Drilling device operation performance test system based on data acquisition

Abstract

The invention discloses a well drilling device operation performance test system based on data acquisition, and relates to the technical field of industrial equipment performance evaluation. Real-time monitoring and data acquisition of key components (such as a drill bit, a rotating head, a drill rod and a drill tower) and an operation environment in drilling operation are realized. Multi-dimensional operation data, stress distribution data and environment parameter data are obtained in real time, the operation performance of the drilling device is comprehensively evaluated, accurate performance testing and real-time monitoring on the drilling device are promoted, potential problems of the drilling device can be recognized in time according to various performance testing results, corresponding optimization strategies are generated, and the drilling device is optimized. The down time caused by equipment faults is shortened, various operations of drilling operation are optimized, finally, the operation efficiency is improved, and unnecessary maintenance and operation cost is reduced.

Description

Technical Field

[0001] The invention relates to the technical field of industrial equipment performance, and in particular to a drilling device operation performance testing system based on data acquisition. Background Art

[0002] Drilling technology is widely used in the exploitation of resources such as oil, natural gas, and geothermal energy. In modern drilling operations, the performance of drilling equipment directly affects drilling efficiency and operation safety. During the drilling process, the operating status of key components such as the drill bit, rotary head, and drill pipe, as well as the stress conditions of the connection parts and drilling tower, and the geological characteristics of the rock formations, all have a significant impact on drilling efficiency, drilling safety, and drilling costs.

[0003] In traditional technologies, each link in the drilling operation (such as drill bit efficiency, rotary head torque, drill pipe bending, etc.) often adopts a single or intermittent data collection method, which cannot comprehensively reflect the operating status of each component in real time. This limits the comprehensive performance analysis of the drilling device and also affects the timely discovery of abnormal conditions or potential faults during the operation.

[0004] Stress distribution in drilling operations is often the root cause of equipment failure, especially the stress state of key structures such as joints and rigs. If stress changes cannot be monitored in real time and the operation strategy cannot be adjusted in time, it is very easy to cause equipment damage or safety accidents. However, traditional technologies usually lack comprehensive monitoring and real-time analysis of these key points. Summary of the invention

[0005] In view of the deficiencies of the prior art, the present invention provides a drilling device operation performance test system based on data acquisition to solve the problems mentioned in the background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A drilling device operation performance test system based on data acquisition, comprising: The data acquisition module is used to determine the geological conditions and key construction areas in the construction drilling area and its surroundings, and arrange exploration points and data acquisition points according to the drilling depth, rock layer distribution and construction requirements, and collect the operating parameters of the drill bit, rotary head and drill pipe of the drilling device in real time during the drilling operation to form a multi-dimensional operation data group; The stress distribution acquisition module is used to install stress sensors at the connection between the drill bit, rotary head and drill rod to collect stress data of the connection points in real time and form a stress distribution data set of the connection points; and to install stress sensors at the base and top of the drilling tower to collect stress data of the drilling tower base. and the stress on the top of the derrick , forming a tower body bearing data group; The drilling environment collection module is used to collect the volume of broken rock per unit time in real time during the drilling operation. , rock type coefficient , rock density , drilling depth H and formation temperature , forming an environmental parameter group; The performance prediction and analysis module is used to establish a drilling device operation performance correlation analysis model based on the collected multi-dimensional operation data group, connection point stress distribution data group, tower body load data group and environmental parameter group using machine learning algorithms. After training the drilling device operation performance correlation analysis model, the following calculations are performed to obtain the drill bit efficiency coefficient: , Rotating head torque stability coefficient , drill pipe bending resistance coefficient , stress distribution coefficient of the connection part and the drilling tower stress variation coefficient ; Evaluation module for drilling efficiency factor , Rotating head torque stability coefficient , drill pipe bending resistance coefficient , stress distribution coefficient of the connection part and the drilling tower stress variation coefficient Evaluate them separately to obtain corresponding test results, and generate corresponding strategies based on the corresponding test results.

[0007] Preferably, the data acquisition module includes a drill bit data acquisition unit, a rotating head data acquisition unit, a drill rod data acquisition unit and a summary unit; The drill bit data acquisition unit is used to collect the drill bit operating parameters of the drilling device during the drilling operation. The drill bit operating parameters include: drill bit rotation speed , Drill bit axial load , wear rate , drill bit temperature rise change and the drill bit penetration rate per unit time ; The rotating head data acquisition unit is used to collect the rotating head operating parameters of the drilling device during the drilling operation. The rotating head operating parameters include: the instantaneous torque value of the rotating head collected for the jth time and average torque value ; The drill pipe data acquisition unit is used to collect the drill pipe operation parameters of the drilling device during the drilling operation. The drill pipe operation parameters include: drill pipe axial load , Drill rod length , drill pipe vibration amplitude , drill pipe vibration frequency , Actual bending radius of drill pipe and maximum drill pipe stress ; The summary unit is used to summarize the data collected by the drill bit data collection unit, the rotating head data collection unit and the drill rod data collection unit to form a multi-dimensional operation data group.

[0008] Preferably, the stress distribution collection module includes a connection point stress distribution collection unit and a drilling tower body stress collection unit; The connection point stress distribution acquisition unit is used to install stress sensors at the connection between the drill bit, the rotary head and the drill rod to collect the connection point stress data in real time to form a connection point stress distribution data group. The connection point stress distribution data group includes: the connection point axial stress of the sth point , radial stress and tangential stress ; The derrick tower body stress collection unit is used to install stress sensors on the derrick tower base and tower top to collect the stress of the derrick tower base. and the stress on the top of the derrick , forming a tower body load data group, which also includes the following data: wind speed value at tower base , Wind speed value at the top of the drilling tower , the radius r of the derrick, the height h of the derrick, the elastic modulus E of the derrick material and the moment of inertia I of the derrick cross section.

[0009] Preferably, the performance prediction and analysis module includes a preprocessing unit and a model building unit; The preprocessing unit is used to preprocess the multi-dimensional operation data group, the connection point stress distribution data group, the tower body bearing data group and the environmental parameter group. The preprocessing includes: denoising, smoothing and data normalization; The model building unit is used to establish a correlation analysis model for the operation performance of the drilling device using a machine learning algorithm. After selecting the characteristics related to the operation performance of the drilling device from the multi-dimensional operation data group, the connection point stress distribution data group, the tower body bearing data group and the environmental parameter group, the following are calculated and obtained through mathematical transformation: , Rotating head torque stability coefficient , drill pipe bending resistance coefficient , stress distribution coefficient of the connection part and the drilling tower stress variation coefficient .

