A dynamic working condition power distribution method and system of downhole power equipment

Abstract

The present application relates to the field of power distribution, in particular to a dynamic working condition power distribution method and system of downhole power equipment. The method comprises the following steps: receiving a job task target based on downhole power equipment; determining initial power distribution parameters of each stage according to the job task target; collecting equipment operating parameters in the real-time execution process of the job stage; generating working condition characteristics of the real-time stage based on the calculation of the equipment operating parameters; identifying the output state parameters of the ground hydraulic pump station; calculating the maximum power upper limit value according to the output state parameters; correcting the initial power distribution parameters based on the working condition characteristics to generate target power demand values; performing dynamic power distribution based on the maximum power upper limit value and the target power demand value, and outputting the power distribution result. The present application performs accurate power distribution based on real-time working conditions, and improves the stability and efficiency of downhole operations.

Description

Technical Field

[0001] This invention relates to the field of power distribution, and more particularly to a dynamic power distribution method and system for downhole power equipment. Background Technology

[0002] During long-term, complex downhole operations, the power demands of equipment at each stage of operation exhibit significant nonlinear and time-varying characteristics due to the combined effects of factors such as changes in formation hardness, wellbore pressure fluctuations, and dynamic changes in tool load. For example, during drilling, the change in formation hardness from soft to hard causes drastic fluctuations in torque and rotational speed; during the setting stage, the sealing performance of the packer is closely related to the pressure build-up process, and insufficient or overloaded power output can lead to setting failure; and during the repair stage, instability in grouting flow and pressure directly affects the repair quality. These complex factors make traditional power distribution methods based on fixed parameters or experience difficult to adapt to variable operating conditions, easily leading to problems such as low power utilization, equipment overload, and even operation interruption. Existing downhole power distribution methods mostly rely on surface control experience or preset operating condition models, manually setting the power or flow distribution ratio for each stage to complete the operation. Although these methods are simple to implement, they lack the ability to respond to real-time changes in operating conditions and cannot dynamically adjust according to the actual downhole load, resulting in unreasonable power distribution and low operating efficiency. Summary of the Invention

[0003] To address the aforementioned technical problems, this invention proposes a dynamic operating condition power distribution method and system for downhole power equipment, thereby resolving at least one of the aforementioned technical problems.

[0004] To achieve the above objectives, the present invention provides a dynamic power distribution method for downhole power equipment, comprising the following steps: Step S1: Receive the operational task objective based on the downhole power equipment; determine the initial power allocation parameters for each stage according to the operational task objective; Step S2: During the real-time execution of the operation phase, collect equipment operating parameters; calculate based on the equipment operating parameters to generate the operating condition characteristics of the real-time phase; Step S3: Identify the output status parameters of the ground hydraulic pump station; calculate the maximum power limit value based on the output status parameters; Step S4: Based on the operating condition characteristics, the initial power allocation parameters are modified according to the operating condition requirements to generate the target power requirement value; Step S5: Perform dynamic power allocation based on the maximum power limit and the target power demand, and output the power allocation result; Step S6: Drive the downhole power equipment to perform operations based on the power allocation results, and monitor the load feedback information in real time; perform fine-tuning of the power allocation ratio according to the load feedback information.

[0005] In this invention, step S1 specifically includes the following steps: The downhole power equipment receives the operational task objectives; the operational task objectives include the operating depth, the target pressure maintenance capability after setting, the drilling depth, and the coverage of the repair area. The task objectives are analyzed in a structured manner to extract the target performance indicators and constraints for each stage; Theoretical power allocation is performed based on the target performance indicators and constraints to generate initial power allocation parameters for each stage.

[0006] In this invention, step S2 specifically involves the following steps: During the real-time execution of the operation phase, equipment operating parameters are collected; these parameters include pressure, torque, displacement, flow rate, and rotational speed information. The equipment operating parameters are filtered and noise-reduced to obtain standard operating parameters; the operation stages include the setting stage, the drilling stage, and the repair stage. Based on standard operating parameters, the pressure change rate, torque fluctuation amplitude, and displacement response gradient in the real-time stage are calculated to generate the operating condition characteristics in the real-time stage.

[0007] In this invention, step S3 specifically involves the following steps: Identify the output status parameters of the ground hydraulic pump station, including the pump station's rated output pressure, real-time output flow rate, and pipeline transmission loss coefficient; Calculate the maximum effective power based on the pump station's rated output pressure and real-time output flow rate; Based on the pipeline transmission loss coefficient, the transmission path loss is corrected for the maximum effective power to generate the maximum power upper limit value.

[0008] In this invention, step S4 specifically involves the following steps: Identify the sequential dependencies and task times between each task stage; Based on the sequential dependency relationship and the job time, identify the synchronous job time period and mark the synchronous job window; Based on the initial power allocation parameters, the power superposition calculation of the synchronization window is performed to obtain the power superposition value of the synchronization window; Based on the operating condition characteristics, the power superposition value is modified according to the operating condition requirements to generate the target power requirement value.

