Chip device for integrated control of electric workover rig

Abstract

The invention relates to the technical field of automatic control, in particular to a chip device for integrated control of an electric workover rig. According to the method and the device, through fine analysis of the job data, dynamic adjustment of the task priority in the job stage is realized, so that calculation resource allocation is more accurate, and the execution efficiency of the key task is improved. In the stress optimization process of the drill column, real-time monitoring on the lateral deviation trend is introduced, additional load calculation is conducted in combination with the stratum rebound influence, the overall stress of the drill column is more balanced, and the problem of abnormal stress concentration caused by lateral deviation is solved. The torque adjusting mechanism is dynamically optimized based on the stress distribution condition of the drill bit, it is ensured that the torque adjusting direction is matched with the stress trend of the drill bit, abnormal abrasion caused by uneven stress of the drill bit is reduced, and the drilling stability is improved. Trend analysis under various bit pressure conditions is adopted in drilling depth prediction, and in combination with a stratum permeability mapping relation, bit pressure adjustment is more reasonable, and the risk of sudden change of drill bit load is reduced.

Description

Technical Field

[0001] The present invention relates to the field of automation control technology, and in particular to a chip device for integrated control of an electric workover rig. Background Art

[0002] The field of automation control technology includes the design, development and application of various automation equipment and systems, aiming to improve production efficiency, reduce manual intervention and optimize operation processes through intelligent control means. The core content of this technology includes signal acquisition, data processing, control strategy execution and feedback regulation, usually involving sensor technology, embedded systems, industrial communication protocols and power electronic control.

[0003] Among them, the chip system for integrated control of electric well repair rigs refers to a special control system used in well repair operations. Its core lies in the real-time coordination and control of key components of the well repair rig through chip integration, including the collection and analysis of well repair rig operating status data, precise control of the power system, real-time adjustment of operating parameters and implementation of safety protection mechanisms. Specific methods include using embedded microcontrollers to complete motor drive control of well repair equipment, obtaining the working status of downhole tools and ground equipment through analog and digital signal interfaces, and combining customized logic operation circuits for data processing and correction.

[0004] In well repair operations, the existing technology has a solidification problem in the priority scheduling of operation tasks, and cannot be dynamically adjusted according to the changes in the operation stage, resulting in uneven allocation of computing resources, limited execution efficiency of some key tasks, and affecting the overall coordination of the operation. During the force adjustment of the drill string, due to the lack of accurate monitoring of the lateral deviation trend, the force correction mainly relies on static calculation, which is difficult to reflect the impact of formation rebound in real time, resulting in delayed force adjustment and increasing the risk of abnormal bending stress of the drill string. Torque adjustment relies on preset parameters for correction, and fails to fully consider the real-time force state of the drill bit, resulting in delayed torque adjustment, affecting drilling stability, and may cause eccentric wear or abnormal damage to the drill bit. The adjustment of drilling depth mainly relies on the empirical value calculation of fixed parameters, lacks fine modeling of formation permeability, resulting in low drilling pressure adjustment accuracy, and it is difficult to dynamically adapt to changes in different formation conditions. During data interaction, the data format conversion of the existing technology lacks pertinence, and the instruction flow is insufficiently optimized, resulting in delayed execution of control instructions, affecting the real-time response capability of drilling control, and reducing the overall collaborative control efficiency of the system. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and to propose a chip device for integrated control of an electric workover rig.

[0006] In order to achieve the above-mentioned object, the present invention adopts the following technical solution: A chip device for integrated control of an electric workover rig comprises: The operation phase scheduling module obtains the downhole equipment operation data, determines the current operation phase, adjusts the execution priority of the operation phase computing tasks, and generates the computing task priority allocation result; The drill string force correction module analyzes the lateral offset increment of the current task drill string within a specified time according to the task execution priority in the calculation task priority allocation result, corrects the overall force equilibrium state of the drill string, and generates a drill string lateral force correction result; The motor torque adjustment module analyzes the current force distribution of the drill bit according to the drill string lateral force correction result, determines the factors affecting the torque adjustment, adjusts the motor torque output direction, and generates the drill bit torque optimization result; The drilling depth prediction module obtains the drilling speed after torque optimization in the drill bit torque optimization result, analyzes the influence of drilling pressure adjustment on the drilling depth, predicts the drilling trend of the drill bit under various drilling pressure conditions in the future, and generates a drilling depth prediction result; The data interaction module converts the drilling depth prediction result into a format recognizable by the chip, performs linkage adjustment of the drilling depth and the drill bit propulsion rate, and generates an integrated control instruction flow for the electric workover rig.

[0007] As a further solution of the present invention, the calculation task priority allocation result includes a calculation task list, task importance weight, task scheduling parameters, and calculation resource allocation value; the drill string lateral force correction result specifically includes a drill string lateral offset correction value, a formation rebound additional load correction value, and a drill string force balance adjustment parameter; the drill bit torque optimization result includes a drill bit force balance parameter, a torque adjustment direction, and a drilling pressure optimization coefficient; the drilling depth prediction result specifically includes a drilling depth range, a drilling pressure adjustment parameter, a drill bit propulsion rate prediction value, and a formation permeability mapping relationship; the electric well repair machine integrated control instruction stream includes chip instruction formatting data, drilling depth control instructions, drill bit propulsion rate adjustment instructions, and data transmission verification information.