[0010] Preferably, the drill efficiency coefficient The method of obtaining is to obtain it through the following steps: S11. Extracting the drill bit rotation speed from the drill pipe operation parameters , Drill bit axial load , wear rate and drill bit temperature rise , which is used to calculate the energy consumption required to crush a unit volume of rock. The rock crushing specific energy is calculated by the following formula: : ; ; In the formula, represents the rock volume broken per unit time, D represents the drill bit diameter, It indicates the drilling speed per unit time, which is collected in real time by the drilling sensor in m / s; t indicates the collection time. is the drill bit rotation speed, in rad / s, is the drill bit axial load; S12, and based on the rock crushing specific energy in S11 , the rock crushing efficiency is calculated by the following formula : ; ; In the formula, Indicates the rock type coefficient, which is set according to different types of rocks, including: rock type coefficient of sandstone Set to 1.0-2.0; rock type coefficient for shale Set to 2.0-3.5; rock type coefficient for limestone Set to 1.5-3.0; rock type coefficient for granite Set to 3.5-5.0; rock type coefficient for basalt Set to 4.0-6.0; rock type coefficient of marble Set to 2.0-4.5; rock type coefficient of clay layer Set to 0.5-1.5; in, Represents the compressive strength of rock, Indicates the rock density, measured by a density sensor, in kg / m³; is the acceleration due to gravity, set to 9.8m / s², H is the drilling depth in meters; S13. Calculate the drill bit cutting energy consumption ratio : ; In the formula, Indicates the drilling speed per unit time. is the drill bit rotation speed, is the drill bit axial load; S14, extracting the formation temperature , drilling fluid flow rate and drill bit temperature changes The cooling efficiency ratio is calculated by the following formula : ; S15, according to the drill wear efficiency and the maximum allowable wear rate , calculate the drill material life factor , the formula is as follows: ; S16. Rock crushing efficiency calculated in S11-S15 , Drill cutting energy consumption ratio , Cooling efficiency ratio and drill material life factor , after dimensionless processing, the drill efficiency coefficient is calculated by the following formula : ; Among them, the drill cutting energy consumption ratio are in an inversely proportional relationship, so in the denominator.

[0011] Preferably, the torque stability coefficient of the rotating head The method of obtaining is to obtain it through the following steps: S21, extracting the j-th collected instantaneous torque value of the rotating head in the rotating head operating parameters in the multi-dimensional operating data group and average torque value , the rotary head torque fluctuation ratio is calculated by the following formula : ; In the formula, represents the instantaneous torque value of the rotating head collected for the jth time, and M is the number of collection points of the instantaneous torque value of the rotating head; S22, combined with the drill bit rotation speed and drill pipe axial load , the torque stability coefficient of the rotating head is calculated by the following formula: : ; Drill pipe bending resistance coefficient The method of obtaining is to obtain it through the following steps: S31, extracting the actual bending radius of the drill rod in the drill rod operation parameters in the multi-dimensional operation data group and drill rod length , the drill pipe bending amplitude is calculated by the following formula : ; S32, extract drill pipe vibration amplitude , drill pipe vibration frequency , the drill pipe vibration index is calculated by the following formula : ; S33, comprehensive drill pipe bending amplitude 、 Maximum stress of drill pipe 、 Drilling depth H, drill pipe vibration index 、 Rock type coefficient and rock density ， The drill pipe bending resistance coefficient is calculated by the following formula : ; Preferably, the stress distribution coefficient of the connection part The method of obtaining is to obtain it through the following steps: S41. Extract the axial stress of the connection point at the sth point in the connection point stress distribution data group. , radial stress and tangential stress , the standard deviation of the axial stress at the connection point is calculated using the following formula: , standard deviation of radial stress at the connection point and the standard deviation of the tangential stress at the connection point : ; In the formula, represents the average value of the axial stress at the connection point, Indicates the number of sampling points of axial stress at the connection point; represents the average value of the radial stress at the connection point, Indicates the number of radial stress sampling points at the connection point; represents the average value of the tangential stress at the connection point, Indicates the number of sampling points of tangential stress at the connection point; the larger the standard deviation fluctuation, the more uneven the stress distribution at the connection part; S42, based on the standard deviation of axial stress at the connection point , standard deviation of radial stress at the connection point and the standard deviation of the tangential stress at the connection point , the stress distribution coefficient of the connection part is calculated by the following formula : ;、 In the formula, , and Respectively represent the maximum standard deviation of the axial, radial and tangential stresses at the connection point, Represents the weight coefficient.

[0012] Preferably, the drilling tower stress variation coefficient The method of obtaining is to obtain it through the following steps: S51, extracting the wind speed value at the tower base in the tower body bearing data group And the wind speed value at the top of the drilling tower , calculate the first wind pressure value and the second wind pressure value : ; In the formula, Indicates air density; S52. In wind energy, wind speed increases with height. According to the first wind pressure value and the second wind pressure value , the wind pressure distance coefficient is calculated by the following formula : ; In the formula, They are the height from the ground to the base of the derrick and the height from the ground to the top of the derrick; S53, set the drilling tower to be cylindrical, the wind pressure acts on the outside of the drilling tower, and collect the side surface area of ​​the drilling tower , the calculation formula is: ; Where r is the radius of the drilling tower, and h is the height of the drilling tower; S54. Collect the elastic modulus E of the drilling tower material and the moment of inertia of the drilling tower cross section. , the derrick stiffness constant C is calculated by the following formula: ; S55, Extracting the stress of the derrick foundation and the stress on the top of the derrick , combined with the wind pressure distance coefficient obtained from S52-S54 , the lateral surface area of ​​the derrick and the derrick stiffness constant C, after dimensionless processing, the derrick stress variation coefficient is calculated by the following formula : ; In the formula, Indicates the stress of the derrick foundation and the stress on the top of the derrick Average value of: Drilling tower stress variation coefficient Used to indicate the relative change of stress on the drilling tower under wind pressure.

