment, if they are inconsistent;

[0065] S105, the remote monitoring module uses the communication module to interact with the central control module to remotely monitor the overall drilling equipment.

[0066] As shown in Figure 2 The data preprocessing method adopted by the data preprocessing module in step S102 in the embodiment of the present application comprises:

[0067] S201, the collected stratum parameters and downhole drilling parameters are established corresponding data sets;

[0068] S202, respectively, through the denoising enhancement program on the acquisition of formation parameters and bottom hole drilling parameters are denoised and enhanced;

[0069] S203, after denoising and enhancing, extracting features in each data set, and classifying each feature, explaining each feature, and obtaining a unified fusion attribute description.

[0070] The specific process of step S202 in the embodiment of the application is that the collected formation parameters and bottom hole drilling parameters are respectively denoised and enhanced through the denoising enhancement program.

[0071] According to the collected formation parameters and bottom hole drilling parameters, different types of classification data sets are established.

[0072] Each different type of classification data set is denoised and enhanced through principal component analysis and bilateral filtering.

[0073] The PCA training sample set is selected, and the principal component analysis method is applied to filter out most of the Gaussian noise.

[0074] The data residual noise variance of the coefficient shrinkage reconstruction is estimated, and after the estimation is completed, it is input into the adaptive bilateral filter to obtain the denoised and enhanced data set.

[0075] As shown in Figure 3 The specific process of step S103 in the embodiment of the application is that the drilling equipment operation state is risk evaluated.

[0076] S301, according to the collected formation parameters and bottom hole drilling parameters, a three-dimensional simulation action model of rock structure in the formation is established.

[0077] S302, a safe drilling pressure calculation model and a rock damage boundary calculation model are selected to determine a safe drilling pressure range and a rock damage boundary.

[0078] S303, the safe drilling pressure range and the rock damage boundary are input into the risk coefficient model to calculate the risk coefficient, and the drilling safety risk is evaluated according to the obtained risk coefficient.

[0079] S304, according to the risk evaluation result, the drilling equipment operation parameters are optimized and adjusted.

[0080] In step S301 in the embodiment of the application, according to the collected formation parameter data, drilling equipment state data and drilling process data, the rock structure in the formation is divided into three comprehensive evaluation levels of class I, class II and class III.

[0081] Q=P1*P2*P3;

[0082] In the formula, Q is the evaluation score of each comprehensive evaluation level, P1 is the assigned percentage of each parameter data, in %, P2 is the assigned value of each parameter data corresponding to the level, and P3 is the proportion of each parameter data, in %.

[0083] As shown in Figure 4 The step S103 in the embodiment of the application determines the specific steps of determining the optimal drilling equipment setting parameter, which include:

[0084] S401, determining the parameter range and the sample number of the parameter in the operation process of the drilling equipment, wherein the parameter range is the selected range boundary value of the drilling equipment control parameter, and the sample number is the total number of samples generated in the parameter optimization process;

[0085] S402, inputting each control parameter range of the drilling equipment into a servo control parameter generator, and generating a corresponding servo system control parameter value sample set according to each control parameter range of the servo system input into the servo control parameter generator;

[0086] S403, sequentially updating the corresponding servo control parameter according to each control parameter sample set value generated by the servo control parameter generator, and selecting the optimal sample combination of the servo system control parameter according to the fitness function value combination;

[0087] S404, performing selection, copying, crossing and mutation operations on the sample combination by the control parameter optimizer to generate a new control parameter sample set, and giving the control parameter value corresponding to the optimal control parameter sample combination after satisfying the optimization end condition.

[0088] As shown in Figure 5 The step S104 in the embodiment of the application synchronizes the current setting parameter to the optimal drilling equipment setting parameter, and the specific steps include:

[0089] S501, calculating the drilling tool rotating speed in real time according to the sensor signal, and determining the deviation and the deviation change rate of the controller output value and the setting parameter;

[0090] S502, performing performance test of the controller according to the size of the deviation and the deviation change rate, and determining the control of the output quantity;

[0091] S503, determining the membership function of the deviation, the deviation change rate and the output quantity, calculating the output quantity according to the reference value of the drilling tool rotating speed fuzzy controller, and controlling the drilling equipment setting parameter of the regulator according to the size of the adjustment amount of the output quantity.

