Drilling equipment working parameter optimization method, electronic equipment and storage medium

Abstract

The invention provides a drilling equipment working parameter optimization method, electronic equipment and a storage medium, and the method comprises the steps: obtaining drilling equipment working parameters and construction environment information, and obtaining a multi-physics field feature tensor and drill propulsive force based on the drilling equipment working parameters and the construction environment information, the drilling equipment working parameters comprise drill rod vibration parameters, drill bit temperature field parameters and drilling equipment energy consumption parameters, and the construction environment information comprises rock stratum strain distribution information; chaos optimization calculation is carried out based on the drill bit pushing force to obtain an iterated chaos sequence, and multi-objective optimization calculation is carried out based on the multi-physical field feature tensor and the chaos sequence to obtain an optimization result; and outputting adjustment parameters related to the working parameters of the drilling equipment based on the optimization result, and adjusting the working parameters of the drilling equipment according to the adjustment parameters.

Description

Technical Field

[0001] This application relates to the field of drilling operations, and in particular to a method for optimizing the operating parameters of drilling equipment, electronic equipment, and storage medium. Background Technology

[0002] The operating environment for drilling equipment is complex and variable, with high uncertainties in rock hardness, borehole stability, gas content, and hydrogeological conditions. Against this backdrop, the operating parameters of the drilling equipment (such as drilling pressure, rotational speed, pump pressure, and feed rate) directly determine the efficiency of the drilling process, the lifespan of the drilling tools, the quality of the borehole, and the safety of the operation.

[0003] However, in related technologies, the working condition perception of underground drilling systems in coal mines is still relatively weak. The working condition perception of drilling equipment relies only on a single sensor or simple data superposition, which leads to a one-sided adjustment of the parameters of drilling equipment. Summary of the Invention

[0004] In view of this, this application provides a method for optimizing the working parameters of drilling equipment, an electronic device, and a storage medium, which optimizes the adjustment of the working parameters of drilling equipment and indirectly improves the efficiency of drilling operations.

[0005] In a first aspect, embodiments of this application provide a method for optimizing the operating parameters of drilling equipment, including: The drilling equipment operating parameters and construction environment information are obtained, and multiphysics characteristic tensors and drill bit propulsion force are obtained based on the drilling equipment operating parameters and construction environment information. The drilling equipment operating parameters include drill rod vibration parameters, drill bit temperature field parameters and drilling equipment energy consumption parameters. The construction environment information includes rock strain distribution information. Chaotic optimization calculations are performed based on the drill bit thrust to obtain an iterated chaotic sequence. Multi-objective optimization calculations are then performed based on the multi-physics feature tensor and the chaotic sequence to obtain the optimization result. Based on the optimization results, adjustment parameters for the drilling equipment's operating parameters are output, and the drilling equipment's operating parameters are adjusted according to the adjustment parameters.

[0006] In the above technical solution, the chaotic optimization calculation is achieved through a first formula, which is: ; in, For the first The chaotic sequence generated in the next iteration. For the first The chaotic sequence generated in the next iteration. The chaotic parameters of the mapping, The drill bit thrust The weighting coefficients, This indicates the current drill bit thrust. The Euclidean norm, This indicates the maximum permissible drill bit thrust. The Euclidean norm.

[0007] In the above technical solution, the multi-objective optimization calculation is achieved through a second formula, which is:

[0008] in, Let this be the first objective function; The second objective function; The first objective function In the middle, used to balance the propulsion term Weighting coefficients; The first objective function In, used to balance the multiphysics characteristic tensor gradient term Weighting coefficients; Represents the multiphysics characteristic tensor The gradient; The multiphysics characteristic tensor The Euclidean norm; This represents the critical threshold parameter related to drill pipe deflection, abrupt changes in rock strain, and the temperature field distribution of the drill bit. The second objective function In the middle, used to balance energy consumption items Weighting coefficients; This indicates the current drilling energy consumption; Indicates baseline energy consumption; The second objective function In the middle, used to balance the temperature rise term Weighting coefficients; This indicates the temperature rise of the drill bit; This indicates the permissible temperature rise threshold.

[0009] In the above technical solution, the step of performing multi-objective optimization calculations based on the multi-physics feature tensor and the chaotic sequence using the second formula to obtain the optimization result includes: Based on a pre-defined mapping rule, the chaotic sequence is converted into a set of initial candidate values ​​for the working parameters of the drilling equipment; the initial candidate values ​​and the multiphysics feature tensor are used as inputs for multi-objective optimization calculations, and based on the second formula, multiple sets of function values ​​are obtained, each set of function values ​​including a first objective function value and a second objective function value; For each group of function values, the gradient values ​​of the first objective function value and the second objective function value are calculated to obtain the first gradient value and the second gradient value, and the group of function values ​​is filtered based on the first gradient value and the second gradient value; Gain calculation is performed based on the function value set obtained after filtering to obtain the optimization result.

[0010] In the above technical solution, the step of outputting adjustment parameters regarding the operating parameters of the drilling equipment based on the optimization results includes: Based on the optimization results, the drill pipe adjustment coefficient is obtained; Based on the drilling equipment's operating parameters, the drill pipe adjustment coefficient, and the preset drill pipe adjustment parameter calculation formula, the adjustment parameters for the drilling equipment's operating parameters are obtained.

[0011] In the above technical solution, after outputting adjustment parameters for the drilling equipment's operating parameters based on the optimization results, and adjusting the drilling equipment's operating parameters according to the adjustment parameters, the drilling equipment operating parameter optimization method further includes: Based on the multiphysics feature tensor, security characterization parameters are extracted; The working state of the drilling equipment is adjusted according to the safety characterization parameters and the corresponding preset safety characterization parameter thresholds. The safety characterization parameters include drilling equipment operating parameters and construction environment information. Each preset safety characterization parameter threshold includes an early warning threshold and a shutdown threshold, and the early warning threshold is less than the shutdown threshold.