[0013] Preferably, the evaluation module includes a drill bit evaluation unit, a rotary head evaluation unit, a drill rod evaluation unit, a connection part evaluation unit and a drilling tower instability evaluation unit; The drill bit evaluation unit is used to set a first threshold value X1 and set the drill bit efficiency coefficient Compare with the first threshold value X1 to obtain a first test result, including: When the drill efficiency coefficient ≥ the first threshold value X1, indicating that the drilling head of the drilling device is in normal operation and the drilling operation continues; When the drill efficiency coefficient < the first threshold value X1, indicating that the operation state of the drill bit of the drilling device is abnormal, triggering the first alarm; The rotating head evaluation unit is used to set the second threshold value X2 and the rotating head torque stability coefficient Compare with the second threshold value X2 to obtain a second test result, including: When the rotating head torque stability coefficient ≥ the second threshold value X2, indicating that the rotary head of the drilling device is operating normally and the drilling operation continues; When the rotating head torque stability coefficient < the second threshold value X2, indicating that the operating state of the rotary head of the drilling rig is abnormal, triggering the second alarm; The drill pipe evaluation unit is used to set the third threshold value X3 and the drill pipe bending resistance coefficient Compare with the third threshold value X3 to obtain a third test result, including: When the drill pipe bending resistance coefficient ≤ the third threshold value X3, indicating that the drilling rod of the drilling device is in normal operation and the drilling operation continues; When the drill pipe bending resistance coefficient > The third threshold value X3 indicates that the drilling rod of the drilling device is in an abnormal operating state, triggering the third alarm; The connection part evaluation unit is used to set a fourth threshold value X4 and calculate the stress distribution coefficient of the connection part. Compare with the fourth threshold value X4 to obtain a fourth test result, including: When the stress distribution coefficient of the connection part ≤ the fourth threshold value X4, indicating that the stress distribution of the connection between the drill bit, the rotary head and the drill pipe of the drilling device during operation is uniform, and the drilling operation continues; When the stress distribution coefficient of the connection part > The fourth threshold value X4 indicates that the stress distribution at the connection between the drill bit, rotary head and drill pipe of the drilling device is uneven during operation, and there is a risk of deformation or rupture of the connection, triggering the fourth alarm; The drilling tower instability assessment unit is used to set the fifth threshold value X5 and the drilling tower stress variation coefficient Compare with the fifth threshold value X5 to obtain a fifth test result, including: When the drilling tower stress variation coefficient > The fifth threshold value X5 indicates that the wind resistance of the drilling tower of the drilling rig is abnormal during operation, and there is a risk of instability, and the fifth alarm is issued; When the drilling tower stress variation coefficient ≤ the fifth threshold value X5, indicating that the wind resistance of the drilling tower of the drilling rig is normal during operation and the drilling operation continues.

[0014] Preferably, the evaluation module further includes a strategy unit, which is used to generate corresponding strategies according to the first alarm, the second alarm, the third alarm, the fourth alarm and the fifth alarm, including: The first strategy is generated based on the first alarm, including: reducing the current drill bit rotation speed by 10%-30%, reducing the current drill bit footage speed by 10%-15%, and increasing the current drilling fluid flow rate by 10%-15%. If the drilling pressure is still less than the first threshold value X1, the drilling operation is interrupted and the drill bit is replaced or maintained; The second strategy is generated based on the second alarm, including: reducing the current drill bit rotation speed by 10%-30%, reducing the current rotary head torque output by 5%-15%, and increasing the current drilling fluid flow rate by 10%-15%. If the value is still less than the second threshold value X2, the drilling operation is interrupted and the rotary head is replaced or maintained; The third strategy is generated based on the third alarm, including: reducing the current drill bit rotation speed by 10%-30%, reducing the current drill bit footage speed by 10%-15%, increasing the current drilling fluid flow rate by 10%-15%, and reducing the current drill pipe length by 2 meters to 3 meters. If it is still greater than the third threshold value X3, the drilling operation is interrupted and the drill pipe is replaced or maintained; The fourth strategy is generated according to the fourth alarm, including: reducing the current drilling fluid flow rate by 7%-13% to reduce the stress fluctuation of the connection part caused by the excessive drilling fluid, and reducing the current drill bit footage speed by 10%-15%. If the stress distribution coefficient of the connection part If it is still greater than the fourth threshold value X4, the drilling operation is interrupted and the drill pipe is replaced or maintained; The fifth strategy is generated according to the fifth alarm, including: reducing the current drill bit rotation speed by 10%-30%, reducing the current drill bit footage speed by 10%-15%, and installing support beams on the derrick foundation structure in stages, 1-2 support beams each time, until the derrick stress change coefficient is ≤ the fifth threshold value X5.

[0015] The present invention provides a drilling device operation performance test system based on data acquisition. It has the following beneficial effects: (1) The system monitors the drill bit, rotary head and drill pipe separately, reducing the possibility of abnormalities caused by wear of a single component of the drill bit, rotary head and drill pipe, which may cause the entire drilling device to shut down and affect the progress and efficiency of the operation. This separate monitoring strategy can detect the status of the drill bit, rotary head and drill pipe in real time. When one of the components is abnormal, the corresponding parameters can be adjusted or local repair measures can be taken to avoid the overall shutdown of the system or the inability to continue operations.

[0016] (2) By taking into account the standard deviation of the axial stress, radial stress, and tangential stress at the connection, the system can more comprehensively evaluate the stress distribution at the connection. Compared with the traditional single stress indicator, this multi-dimensional stress monitoring method can provide more detailed stress change data, which helps to accurately determine whether there is stress concentration or unevenness at the connection. This can more accurately predict the potential failure risk of the connection.

[0017] (3) During drilling operations, the stress state of the connection between the drill bit, rotary head and drill pipe, as well as the drilling tower, directly affects the safety and service life of the equipment. The present invention effectively compensates for the problem of insufficient monitoring of these parts in traditional technologies by using the stress distribution acquisition module to monitor stress at key connection points and the base and top of the drilling tower. Real-time collection and analysis of stress changes can provide early warning of potential equipment failures and avoid equipment failures or safety accidents caused by excessive stress.

[0018] (4) By dynamically optimizing key parameters such as drill bit rotation speed, drilling fluid flow rate, and drilling speed, the present invention can effectively reduce excessive wear of drilling equipment and reduce the need for frequent replacement or maintenance of equipment, thereby extending the service life of the equipment. In addition, the system avoids premature damage to the equipment and reduces long-term maintenance costs by specifically adjusting the operating status of each device. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 The present invention is a flowchart of a drilling device operation performance testing system based on data acquisition. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] Example 1 The drill bit is the component that comes into direct contact with the formation during drilling, and its operating status directly affects drilling efficiency. The wear degree, axial load and rotation speed of the drill bit will affect the service life and working effect of the drill bit. If the drill bit is excessively worn or used improperly, it may lead to a decrease in drilling speed, an increase in production costs, and even failures such as drill breakage or drill jamming, resulting in interruption of operations.

[0022] See also Figure 1 The present invention provides a drilling device operation performance test system based on data acquisition, comprising: The data acquisition module is used to determine the geological conditions and key construction areas in the construction drilling area and its surroundings, and arrange exploration points and data acquisition points according to the drilling depth, rock layer distribution and construction requirements, and collect the operating parameters of the drill bit, rotary head and drill pipe of the drilling device in real time during the drilling operation to form a multi-dimensional operation data group; The stress distribution acquisition module is used to install stress sensors at the connection between the drill bit, rotary head and drill rod to collect stress data of the connection points in real time and form a stress distribution data set of the connection points; and to install stress sensors at the base and top of the drilling tower to collect stress data of the drilling tower base. and the stress on the top of the derrick , forming a tower body bearing data group; The drilling environment collection module is used to collect the volume of broken rock per unit time in real time during the drilling operation. , rock type coefficient , rock density , drilling depth H and formation temperature , forming an environmental parameter group; The performance prediction and analysis module is used to establish a drilling device operation performance correlation analysis model based on the collected multi-dimensional operation data group, connection point stress distribution data group, tower body load data group and environmental parameter group using machine learning algorithms. After training the drilling device operation performance correlation analysis model, the following calculations are performed to obtain the drill bit efficiency coefficient: , Rotating head torque stability coefficient , drill pipe bending resistance coefficient , stress distribution coefficient of the connection part and the drilling tower stress variation coefficient ; Evaluation module for drilling efficiency factor , Rotating head torque stability coefficient , drill pipe bending resistance coefficient , stress distribution coefficient of the connection part and the drilling tower stress variation coefficient Evaluate them separately to obtain corresponding test results, and generate corresponding strategies based on the corresponding test results.