[0009] In this invention, step S5 specifically involves the following steps: The demand deviation is calculated based on the maximum power limit value and the target power demand value. If the maximum power limit value is not less than the target power demand value, then full power output is performed. When the upper limit constraint of power allocation is less than the target power demand value, calculate the minimum power demand value for each stage of the synchronous operation window; Identify the stage priority of the synchronous job window; Dynamic power allocation is performed based on the stage priority and the minimum power requirement, and the power allocation result is output.

[0010] In this invention, step S6 specifically involves the following steps: The downhole power equipment is driven to perform operations based on the power distribution results, and load feedback information is monitored in real time; the load feedback information includes equipment torque changes, pressure fluctuations, and displacement response; Based on the load feedback information, analyze the actual power output status and generate the actual output status. Calculate the target allocation state based on the power allocation results; The response deviation is calculated based on the actual output state and the target allocation state to obtain the response deviation value; The power allocation ratio is fine-tuned based on the response deviation value to perform the power allocation operation.

[0011] In this invention, the specific steps for fine-tuning the power allocation ratio based on the response deviation value to perform the power allocation operation are as follows: Pattern recognition is performed based on response deviation values ​​to classify transient impact deviations into continuous drift deviations; When the response deviation is a transient impulse type deviation, local power compensation calculation is performed to generate transient compensation power; When the response deviation is a continuous drift type deviation, the ratio of rotational power to propulsion power is adjusted according to the real-time operating conditions to generate an adaptive power ratio. The power allocation results are updated in real time based on the transient compensation power and adaptive power ratio, and the latest allocation results are output.

[0012] This invention provides a dynamic operating condition power distribution system for downhole power equipment, used to execute the dynamic operating condition power distribution method for downhole power equipment as described above, including: The initial allocation module is used to receive the operational task target based on the downhole power equipment; and to determine the initial power allocation parameters for each stage according to the operational task target. The data acquisition module is used to collect equipment operating parameters during the real-time execution of the operation phase; and to calculate and generate real-time operating condition characteristics based on the equipment operating parameters. A maximum power module is used to identify the output status parameters of the ground hydraulic pump station and calculate the maximum power limit value based on the output status parameters. The operating condition correction module is used to correct the initial power allocation parameters based on the operating condition characteristics to generate a target power demand value. The power allocation module is used to dynamically allocate power based on the maximum power limit and the target power demand, and output the power allocation result. The proportional fine-tuning module is used to drive downhole power equipment to perform operations based on power allocation results and monitor load feedback information in real time; and to perform power allocation ratio fine-tuning processing based on the load feedback information.

[0013] The beneficial effects of this invention are specifically as follows: It transforms operational task objectives into phased initial power allocation parameters, shifting power configuration from experience-based setting to target-driven quantitative design, thereby improving the accuracy and consistency of power planning. Through multi-parameter acquisition and feature calculation, raw noise data is transformed into stable operating condition characteristics, improving the reliability and usability of data in complex downhole environments. It effectively reflects the trends of torque, pressure, and displacement changes, providing real-time basis for power adjustment, thus enhancing the system's ability to perceive dynamic operating conditions and its rapid response capability. By introducing pump station output status and pipeline loss coefficients to calculate the maximum power upper limit, the power boundary is made closer to the actual power supply capacity, avoiding the problem of theoretically inflated power. Introducing real-time operating condition characteristics into the power correction process allows the target power demand to adapt to changing downhole environments, improving the accuracy of power prediction. Simultaneously considering the multi-stage superposition effect, it effectively avoids power estimation bias, improving the rationality and dynamic adaptability of power demand modeling under complex operating conditions. By matching the maximum power constraint with the target demand, it achieves dynamic optimization of power allocation, improving efficiency when power is sufficient and ensuring the priority execution of key processes when power is insufficient. This mechanism improves system resource utilization and task completion rate, enhancing stable operation capability under constrained conditions. A control mechanism based on load feedback and response deviation fine-tuning enables real-time correction of power distribution deviations, improving control accuracy and stability. This effectively suppresses transient shocks and persistent drift errors, enhancing the equipment's adaptability and reliability under complex downhole operating conditions. Attached Figure Description

[0014] Figure 1 This is a flowchart illustrating the steps of a dynamic power distribution method for downhole power equipment according to the present invention. Figure 2 This is a detailed flowchart illustrating the implementation steps of step S1. Figure 3 This is a detailed flowchart illustrating the implementation steps of step S2; Figure 4 This is a schematic diagram of the initial power allocation for each stage; Figure 5This is a schematic diagram comparing the original signal and the filtered signal. Figure 6 This is a schematic diagram of the standard operating parameters after filtering. Detailed Implementation

[0015] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0016] This application provides a dynamic power distribution method and system for downhole power equipment. The executing entities of the dynamic power distribution method and system for downhole power equipment include, but are not limited to, mechanical equipment, data processing platforms, cloud server nodes, and network upload devices that can be considered as general computing nodes in this application. The data processing platform includes, but is not limited to, at least one of an audio / image management system, an information management system, and a cloud-based data management system.