[0008] As a further solution of the present invention, the operation phase scheduling module includes: The operation status identification submodule obtains the downhole equipment status, wellhead load, motor torque, and fluid pressure data, determines whether the current operation stage is a pull-out, drill-in, circulation, stuck drill warning, or construction operation, analyzes the data processing requirements of each operation stage, determines the computing tasks required for the current stage, and generates the calculation requirements analysis results for the operation stage; The calculation task screening submodule is based on the calculation demand analysis results of the operation stage, using the formula: ; Computational tasks Resource priority , generate the calculation task screening and sorting values; in, Representative tasks The demand weight, Representative tasks The resource demand value, Represents the total value of weighted resources of all tasks, is the total number of tasks, is the index variable in the summation symbol, indicating the number of each task; The task priority adjustment submodule adjusts the computing task execution priority based on the computing task screening ranking value, updates the task scheduling parameters, and generates a computing task priority allocation result.

[0009] As a further solution of the present invention, the drill string force correction module includes: The lateral deviation monitoring submodule obtains the lateral deviation angle, formation rebound torque, and wellbore morphology change information of the current task drill string according to the task execution priority in the calculation task priority allocation result, compares the current lateral deviation angle of the drill string with the deviation data, calculates the deviation increment per unit time, determines the deviation trend according to the wellbore morphology change, analyzes the overall lateral force trend of the drill string within the specified time, and generates the drill string lateral deviation trend data; The additional load calculation submodule is based on the drill string lateral deviation trend data and adopts the formula: ; Calculate additional loads on the drill string ; in, The first Group data, Represents the total moment of all formation rebound moments, The number of data sets representing the formation rebound moment, that is, the total number of formation rebound moments involved, represents the influence coefficient of wellbore curvature, Represents the change angle of wellbore shape, represents the additional load component caused by the change of wellbore morphology, is the total number of angles of wellbore morphology change, is the index variable in the summation symbol, used to traverse all wellbore morphology change items; The force balance adjustment submodule determines whether the lateral deviation exceeds a predetermined safety range based on the additional load of the drill string, and sets a threshold standard for the safety deviation range. If exceeded, the force distribution of the drill string under various bending trends is analyzed, the bending trend of the drill string is adjusted, the overall force balance state of the drill string is corrected, and a lateral force correction result of the drill string is generated.

[0010] As a further solution of the present invention, the motor torque adjustment module includes: The drill bit force monitoring submodule obtains the lateral force and drill rod deflection information of the current task drill bit using the formula: ; Calculate the rate of change of lateral force ; in, and The time and The lateral force value of the drill bit at ; The torque adjustment optimization submodule compares the lateral force change rate with the drill pipe deflection change trend to determine whether the lateral force exceeds the force threshold, analyzes the current force distribution of the drill bit according to the drill string lateral force correction result, determines the factors affecting the torque adjustment, and adjusts the motor torque output direction to match the drill bit lateral force trend when the force threshold is exceeded to generate a drill bit torque optimization result.

[0011] As a further solution of the present invention, the drilling depth prediction module includes: The drilling speed analysis submodule obtains the drilling speed after torque optimization in the drill bit torque optimization result, analyzes the influence of drilling pressure adjustment on drilling depth, screens parameter variables affecting drilling depth, and obtains a set of parameters affecting drilling depth; The drilling depth calculation submodule is based on the drilling depth influencing parameter set and the permeability data record of each formation, using the formula: , ; Calculate the minimum value of the optimal drilling depth range for the current drill position and maximum value , get the optimal drilling depth range; in, It is The drill penetration rate corresponding to the set of drilling parameters, is the duration of the measurement period, is the number of drillings during the measurement period, is the correction term for the forces acting on the drill bit and the wellbore wall, is the range of variation of drill penetration rate; The drilling trend prediction submodule maps the pressure and permeability relationship curve based on the optimal drilling depth interval, analyzes the drilling trends under various drilling pressure conditions, and predicts the drilling depth distribution of the drill bit in the future drilling process to generate a drilling depth prediction result.

[0012] As a further solution of the present invention, the data interaction module includes: The data format conversion submodule converts the drilling depth prediction result into a chip recognizable format, parses the data field and matches the chip input standard, extracts key data items, including the drilling depth range, the drill bit propulsion load, and the drilling pressure adjustment range, repackages the data stream according to the chip instruction encoding specification to verify the data integrity and consistency, and generates packaged chip instruction data; The instruction transmission and linkage submodule calls the data transmission interface to write the packaged chip instruction data into the chip, performs linkage adjustment of the drilling depth and the drill bit propulsion rate, and generates an integrated control instruction stream for the electric workover machine.