[0092] The drilling device for layered strengthening parameter suitable for the Sichuan-Chongqing region provided by the embodiment of the application includes:

[0093] The stratum parameter acquisition module is configured to collect and acquire the density, permeability, porosity and hardness information of the rock in the stratum corresponding to the position pre-stored in the cloud server.

[0094] The downhole drilling parameter acquisition module is configured to detect and collect the downhole drilling parameters in the operation of the drilling tool in real time by using a tool sub installed at the lower end of the drilling tool, and the downhole drilling parameters include the rotation speed of the drill bit, the drilling pressure, the temperature of the drill bit, the torque of the drill bit, the pump pressure at the bottom of the well and the flow rate at the bottom of the well.

[0095] The data preprocessing module is connected with the stratum parameter acquisition module and the downhole drilling parameter acquisition module, and is configured to preprocess the collected stratum parameters and downhole drilling parameters.

[0096] The drilling comprehensive analysis module is connected with the data preprocessing module, and is configured to determine the optimal drilling equipment setting parameter according to the preprocessed stratum parameters and downhole drilling parameters.

[0097] The parameter adjustment module is configured to compare the optimal drilling equipment setting parameter with the current setting parameter of the drilling equipment, and if they are inconsistent, the current setting parameter is synchronized to the optimal drilling equipment setting parameter.

[0098] The central control module is connected with the stratum parameter acquisition module, the downhole drilling parameter acquisition module, the data preprocessing module, the drilling comprehensive analysis module, the parameter adjustment module, the communication module and the remote monitoring module by setting a controller, and is configured to coordinate the normal operation of the modules.

[0099] The communication module is provided with a communication device to connect the remote monitoring module and the central control module, and realize information interaction.

[0100] The remote monitoring module is provided with a remote monitoring terminal device to remotely monitor the operation state of the overall drilling equipment.

[0101] The data preprocessing module in the embodiment of the application is provided with a data preprocessing program to denoise and enhance the collected stratum parameters and downhole drilling parameters, and perform fusion processing.

[0102] The drilling comprehensive analysis module in the embodiment of the application includes:

[0103] The risk assessment unit is configured to perform risk assessment on the operation state of the drilling equipment by a risk assessment program according to the collected stratum parameters and downhole drilling parameters.

[0104] The optimal parameter output unit is configured to output the control parameter of the optimal operation state of the drilling equipment by a parameter output program.

[0105] The embodiments of the present application are described above with reference to the accompanying drawings, but the present application is not limited to the above-described specific embodiments, and the above-described specific embodiments are merely illustrative, but not restrictive, and a person of ordinary skill in the art can make many forms under the inspiration of the present application without departing from the purpose of the present application and the scope protected by the claims, and these all belong to the protection of the present application.