[0017] Please see Figures 1 to 6 In this example, the steps of the dynamic operating condition power distribution method for downhole power equipment include: Step S1: Receive the operational task objective based on the downhole power equipment; determine the initial power allocation parameters for each stage according to the operational task objective; Step S2: During the real-time execution of the operation phase, collect equipment operating parameters; calculate based on the equipment operating parameters to generate the operating condition characteristics of the real-time phase; Step S3: Identify the output status parameters of the ground hydraulic pump station; calculate the maximum power limit value based on the output status parameters; Step S4: Based on the operating condition characteristics, the initial power allocation parameters are modified according to the operating condition requirements to generate the target power requirement value; Step S5: Perform dynamic power allocation based on the maximum power limit and the target power demand, and output the power allocation result; Step S6: Drive the downhole power equipment to perform operations based on the power allocation results, and monitor the load feedback information in real time; perform fine-tuning of the power allocation ratio according to the load feedback information.

[0018] In one specific embodiment, the downhole power equipment receives operational task objectives from the surface control system. These objectives include an operating depth of 3000 m, a setting target pressure of 50 MPa for 20 min, a drilling depth of 15 m, and a repair coverage rate of ≥95%. The task objectives are then structurally analyzed, dividing the operation into a setting stage, a drilling stage, and a repair stage, and extracting constraint parameters for each stage. A power calculation model is established based on physical mechanisms, and theoretical power allocation is calculated for each stage, with hydraulic power calculated according to fluid power relationships. ; During the sealing phase, the target pressure is set at 50 × 10. 6 Pa, flow rate 1.5 × 10 -3 m 3 / s, then the theoretical power is 50×10 6 ×1.5×10 -3 =75 kW; Considering the efficiency of the downhole transmission system is 0.3, the effective power is... Satisfying Relationship: =Theoretical power × downhole transmission system efficiency = 75 × 0.3 = 22.5 kW; take 22.5 kW as the initial power parameter for the setting stage; thus generating the initial power parameter for the setting stage.

[0019] During the drilling stage, a mechanical rotational power calculation model is used: Given a drilling torque T = 350 N·m and a rotational speed n = 120 rpm, the angular velocity ω = 2πn / 60 ≈ 12.57 rad / s. Substituting this into the equation, the rotational power P2 = 350 × 12.57 ≈ 4.40 kW. Further considering the propulsion power and the impact loss coefficient k = 5.5, the corrected power P2' = k × P2 ≈ 24.2 kW. During the repair stage, based on the hydrodynamic model of the grouting process, the grouting pressure p3 = 20 MPa and the flow rate Q3 = 3.3 × 10⁻⁶ MPa are set. -4 m 3 / s, then the theoretical power P3 = 20 × 10 6 ×3.3×10 -4 The estimated power is approximately 6.6 kW. Considering the pipeline loss coefficient η3=0.55, the effective power P3'=0.55×6.6≈3.63 kW. Based on field experience, a compensation coefficient β=3.3 is introduced, resulting in the repair stage power P3''=β×P3'≈12 kW. After completing the theoretical calculations for each stage, a total power demand model is constructed.

[0020] When drilling and repair are performed concurrently, the total power demand is P2'+P3''≈24.2+12≈36.2 kW; simultaneously, the output capacity of the ground pump station is constrained, with the pump station output pressure set at ps=60 MPa and the flow rate at Qs=2×10 -3 m 3 / s, then the theoretical supply power =60×10 6 ×2×10 -3 =120 kW, considering a wellbore transmission loss factor of 0.75, then the available power downhole is... =0.75×120=90 kW; By comparison and Construct power matching criteria:

[0021] When 36.2 kW ≤ 90 kW, the full-capacity allocation strategy is implemented; under dynamic operating conditions, the power is corrected based on real-time acquired parameters. For example, when the torque suddenly increases to T = 480 N·m and the speed drops to n = 90 rpm, ω ≈ 9.42 rad / s is recalculated, then the drilling power is 480 × 9.42 ≈ 4.52 kW, which is approximately 27 kW after impact coefficient correction; if continuous load drift is detected, a power adjustment function is introduced: .

[0022] in The power adjustment function, where ΔL is the load change rate and α is the adjustment coefficient (ranging from 0.2 to 0.4), enables adaptive adjustment of power at each stage. This ultimately forms a dynamic power distribution calculation process based on the coupling of multi-source parameters and a physical model, ensuring that the downhole power setting and drilling repair equipment can obtain stable and efficient power output at different operational stages.