[0013] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, through the refined analysis of the operation data, the dynamic adjustment of the task priority of the operation stage is realized, the computing resource allocation is more accurate, and the execution efficiency of key tasks is improved. In the process of optimizing the force of the drill string, real-time monitoring of the lateral deviation trend is introduced, and the additional load calculation is performed in combination with the influence of formation rebound, so that the overall force of the drill string is more balanced, and the abnormal stress concentration problem caused by lateral deviation is reduced. The torque adjustment mechanism is dynamically optimized based on the force distribution of the drill bit to ensure that the torque adjustment direction matches the force trend of the drill bit, reduce the abnormal wear caused by uneven force on the drill bit, and improve the drilling stability. The drilling depth prediction adopts trend analysis under various drilling pressure conditions, combined with the mapping relationship of formation permeability, to improve the drilling depth prediction accuracy, make the drilling pressure adjustment more reasonable, and reduce the risk of sudden changes in the drill bit load. During the data interaction process, the instruction flow is optimized through data format conversion, so that the drilling depth and the drill bit propulsion rate form a linkage adjustment, improve the real-time and response speed of the control system, and ensure the control accuracy during the operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 is a flow chart of the device of the present invention; Figure 2 It is a flow chart of the operation phase scheduling module of the present invention; Figure 3 It is a flow chart of the drill string force correction module of the present invention; Figure 4 This is a flow chart of the motor torque adjustment module of the present invention; Figure 5 A flowchart of a drilling depth prediction module of the present invention; Figure 6 It is a flow chart of the data interaction module of the present invention. DETAILED DESCRIPTION

[0015] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0016] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0017] See also Figure 1 , a chip device for integrated control of an electric workover rig comprises: The operation phase scheduling module obtains the downhole equipment operation data, determines the current operation phase, adjusts the execution priority of the operation phase computing tasks, and generates the computing task priority allocation result; The drill string force correction module analyzes the lateral offset increment of the current task drill string within the specified time according to the task execution priority in the calculation task priority allocation result, corrects the overall force equilibrium state of the drill string, and generates the drill string lateral force correction result; The motor torque adjustment module analyzes the current force distribution of the drill bit according to the correction result of the drill string lateral force, determines the factors affecting the torque adjustment, adjusts the motor torque output direction, and generates the drill bit torque optimization result; The drilling depth prediction module obtains the drilling speed after torque optimization in the drill bit torque optimization result, analyzes the influence of drilling pressure adjustment on the drilling depth, predicts the drilling trend of the drill bit under various drilling pressure conditions in the future, and generates drilling depth prediction results; The data interaction module converts the drilling depth prediction results into a format recognizable by the chip, performs linkage adjustment of the drilling depth and the drill bit propulsion rate, and generates an integrated control instruction flow for the electric workover rig; The calculation task priority allocation results include the calculation task list, task importance weight, task scheduling parameters, and calculation resource allocation value; the drill string lateral force correction results include the drill string lateral offset correction value, the formation rebound additional load correction value, and the drill string force balance adjustment parameter; the drill bit torque optimization results include the drill bit force balance parameter, torque adjustment direction, and drilling pressure optimization coefficient; the drilling depth prediction results include the drilling depth range, drilling pressure adjustment parameters, drill bit propulsion rate prediction value, and formation permeability mapping relationship; the electric well repair rig integrated control command stream includes chip command formatting data, drilling depth control commands, drill bit propulsion rate adjustment commands, and data transmission verification information.

[0018] See also Figure 2 ,The job phase scheduling module includes: The operation status identification submodule obtains the downhole equipment status, wellhead load, motor torque, and fluid pressure data, determines whether the current operation stage is a pull-out, drill-in, circulation, stuck drill warning, or construction operation, analyzes the data processing requirements of each operation stage, determines the computing tasks required for the current stage, and generates the calculation requirements analysis results for the operation stage; The downhole equipment status, wellhead load, motor torque, and fluid pressure data are obtained. Data are extracted from different monitoring points and time-series matching is performed to ensure the time synchronization of data acquisition. For example, during the drilling process, the wellhead load will fluctuate periodically due to the lifting of the drill string, and the motor torque will change with the movement of the drill bit. On this basis, the normal operating load fluctuation range is set in combination with historical operating data, and the real-time data is compared with the benchmark data to identify abnormal load changes. At the same time, the circulating fluid state is judged according to the fluid pressure change rate. When the pressure fluctuation exceeds the set threshold (for example, ±5%), it may indicate that the drill is stuck or the fluid channel is blocked in the well, thereby triggering further operation stage identification. See Table 1 for details.

[0019] Table 1 Wellhead load and motor torque threshold setting table: According to the real-time monitored equipment status data, the data is substituted into Table 1 for comparison. For example, if the current wellhead load is measured to be 520 kN, the motor torque is 2600 N·m, and the fluid pressure is 1.2 MPa, it matches the "drill stuck warning" stage. The system can further calculate the force change trend of the drill tool and trigger the response strategy, and then analyze the demand for data processing in this stage. For example, in the drill stuck warning stage, the lateral force of the drill string changes frequently, and it is necessary to increase the data processing tasks for the torque and drill string bending trend. In the drilling stage, it is necessary to focus on analyzing the influence of the drill string inertia load. Then, the system compares the demand for computing resources of each task, calculates the execution priority of the task list, and adjusts the arrangement order of tasks according to resource utilization, and finally generates the calculation demand parameters of the operation stage.