[0023] In this embodiment, by monitoring the wear rate, temperature rise change and other parameters of the drill bit, an early warning can be issued before the drill bit fails, avoiding downtime and equipment loss caused by drill bit damage. The rotating head is responsible for providing rotational motion, which directly affects the rotation speed and footage of the drill bit. The instantaneous torque value and average torque value of the rotating head reflect its working state. If the torque of the rotating head is unstable, it may cause discontinuity in drilling operations and even equipment damage. The drill pipe is subjected to large axial loads and bending forces during drilling, and it will vibrate when working. The bending radius, vibration amplitude and maximum stress of the drill pipe are key indicators for judging whether the drill pipe is in normal working condition. If the drill pipe is excessively bent or vibrated, it may cause breakage or stuck drill, and in severe cases, it may even cause the entire drilling operation to stagnate. By real-time monitoring of the stress and vibration of the drill pipe, possible fatigue damage of the drill pipe can be discovered in advance, and the operation mode or parts can be adjusted in time to avoid drilling accidents caused by damage to the drill pipe.

[0024] During drilling operations, the stress state of the connection between the drill bit, rotary head and drill pipe, and the derrick directly affects the safety and service life of the equipment. The present invention effectively compensates for the problem of insufficient monitoring of these parts in traditional technologies by using the stress distribution acquisition module at key connection points and the derrick base and top. Real-time collection and analysis of stress changes can provide early warning of potential equipment failures and avoid equipment failures or safety accidents due to excessive stress.

[0025] Example 2 See also Figure 1 ,Specifically, the data acquisition module includes a drill bit data acquisition unit, a rotating head data acquisition unit, a drill rod data acquisition unit and a ,summarizing unit; The drill bit data acquisition unit is used to collect the drill bit operating parameters of the drilling device during the drilling operation. The drill bit operating parameters include: drill bit rotation speed , Drill bit axial load , wear rate , drill bit temperature rise change and the drill bit penetration rate per unit time ; The rotating head data acquisition unit is used to collect the rotating head operating parameters of the drilling device during the drilling operation. The rotating head operating parameters include: the instantaneous torque value of the rotating head collected for the jth time and average torque value ; The drill pipe data acquisition unit is used to collect the drill pipe operation parameters of the drilling device during the drilling operation. The drill pipe operation parameters include: drill pipe axial load , Drill rod length , drill pipe vibration amplitude , drill pipe vibration frequency , Actual bending radius of drill pipe and maximum drill pipe stress ; The summary unit is used to summarize the data collected by the drill bit data collection unit, the rotating head data collection unit and the drill rod data collection unit to form a multi-dimensional operation data group.

[0026] The multi-dimensional operating data set is collected and acquired through optical encoders, force sensors, ultrasonic sensors, temperature sensors, displacement sensors, optical encoders, torque sensors, acceleration sensors and strain gauge sensors.

[0027] The stress distribution collection module includes a connection point stress distribution collection unit and a drilling tower body stress collection unit; The connection point stress distribution acquisition unit is used to install stress sensors at the connection between the drill bit, the rotary head and the drill rod to collect the connection point stress data in real time to form a connection point stress distribution data group. The connection point stress distribution data group includes: the connection point axial stress of the sth point , radial stress and tangential stress ; The derrick tower body stress collection unit is used to install stress sensors on the derrick tower base and tower top to collect the stress of the derrick tower base. and the stress on the top of the derrick , forming a tower body load data group, which also includes the following data: wind speed value at tower base , Wind speed value at the top of the drilling tower , the radius r of the derrick, the height h of the derrick, the elastic modulus E of the derrick material and the moment of inertia I of the derrick cross section.

[0028] The tower load data set is obtained through the following acquisition equipment: wind speed sensor, material testing instrument and laser scanner.

[0029] Example 3 See also Figure 1 ,The performance prediction and analysis module includes a preprocessing unit and a model building unit; The preprocessing unit is used to preprocess the multi-dimensional operation data group, the connection point stress distribution data group, the tower body bearing data group and the environmental parameter group. The preprocessing includes: denoising, smoothing and data normalization; The model building unit is used to establish a correlation analysis model for the operation performance of the drilling device using a machine learning algorithm. After selecting the characteristics related to the operation performance of the drilling device from the multi-dimensional operation data group, the connection point stress distribution data group, the tower body bearing data group and the environmental parameter group, the following are calculated and obtained through mathematical transformation: , Rotating head torque stability coefficient , drill pipe bending resistance coefficient , stress distribution coefficient of the connection part and the drilling tower stress variation coefficient .

[0030] Drill efficiency factor The method of obtaining is to obtain it through the following steps: S11. Extracting the drill bit rotation speed from the drill pipe operation parameters , Drill bit axial load , wear rate and drill bit temperature rise , which is used to calculate the energy consumption required to crush a unit volume of rock. The rock crushing specific energy is calculated by the following formula: : ; In the formula, represents the rock volume broken per unit time, D represents the drill bit diameter, It indicates the drilling speed per unit time, which is collected in real time by the drilling sensor in m / s; t indicates the collection time. is the drill bit rotation speed, in rad / s, is the axial load of the drill bit; rock crushing specific energy The combination of calculation and rock compressive strength can deeply analyze the drilling efficiency of different rock formations and adjust the drilling strategy in real time during the operation to improve operation efficiency and reduce costs.

[0031] S12, and based on the rock crushing specific energy in S11 , the rock crushing efficiency is calculated by the following formula ; ; ; In the formula, Indicates the rock type coefficient, which is set according to different types of rocks, including: rock type coefficient of sandstone Set to 1.0-2.0; rock type coefficient for shale Set to 2.0-3.5; rock type coefficient of limestone Set to 1.5-3.0; rock type coefficient for granite Set to 3.5-5.0; rock type coefficient for basalt Set to 4.0-6.0; rock type coefficient of marble Set to 2.0-4.5; rock type coefficient of clay layer Set to 0.5-1.5; in, Represents the compressive strength of rock, Indicates the rock density, measured by a density sensor, in kg / m³; is the acceleration due to gravity, set to 9.8m / s², H is the drilling depth in meters; S13. Calculate the drill bit cutting energy consumption ratio : ; In the formula, Indicates the drilling speed per unit time. is the drill bit rotation speed, is the drill bit axial load; S14, extracting the formation temperature , drilling fluid flow rate and drill bit temperature changes The cooling efficiency ratio is calculated by the following formula : ; Combined cooling efficiency ratio , which can effectively evaluate the cooling effect of the drill bit, prevent excessive temperature from causing premature wear of the drill bit or equipment failure, and ensure that the equipment operates in the best working condition.