[0023] In this embodiment, see Figure 2 The diagram below illustrates the detailed implementation steps of step S1. In this embodiment, the detailed implementation steps of step S1 include: The downhole power equipment receives the operational task objectives; the operational task objectives include the operating depth, the target pressure maintenance capability after setting, the drilling depth, and the coverage of the repair area. The task objectives are analyzed in a structured manner to extract the target performance indicators and constraints for each stage; Theoretical power allocation is performed based on the target performance indicators and constraints to generate initial power allocation parameters for each stage.

[0024] In this embodiment, a communication link is established between the surface control system and the downhole monitoring and control unit to achieve the issuance and receipt of operational task objectives. Typically, mud pulse communication or wired while drilling communication is used to transmit design parameters to the downhole controller in real time. The received task objectives include an operating depth of 3500 m ± 5 m, a target pressure holding capability after setting (e.g., maintaining a stable pressure of 30 MPa for at least 60 minutes with a pressure decay rate of less than 3%), a drilling depth (e.g., penetrating the casing and cement sheath to a total thickness of at least 40 mm), and a repair area coverage rate (e.g., covering the target section at least 95%). After receiving the data, the downhole control module confirms the well depth using a depth sensor, with sensor accuracy controlled within ±0.1%FS, and compares it with the target depth. When the deviation is less than 2 m, it enters the operational preparation state. An initial downhole environmental pressure, such as a static pressure of approximately 28 MPa, is collected using a pressure sensor to provide benchmark conditions for subsequent setting. The system loads wellbore data such as an 8.5-inch diameter, casing wall thickness of 12 mm, and repair zone length of 20 m, and performs data integrity checks and outlier screening. For example, it automatically triggers an alarm if the pressure exceeds the equipment limit of 50 MPa. A phased modeling approach is adopted, dividing the entire operation process into the insertion phase, setting phase, pressure holding phase, drilling phase, and repair coverage phase, mapping various parameters to their corresponding phases. For example, maintaining a pressure of 30 MPa is classified as part of the setting and pressure holding phase, a drilling depth of 40 mm is classified as part of the drilling phase, and 95% coverage is classified as part of the repair phase. The parameters are transformed using a rule engine and a physical model, converting abstract objectives into executable equipment indicators. For example, the pressure target is decomposed into a hydraulic system output pressure of approximately 32 MPa, a sealing element expansion force of approximately 15 kN, and a support structure reaction force. During the analysis process, downhole environmental factors also need to be considered. A well temperature of 120°C will cause the hydraulic oil viscosity to decrease, thereby reducing the system efficiency by about 8%. Based on this, the pressure setpoint will be automatically corrected to a higher level. Downhole fluid density, such as 1.2 g per cubic centimeter, will affect pressure transmission and also needs to be included in the model correction.

[0025] During the setting phase, based on the target pressure of 30 MPa and the flow rate requirement of 20 L / min, combined with a system efficiency of 0.85, the theoretical power is estimated to be approximately 11.8 kW. However, since the maximum power of the equipment is 10 kW, the constraints are met by reducing the flow rate to 17 L / min or optimizing the efficiency. During the drilling phase, based on the rock compressive strength of 80 MPa and the drill bit cutting efficiency, the estimated mechanical power requirement is approximately 6 to 8 kW, while some power needs to be reserved for the hydraulic auxiliary system. To achieve a reasonable allocation, optimization algorithms such as linear programming or genetic algorithms are used, with the goal of maximizing power utilization efficiency or minimizing energy consumption, and iterative solutions are performed under the conditions of power limits, pressure requirements, and time constraints. For example, calculations show that hydraulic power is dominant during the setting phase, accounting for nearly 100%; the drilling phase uses a combination of 70% mechanical power and 30% hydraulic power; and the repair phase is allocated 60% hydraulic power and 40% circulating system power. An additional 10% safety margin is introduced to cope with sudden changes in downhole load, such as jamming or pressure fluctuations.

[0026] The mapping relationship between power and control variables was established through experimental calibration. For example, the relationship curve between hydraulic power and pump displacement and system pressure was established. For instance, under 32 MPa conditions, a displacement of 17 L per minute corresponds to approximately 10 kW of power. The relationship between mechanical power and motor speed and torque was also established. For instance, 300 rpm and 250 N per meter of torque correspond to approximately 7.85 kW. An initial set of control parameters was generated based on the allocation results of each stage. For example, in the setting stage, the pump displacement was set to 17 L per minute, the target pressure to 32 MPa, and the motor speed to 1500 rpm. In the drilling stage, the spindle speed was set to 300 rpm, the torque to 250 N per meter, and the auxiliary hydraulic pressure to 15 MPa. In the repair stage, the circulation flow rate was set to 25 L per minute, the pressure to 20 MPa, and the system was allowed to run continuously for more than 30 minutes.

[0027] In this embodiment, see Figure 3 The diagram below illustrates the detailed implementation steps of step S2. In this embodiment, the detailed implementation steps of step S2 include: During the real-time execution of the operation phase, equipment operating parameters are collected; these parameters include pressure, torque, displacement, flow rate, and rotational speed information. The equipment operating parameters are filtered and noise-reduced to obtain standard operating parameters; the operation stages include the setting stage, the drilling stage, and the repair stage. Based on standard operating parameters, the pressure change rate, torque fluctuation amplitude, and displacement response gradient in the real-time stage are calculated to generate the operating condition characteristics in the real-time stage.