Claims

1. A stratified enhanced parameter drilling method for shale gas wells, characterized in that, Includes the following steps: Step 1: Use the formation parameter acquisition module to collect information on the density, permeability, porosity, and hardness of rocks in the corresponding formations stored in the cloud server. Use the tool section installed at the bottom of the drill string in the bottom hole drilling parameter acquisition module to collect and monitor the bottom hole drilling parameters in real time during the drilling process. Step 2: Use the data preprocessing module to preprocess the formation parameters and bottom hole drilling parameters acquired by the formation parameter acquisition module and the bottom hole drilling parameter acquisition module; Step 3: Using the drilling comprehensive analysis module, a risk assessment of the drilling equipment's operating status is conducted based on the pre-processed formation parameters and bottom hole drilling parameters, and the optimal drilling equipment setting parameters are determined. The specific steps for determining the optimal drilling equipment settings include: (1) Determine the parameter range and the number of parameter samples during the operation of the drilling equipment. The parameter range is the boundary value of the selected range of the drilling equipment control parameters, and the number of samples is the total number of samples generated during the parameter optimization process. (2) The range of each control parameter of the drilling equipment is input into the servo control parameter generator. The servo control parameter generator generates a corresponding set of servo system control parameter values ​​based on the input range of each control parameter of the servo system. (3) Update the corresponding servo control parameters sequentially based on the sample set values ​​of each control parameter generated by the servo control parameter generator; select the best sample combination of servo system control parameters based on the combination of fitness function values. (4) The control parameter optimizer performs selection, copying, crossover, and mutation operations on the sample combination to generate a new control parameter sample set. After the optimization termination condition is met, it gives the control parameter value corresponding to the best control parameter sample combination. Step 4: Use the parameter adjustment module to compare the determined optimal drilling equipment settings with the current drilling equipment settings. If they are inconsistent, synchronize the current settings with the optimal drilling equipment settings. Step 5: The remote monitoring module uses the communication module to interact with the central control module to remotely monitor the entire drilling equipment. The specific process for conducting a risk assessment of the drilling equipment's operating status in step three is as follows: Based on the collected formation parameters and bottom hole drilling parameters, a three-dimensional simulation model of rock structure in the formation is established. Simultaneously, a safe drill pressure calculation model and a rock damage boundary calculation model are selected to determine the safe drill pressure range and the rock damage boundary. The safe drilling pressure range and rock damage boundary are input into the risk coefficient model to calculate the risk coefficient. Based on the obtained risk coefficient, a drilling safety risk assessment is conducted. Based on the risk assessment results, the operating parameters of the drilling equipment were optimized and adjusted. Based on the collected formation parameter data, drilling equipment status data, and drilling process data, the rock structures in the formation are divided into three comprehensive evaluation levels: Class I, Class II, and Class III. Q = P1 * P2 * P3 In the formula, Q is the evaluation score of each comprehensive evaluation level, P1 is the percentage of each parameter data assigned (in %), P2 is the assigned value of each parameter data at the corresponding level, and P3 is the proportion of each parameter data.

2. The shale gas well layered enhanced parameter drilling method according to claim 1, characterized in that, The data preprocessing methods used in the data preprocessing module in step two include: (1) Establish corresponding datasets for the collected formation parameters and bottom hole drilling parameters; (2) The collected formation parameters and bottom hole drilling parameters are denoised and enhanced respectively using a denoising and enhancement program; (3) After the noise reduction and enhancement are completed, the features in each dataset are extracted, and the similarity classification of each feature is performed. Each feature is explained and described to obtain a unified fusion attribute description.

3. The shale gas well layered enhanced parameter drilling method according to claim 2, characterized in that, The specific process of step (2) in which the collected formation parameters and bottom hole drilling parameters are denoised and enhanced using a denoising and enhancement program is as follows: Based on the collected formation parameters and bottom hole drilling parameters, different types of classification datasets are established; Denoising and enhancement are performed on various types of classification datasets using principal component analysis and bilateral filtering; Select the training sample set for PCA and apply principal component analysis to filter out most of the Gaussian noise; The variance of residual noise in the data reconstructed by coefficient shrinkage is estimated. After the estimation is completed, it is input into an adaptive bilateral filter to obtain the denoised and enhanced dataset.

4. The shale gas well layered enhanced parameter drilling method according to claim 1, characterized in that, The specific steps in step four of synchronizing the current settings with the optimal drilling equipment settings include: The drill bit rotation speed is calculated in real time based on sensor signals to determine the deviation and rate of change of the controller output value from the set parameters. The controller's performance is tested based on the magnitude of the deviation and the rate of change of the deviation to determine the control of the output. Determine the membership functions of deviation, deviation change rate, and output quantity. Based on the reference value of the fuzzy controller for drill string speed, calculate the output quantity, and control the drilling equipment setting parameters of the regulator according to the magnitude of the output quantity adjustment.