[0032] S15, according to the drill wear efficiency and the maximum allowable wear rate , calculate the drill material life factor , the formula is as follows: ; S16. Rock crushing efficiency calculated in S11-S15 , Drill cutting energy consumption ratio , Cooling efficiency ratio and drill material life factor , after dimensionless processing, the drill efficiency coefficient is calculated by the following formula : ; Among them, the drill cutting energy consumption ratio are in an inversely proportional relationship, so in the denominator.

[0033] Drill efficiency factor The calculation takes into account multi-dimensional influencing factors, including rock crushing efficiency , Drill cutting energy consumption ratio , Cooling efficiency ratio and drill material life factor , through comprehensive evaluation, it helps to optimize drilling parameters for different geological conditions and construction requirements, reduce the load on the drill bit, extend the life of the drill bit, and improve drilling efficiency.

[0034] Rotating head torque stability coefficient The method of obtaining is to obtain it through the following steps: S21, extracting the j-th collected instantaneous torque value of the rotating head in the rotating head operating parameters in the multi-dimensional operating data group and average torque value , the rotary head torque fluctuation ratio is calculated by the following formula : ; In the formula, represents the instantaneous torque value of the rotating head collected for the jth time, M is the number of collection points of the instantaneous torque value of the rotating head; the torque fluctuation ratio of the rotating head It can evaluate the running stability of the rotary head and provide real-time torque fluctuation data during drilling, which provides a basis for further torque adjustment and optimization, helps to predict possible mechanical load fluctuations and improve equipment service life.

[0035] S22, combined with the drill bit rotation speed and drill pipe axial load , the torque stability coefficient of the rotating head is calculated by the following formula: : ; Rotating head torque stability coefficient Provides linkage effect between drill bit and drill pipe, considers relative change of torque, and further refines performance monitoring of rotary head.

[0036] Drill pipe bending resistance coefficient The method of obtaining is to obtain it through the following steps: S31, extracting the actual bending radius of the drill rod in the drill rod operation parameters in the multi-dimensional operation data group and drill rod length , the drill pipe bending amplitude is calculated by the following formula : ; By accurately measuring the bending degree of the drill pipe, the mechanical load of the drill pipe in working state can be determined to avoid stress concentration and damage caused by excessive bending.

[0037] S32, extract drill pipe vibration amplitude , drill pipe vibration frequency , the drill pipe vibration index is calculated by the following formula : ; Drill pipe vibration monitoring helps evaluate the vibration characteristics during drilling and avoid mechanical fatigue and reduced drilling efficiency caused by excessive vibration.

[0038] S33, comprehensive drill pipe bending amplitude 、 Maximum stress of drill pipe 、 Drilling depth H, drill pipe vibration index 、 Rock type coefficient and rock density ， The drill pipe bending resistance coefficient is calculated by the following formula : .

[0039] Drill pipe bending resistance coefficient Used to prevent excessive bending and fatigue of drill pipes, and improve the safety and efficiency of drilling operations Stress distribution coefficient at the connection The method of obtaining is to obtain it through the following steps: S41. Extract the axial stress of the connection point at the sth point in the connection point stress distribution data group. , radial stress and tangential stress , the standard deviation of the axial stress at the connection point is calculated using the following formula: , standard deviation of radial stress at the connection point and the standard deviation of the tangential stress at the connection point : ; In the formula, represents the average value of the axial stress at the connection point, Indicates the number of sampling points of axial stress at the connection point; represents the average value of the radial stress at the connection point, Indicates the number of radial stress sampling points at the connection point; represents the average value of the tangential stress at the connection point, Indicates the number of sampling points of tangential stress at the connection point; the larger the standard deviation fluctuation, the more uneven the stress distribution at the connection part; S42, based on the standard deviation of axial stress at the connection point , standard deviation of radial stress at the connection point and the standard deviation of the tangential stress at the connection point , the stress distribution coefficient of the connection part is calculated by the following formula : ; In the formula, Respectively represent the maximum standard deviation of the axial, radial and tangential stresses at the connection point, represents the weight coefficient, and . Stress distribution coefficient at the connection Providing accurate quantification of stress distribution at the connection point helps optimize the design of the connection and avoid material fatigue or fracture caused by uneven stress.

[0040] Drilling tower stress variation coefficient The method of obtaining is to obtain it through the following steps: S51, extracting the wind speed value at the tower base in the tower body bearing data group And the wind speed value at the top of the drilling tower , calculate the first wind pressure value and the second wind pressure value : ; In the formula, Indicates the air density; S52. In wind energy, wind speed increases with height. According to the first wind pressure value and the second wind pressure value , the wind pressure distance coefficient is calculated by the following formula : ; In the formula, They are the height from the ground to the base of the derrick and the height from the ground to the top of the derrick; the wind pressure distance coefficient Assess the impact of wind pressure on the rig, achieve accurate analysis of wind speed gradient, and ensure that the impact of wind pressure at different heights on the rig stress can be fully evaluated.

[0041] S53, set the drilling tower to be cylindrical, the wind pressure acts on the outside of the drilling tower, and collect the side surface area of ​​the drilling tower , the calculation formula is: ; Where r is the radius of the drilling tower, and h is the height of the drilling tower; S54. Collect the elastic modulus E of the drilling tower material and the moment of inertia of the drilling tower cross section. , the derrick stiffness constant C is calculated by the following formula: ; S55, Extracting the stress of the derrick foundation and the stress on the top of the derrick , combined with the wind pressure distance coefficient obtained from S52-S54 , the lateral surface area of ​​the derrick and the derrick stiffness constant C, after dimensionless processing, the derrick stress variation coefficient is calculated by the following formula : ; In the formula, Indicates the stress of the derrick foundation and the stress on the top of the derrick Average value of: Drilling tower stress variation coefficient It is used to indicate the relative change of stress of the drilling tower under wind pressure. Quantify the extent to which the rig is affected by wind pressure during actual operation to avoid stress overload of the rig under extreme weather conditions.