[0020] The calculation task screening submodule is based on the calculation demand analysis results of the operation stage, using the formula: ; Computational tasks Resource priority , generate the calculation task screening and sorting values; in, Representative tasks The demand weight, Representative tasks The resource demand value, Represents the total weighted resource value of all tasks. For example, if the current total computing resource value is 1000, the resource requirement of the drill string force analysis task is 600, the resource requirement of the torque adjustment calculation task is 300, and the resource requirement of the drilling depth prediction task is 100. The task requirement weight can be set according to the calculation amount, execution frequency and real-time requirements of the task. For example, tasks with large calculation amount can be given higher weights to obtain computing resources first, and tasks with higher real-time requirements also need to increase their priority. During the screening process, the system first sets the initial weight value of the task according to the different requirements of the operation stage. For example, the weight of the drill string force analysis is set to 0.6, the weight of the torque adjustment calculation is set to 0.3, and the weight of the drilling depth prediction is set to 0.1. is the total number of tasks, is the index variable in the summation symbol, indicating the number of each task. The specific data is shown in Table 2.

[0021] Table 2 Task weight setting table: The resource priority of each task is calculated as follows: ; ; ; According to the calculation results, the drill string force analysis task has the highest priority. Therefore, when allocating computing task resources, the computing resources for this task should be given priority, and finally the computing task screening ranking value should be generated.

[0022] The task priority adjustment submodule adjusts the computing task execution priority based on the computing task screening sorting value, updates the task scheduling parameters, and generates the computing task priority allocation result; Based on the calculation task screening sorting value, the task execution parameters are called, and the calculation task execution priority is adjusted to ensure the reasonable allocation of computing resources. In the process of computing resource allocation, the system allocates the computing resources available to each task based on the task demand weight and the total amount of computing resources. The resource share of the computing task is obtained by dividing the product of the task demand weight and the required computing resources by the total resource demand of all tasks. For example, if the current total amount of computing resources is 1000 units, and the computing resource requirements of tasks A, B, and C are 600, 300, and 100 units respectively, then the total resource demand is 1000 units. The resource share of each task is equal to the product of its resource demand and the task weight divided by the total resource demand. Based on this calculation, if the weight of task A is 0 .6, the weight of task B is 0.3, and the weight of task C is 0.1. The resource proportions of tasks A, B, and C can be calculated by multiplying their resource requirements by the task weights and then dividing by the total requirements. The calculation method for task A is 600×0.6 / (600×0.6+300×0.3+100×0.1). Similarly, the resource proportions of tasks B and C are calculated. The final result is that task A accounts for 67%, task B accounts for 25%, and task C accounts for 8%. Based on this calculation result, the system determines whether it is necessary to adjust the execution priority of the task. If the resource proportion of a task does not meet the minimum execution standard, the priority of the task is lowered, and the resources are tilted towards high-priority tasks. Finally, the task scheduling parameters are updated to generate the calculation task priority allocation result.

[0023] See also Figure 3 , the drill string force correction module includes: The lateral deviation monitoring submodule obtains the lateral deviation angle, formation rebound torque, and wellbore morphology change information of the current task drill string according to the task execution priority in the calculation task priority allocation result, compares the current lateral deviation angle of the drill string with the deviation data, calculates the deviation increment per unit time, determines the deviation trend according to the wellbore morphology change, analyzes the overall lateral force trend of the drill string within the specified time, and generates the drill string lateral deviation trend data; The lateral deviation angle, formation rebound torque, and wellbore morphology change information of the current task drill string are obtained. The collection of each data needs to be monitored in real time through the downhole sensor array. For example, the lateral deviation angle can be measured by the drill string inertial sensor and compared with the historical operation data to determine the displacement trend of the drill string within a specific time. The determination of the formation rebound torque depends on the drill string force monitoring system, which is mainly recorded by the downhole strain gauge under different drilling depth conditions. The strain data is analyzed through the rebound torque calculation model. The wellbore morphology change needs to obtain the wellbore profile data through the downhole imaging tool, and the wellbore eccentricity is calculated in combination with the drill string deviation trend. After the data is acquired, the system needs to compare the current lateral deviation angle with the historical deviation data to calculate the deviation increment per unit time. The process can be realized by calculating the displacement difference between the head and tail of the drill string in a continuous time period. For example, if the offset angle of the drill string changes from 5° to 7° within 1 minute, the increment per unit time is 2° / min. Subsequently, the system needs to judge the offset trend in combination with the wellbore morphology data. If the wellbore curvature is greater than the drill string bending radius, the deformation of the drill string structure under the wellbore morphology needs to be calculated. The calculation needs to consider the material properties of the drill string, the wellbore curvature and the external load. For example, in a well section with a wellbore curvature of 12° / m and a drill string bending radius of 10° / m, the drill string will undergo additional deformation. The deformation can be calculated using the stress-strain formula, thereby obtaining the additional deformation of the drill string structure, and then analyzing the overall lateral force trend of the drill string within a specified time, and generating the drill string lateral offset trend data.