[0012] In the above technical solution, adjusting the working state of the drilling equipment according to the safety characterization parameters and the corresponding preset safety characterization parameter thresholds includes: When at least one of the safety characterization parameters exceeds the corresponding warning threshold but does not reach the corresponding shutdown threshold, the preset weight coefficient in the multi-objective optimization calculation is adjusted. When at least one of the safety characterization parameters exceeds the corresponding shutdown threshold, the drilling equipment is controlled to stop working.

[0013] In the above technical solution, the method for optimizing the operating parameters of the drilling equipment further includes: The drilling equipment operating parameter optimization method presets a period for each step, wherein the period for generating the multiphysics feature tensor is set to be... ; The period for completing one chaotic optimization calculation and one multi-objective optimization calculation and outputting the optimization result is set to be [period]. ; The period for outputting adjustment parameters regarding the operating parameters of the drilling equipment based on the optimization results is set to be... ; The cycle for adjusting the working state of the drilling equipment based on the safety characterization parameters and the corresponding preset safety characterization parameter thresholds is set as follows: , satisfy: ; and ; in, The maximum response time is the set maximum response time of the drilling equipment operating parameter optimization method.

[0014] Secondly, embodiments of this application provide a drilling equipment operating parameter optimization device, comprising: The first module is used to acquire drilling equipment operating parameters and construction environment information, and to obtain multiphysics characteristic tensors and drill bit propulsion force based on the drilling equipment operating parameters and construction environment information. The drilling equipment operating parameters include drill rod vibration parameters, drill bit temperature field parameters and drilling equipment energy consumption parameters. The construction environment information includes rock stratum strain distribution information. The second module is used to perform chaotic optimization calculations based on the drill bit driving force to obtain an iterated chaotic sequence, and to perform multi-objective optimization calculations based on the multi-physics field feature tensor and the chaotic sequence to obtain the optimization result. The third module is used to output adjustment parameters for the working parameters of the drilling equipment based on the optimization results, and to adjust the working parameters of the drilling equipment according to the adjustment parameters.

[0015] In the above technical solution, the drilling equipment operating parameter optimization device also includes: The fourth module is used to extract security characterization parameters based on the multiphysics feature tensor. The fifth module is used to adjust the working state of the drilling equipment according to the safety characterization parameters and the corresponding preset safety characterization parameter thresholds; The safety characterization parameters include drilling equipment operating parameters and construction environment information. Each preset safety characterization parameter threshold includes an early warning threshold and a shutdown threshold, and the early warning threshold is less than the shutdown threshold.

[0016] Thirdly, embodiments of this application provide an electronic device including a processor and a memory, the memory storing a program or instructions that can run on the processor, the program or instructions implementing the steps of the method as described in the first aspect when executed by the processor.

[0017] Fourthly, embodiments of this application provide a readable storage medium on which a program or instructions are stored, which, when executed by a processor, implement the steps of the method as described in the first aspect.

[0018] Fifthly, embodiments of this application provide a chip including a processor and a communication interface, the communication interface being coupled to the processor, the processor being used to run programs or instructions to implement the method as described in the first aspect.

[0019] In a sixth aspect, embodiments of this application provide a computer program product stored in a storage medium, which is executed by at least one processor to implement the method as described in the first aspect.

[0020] The drilling equipment operating parameter optimization method provided in this application deploys multiple sensing elements, enabling the control system to simultaneously acquire information from two dimensions: drilling equipment operating parameters and construction environment information. Furthermore, it utilizes tensor product operations to deeply fuse different physical quantities in space and time, generating a multiphysics feature tensor that characterizes the coupling relationships between various physical fields. This solves the problem of limited perception of drilling equipment conditions caused by traditional drilling systems relying on single sensors or simple data superposition, achieving comprehensive, in-depth, and real-time perception of drilling equipment operating parameters and the construction environment. Chaotic optimization calculations leverage the ergodicity and randomness of the generated chaotic sequences to enhance the algorithm's global search capability, avoiding getting trapped in local optima and finding a better combination of drilling equipment operating parameters adapted to complex construction environments. Multi-objective optimization can simultaneously balance multiple conflicting objectives such as efficiency, safety, energy consumption, and temperature rise, ultimately outputting a comprehensive optimization result, thereby improving the drilling efficiency, economy, and safety of the drilling equipment.

[0021] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0022] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings: Figure 1 This illustration shows one of the flowcharts of a method for optimizing the working parameters of drilling equipment according to an embodiment of this application; Figure 2 This is a second schematic flowchart illustrating a method for optimizing the working parameters of drilling equipment according to an embodiment of this application; Figure 3This paper shows a structural block diagram of a drilling equipment operating parameter optimization device according to an embodiment of the present application; Figure 4 A structural block diagram of an electronic device according to an embodiment of this application is shown. Detailed Implementation

[0023] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0024] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0025] The drilling equipment working parameter optimization method provided in this application will be described in detail below with reference to the accompanying drawings and through specific embodiments and application scenarios. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0026] This application provides a method for optimizing the operating parameters of drilling equipment. In this embodiment, the control system of the drilling equipment is used as the example to illustrate the method. The control system of the drilling equipment is communicatively connected to multiple sensors mounted on the equipment. After collecting sensing signals, the sensors send these signals to the control system. Upon receiving the sensing signals, the control system processes them and adjusts the operating parameters or the operating state of the drilling equipment. The drilling equipment can be used in construction environments such as underground coal mines. The drilling equipment includes drilling tools, which include drill bits and drill rods.