[0042] Example 4 See also Figure 1 ,Specifically, the evaluation module includes a drill bit evaluation unit, a rotating head evaluation unit, a drill rod evaluation unit, a connection ,part evaluation unit and a drilling tower instability evaluation unit; The drill bit evaluation unit is used to set a first threshold value X1 and set the drill bit efficiency coefficient Compare with the first threshold value X1 to obtain a first test result, including: When the drill efficiency coefficient ≥ the first threshold value X1, indicating that the drilling head of the drilling device is in normal operation and the drilling operation continues; When the drill efficiency coefficient < the first threshold value X1, indicating that the operation state of the drill bit of the drilling device is abnormal, triggering the first alarm; The rotating head evaluation unit is used to set the second threshold value X2 and the rotating head torque stability coefficient Compare with the second threshold value X2 to obtain a second test result, including: When the rotating head torque stability coefficient ≥ the second threshold value X2, indicating that the rotary head of the drilling device is operating normally and the drilling operation continues; When the rotating head torque stability coefficient < the second threshold value X2, indicating that the operating state of the rotary head of the drilling rig is abnormal, triggering the second alarm; The drill pipe evaluation unit is used to set the third threshold value X3 and the drill pipe bending resistance coefficient Compare with the third threshold value X3 to obtain a third test result, including: When the drill pipe bending resistance coefficient ≤ the third threshold value X3, indicating that the drilling rod of the drilling device is in normal operation and the drilling operation continues; When the drill pipe bending resistance coefficient > The third threshold value X3 indicates that the drilling rod of the drilling device is in an abnormal operating state, triggering the third alarm; The connection part evaluation unit is used to set a fourth threshold value X4 and calculate the stress distribution coefficient of the connection part. Compare with the fourth threshold value X4 to obtain a fourth test result, including: When the stress distribution coefficient of the connection part ≤ the fourth threshold value X4, indicating that the stress distribution of the connection between the drill bit, the rotary head and the drill pipe of the drilling device during operation is uniform, and the drilling operation continues; When the stress distribution coefficient of the connection part > The fourth threshold value X4 indicates that the stress distribution at the connection between the drill bit, rotary head and drill pipe of the drilling device is uneven during operation, and there is a risk of deformation or rupture of the connection, triggering the fourth alarm; The drilling tower instability assessment unit is used to set the fifth threshold value X5 and the drilling tower stress variation coefficient Compare with the fifth threshold value X5 to obtain a fifth test result, including: When the drilling tower stress variation coefficient > The fifth threshold value X5 indicates that the wind resistance of the drilling tower of the drilling rig is abnormal during operation, and there is a risk of instability, and the fifth alarm is issued; When the drilling tower stress variation coefficient ≤ the fifth threshold value X5, indicating that the wind resistance of the drilling tower of the drilling rig is normal during operation and the drilling operation continues.

[0043] In this embodiment, the evaluation module of the present invention effectively monitors the operating status of the equipment through multi-dimensional evaluation of each key part of the drilling device, triggers an alarm in time when an abnormal situation occurs, and helps the operator to take appropriate intervention measures to ensure the safety and efficiency of the drilling operation. At the same time, it increases the service life of the equipment, reduces the failure rate, and provides reliable protection for the drilling operation.

[0044] Example 5 See also Figure 1 Specifically, the evaluation module further includes a strategy unit, which is used to generate corresponding strategies according to the first alarm, the second alarm, the third alarm, the fourth alarm and the fifth alarm, including: The first strategy is generated based on the first alarm, including: reducing the current drill bit rotation speed by 10%-30%, reducing the current drill bit footage speed by 10%-15%, and increasing the current drilling fluid flow rate by 10%-15%. If the drilling pressure is still less than the first threshold value X1, the drilling operation is interrupted and the drill bit is replaced or maintained; The second strategy is generated based on the second alarm, including: reducing the current drill bit rotation speed by 10%-30%, reducing the current rotary head torque output by 5%-15%, and increasing the current drilling fluid flow rate by 10%-15%. If the value is still less than the second threshold value X2, the drilling operation is interrupted and the rotary head is replaced or maintained; The third strategy is generated based on the third alarm, including: reducing the current drill bit rotation speed by 10%-30%, reducing the current drill bit footage speed by 10%-15%, increasing the current drilling fluid flow rate by 10%-15%, and reducing the current drill pipe length by 2 meters to 3 meters. If it is still greater than the third threshold value X3, the drilling operation is interrupted and the drill pipe is replaced or maintained; The fourth strategy is generated according to the fourth alarm, including: reducing the current drilling fluid flow rate by 7%-13% to reduce the stress fluctuation of the connection part caused by the excessive drilling fluid, and reducing the current drill bit footage speed by 10%-15%. If the stress distribution coefficient of the connection part If it is still greater than the fourth threshold value X4, the drilling operation is interrupted and the drill pipe is replaced or maintained; The fifth strategy is generated according to the fifth alarm, including: reducing the current drill bit rotation speed by 10%-30%, reducing the current drill bit footage speed by 10%-15%, and installing support beams on the derrick foundation structure in stages, 1-2 support beams each time, until the derrick stress change coefficient is ≤ the fifth threshold value X5.

[0045] In this embodiment, the first strategy extends the service life of the drill bit, reduces maintenance costs, and reduces downtime by real-time monitoring and optimization of the drill bit status. The second strategy can effectively reduce the load fluctuation of the rotary head and improve its operating stability by reducing the output torque of the rotary head, adjusting the drill bit speed, and increasing the drilling fluid flow rate. If the state of the rotary head continues to be abnormal, the operation is interrupted in time and the rotary head is replaced or maintained to avoid further damage. The third strategy adjusts the drilling parameters and reduces the bending and deformation of the drill pipe to prevent drill pipe failure, reduce the risks in drilling operations, and ensure equipment safety. The fourth strategy ensures that the connection part maintains a stable stress state during operation to prevent equipment damage due to excessive stress and extend the service life of the equipment. The fifth strategy ensures its stability under wind pressure. This strategy effectively reduces the risk of instability of the drilling tower and reduces the risks during operation by installing support beams in stages.

[0046] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0047] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A drilling device operation performance test system based on data acquisition, characterized in that: include: The data acquisition module is used to collect the operating parameters of the drill bit, rotary head and drill pipe of the drilling device in real time during the drilling operation to form a multi-dimensional operating data group; The stress distribution acquisition module is used to install stress sensors at the connection between the drill bit, rotary head and drill rod to collect stress data of the connection points in real time and form a stress distribution data set of the connection points; and to install stress sensors at the base and top of the drilling tower to collect stress data of the drilling tower base. and the stress on the top of the derrick , forming a tower body bearing data group; The drilling environment collection module is used to collect the volume of broken rock per unit time in real time during the drilling operation. , rock type coefficient , rock density , drilling depth H and formation temperature , forming an environmental parameter group; The performance prediction and analysis module is used to establish a drilling device operation performance correlation analysis model based on the collected multi-dimensional operation data group, connection point stress distribution data group, tower body load data group and environmental parameter group using machine learning algorithms. After training the drilling device operation performance correlation analysis model, the following calculations are performed to obtain the drill bit efficiency coefficient: , Rotating head torque stability coefficient , drill pipe bending resistance coefficient , stress distribution coefficient of the connection part and the drilling tower stress variation coefficient ; Evaluation module for drilling efficiency factor , Rotating head torque stability coefficient , drill pipe bending resistance coefficient , stress distribution coefficient of the connection part and the drilling tower stress variation coefficient Evaluate them separately to obtain corresponding test results, and generate corresponding strategies based on the corresponding test results.