[0024] The additional load calculation submodule is based on the drill string lateral deviation trend data and uses the formula: ; Calculate additional loads on the drill string ; in, The first The data set is obtained by measuring the drill string rebound moment at different well depths and calculating the mean rebound moment of each area based on the drill string force distribution; The total moment representing the rebound moment of all formations is obtained by accumulating the rebound moment data of each measuring point of the drill string. The number of data sets representing the formation rebound moment; represents the wellbore curvature influence coefficient, which is calculated by the wellbore deviation measurement value combined with the formation type. The experimental method includes measuring the inclination angle between the drill bit and the wellbore wall and combining it with the wellbore smoothness evaluation; Represents the angle of change in the wellbore morphology. In the downhole measurement system, the drill string inclination angle is measured by a gyroscope and its rate of change is calculated; represents the additional load component caused by the change of wellbore morphology, is the total number of angles of wellbore morphology change, It is the index variable in the summation symbol, which is used to traverse all wellbore morphology change items.

[0025] like The values ​​of the three data measurement points are 450N·m, 490N·m, and 530N·m respectively. The values ​​at the two measurement points are 0.8 and 1.1 respectively. If the angles are 3.5° and 4.2° respectively, the additional load is calculated as follows: ; The result shows that under the current downhole conditions, the additional load on the drill string is 1212.44N, which can be used for subsequent force adjustment analysis.

[0026] The force balance adjustment submodule determines whether the lateral deviation exceeds the predetermined safety range based on the additional load of the drill string, sets the threshold standard of the safety deviation range, and if it exceeds, analyzes the force distribution of the drill string under different bending trends, adjusts the bending trend of the drill string, corrects the overall force balance state of the drill string, and generates the lateral force correction result of the drill string; Determine whether the lateral deviation exceeds the predetermined safety range and set the threshold standard of the safety deviation range. The threshold is usually measured according to the wellbore stability experiment. For example, in a drilling project, the safety deviation range is determined to be 5° through the wellbore strength test. If the calculated lateral deviation is greater than this value, an adjustment operation is required. During the adjustment, it is necessary to analyze the force distribution of the drill string under different bending trends and determine the force state of the drill string. For example, the force of the drill string measured at an offset angle of 6° is 4000N, and the force measured at an offset angle of 4° is 3500N. The calculated force change trend can be used to formulate a drill string adjustment plan. During the adjustment process, it is necessary to optimize the bending trend of the drill string, correct the overall force balance state of the drill string, and finally calculate the equilibrium torque of the drill string in the wellbore after correction to generate the drill string lateral force correction result.

[0027] See also Figure 4 , the motor torque regulation module includes: The drill bit force monitoring submodule obtains the lateral force and drill rod deflection information of the current task drill bit. The lateral force can be measured by the three-axis force sensor installed on the drill bit, and the drill rod deflection can be obtained by the laser rangefinder installed on the drill rod. The formula is: ; Calculate the rate of change of lateral force ; in, and The time and The lateral force value of the drill bit at the position is in N, and the time interval is Measured in seconds.

[0028] For example, in a drilling operation, the lateral force on a drill bit increases from 850N to 1300N within 5 seconds, then the calculation is: After calculating the lateral force change rate, the system compares the historical force data and determines whether the force change has an abnormal trend. For example, within three consecutive time periods, if If it is continuously greater than 80N / s, it can be judged that the force change is abnormal, and the lateral force change rate data can be finally obtained.

[0029] The torque adjustment optimization submodule compares the change trend of the drill pipe deflection based on the lateral force change rate to determine whether the lateral force exceeds the force threshold. It analyzes the current force distribution of the drill bit according to the correction result of the drill string lateral force, determines the factors affecting the torque adjustment, and adjusts the motor torque output direction to match the lateral force trend of the drill bit when the force threshold is exceeded, generating the drill bit torque optimization result. Based on the lateral force change rate data, the calculated lateral force change rate is 90N / s. It is necessary to further compare the drill pipe deflection change trend. The drill pipe deflection is obtained through the drill pipe deformation monitoring system. The system installs deformation sensors at different positions of the drill pipe to measure the bending degree of the drill pipe under stress. For example, in a certain measurement, the drill pipe deflection increases from 1.2° to 2.8°, and the deflection increases by 1.6°. The system calculates the correlation between the lateral force change rate and the deflection change trend to determine whether the stress trend is normal. If the lateral force change rate is greater than 80N / s and the deflection increase exceeds 1.5° in a short period of time (such as 5 seconds), it indicates that the drill pipe is in a large bending stress state, and it is necessary to further determine whether it exceeds the stress threshold. The stress threshold is set according to the drill pipe material properties and drilling conditions. For example, the ultimate deflection of a certain model of drill pipe is set to 3.5°. If the measured deflection exceeds 3.5°, or the current deflection change trend combined with the force change rate is estimated to exceed 3.5° within 10 seconds, it can be judged that the force is exceeded. The system analyzes the current force distribution of the drill bit according to the lateral force correction result of the drill string, and calculates its force direction in combination with the drill bit posture data to determine the key factors affecting the torque adjustment, including drill pipe rigidity, well wall friction coefficient, drill bit offset angle, etc. If the calculated lateral force change rate is 90N / s and the current drill pipe deflection has reached 2.8°, it is predicted that the deflection may increase to 4.0° in 5 seconds, exceeding the stress threshold. At this time, the motor torque output direction needs to be adjusted. The system adjusts the motor torque to match the lateral force trend of the drill bit, optimizes the torque transmission method, and avoids additional deformation of the drill pipe due to uneven force. For example, if the current torque value is measured to be 4600N·m, and the normal torque range of the drill bit in hard formations is 4000-4500N·m, the part exceeding 4500N·m will cause additional lateral force. At this time, the motor torque is adjusted to 4400N·m, and the torque output direction is optimized to ensure stable output in the direction with the least impact of well wall friction, thereby reducing the lateral force change trend of the drill pipe and ensuring stable torque during drilling, and finally generating the drill bit torque optimization result.