[0027] Please refer to Figure 1 The drilling equipment operating parameter optimization method provided in this application includes: Step 101: The control system acquires the drilling equipment operating parameters and construction environment information, and obtains the multiphysics characteristic tensor and drill bit propulsion force based on the drilling equipment operating parameters and construction environment information. The drilling equipment operating parameters include drill rod vibration parameters, drill bit temperature field parameters and drilling equipment energy consumption parameters, and the construction environment information includes rock strain distribution information.

[0028] Specifically, the sensors mounted on drilling equipment include triaxial vibration sensors, distributed fiber optic strain sensors, and temperature sensors. Triaxial vibration sensors are typically installed at specific locations on the drill pipe or close to the drill bit. These sensors can monitor and acquire vibration parameters of the drill pipe in the X, Y, and Z directions in real time. These vibration parameters reflect the stability of the drill pipe, the interaction mode between the drill bit and the rock (such as impact and abrasion), and possible abnormal vibrations (such as resonance and drill pipe vibration). Vibration parameters can be acceleration, velocity, or displacement signals. Fiber optic strain sensors, by deploying fiber optic grating arrays on the drill string or specific detection devices, can continuously and in real-time measure the strain at multiple points along the fiber optic path, thereby acquiring high spatial resolution rock deformation information and generating the rock strain distribution around or in front of the drill pipe in the area to be drilled. Temperature sensors can be thermocouples, PTC (Positive Temperature Coefficient) thermistors, or NTC (Negative Temperature Coefficient) thermistors. These sensors can collect temperature data at specific key points on the drill bit caused by friction and cutting, thereby generating the temperature field distribution of the drill bit. .

[0029] The control system obtains the drill bit propulsion force based on vibration parameters and a pre-configured drill bit propulsion force conversion model. The control system also derives the multiphysics characteristic tensor based on vibration parameters, rock strain distribution, drill bit temperature field distribution, and the third formula. The third formula is:

[0030] in, For multiphysics characteristic tensors; Indicates the number of feature combinations. ; For the time of data collection, ; for Real-time collected drill pipe vibration data; for Real-time data on the distribution of rock strain in the drill pipe drilling area; for The temperature field distribution data of the drill bit collected at any time; This represents the tensor product operator; express Confidence weight coefficients for time-feature combinations.

[0031] Step 102: The control system performs chaotic optimization calculations based on the drill bit's thrust to obtain an iterated chaotic sequence. Based on the multi-physics field characteristic tensor and the chaotic sequence, it performs multi-objective optimization calculations to obtain the optimization results.

[0032] Step 103: The control system outputs adjustment parameters for the drilling equipment's operating parameters based on the optimization results, and adjusts the drilling equipment's operating parameters according to the adjustment parameters.

[0033] Preferably, in step 101, the control system can also stack or further process (such as Fourier transform, wavelet transform, etc.) the feature tensors at multiple time points within a time window to extract time-frequency domain features, thereby forming a multiphysics feature tensor that better reflects the dynamic process. The control system may also include a preprocessing step for the acquired sensing signals, such as signal filtering (noise removal), signal amplification, analog-to-digital conversion (A / D conversion), and data calibration, to improve the accuracy and reliability of the subsequently generated multiphysics feature tensor.

[0034] Thus, the drilling equipment operating parameter optimization method provided in this application, by deploying triaxial vibration sensors, distributed fiber optic strain sensors, and temperature sensors, enables the control system to simultaneously acquire information from two dimensions: drilling equipment operating parameters and construction environment information. Furthermore, it utilizes tensor product operations to deeply fuse different physical quantities in space and time, generating a multi-physics feature tensor that characterizes the coupling relationships between various physical fields. This solves the problem in related technologies where reliance on a single sensor or simple data superposition leads to a one-sided perception of the drilling equipment's operating condition, achieving comprehensive, in-depth, and real-time perception of the drilling equipment's operating parameters and the construction environment. Chaotic optimization calculations leverage the ergodicity and randomness of the generated chaotic sequences to enhance the algorithm's global search capability, avoiding getting trapped in local optima, and finding a better combination of drilling equipment operating parameters adapted to complex construction environments. Multi-objective optimization can simultaneously balance multiple conflicting objectives such as efficiency, safety, energy consumption, and temperature rise, ultimately outputting a comprehensive optimization result, thereby improving the drilling efficiency, economy, and safety of the drilling equipment.

[0035] In some embodiments, chaotic optimization calculations are implemented using a first formula, which is:

[0036] in, For the first The chaotic sequence generated in the next iteration. For the first The chaotic sequence generated in the next iteration. The chaotic parameters of the mapping, For drill bit propulsion The weighting coefficients, Indicates the current drill bit thrust. The Euclidean norm, Indicates the maximum permissible drill bit thrust. The Euclidean norm.

[0037] Specifically, the chaotic optimization calculation can be implemented through steps 1021 to 1023: Step 1021: The control system sets the control parameters for the chaotic mapping. Weighting coefficients of external disturbance terms Randomly select an initial value within the open interval (0, 1). As the starting point for chaotic variables, the control system continuously receives real-time multiphysics feature tensors from the multi-source sensing modules. Then, iterative calculations are performed to generate a preset length of chaotic sequence This iterative process introduces the current drill bit thrust as an external disturbance into the generation of the chaotic sequence, enabling the characteristics of the chaotic sequence to respond in real time to changes in the construction environment.