2. A drilling device operation performance test system based on data acquisition according to claim 1, characterized in that: The data acquisition module includes a drill bit data acquisition unit, a rotating head data acquisition unit, a drill rod data acquisition unit and a summary unit; The drill bit data acquisition unit is used to collect the drill bit operating parameters of the drilling device during the drilling operation. The drill bit operating parameters include: drill bit rotation speed , Drill bit axial load , wear rate , drill bit temperature rise change and the drill bit penetration rate per unit time ; The rotating head data acquisition unit is used to collect the operating parameters of the rotating head of the drilling device during the drilling operation. The rotating head operating parameters include: the instantaneous torque value of the rotating head collected for the jth time and average torque value ; The drill pipe data acquisition unit is used to collect the drill pipe operation parameters of the drilling device during the drilling operation. The drill pipe operation parameters include: the drill pipe axial load , Drill rod length , drill pipe vibration amplitude , drill pipe vibration frequency , Actual bending radius of drill pipe and maximum drill pipe stress ; The summarizing unit is used to summarize the data collected by the drill bit data collection unit, the rotating head data collection unit and the drill rod data collection unit to form a multi-dimensional operation data group.

3. A drilling device operation performance test system based on data acquisition according to claim 1, characterized in that: The stress distribution collection module includes a connection point stress distribution collection unit and a drilling tower body stress collection unit; The connection point stress distribution acquisition unit is used to install stress sensors at the connection between the drill bit, the rotary head and the drill rod to collect connection point stress data in real time to form a connection point stress distribution data group, which includes: the connection point axial stress of the sth point , radial stress and tangential stress ; The derrick tower body stress collection unit is used to install stress sensors on the derrick tower base and the tower top to collect the stress of the derrick tower base. and the stress on the top of the derrick , forming a tower body load data group, the tower body load data group also includes the following data: wind speed value at tower base , Wind speed value at the top of the drilling tower , the radius r of the derrick, the height h of the derrick, the elastic modulus E of the derrick material and the moment of inertia I of the derrick cross section.

4. A drilling device operation performance test system based on data acquisition according to claim 1, characterized in that: The performance prediction and analysis module includes a preprocessing unit and a model building unit; The preprocessing unit is used to preprocess the multidimensional operation data group, the connection point stress distribution data group, the tower body bearing data group and the environmental parameter group, and the preprocessing includes: denoising, smoothing and data normalization; The model building unit is used to establish a drilling device operation performance correlation analysis model using a machine learning algorithm, and after selecting features related to the drilling device operation performance from the multi-dimensional operation data group, the connection point stress distribution data group, the tower body bearing data group and the environmental parameter group, through mathematical transformation, calculate and obtain: drill bit efficiency coefficient , Rotating head torque stability coefficient , drill pipe bending resistance coefficient , stress distribution coefficient of the connection part and the drilling tower stress variation coefficient .

5. A drilling device operation performance test system based on data acquisition according to claim 2, characterized in that: The drill efficiency coefficient The method of obtaining is to obtain it through the following steps: S11. Extracting the drill bit rotation speed from the drill pipe operation parameters , Drill bit axial load , wear rate and drill bit temperature rise , which is used to calculate the energy consumption required to crush a unit volume of rock. The rock crushing specific energy is calculated by the following formula: : ； ； In the formula, represents the rock volume broken per unit time, D represents the drill bit diameter, Indicates the drilling speed per unit time, which is collected in real time by the drilling sensor in m / s; t represents the acquisition time. is the drill bit rotation speed, in rad / s, is the drill bit axial load; S12, and based on the rock crushing specific energy in S11 , the rock crushing efficiency is calculated by the following formula ; ； ； In the formula, represents the rock type coefficient, Represents the compressive strength of rock, Indicates the rock density, measured by a density sensor, in kg / m³; is the acceleration due to gravity, set to 9.8m / s², H is the drilling depth in meters; S13. Calculate the drill bit cutting energy consumption ratio : ； In the formula, Indicates the drilling speed per unit time. is the drill bit rotation speed, is the drill bit axial load; S14, extracting the formation temperature , drilling fluid flow rate and drill bit temperature changes The cooling efficiency ratio is calculated by the following formula : ； S15, according to the drill wear efficiency and the maximum allowable wear rate , calculate the drill material life factor , the formula is as follows: ； S16. Rock crushing efficiency calculated in S11-S15 , Drill cutting energy consumption ratio , Cooling efficiency ratio and drill material life factor , after dimensionless processing, the drill efficiency coefficient is calculated by the following formula : ； Among them, the drill cutting energy consumption ratio are in an inversely proportional relationship, so in the denominator.

6. A drilling device operation performance test system based on data acquisition according to claim 2, characterized in that: The rotating head torque stability coefficient The method of obtaining is to obtain it through the following steps: S21, extracting the j-th collected instantaneous torque value of the rotating head in the rotating head operating parameters in the multi-dimensional operating data group and Average torque value , the rotary head torque fluctuation ratio is calculated by the following formula : ； In the formula, represents the instantaneous torque value of the rotating head collected for the jth time, and M is the number of collection points of the instantaneous torque value of the rotating head; S22, combined with the drill bit rotation speed and drill pipe axial load , the torque stability coefficient of the rotating head is calculated by the following formula: : ； The drill pipe bending resistance coefficient The method of obtaining is to obtain it through the following steps: S31, extracting the actual bending radius of the drill rod in the drill rod operation parameters in the multi-dimensional operation data group and drill rod length , the drill pipe bending amplitude is calculated by the following formula : ； S32, extracting the vibration amplitude of the drill pipe , drill pipe vibration frequency , the drill pipe vibration index is calculated by the following formula : ； S33, comprehensive drill pipe bending amplitude 、 Maximum stress of drill pipe 、 Drilling depth H, drill pipe vibration index 、 Rock type coefficient and rock density ， The drill pipe bending resistance coefficient is calculated by the following formula : 。 7. A drilling device operation performance test system based on data acquisition according to claim 2, characterized in that: The stress distribution coefficient of the connection part The method of obtaining is to obtain it through the following steps: S41. Extract the connection point axial stress of the sth point in the connection point stress distribution data group , radial stress and tangential stress , the standard deviation of the axial stress at the connection point is calculated using the following formula: , standard deviation of radial stress at the connection point and the standard deviation of the tangential stress at the connection point : ； In the formula, represents the average value of the axial stress at the connection point, Indicates the number of sampling points of axial stress at the connection point; represents the average value of the radial stress at the connection point, Indicates the number of radial stress sampling points at the connection point; represents the average value of the tangential stress at the connection point, Indicates the number of sampling points of tangential stress at the connection point; The larger the standard deviation fluctuation, the more uneven the stress distribution at the connection; S42, based on the standard deviation of axial stress at the connection point , standard deviation of radial stress at the connection point and the standard deviation of the tangential stress at the connection point , the stress distribution coefficient of the connection part is calculated by the following formula : ； In the formula, , and Respectively represent the maximum standard deviation of the axial, radial and tangential stresses at the connection point, Represents the weight coefficient.