[0030] See also Figure 5 , the drilling depth prediction module includes: The drilling speed analysis submodule obtains the drilling speed after torque optimization in the drill bit torque optimization result, analyzes the influence of drilling pressure adjustment on drilling depth, screens parameter variables affecting drilling depth, and obtains the parameter set affecting drilling depth; The drilling speed after torque optimization in the drill bit torque optimization result is obtained, and the drill bit rotation rate, drilling pressure change and downhole cuttings removal rate are measured. When measuring the drill bit rotation rate, the drilling rig control system will record the angular velocity of the drill bit per unit time. For example, within a period of time, the drill bit angular velocity is measured to be 120rpm, that is, 120 rotations per minute. The linear velocity and torque change of the drill bit can be deduced from this value. The drilling pressure data is measured by the bottom hole sensor to record the actual force of the drill bit at the bottom of the hole. For example, in a drilling operation, the drilling pressure is measured to be 80kN. The downhole cuttings removal rate is fed back by the mud circulation system. The efficiency of cuttings removal is measured by calculating the volume change rate of cuttings carried by the mud. For example, within 10 minutes, the mud carrying cuttings is measured. The volume change is 15L, and the cuttings removal rate is 1.5L / min. After the system records the above parameters, it compares the changes in drilling speed under different drilling pressure conditions. For example, when the drilling pressure is 80kN, the drilling speed is measured to be 3.2m / h, and when it is 100kN, the drilling speed increases to 4.1m / h. The system screens the key parameters that affect the drilling depth, including drilling pressure, rotation rate, formation hardness, mud density, etc., and calculates the influence weights of these parameters. For example, under certain formation conditions, the influence weight of drilling pressure is determined to be 0.4, the weight of rotation rate is determined to be 0.3, the weight of formation hardness is determined to be 0.2, and the weight of mud density is determined to be 0.1. Finally, the dominant variables are extracted, and the parameter set affecting the drilling depth is obtained.

[0031] The drilling depth calculation submodule is based on the drilling depth influencing parameter set and the permeability data records of each formation, using the formula: , ; Calculate the minimum value of the optimal drilling depth range for the current drill position and maximum value , get the optimal drilling depth range; in, It is The drill penetration rate corresponding to the set drilling parameters, in m / h (meters per hour); is the duration of the measurement period in h (hours); is the number of drillings during the measurement period (used for normalization calculation), dimensionless; is the correction term for the force acting on the drill bit and the well wall, in m, used to correct the drilling depth; It is the variation range of drill penetration rate, expressed in m / h, and is used to calculate the maximum drilling depth.

[0032] If the drill penetration rate at three measuring points is measured in a certain well section, 2.5m / h, 3.0m / h, 3.2m / h respectively, measurement period Set to 2 hours, measure the number of drillings during the period =3, correction term for drill bit and wellbore force Set to 0.3m, drill penetration rate range Set to 0.5m / h.

[0033] Calculate the minimum drilling depth: ; Calculate the maximum drilling depth: ; The final results show that the optimal drilling depth range is [5.5m, 7.1m], that is, the current drilling depth of the drill bit in this well section should be controlled between 5.5m and 7.1m to ensure stable drilling and reduce well wall damage.