[0038] Step 1022, the control system will generate chaotic variable values. The solution space is mapped to the multidimensional operating parameters of the drilling equipment to be optimized (e.g., drill pipe rotation speed, drill bit feed rate, drill bit cooling rate, etc.). For example, for the equipment to be optimized... The operating parameters of each drilling rig can be transformed from values ​​in a chaotic sequence into initial candidate values ​​within their allowable range using specific mapping rules (such as linear stretching, nonlinear transformation, etc.). In this way, chaotic optimization generates a set of evenly distributed and widely covered initial combinations of drilling rig operating parameters for multi-objective optimization algorithms, or it can serve as a random perturbation term during the iterative process of multi-objective optimization, guiding the optimization direction to escape local optima.

[0039] Step 1023: The control system uses this set of high-quality initial drilling equipment operating parameters or disturbance factors generated by chaotic optimization as input or aid for subsequent multi-objective optimization calculations.

[0040] In summary, the main purpose of chaotic optimization computation is to utilize the ergodicity and randomness of the generated chaotic sequence to provide a high-quality initial solution space for subsequent multi-objective optimization algorithms, or to introduce perturbations during the search process to prevent the algorithm from converging to a local optimum too early, thereby enhancing the global optimality of the optimization results.

[0041] In some embodiments, multi-objective optimization calculations are performed using a second formula, which is:

[0042] in, Let this be the first objective function; The second objective function; The first objective function In the middle, used to balance the propulsion term Weighting coefficients; The first objective function In, used to balance the characteristic tensor of multiphysics fields gradient term Weighting coefficients; Representing the characteristic tensor of multiphysics The gradient; For multiphysics characteristic tensors The Euclidean norm; This represents the critical threshold parameter related to drill pipe deflection, abrupt changes in rock strain, and the temperature field distribution of the drill bit. For the second objective function In the middle, used to balance energy consumption items Weighting coefficients; This indicates the current drilling energy consumption; Indicates baseline energy consumption; For the second objective function In the middle, used to balance the temperature rise term Weighting coefficients; This indicates the temperature rise of the drill bit; This indicates the permissible temperature rise threshold.

[0043] Specifically, the first objective function can be the operating safety cost of the drilling equipment, and its value can quantify the balance between drilling efficiency and downhole operating risk achieved by the drilling equipment under current parameters. The second objective function can be the energy consumption and wear cost of the drilling equipment, and its value can quantify the balance between energy consumption and drill bit thermal damage.

[0044] Therefore, multi-objective optimization calculations, based on multiphysics characteristic tensors, yield the operating safety cost and energy consumption and loss cost of drilling equipment. By performing multi-objective optimization calculations on various operating parameters of the drilling equipment, abnormal vibration, impact loads, and overheating of the drilling tools can be reduced, as can wear and fatigue of key components such as drill bits and drill rods, extending their service life and saving costs associated with replacing and maintaining the drilling equipment and its components. The multi-objective optimization calculations do not yield the optimal solution for a single operating parameter of the drilling equipment, but rather the combination of operating parameters that maximizes overall efficiency under the current construction environment, thus achieving the best balance between efficiency, economy, and safety.

[0045] In some embodiments, step 102 includes steps 1024 to 1026: Step 1024: The control system converts the chaotic sequence into a set of initial candidate values ​​for the working parameters of the drilling equipment based on the preset mapping rules. The control system uses the initial candidate values ​​and the multiphysics feature tensor as inputs for multi-objective optimization calculation, and obtains multiple function value sets based on the second formula. Each function value set includes a first objective function value and a second objective function value.

[0046] Step 1025: The control system calculates the gradient value for the first objective function value and the second objective function value in each function value group to obtain the first gradient value and the second gradient value, and filters the function value group based on the first gradient value and the second gradient value.

[0047] Specifically, the fourth formula can be used to filter the function value set. The fourth formula is:

[0048] in, This is the first gradient value. This is the second gradient value.

[0049] When the first gradient value and the second gradient value satisfy the fourth formula, the control system retains the function value group composed of the corresponding first objective function value and the second objective function value, and discards the function value group that does not satisfy the fourth formula.

[0050] Step 1026: The control system performs gain calculation based on the filtered function value set to obtain the optimization result.

[0051] For the retained set of function values, the control system uses the fifth formula to calculate the gain. The fifth formula is:

[0052] in, To optimize the results, The gain coefficient is the value of the first objective function. The first objective function value, The gain coefficient is the value of the second objective function. This is the value of the second objective function.

[0053] In summary, the control system transforms abstract optimization instructions into specific, executable signals for controlling the drilling equipment through the aforementioned steps, thereby adjusting various operating parameters of the drilling equipment. Generally, the optimization result itself may be a comprehensive evaluation index and cannot directly drive the drilling equipment; therefore, intermediate conversion is necessary. Filtering the function value set reduces the number of function value sets, saving computational resources for subsequent gain calculations to obtain the optimization result, and improving the control system's response speed. Furthermore, gain calculations on the function value set allow for more flexible adjustment of the drilling equipment's operating parameters, thus meeting the needs of special or emergency situations and improving the adaptability of the drilling equipment operating parameter optimization method.

[0054] In some embodiments, chaotic optimization computation and multi-objective optimization computation can be integrated with machine learning models (e.g., agent models trained on historical data or reinforcement learning agents) to accelerate the optimization process or improve optimization results. For example, a neural network can be used to predict the performance of a given multiphysics feature tensor. Under the conditions of a set of drilling equipment operating parameters and The value of can replace some of the time-consuming direct simulation or iterative calculation.

[0055] In some embodiments, such as Figure 2 As shown, step 103 can be achieved through steps 1031 to 1032: Step 1031: Based on the optimization results, the control system obtains the drill pipe adjustment coefficient.