[0028] In this embodiment, after the downhole power-driven packer drilling and repair equipment enters the actual operation stage, it is necessary to continuously collect data on the equipment's operating status to support dynamic operating condition analysis and power distribution optimization. This is accomplished through the collaborative use of multiple types of downhole sensors, including pressure sensors, torque sensors, displacement sensors, flow meters, and speed sensors, all managed uniformly by the downhole control unit. During the packing stage, the focus is on collecting pressure and displacement parameters. For example, the pressure gradually increases from the initial downhole static pressure of 28 MPa to a target pressure of over 30 MPa, and the displacement gradually increases from 0 to approximately 40 mm, to determine the packer's expansion state and sealing degree. During the drilling stage, the focus is on collecting torque and speed parameters. For example, the torque is stabilized in the range of 220 to 280 N per meter, and the speed is maintained in the range of 250 to 350 rpm, to reflect the drilling load. During the repair stage, the focus is on collecting flow rate and pressure changes. When the circulating flow rate is maintained at 20 to 30 L per minute and the pressure is maintained between 15 and 25 MPa, it ensures uniform distribution of the repair medium. The entire acquisition process employs a high-frequency sampling mechanism with a sampling frequency set to 100 Hz to capture transient changes. Simultaneously, a unified clock synchronization mechanism ensures time consistency across multiple channels, with time errors controlled within 10 ms. The sensor system is capable of withstanding high temperatures and pressures, such as temperatures up to 150℃ and pressures up to 60 MPa, and undergoes amplification and preliminary filtering through a signal conditioning module.

[0029] High-frequency interference is suppressed through a low-pass filter circuit, for example, by setting the cutoff frequency to 20 Hz, thereby filtering out high-frequency noise exceeding the actual response range of the equipment. Digital filtering is performed at the software level. For pressure and flow signals, a moving average filtering method is used, for example, setting the window length to 10 sampling points, reducing the original fluctuation range from ±2 MPa to within ±0.5 MPa. For torque and speed signals, due to their rapid changes and dynamic characteristics, Kalman filtering is used for state estimation, thereby reducing random noise by approximately 70% while maintaining response speed. For displacement signals, a median filtering method is used to remove sudden outliers, for example, removing data points with abrupt changes exceeding 20% ​​of the normal variation range. During the filtering process, data standardization is performed simultaneously, including unifying the unit system, for example, pressure is standardized to MPa, flow rate to L per minute, and time series alignment is performed. Furthermore, an anomaly detection mechanism identifies physically unreasonable data; for example, when the pressure changes by more than 5 MPa within 0.1 seconds, it is judged as noise and removed.

[0030] For the pressure change rate, it is calculated by differentially analyzing the pressure data from continuous sampling points and dividing by the time interval. For example, at a sampling frequency of 100 Hz and a time interval of 0.01 s, if the pressure difference between two adjacent points is 0.015 MPa, the corresponding pressure change rate is 1.5 MPa per second. This parameter typically falls within the range of 0.5 to 2 MPa per second during the setting stage and is used to evaluate the pressure build-up speed and sealing performance. Secondly, for the torque fluctuation amplitude, statistical analysis is performed by setting a time window. The maximum and minimum torque values ​​are recorded within a 1-second time window. If the torque varies between 230 and 270 N / m, the fluctuation amplitude is 40 N / m. This indicator is used to judge drilling stability during the drilling stage; fluctuations exceeding 60 N / m are considered abnormal conditions. Thirdly, for the displacement response gradient, the derivative of displacement over time is calculated. For example, if the displacement increases from 0 to 40 mm within 20 seconds, the average gradient is 2 mm per second. This parameter is used to evaluate the actuator's response speed and whether there is any jamming. During the repair phase, the displacement changes are small, but its gradient can still be used to determine the uniformity of operation.

[0031] In this embodiment, step S3 includes the following steps: Identify the output status parameters of the ground hydraulic pump station, including the pump station's rated output pressure, real-time output flow rate, and pipeline transmission loss coefficient; Calculate the maximum effective power based on the pump station's rated output pressure and real-time output flow rate; Based on the pipeline transmission loss coefficient, the transmission path loss is corrected for the maximum effective power to generate the maximum power upper limit value.