[0034] The drilling trend prediction submodule maps the pressure and permeability relationship curve based on the optimal drilling depth interval, analyzes the drilling trend under various drilling pressure conditions, and predicts the drilling depth distribution of the drill bit in the future drilling process to generate drilling depth prediction results; The data of the optimal drilling depth interval [5.5m, 7.1m] is called to further establish the relationship curve between drilling pressure and permeability, and to determine the permeability parameters corresponding to different drilling pressure values. For example, when the drilling pressure is 80kN, the permeability is measured to be 0.25D, and when the drilling pressure is 100kN, the permeability is measured to be 0.18D. The system predicts the drilling trend based on these data. Combined with the drilling depth calculation results, the system needs to analyze the future drilling trend under different drilling pressure conditions and calculate the drilling rate under different drilling pressures in the optimal drilling depth interval [5.5m, 7.1m]. The drilling rate is the rate at which the drill bit will move forward and the depth of the drill bit will be predicted in subsequent drilling. It is greatly affected by the drilling pressure. For example, under the drilling pressure of 90kN, the actual measured is 3.8m / h, and when the drilling pressure is increased to 95kN, Increase to 4.1m / h. Based on this change trend, the system simulates the future drilling pressure change and calculates the future drilling depth range under different drilling pressures. Assuming that the current drill has drilled to 5.5m and plans to continue drilling in the next 2 hours, according to the measured Data calculation of future drilling depth: , .in, and They represent the minimum and maximum values ​​of the future drilling depth range, in meters; and The minimum and maximum drill penetration rates corresponding to the current drilling depth range, in m / h; is the prediction period, in hours. Assuming the drilling pressure ranges from 85 kN to 100 kN, the drill penetration rate measured under different drilling pressures is The values ​​are as follows: 85kN, m / h; 100kN, m / h. Then bring it into the calculation: , Finally, the predicted drilling depth range in the next 2 hours is [12.5m, 16.1m]. This value can be used to formulate a drilling pressure adjustment plan. The system will further analyze the impact of different drilling pressure adjustment strategies on future drilling depths and generate drilling depth prediction results.

[0035] See also Figure 6 , the data interaction module includes: The data format conversion submodule converts the drilling depth prediction results into a format recognizable by the chip, parses the data fields and matches the chip input standards, extracts key data items, including the drilling depth range, drill bit propulsion load, and drilling pressure adjustment range, repackages the data stream according to the chip instruction encoding specification, verifies the data integrity and consistency, and generates packaged chip instruction data; First, the original drilling data is formatted. For example, the drilling depth interval data is converted from a floating point format to a 16-bit integer format to reduce storage occupancy. The drill bit propulsion load is stored in kN, and the load change rate is quantified. The drilling pressure adjustment amplitude is normalized according to the drilling pressure reference value and stored. Subsequently, the data stream is repackaged according to the chip instruction encoding specification. For example, the instruction header contains an 8-bit data identifier, followed by data fields arranged in sequence, including a 16-bit drilling depth interval, a 32-bit propulsion load, and a 16-bit drilling pressure adjustment amplitude. The data integrity and consistency are verified, and the data check value is calculated using CRC (cyclic redundancy check). If the calculated check value is consistent with the stored check value, the data conversion is successful, otherwise the re-conversion process is triggered. Finally, the packaged chip instruction data is obtained.

[0036] The instruction transmission and linkage submodule calls the data transmission interface to write the packaged chip instruction data into the chip, performs linkage adjustment of the drilling depth and the drill bit propulsion rate, and generates an integrated control instruction stream for the electric workover machine; Call the packaged chip instruction data, load the data transmission interface, write the converted instructions into the chip, parse the instruction structure, and match the chip storage address. For example, store the drilling depth interval data into the 0x1000 address of the chip control register, store the drill bit propulsion load into the 0x1002 address, and store the drilling pressure adjustment range into the 0x1004 address. After the data is written, trigger the chip's self-test function to confirm data integrity. The system calls the control interface to perform the linkage adjustment of the drilling depth and the drill bit propulsion rate, and calculate the propulsion rate adjustment ratio. For example, if the drilling pressure adjustment range exceeds the preset threshold, the propulsion rate is reduced by 5%. If the drilling depth interval exceeds the set range, the propulsion is paused and the drilling pressure is adjusted. After the linkage adjustment is completed, the electric well repair machine integrated control instruction stream is generated.

[0037] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A chip device for integrated control of an electric workover rig, characterized in that: The device comprises: The operation phase scheduling module obtains the downhole equipment operation data, determines the current operation phase, adjusts the execution priority of the operation phase computing tasks, and generates the computing task priority allocation result; The drill string force correction module analyzes the lateral offset increment of the current task drill string within a specified time according to the task execution priority in the calculation task priority allocation result, corrects the overall force equilibrium state of the drill string, and generates a drill string lateral force correction result; The motor torque adjustment module analyzes the current force distribution of the drill bit according to the drill string lateral force correction result, determines the factors affecting the torque adjustment, adjusts the motor torque output direction, and generates the drill bit torque optimization result; The drilling depth prediction module obtains the drilling speed after torque optimization in the drill bit torque optimization result, analyzes the influence of drilling pressure adjustment on the drilling depth, predicts the drilling trend of the drill bit under various drilling pressure conditions in the future, and generates a drilling depth prediction result; The data interaction module converts the drilling depth prediction result into a format recognizable by the chip, performs linkage adjustment of the drilling depth and the drill bit propulsion rate, and generates an integrated control instruction flow for the electric workover rig.

2. The chip device for integrated control of an electric workover rig according to claim 1, characterized in that: The calculation task priority allocation result includes a calculation task list, task importance weight, task scheduling parameters, and calculation resource allocation value; the drill string lateral force correction result specifically includes a drill string lateral offset correction value, a formation rebound additional load correction value, and a drill string force balance adjustment parameter; the drill bit torque optimization result includes a drill bit force balance parameter, a torque adjustment direction, and a drilling pressure optimization coefficient; the drilling depth prediction result specifically includes a drilling depth range, a drilling pressure adjustment parameter, a drill bit propulsion rate prediction value, and a formation permeability mapping relationship; the electric well repair machine integrated control instruction stream includes chip instruction formatting data, drilling depth control instructions, drill bit propulsion rate adjustment instructions, and data transmission verification information.