[0056] Specifically, based on the optimization results and the sixth formula, the drill pipe adjustment coefficient is obtained. The sixth formula is as follows:

[0057] in, This is the drill pipe adjustment coefficient; To optimize the results The Euclidean norm; To optimize the results The maximum value of the Euclidean norm.

[0058] Step 1032: The control system obtains the adjustment parameters for the drilling equipment's working parameters based on the drilling equipment's operating parameters, the drill pipe adjustment coefficient, and the preset drill pipe adjustment parameter calculation formula.

[0059] Specifically, based on the drilling equipment operating parameters, drill pipe adjustment coefficient, and the seventh formula, adjustment parameters for drill pipe rotation speed, drill bit cooling rate, and drill bit feed rate are obtained. The seventh formula is:

[0060] in, The target rotational speed of the drill pipe; The minimum permissible rotational speed of the drill pipe for drilling equipment; This represents the rotational speed of the drill pipe under the current operating conditions. This is the drill pipe adjustment coefficient; , , These are the preset adjustment parameters. , , This can be obtained by analyzing curves corresponding to the operating parameters of the drilling equipment; The target cooling rate of the drill bit; The minimum allowable cooling rate of the drill bit for drilling equipment; This represents the cooling rate of the drill bit under the current operating conditions. The target feed rate for the drill pipe; This is the minimum allowable feed rate of the drill pipe for the drilling equipment. This represents the feed rate of the drill pipe under the current operating conditions.

[0061] In some embodiments, the control system may further include an interface unit for transmitting the obtained data. , and This is converted into a command format that the drilling equipment's control system can recognize and execute (e.g., CAN bus messages, analog voltage signals, digital setpoints, etc.).

[0062] Accordingly, the seventh formula calculates the target parameters of the drilling equipment's operating parameters based on the minimum allowable values, ensuring that the target parameters of the drilling equipment are always within the allowable range, thus guaranteeing the safe operation of the drilling equipment. The obtained adjustment parameters can be directly applied to control the drilling equipment's drive system (such as the top drive and rotary table) and auxiliary systems (such as the mud pump and cooling system), thereby achieving closed-loop control of the drilling equipment's operating parameters. Furthermore, the drill pipe adjustment coefficient allows for more gradual and smoother adjustments to the drilling equipment's operating parameters, preventing shocks caused by excessively drastic changes in operating parameters and ensuring a relatively stable operating state, indirectly extending the service life of the drilling equipment.

[0063] In some embodiments, after step 103, the drilling equipment operating parameter optimization method further includes: Step 104: The control system extracts safety characterization parameters based on the multiphysics field feature tensor.

[0064] Safety characterization parameters include drill pipe vibration parameters, rock strain distribution factor, and drill bit temperature. Drill pipe vibration parameters can be extracted from the drill pipe vibration-related components of the multiphysics characteristic tensor (e.g., root mean square value, peak value, or specific frequency band energy). Excessively high drill pipe vibration parameters may indicate risks such as drill pipe instability, excessive drill bit wear, or encountering hard interlayers. The rock strain distribution factor can be extracted from the multiphysics characteristic tensor by calculating the stress concentration, strain gradient, or average strain value of a specific area based on information related to formation strain and its spatial distribution. Anomalies in rock strain may indicate changes in the geological structure ahead, potential borehole instability, or the risk of water inrush. Drill bit temperature can be directly extracted from drill bit temperature-related data in the multiphysics characteristic tensor to obtain the highest or average temperature of a specific area of ​​the drill bit. Excessively high drill bit temperature may lead to premature drill bit failure, thermal damage, or even more serious safety accidents.

[0065] Step 105: The control system adjusts the operating status of the drilling equipment based on the safety characterization parameters and the corresponding preset safety characterization parameter thresholds. The safety characterization parameters include the drilling equipment's operating parameters and construction environment information. Each preset safety characterization parameter threshold includes an alarm threshold and a shutdown threshold, with the alarm threshold being lower than the shutdown threshold.

[0066] When the value of a safety characteristic parameter reaches or exceeds the corresponding warning threshold but has not yet reached a higher-level shutdown threshold, the control system can issue a warning signal and initiate preventative adjustment measures. When the value of a safety characteristic parameter reaches or exceeds the shutdown threshold, it indicates that the system is in or about to enter a dangerous state, and immediate and decisive shutdown or emergency avoidance measures must be taken. Safety characteristic parameter thresholds can be preset by experienced operators based on geological conditions and equipment performance, or they can be adaptively adjusted based on historical data using machine learning algorithms.

[0067] By extracting safety characterization parameters from multiphysics characteristic tensors and adjusting the working state of drilling equipment based on these parameters and corresponding preset thresholds, real-time monitoring of various parameters during operation is possible. This allows for intervention before potential risks occur or escalate. In reality, construction environments are complex and changeable, and unexpected situations frequently occur. Therefore, real-time monitoring of drilling equipment parameters is crucial for ensuring the normal operation of personnel and equipment, as well as the smooth progress of operations.

[0068] In some embodiments, step 105 includes: When at least one of the safety characterization parameters exceeds the corresponding warning threshold but does not reach the corresponding shutdown threshold, the control system adjusts the preset weight coefficients in the multi-objective optimization calculation; when at least one of the safety characterization parameters exceeds the corresponding shutdown threshold, the control system controls the drilling equipment to stop working.