[0032] In this embodiment, the output status parameters of the ground hydraulic pump station are accurately identified to clarify the boundary conditions of the power supply capacity. This is accomplished through the collaboration of the ground monitoring system and the pump station control module, mainly collecting key parameters such as the pump station's rated output pressure, real-time output flow rate, and pipeline transmission loss coefficient. The pump station's rated output pressure is typically derived from the equipment's set value and nameplate parameters, set at 35 MPa as the maximum design pressure limit. The real-time output flow rate is continuously measured using an online flow meter, for example, fluctuating between 20 and 30 L per minute, with measurement accuracy controlled within ±1%. The system also collects the pump station's outlet pressure and wellhead inlet pressure using pressure sensors. When the outlet pressure is 30 MPa and the wellhead pressure is 27 MPa under a certain operating condition, statistical analysis of multiple sets of operating condition data shows that the pipeline transmission loss ratio is approximately 10% to 12%, thus establishing a loss coefficient model. This coefficient also needs to be corrected for factors such as pipeline length (e.g., 3000 m), inner diameter (e.g., 50 mm), and fluid temperature (e.g., 40°C). During the data identification process, outlier screening and time synchronization processing are also required. When the instantaneous change in flow exceeds 5 L per minute and the duration is less than 1 s, it is judged as an interference signal and removed to ensure that the pressure and flow sampling time error is less than 20 ms.

[0033] The rated output pressure and current real-time flow rate of the pump station are selected as the basis for calculation. For example, with a rated pressure of 35 MPa and a real-time flow rate of 28 L / min, the theoretical power is approximately 16 kW through conversion. The efficiency of the pump station itself must also be considered. For instance, the efficiency of a hydraulic system is typically between 0.85 and 0.9; taking 0.88 as a reference value, the corrected effective power is approximately 14 kW. The thermal effects during equipment operation are also considered. For example, after 30 minutes of continuous operation, the oil temperature may rise to 60°C, potentially causing an efficiency decrease of about 3%. The system further adjusts the power value accordingly. To improve calculation stability, a time window averaging method is used, such as averaging the pressure and flow rate data within the last 5 seconds, thus avoiding the impact of instantaneous fluctuations on the results. The loss coefficient is dynamically matched based on the real-time flow rate, as loss is positively correlated with flow rate. For example, when the flow rate increases from 20 L / min to 30 L / min, the loss coefficient may increase from 0.08 to 0.15. Simultaneously, corrections are made based on pipeline structural parameters such as a total length of 3000 m, an inner diameter of 50 mm, and fluid temperature variations. For example, as the temperature rises to 70°C, the fluid viscosity decreases, reducing losses by approximately 2%. To improve calculation accuracy, a segmented modeling method can be used, dividing the entire transmission path into surface pipeline segments, wellhead connection segments, and wellbore tubing segments, calculating the losses of each segment separately and then summing them up. Furthermore, the system incorporates a safety margin, such as reserving an additional 5% power allowance to cope with sudden pressure fluctuations or flow rate changes.

[0034] In this embodiment, step S4 includes the following steps: Identify the sequential dependencies and task times between each task stage; Based on the sequential dependency relationship and the job time, identify the synchronous job time period and mark the synchronous job window; Based on the initial power allocation parameters, the power superposition calculation of the synchronization window is performed to obtain the power superposition value of the synchronization window; Based on the operating condition characteristics, the power superposition value is modified according to the operating condition requirements to generate the target power requirement value.

[0035] In this embodiment, the work process is divided into a setting stage, a drilling stage, and a repair stage, and further subdivided into sub-processes. For example, the setting stage includes three sub-stages: pressure establishment, seal expansion, and pressure stabilization. By reading the work design plan and historical work database, the duration of each stage is statistically analyzed. The setting stage lasts approximately 8 to 10 minutes, the drilling stage approximately 25 minutes, and the repair stage approximately 35 minutes. A directed relation modeling method is used, treating each stage as a node and the dependencies between stages as constraints. For example, the drilling stage is allowed only after the setting stage is completed and the pressure stabilizes at 30 MPa for 60 minutes, and the repair stage only begins after the drilling is completed. Considering the potential for local overlap in actual working conditions, repair preparation can be started 3 to 5 minutes before the end of the drilling stage. The start and end times of each stage are recorded using timestamps, and a unified timeline is established, such as a complete work cycle from 0 minutes to 80 minutes, mapping each stage to a corresponding interval.

[0036] The time intervals of each stage and sub-task are mapped to a unified time axis. For example, the drilling stage is defined as min 10 to 35, and the repair preparation stage is defined as min 30 to 40. Then, the overlapping areas are identified through interval overlap calculations. For example, min 30 to 35 is a 5-minute synchronous operation window. During the identification process, to avoid misjudgments caused by short-term disturbances, the system sets a minimum synchronization time threshold; for example, only when the overlap time exceeds 2 minutes is it marked as a valid synchronization window. Dynamic corrections are made based on real-time operation data. For example, if the drilling stage is extended to 40 minutes due to formation changes, the synchronization window is automatically adjusted to the 35 to 40 minute interval. Two to three synchronization windows are identified, with durations of 3 minutes, 5 minutes, and 4 minutes, respectively. Each window is numbered and labeled with the type of operation and time range involved. For example, synchronization window 1 is the overlapping interval of drilling and repair preparation, with a time range of min 30 to 35.