3. The chip device for integrated control of an electric workover rig according to claim 2, characterized in that: The job phase scheduling module includes: The operation status identification submodule obtains the downhole equipment status, wellhead load, motor torque, and fluid pressure data, determines whether the current operation stage is a pull-out, drill-in, circulation, stuck drill warning, or construction operation, analyzes the data processing requirements of each operation stage, determines the computing tasks required for the current stage, and generates the calculation requirements analysis results for the operation stage; The calculation task screening submodule is based on the calculation demand analysis results of the operation stage, using the formula: ； Computational tasks Resource priority , generate the calculation task screening and sorting values; in, Representative tasks The demand weight, Representative tasks The resource demand value, Represents the total value of weighted resources of all tasks, is the total number of tasks, is the index variable in the summation symbol, indicating the number of each task; The task priority adjustment submodule adjusts the computing task execution priority based on the computing task screening ranking value, updates the task scheduling parameters, and generates a computing task priority allocation result.

4. The chip device for integrated control of an electric workover rig according to claim 3, characterized in that: The drill string force correction module comprises: The lateral deviation monitoring submodule obtains the lateral deviation angle, formation rebound torque, and wellbore morphology change information of the current task drill string according to the task execution priority in the calculation task priority allocation result, compares the current lateral deviation angle of the drill string with the deviation data, calculates the deviation increment per unit time, determines the deviation trend according to the wellbore morphology change, analyzes the overall lateral force trend of the drill string within the specified time, and generates the drill string lateral deviation trend data; The additional load calculation submodule is based on the drill string lateral deviation trend data and adopts the formula: ； Calculate additional loads on the drill string ; in, The first Group data, Represents the total moment of all formation rebound moments, The number of data sets representing the formation rebound moment, that is, the total number of formation rebound moments involved, represents the influence coefficient of wellbore curvature, Represents the change angle of wellbore shape, represents the additional load component caused by the change of wellbore morphology, is the total number of angles of wellbore morphology change, is the index variable in the summation symbol, used to traverse all wellbore morphology change items; The force balance adjustment submodule determines whether the lateral deviation exceeds a predetermined safety range based on the additional load of the drill string, and sets a threshold standard for the safety deviation range. If exceeded, the force distribution of the drill string under various bending trends is analyzed, the bending trend of the drill string is adjusted, the overall force balance state of the drill string is corrected, and a lateral force correction result of the drill string is generated.

5. The chip device for integrated control of an electric workover rig according to claim 4, characterized in that: The motor torque adjustment module comprises: The drill bit force monitoring submodule obtains the lateral force and drill rod deflection information of the current task drill bit using the formula: ； Calculate the rate of change of lateral force ; in, and The time and The lateral force value of the drill bit at ; The torque adjustment optimization submodule compares the lateral force change rate with the drill pipe deflection change trend to determine whether the lateral force exceeds the force threshold, analyzes the current force distribution of the drill bit according to the drill string lateral force correction result, determines the factors affecting the torque adjustment, and adjusts the motor torque output direction to match the drill bit lateral force trend when the force threshold is exceeded to generate a drill bit torque optimization result.

6. The chip device for integrated control of an electric workover rig according to claim 5, characterized in that: The drilling depth prediction module comprises: The drilling speed analysis submodule obtains the drilling speed after torque optimization in the drill bit torque optimization result, analyzes the influence of drilling pressure adjustment on drilling depth, screens parameter variables affecting drilling depth, and obtains a set of parameters affecting drilling depth; The drilling depth calculation submodule is based on the drilling depth influencing parameter set and the permeability data record of each formation, using the formula: ， ； Calculate the minimum value of the optimal drilling depth range for the current drill position and maximum value , get the optimal drilling depth range; in, It is The drill penetration rate corresponding to the set of drilling parameters, is the duration of the measurement period, is the number of drillings during the measurement period, is the correction term for the forces acting on the drill bit and the wellbore wall, is the range of variation of drill penetration rate; The drilling trend prediction submodule maps the pressure and permeability relationship curve based on the optimal drilling depth interval, analyzes the drilling trends under various drilling pressure conditions, and predicts the drilling depth distribution of the drill bit in the future drilling process to generate a drilling depth prediction result.

7. The chip device for integrated control of an electric workover rig according to claim 6, characterized in that: The data interaction module includes: The data format conversion submodule converts the drilling depth prediction result into a chip recognizable format, parses the data field and matches the chip input standard, extracts key data items, including the drilling depth range, the drill bit propulsion load, and the drilling pressure adjustment range, repackages the data stream according to the chip instruction encoding specification to verify the data integrity and consistency, and generates packaged chip instruction data; The instruction transmission and linkage submodule calls the data transmission interface to write the packaged chip instruction data into the chip, performs linkage adjustment of the drilling depth and the drill bit propulsion rate, and generates an integrated control instruction stream for the electric workover machine.

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