[0069] Specifically, when the instantaneous value of a certain safety characteristic parameter exceeds its corresponding warning threshold, but has not yet reached the shutdown threshold, the control system will adjust the relevant weight coefficients in the multi-objective optimization calculation formula in the next optimization calculation. , , and Adjustments are made to prioritize and strengthen the control of operating parameters of drilling equipment that have triggered warnings, while ensuring basic drilling tasks are completed, thereby proactively mitigating further risks. The adjustment range of the weighting coefficients can be positively correlated with the degree to which the corresponding safety characteristic parameters exceed their warning thresholds; that is, the higher the value exceeding the warning threshold, the greater the corresponding weight adjustment range, thus achieving a more refined risk response.

[0070] For example, if the monitored drill pipe vibration parameters exceed the warning threshold, the control system increases the first objective function. In this context, weighting coefficients are used to balance and adjust the contributions of the gradient terms of the multiphysics characteristic tensor. By increasing Optimization algorithms tend to search for those that can make the gradient of the multiphysics feature tensor more attractive. A smaller solution typically corresponds to a smoother drilling condition, thereby indirectly reducing abnormal vibrations of the drill pipe.

[0071] If the monitored rock strain distribution factors (such as those indicating stress concentration or formation instability) exceed the warning threshold, the control system can increase the first objective function. In the middle, the weighting coefficients used to balance and adjust the contribution of drill bit propulsion force. This makes the optimization objective more inclined to reduce propulsion. Or avoid its violent fluctuations to reduce disturbance and potential damage to the strata.

[0072] If the monitored drill bit temperature exceeds the warning threshold, the control system will increase the second objective function. In the middle, the weighting coefficients used to balance and adjust the contribution of the drill bit temperature rise term. This will allow multi-objective optimization algorithms to focus more on reducing the temperature rise of the drill bit in subsequent calculations. For example, adjusting the drill pipe to a lower rotation speed, a lower feed rate, or increasing the drill bit cooling rate.

[0073] When the instantaneous value of any safety characteristic parameter reaches or exceeds its corresponding shutdown threshold, the control system no longer adjusts the weight coefficients in the multi-objective optimization calculation formula, but immediately generates and issues a shutdown command with the highest priority. This shutdown command will drive the drilling equipment to shut down urgently, stopping drilling operations as quickly as possible and putting the equipment into a safe state. Specifically, the control system can be connected to the emergency shutdown interface of the drilling equipment, and the shutdown command can control the emergency shutdown of the drilling equipment's drive equipment (such as motor controllers, hydraulic valve groups, etc.) and drill bit cooling equipment (such as motor controllers, hydraulic valve groups). The safe state can be achieved by maintaining or enhancing drill bit cooling while the drilling equipment stops rotating and feeding.

[0074] In some embodiments, the control system may also have event logging and alarm functions, recording all triggered safety events, thresholds, decision-making processes, and operator interventions for post-event analysis and improvement. Simultaneously, the control system can also display the current safety status of the drilling equipment, early warning information, and alarm information to the operator in real time through a human-machine interface.

[0075] Accordingly, by conducting real-time and proactive safety monitoring and management of the drilling equipment's operation, the control system can ensure that the drilling equipment is in normal working condition in the construction environment. This enables the control system not only to respond to safety issues indirectly reflected by adjusting parameters, but also to make forward-looking judgments and interventions based on original, multi-dimensional sensor information, thereby providing a relatively reliable guarantee for the entire drilling equipment's operation.

[0076] In some embodiments, the drilling equipment operating parameter optimization method further includes: The optimization method for drilling equipment operating parameters pre-sets the cycle for each step, including setting the cycle for generating the multiphysics feature tensor as follows: ; The time interval for completing one chaotic optimization calculation and one multi-objective optimization calculation and outputting the optimization results is set to be [time period]. ; The period for outputting adjustment parameters regarding the drilling equipment's operating parameters based on the optimization results is set to be... ; The cycle for adjusting the working status of the drilling equipment based on safety performance parameters and corresponding preset safety performance parameter thresholds is set as follows: , satisfy: ; and ,in, The maximum response time for the optimization method of the set drilling equipment operating parameters.

[0077] To ensure efficient collaboration among all stages of the drilling equipment operating parameter optimization method, forming a responsive and timely closed-loop control system, the execution cycle and constraints of each key stage can be specifically defined. This ensures the smoothness and safety of the entire drilling equipment operating parameter optimization process. Constraining the relationship between the lengths of each cycle ensures that each instruction generated in step 105 is based as closely as possible on the latest drilling equipment operating parameters and construction environment information. This avoids misjudgments or delayed responses in the control system due to the use of outdated drilling equipment operating parameters and construction environment information, thus improving the timeliness of safety monitoring of the drilling equipment's operating status. This represents the maximum response time of the drilling equipment operating parameter optimization method. It is a critical time value set after a comprehensive assessment of the evolution rate of the actual construction environment and potential hazards (such as gas outbursts, water inrushes, drill string damage, borehole instability, etc.). The drilling equipment operating parameter optimization method must complete a full "acquisition-optimization-execution" cycle within this time window in order to respond promptly to changes in operating conditions occurring in the actual construction environment and to avoid accidents or escalation of losses.

[0078] In some embodiments, the preset cycles of each stage in the drilling equipment operating parameter optimization method can be adaptively adjusted to a certain extent based on the current construction environment, the current drilling stage, or the operating status of the drilling equipment. For example, when the drilling equipment passes through a stable formation during drilling, the preset cycles can be adjusted accordingly. The cycles can be appropriately extended for more refined optimization; however, when approaching areas with known geological anomalies, all cycles may need to be shortened to improve the system's alertness and response speed. But regardless of the adjustments, the cycles of each component must meet the core constraints. .