[0037] The power values ​​corresponding to each task within the synchronization window are extracted. In a certain synchronization window, the mechanical drive power during the drilling stage is approximately 7 kW, the hydraulic auxiliary power is approximately 3 kW, and the repair preparation stage requires approximately 4 kW of hydraulic power. Therefore, the total power demand within this window is initially superimposed to 14 kW. During the calculation process, different types of power need to be uniformly processed, for example, converting mechanical power and hydraulic power into equivalent power indices. To reduce the impact of instantaneous fluctuations, a time averaging method is used, calculating the power at sampling points every 0.5 seconds within the window and taking the average value to obtain a stable superposition result. The average power within this window is approximately 13.5 kW, with a peak value reaching 15 kW. The superposition result is compared with the maximum power limit. For example, when the system limit is 12.5 kW, it indicates a risk of power overload.

[0038] In this embodiment, step S5 includes the following steps: The demand deviation is calculated based on the maximum power limit value and the target power demand value. If the maximum power limit value is not less than the target power demand value, then full power output is performed. When the upper limit constraint of power allocation is less than the target power demand value, calculate the minimum power demand value for each stage of the synchronous operation window; Identify the stage priority of the synchronous job window; Dynamic power allocation is performed based on the stage priority and the minimum power requirement, and the power allocation result is output.

[0039] In this embodiment, the maximum power limit value, for example, 12.5 kW, is obtained from the preceding calculation module, and the target power demand value calculated by the synchronous operation window, for example, 14.2 kW, is also obtained. The demand deviation value, for example, 1.7 kW, is calculated through the difference, and the deviation ratio, for example, approximately 13.6%, is further calculated. A dual-mode control strategy is set in the judgment logic. When the maximum power limit value is greater than or equal to the target power demand value, it enters the full-output mode, outputting a stable value according to the target power demand, for example, 14.2 kW, while maintaining coordinated operation of the hydraulic and mechanical systems. When the maximum power limit value is less than the target power demand value, it enters the power-limited mode, requiring decomposition scheduling. If, during a downhole operation, the upper limit is only 12.5 kW due to pipeline losses and pump station limitations, while the demand is 14.2 kW, the deviation status is continuously recorded, and smoothing is performed using a sliding time window, for example, taking a 5-second average value to avoid misjudgment due to instantaneous fluctuations.

[0040] The synchronous operation window is divided into multiple stages, including the main drilling stage, the setting and stabilization stage, and the repair auxiliary stage. Initial power requirements for each stage are extracted, for example, 7 kW for the drilling stage, 3 kW for the setting stage, and 4 kW for the repair stage, for a total requirement of 14 kW. Minimum sustaining power thresholds are established based on experimental calibration data, for example, a minimum sustaining power of 5.5 kW for the drilling stage, 2 kW for the setting stage, and 2.5 kW for the repair stage. Under constrained conditions, the total available power is 12.5 kW. The system uses a constraint optimization method to compress and reconstruct the power for each stage, ensuring the total power meets the upper limit constraint while guaranteeing that each stage does not fall below the minimum sustaining threshold. During allocation, priority is given to stages with the greatest impact on operational continuity; for example, the drilling stage has the highest priority and therefore the smallest compression ratio, while the repair stage has the largest compression ratio. The system also references historical data; for example, in similar formations, a minimum drilling sustaining power below 5 kW may trigger a stuck drill risk, thus a safety lower limit is set.

[0041] Basic priorities are assigned based on the operational function. For example, the drilling stage directly affects wellbore connectivity and is given the highest priority, such as 0.9. The setting stage ensures sealing stability and has a priority of approximately 0.8. The repair stage restores the structure and has a priority of approximately 0.6. Dynamic adjustments are made based on real-time operating conditions. For instance, when torque fluctuations reach 60 N / m, the priority of the drilling stage is increased; when the pressure change rate exceeds 1.5 MPa / s, the priority of the setting stage is increased; and when there are abnormal displacement fluctuations, the priority of the repair stage is increased. For example, during a downhole operation in hard formation, the drilling load increases significantly, automatically raising its priority to the highest level. A weighted scoring mechanism is used to integrate static priorities with dynamic operating condition factors, and the scores are used to form the final priority sequence. Priorities are refreshed every 5 seconds to adapt to changes in downhole operating conditions.

[0042] Basic power is allocated according to priority, for example, 5.5 kW is prioritized for the drilling stage, followed by 2 kW for the setting stage, and finally 2.5 kW for the repair stage, bringing the total basic power to 10 kW. With a total power limit of 12.5 kW, the remaining 2.5 kW is used as a dynamic adjustment power pool to optimize performance in critical stages. Secondary allocation is performed based on real-time operating conditions; for example, when torque fluctuations are large, additional power is prioritized for the drilling stage to enhance stability, and when pressure changes are large, it is prioritized for the setting stage to improve sealing reliability. In experimental conditions, for example, after receiving an additional 1.5 kW compensation in the drilling stage, the total power increased to 7 kW, reducing torque fluctuations by approximately 15% and significantly improving stability. A periodic iterative mechanism is used, recalculating the power allocation results every 0.5 seconds to ensure that the total power never exceeds the upper limit and meets the minimum power requirements of each stage. The dynamic power allocation results for each stage are output, including real-time power values ​​and trend curves, achieving stable and coordinated control of multi-stage downhole operations.