5. A shale gas well layered enhanced parameter drilling device, characterized in that, include: The formation parameter acquisition module is used to collect and acquire information on the density, permeability, porosity, and hardness of rocks in the corresponding formations stored in the cloud server. The bottom hole drilling parameter acquisition module is used to detect and acquire bottom hole drilling parameters in real time during the drilling process by using a tool section installed at the bottom of the drill string. The bottom hole drilling parameters include drill bit speed, drilling pressure, drill bit temperature, drill bit torque, bottom hole pump pressure, and bottom hole flow velocity. The data preprocessing module is connected to the formation parameter acquisition module and the bottom hole drilling parameter acquisition module, and is used to preprocess the acquired formation parameters and bottom hole drilling parameters. The data preprocessing module is connected to a drilling comprehensive analysis module, which is used to determine the optimal drilling equipment setting parameters based on the preprocessed formation parameters and bottom hole drilling parameters. The specific steps for determining the optimal drilling equipment settings include: (1) Determine the parameter range and the number of parameter samples during the operation of the drilling equipment. The parameter range is the boundary value of the selected range of the drilling equipment control parameters, and the number of samples is the total number of samples generated during the parameter optimization process. (2) The range of each control parameter of the drilling equipment is input into the servo control parameter generator. The servo control parameter generator generates a corresponding set of servo system control parameter values ​​based on the input range of each control parameter of the servo system. (3) Update the corresponding servo control parameters sequentially based on the sample set values ​​of each control parameter generated by the servo control parameter generator; select the best sample combination of servo system control parameters based on the combination of fitness function values. (4) The control parameter optimizer performs selection, copying, crossover, and mutation operations on the sample combination to generate a new control parameter sample set. After the optimization termination condition is met, it gives the control parameter value corresponding to the best control parameter sample combination. The parameter adjustment module is used to compare the determined optimal drilling equipment settings with the current drilling equipment settings. If they are inconsistent, the current settings will be synchronized to the optimal drilling equipment settings. The central control module, equipped with controllers, is connected to the formation parameter acquisition module, the bottom hole drilling parameter acquisition module, the data preprocessing module, the drilling comprehensive analysis module, the parameter adjustment module, the communication module, and the remote monitoring module, and is used to coordinate the normal operation of each module. The communication module is equipped with communication equipment to connect the remote monitoring module and the central control module to achieve information exchange; The remote monitoring module is equipped with a remote monitoring terminal device for remotely monitoring the operating status of the entire drilling equipment; The drilling comprehensive analysis module includes: The risk assessment unit is used to assess the risk of drilling equipment operation status based on the collected formation parameters and bottom hole drilling parameters through a risk assessment program. The optimal parameter output unit is used to output control parameters for the optimal operating state of the drilling equipment through the parameter output program. The specific process by which the risk assessment unit conducts a risk assessment of the drilling equipment's operating status is as follows: Based on the collected formation parameters and bottom hole drilling parameters, a three-dimensional simulation model of rock structure in the formation is established. Simultaneously, a safe drill pressure calculation model and a rock damage boundary calculation model are selected to determine the safe drill pressure range and the rock damage boundary. The safe drilling pressure range and rock damage boundary are input into the risk coefficient model to calculate the risk coefficient. Based on the obtained risk coefficient, a drilling safety risk assessment is conducted. Based on the risk assessment results, the operating parameters of the drilling equipment were optimized and adjusted. Based on the collected formation parameter data, drilling equipment status data, and drilling process data, the rock structures in the formation are divided into three comprehensive evaluation levels: Class I, Class II, and Class III. Q = P1 * P2 * P3 In the formula, Q is the evaluation score of each comprehensive evaluation level, P1 is the percentage of each parameter data assigned (in %), P2 is the assigned value of each parameter data at the corresponding level, and P3 is the proportion of each parameter data.

6. The shale gas well layered enhanced parameter drilling apparatus according to claim 5, characterized in that, The data preprocessing module is equipped with a data preprocessing program to denoise and enhance the collected formation parameters and bottom hole drilling parameters, and then perform fusion processing.

Images