[0079] In some embodiments, the system may include a monitoring unit for real-time monitoring of whether each stage strictly adheres to its set execution cycle. Once it is detected that the execution time of a certain stage exceeds the preset cycle, or that there is a risk of the cycle constraint being violated, the control system may issue an alarm to alert the operator, or the control mode may automatically switch to a preset, more conservative and safer drilling mode, or even perform a protective shutdown if necessary.

[0080] To achieve and maintain these stringent periodic constraints, corresponding requirements are placed on the hardware platform and software architecture of the control system. For example, it may be necessary to employ a Real-Time Operating System (RTOS) with real-time scheduling capabilities, optimize the execution efficiency of algorithms within each stage, and use high-speed, low-latency internal communication buses (such as EtherCAT, Profinet IRT, etc.) to ensure the timeliness of data exchange between stages, so that the processing units of each stage (such as central processing units, field-programmable gate arrays, digital signal processors, etc.) have sufficient computing power to complete their respective tasks on time.

[0081] By carefully designing and strictly constraining the execution cycle of each stage, the function of the drilling equipment working parameter optimization method installed in the drilling equipment control system can be fully utilized, thereby ensuring that the drilling equipment can achieve more efficient and safer drilling operations in complex and ever-changing construction environments.

[0082] Furthermore, as a specific implementation of the above-mentioned method for optimizing the operating parameters of drilling equipment, this application provides a device for optimizing the operating parameters of drilling equipment. For example... Figure 3 As shown, the drilling equipment working parameter optimization method device 300 includes: a first module 301, a second module 302 and a third module 303.

[0083] The first module 301 is used to acquire drilling equipment operating parameters and construction environment information, and to obtain multi-physics field characteristic tensors and drill bit propulsion force based on drilling equipment operating parameters and construction environment information. Drilling equipment operating parameters include drill rod vibration parameters, drill bit temperature field parameters and drilling equipment energy consumption parameters. Construction environment information includes rock strain distribution information. The second module 302 is used to perform chaotic optimization calculations based on the drill bit thrust to obtain an iterated chaotic sequence. Based on the multi-physics field feature tensor and the chaotic sequence, multi-objective optimization calculations are performed to obtain the optimization results. The third module 303 is used to output adjustment parameters for the working parameters of the drilling equipment based on the optimization results, and to adjust the working parameters of the drilling equipment according to the adjustment parameters.

[0084] In some embodiments, the drilling equipment operating parameter optimization method apparatus further includes: a fourth module 304 and a fifth module 305.

[0085] The fourth module 304 is used to extract security characterization parameters based on multiphysics feature tensors; Module 305 is used to adjust the working status of the drilling equipment based on the safety characterization parameters and the corresponding preset safety characterization parameter thresholds. The safety characterization parameters include the drilling equipment's working parameters and construction environment information. Each preset safety characterization parameter threshold includes a warning threshold and a shutdown threshold, with the warning threshold being lower than the shutdown threshold.

[0086] The drilling equipment operating parameter optimization device in this application embodiment can be an electronic device or a component of an electronic device, such as an integrated circuit or a chip. The electronic device can be a terminal or other devices besides a terminal. For example, the electronic device can be a mobile phone, tablet computer, laptop computer, PDA, in-vehicle electronic device, mobile internet device (MID), augmented reality (AR) / virtual reality (VR) device, robot, wearable device, ultra-mobile personal computer (UMPC), netbook, or personal digital assistant (PDA), etc. It can also be a server, network attached storage (NAS), personal computer (PC), television (TV), ATM, or self-service machine, etc. This application embodiment does not specifically limit the specific devices.

[0087] The drilling equipment operating parameter optimization device provided in this application embodiment can achieve... Figures 1 to 2 The various processes implemented in the method implementation examples will not be described again here to avoid repetition.

[0088] This application also provides an electronic device, such as... Figure 4 As shown, the electronic device 400 includes a processor 401 and a memory 402. The memory 402 stores programs or instructions that can run on the processor 401. When the program or instructions are executed by the processor 401, they implement the various steps of the above-described drilling equipment working parameter optimization method embodiment and can achieve the same technical effect. To avoid repetition, they will not be described again here.

[0089] The memory 402 can be used to store software programs and various data. The memory 402 may primarily include a first storage area for storing programs or instructions and a second storage area for storing data. The first storage area may store the operating system, application programs or instructions required for at least one function (such as sound playback, image playback, etc.). Furthermore, the memory 402 may include volatile memory or non-volatile memory, or both. The non-volatile memory may be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory can be random access memory (RAM), static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct memory bus RAM (DRRAM). The memory 402 in this embodiment includes, but is not limited to, these and any other suitable types of memory.

[0090] Processor 401 may include one or more processing units; optionally, processor 401 integrates an application processor and a modem processor, wherein the application processor mainly handles operations involving the operating system, user interface, and applications, and the modem processor mainly handles wireless communication signals, such as a baseband processor. It is understood that the aforementioned modem processor may also not be integrated into processor 401.

[0091] This application also provides a readable storage medium storing a program or instructions. When the program or instructions are executed by a processor, they implement the various processes of the above-described drilling equipment working parameter optimization method embodiment and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0092] This application also provides a chip, which includes a processor and a communication interface. The communication interface and the processor are coupled. The processor is used to run programs or instructions to implement the various processes of the above-described drilling equipment working parameter optimization method embodiments and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0093] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0094] This application also provides a computer program product, which is stored in a storage medium and executed by at least one processor to implement the various processes of the above-described drilling equipment working parameter optimization method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0095] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0096] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

Claims

1. A method for optimizing the operating parameters of drilling equipment, characterized in that, include: The drilling equipment operating parameters and construction environment information are obtained, and multiphysics characteristic tensors and drill bit propulsion force are obtained based on the drilling equipment operating parameters and construction environment information. The drilling equipment operating parameters include drill rod vibration parameters, drill bit temperature field parameters and drilling equipment energy consumption parameters. The construction environment information includes rock strain distribution information. Chaotic optimization calculations are performed based on the drill bit thrust to obtain an iterated chaotic sequence. Multi-objective optimization calculations are then performed based on the multi-physics feature tensor and the chaotic sequence to obtain the optimization result. Based on the optimization results, adjustment parameters for the drilling equipment's operating parameters are output, and the drilling equipment's operating parameters are adjusted according to the adjustment parameters.