8. The drilling device operation performance test system based on data acquisition according to claim 2 is characterized in that: The drilling tower stress variation coefficient The method of obtaining is to obtain it through the following steps: S51, extracting the wind speed value at the tower base in the tower body bearing data group And the wind speed value at the top of the drilling tower , calculate the first wind pressure value and the second wind pressure value : ； ； In the formula, Indicates the air density; S52. In wind energy, wind speed increases with height. According to the first wind pressure value and the second wind pressure value , the wind pressure distance coefficient is calculated by the following formula : ； In the formula, They are the height from the ground to the base of the derrick and the height from the ground to the top of the derrick; S53, set the drilling tower to be cylindrical, the wind pressure acts on the outside of the drilling tower, and collect the side surface area of ​​the drilling tower , the calculation formula is: ； Where r is the radius of the drilling tower, and h is the height of the drilling tower; S54. Collect the elastic modulus E of the drilling tower material and the moment of inertia of the drilling tower cross section. , the derrick stiffness constant C is calculated by the following formula: ； S55, Extracting the stress of the derrick foundation and the stress on the top of the derrick , combined with the wind pressure distance coefficient obtained from S52-S54 , the lateral surface area of ​​the drilling tower and the derrick stiffness constant C, after dimensionless processing, the derrick stress variation coefficient is calculated by the following formula : ； In the formula, Indicates the stress of the derrick foundation and the stress on the top of the derrick Average value of: Drilling tower stress variation coefficient Used to indicate the relative change of stress on the drilling tower under wind pressure.

9. A drilling device operation performance test system based on data acquisition according to claim 1, characterized in that: The evaluation module includes a drill bit evaluation unit, a rotating head evaluation unit, a drill rod evaluation unit, a connection part evaluation unit and a drilling tower instability evaluation unit; The drill bit evaluation unit is used to set a first threshold value X1 and set the drill bit efficiency coefficient Compare with the first threshold value X1 to obtain a first test result, including: When the drill efficiency coefficient ≥ the first threshold value X1, indicating that the drilling head of the drilling device is in normal operation and the drilling operation continues; When the drill efficiency coefficient < the first threshold value X1, indicating that the operation state of the drill bit of the drilling device is abnormal, triggering the first alarm; The rotating head evaluation unit is used to set the second threshold value X2 and the rotating head torque stability coefficient Compare with the second threshold value X2 to obtain a second test result, including: When the rotating head torque stability coefficient ≥ the second threshold value X2, indicating that the rotary head of the drilling device is operating normally and the drilling operation continues; When the rotating head torque stability coefficient < the second threshold value X2, indicating that the operating state of the rotary head of the drilling rig is abnormal, triggering the second alarm; The drill rod evaluation unit is used to set a third threshold value X3 and set the drill rod bending resistance coefficient Compare with the third threshold value X3 to obtain a third test result, including: When the drill pipe bending resistance coefficient ≤ the third threshold value X3, indicating that the drilling rod of the drilling device is in normal operation and the drilling operation continues; When the drill pipe bending resistance coefficient > The third threshold value X3 indicates that the drilling rod of the drilling device is in an abnormal operating state, triggering the third alarm; The connection part evaluation unit is used to set a fourth threshold value X4 and to calculate the stress distribution coefficient of the connection part. Compare with the fourth threshold value X4 to obtain a fourth test result, including: When the stress distribution coefficient of the connection part ≤ the fourth threshold value X4, indicating that the stress distribution of the connection between the drill bit, the rotary head and the drill pipe of the drilling device during operation is uniform, and the drilling operation continues; When the stress distribution coefficient of the connection part > The fourth threshold value X4 indicates that the stress distribution at the connection between the drill bit, rotary head and drill pipe of the drilling device is uneven during operation, and there is a risk of deformation or rupture of the connection, triggering the fourth alarm; The drilling tower instability assessment unit is used to set a fifth threshold value X5 and set the drilling tower stress variation coefficient Compare with the fifth threshold value X5 to obtain a fifth test result, including: When the drilling tower stress variation coefficient > The fifth threshold value X5 indicates that the wind resistance of the drilling tower of the drilling rig is abnormal during operation, and there is a risk of instability, and the fifth alarm is issued; When the drilling tower stress variation coefficient ≤ the fifth threshold value X5, indicating that the wind resistance of the drilling tower of the drilling rig is normal during operation and the drilling operation continues.

10. A drilling device operation performance test system based on data acquisition according to claim 9, characterized in that: The evaluation module further includes a strategy unit, which is used to generate corresponding strategies according to the first alarm, the second alarm, the third alarm, the fourth alarm and the fifth alarm, including: The first strategy is generated based on the first alarm, including: reducing the current drill bit rotation speed by 10%-30%, reducing the current drill bit footage speed by 10%-15%, and increasing the current drilling fluid flow rate by 10%-15%. If the drilling pressure is still less than the first threshold value X1, the drilling operation is interrupted and the drill bit is replaced or maintained; The second strategy is generated based on the second alarm, including: reducing the current drill bit rotation speed by 10%-30%, reducing the current rotary head torque output by 5%-15%, and increasing the current drilling fluid flow rate by 10%-15%. If the value is still less than the second threshold value X2, the drilling operation is interrupted and the rotary head is replaced or maintained; The third strategy is generated based on the third alarm, including: reducing the current drill bit rotation speed by 10%-30%, reducing the current drill bit footage speed by 10%-15%, increasing the current drilling fluid flow rate by 10%-15%, and reducing the current drill pipe length by 2 meters to 3 meters. If it is still greater than the third threshold value X3, the drilling operation is interrupted and the drill pipe is replaced or maintained; The fourth strategy is generated according to the fourth alarm, including: reducing the current drilling fluid flow rate by 7%-13% to reduce the stress fluctuation of the connection part caused by the excessive drilling fluid, and reducing the current drill bit footage speed by 10%-15%. If the stress distribution coefficient of the connection part If it is still greater than the fourth threshold value X4, the drilling operation is interrupted and the drill pipe is replaced or maintained; The fifth strategy is generated according to the fifth alarm, including: reducing the current drill bit rotation speed by 10%-30%, reducing the current drill bit footage speed by 10%-15%, and installing support beams on the derrick foundation structure in stages, 1-2 support beams each time, until the derrick stress change coefficient is ≤ the fifth threshold value X5.

Images