2. The method for optimizing drilling equipment operating parameters according to claim 1, characterized in that, The chaotic optimization calculation is implemented through a first formula, which is: ； in, For the first The chaotic sequence generated in the next iteration. For the first The chaotic sequence generated in the next iteration. The chaotic parameters of the mapping, The drill bit thrust The weighting coefficients, This indicates the current drill bit thrust. The Euclidean norm, This indicates the maximum permissible drill bit thrust. The Euclidean norm.

3. The method for optimizing drilling equipment operating parameters according to claim 1, characterized in that, The multi-objective optimization calculation is achieved through a second formula, which is: in, Let this be the first objective function; The second objective function; The first objective function In the middle, used to balance the propulsion term Weighting coefficients; The first objective function In, used to balance the multiphysics characteristic tensor gradient term Weighting coefficients; Represents the multiphysics characteristic tensor The gradient; The multiphysics feature tensor The Euclidean norm; This represents the critical threshold parameter related to drill pipe deflection, abrupt changes in rock strain, and the temperature field distribution of the drill bit. The second objective function In the middle, used to balance energy consumption items Weighting coefficients; This indicates the current drilling energy consumption; Indicates baseline energy consumption; The second objective function In the middle, used to balance the temperature rise term Weighting coefficients; This indicates the temperature rise of the drill bit; This indicates the permissible temperature rise threshold.

4. The method for optimizing drilling equipment operating parameters according to claim 1, characterized in that, The optimization results obtained by performing multi-objective optimization calculations based on the multi-physics feature tensor and the chaotic sequence using the second formula include: Based on a pre-defined mapping rule, the chaotic sequence is converted into a set of initial candidate values ​​for the working parameters of the drilling equipment; the initial candidate values ​​and the multiphysics feature tensor are used as inputs for multi-objective optimization calculations, and based on the second formula, multiple sets of function values ​​are obtained, each set of function values ​​including a first objective function value and a second objective function value; For each group of function values, the gradient values ​​of the first objective function value and the second objective function value are calculated to obtain the first gradient value and the second gradient value, and the group of function values ​​is filtered based on the first gradient value and the second gradient value; Gain calculation is performed based on the function value set obtained after filtering to obtain the optimization result.

5. The method for optimizing drilling equipment operating parameters according to claim 1, characterized in that, The adjustment parameters for the drilling equipment's operating parameters, output based on the optimization results, include: Based on the optimization results, the drill pipe adjustment coefficient is obtained; Based on the drilling equipment's operating parameters, the drill pipe adjustment coefficient, and the preset drill pipe adjustment parameter calculation formula, the adjustment parameters for the drilling equipment's operating parameters are obtained.

6. The method for optimizing drilling equipment operating parameters according to claim 1, characterized in that, After outputting adjustment parameters for the drilling equipment's operating parameters based on the optimization results, and adjusting the drilling equipment's operating parameters according to the adjustment parameters, the drilling equipment operating parameter optimization method further includes: Based on the multiphysics feature tensor, security characterization parameters are extracted; The working state of the drilling equipment is adjusted according to the safety characterization parameters and the corresponding preset safety characterization parameter thresholds. The safety characterization parameters include drilling equipment operating parameters and construction environment information. Each preset safety characterization parameter threshold includes an early warning threshold and a shutdown threshold, and the early warning threshold is less than the shutdown threshold.

7. The method for optimizing drilling equipment operating parameters according to claim 6, characterized in that, The step of adjusting the working state of the drilling equipment according to the safety characterization parameters and the corresponding preset safety characterization parameter thresholds includes: When at least one of the safety characterization parameters exceeds the corresponding warning threshold but does not reach the corresponding shutdown threshold, the preset weight coefficient in the multi-objective optimization calculation is adjusted. When at least one of the safety characterization parameters exceeds the corresponding shutdown threshold, the drilling equipment is controlled to stop working.

8. The method for optimizing drilling equipment operating parameters according to any one of claims 1 to 7, characterized in that, The method for optimizing the operating parameters of drilling equipment also includes: The drilling equipment operating parameter optimization method presets a period for each step, wherein the period for generating the multiphysics feature tensor is set to be... ; The period for completing one chaotic optimization calculation and one multi-objective optimization calculation and outputting the optimization result is set to be [period]. ; The period for outputting adjustment parameters regarding the operating parameters of the drilling equipment based on the optimization results is set to be... ; The cycle for adjusting the working state of the drilling equipment based on the safety characterization parameters and the corresponding preset safety characterization parameter thresholds is set as follows: , satisfy: ; and ; in, The maximum response time is the set maximum response time of the drilling equipment operating parameter optimization method.

9. An electronic device, characterized in that, It includes a processor and a memory, the memory storing a program or instructions that run on the processor, the program or instructions being executed by the processor to implement the steps of the drilling equipment operating parameter optimization method as described in any one of claims 1 to 8.

10. A readable storage medium having a program or instructions stored thereon, characterized in that, When the program or instructions are executed by the processor, they implement the steps of the drilling equipment operating parameter optimization method as described in any one of claims 1 to 8.

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