[0043] In this embodiment, step S6 is as follows: The downhole power equipment is driven to perform operations based on the power distribution results, and load feedback information is monitored in real time; the load feedback information includes equipment torque changes, pressure fluctuations, and displacement response; Based on the load feedback information, analyze the actual power output status and generate the actual output status. Calculate the target allocation state based on the power allocation results; The response deviation is calculated based on the actual output state and the target allocation state to obtain the response deviation value; The power allocation ratio is fine-tuned based on the response deviation value to perform the power allocation operation.

[0044] In this embodiment, control signals are sent to the hydraulic pump station, motor drive unit, and execution tool according to the power allocation results. For example, the 7 kW power output during the drilling stage is converted into a combined control command of approximately 320 rpm and approximately 240 N / m torque; the 3 kW power during the setting stage is converted into a pressure control target of approximately 30 MPa; and the 2.5 kW power during the repair stage is converted into a flow control target of approximately 22 L / min. During equipment execution, a high-frequency load monitoring mechanism is simultaneously activated to continuously collect key operating parameters, including three types of information: torque changes, pressure fluctuations, and displacement response. The torque sampling frequency is set to 100 Hz to capture changes in drilling resistance, typically ranging from 200 to 300 N / m; the pressure sampling range is 0 to 40 MPa to monitor the setting and sealing status, with normal fluctuations controlled within ±0.8 MPa; and the displacement response sampling accuracy reaches 0.1 mm to reflect the tool advance speed and repair progress. In actual downhole experiments, for example, when entering high-hardness sandstone layers, the torque may instantly rise to 310 N per meter, while the pressure fluctuates by 0.6 MPa. The system records these data in real time and aligns them through a time synchronization mechanism, with the time error controlled within 10 ms, thereby forming a continuous load feedback data stream.

[0045] The raw data is filtered, for example, by using a 5-second sliding time window to smooth torque, pressure, and displacement data, eliminating the influence of instantaneous impact noise. Torque changes are converted into mechanical power estimates; for example, when the torque is stable at 240 N / m and the speed is 320 rpm, the corresponding mechanical output power is approximately 7.8 kW. Pressure and flow data are converted into hydraulic power; for example, 30 MPa and 22 L / min correspond to approximately 3.4 kW of hydraulic power. Through multi-source power fusion calculation, the current total actual output power fluctuates between approximately 11.2 kW and 11.6 kW. Further fluctuation characteristic evaluation is introduced, such as torque fluctuation amplitude of approximately 30 N / m, pressure fluctuation of approximately 0.5 MPa, and displacement response change rate of approximately 0.15 mm / s, to determine the equipment operating status. When the fluctuation amplitude is low, it is determined to be a stable output state; when the torque fluctuation exceeds 50 N / m, it is determined to be a high-load disturbance state. In experimental conditions, such as when entering dense formations, torque and pressure rise synchronously, which is identified as a medium-to-high load state. The actual output state is then output, including the current power level, load fluctuation level, and operational stability indicators.

[0046] A target power allocation state needs to be constructed based on the power allocation results as a standard reference model. In specific implementation, the system uses preset power allocation results as a basis, such as 7 kW for the drilling stage, 3 kW for the setting stage, and 2.5 kW for the repair stage, and performs time alignment processing in conjunction with the synchronous operation window to ensure that the target state is consistent with the actual execution cycle. The power allocation results are converted into physical execution targets, such as a target torque of 240 N / m and a rotation speed of 320 rpm for the drilling stage, a target pressure of 30 MPa and a stable flow rate of 20 L / min for the setting stage, and a target flow rate of 22 L / min and a displacement response of approximately 2 mm / s for the repair stage. During the construction of the target state, environmental correction factors also need to be introduced. For example, when the downhole temperature reaches 120°C, the hydraulic efficiency decreases by approximately 5%, so the target pressure for the setting stage is corrected to 31 MPa to ensure the actual sealing effect. The influence of formation resistance is also considered; for example, the drilling resistance increases in high-hardness rock formations, allowing the target torque to be increased by 5% to maintain drilling efficiency. The final result is a multi-dimensional target state vector that includes power, pressure, torque and displacement targets, and an allowable deviation range is set, such as power deviation ±5% and pressure deviation ±1 MPa, thus providing a standard benchmark for deviation calculation.

[0047] The differences in four dimensions—power, torque, pressure, and displacement—were calculated separately. For example, the target power of 11.5 kW deviated by 0.3 kW from the actual 11.2 kW; the target torque of 240 N / m deviated by 5 N / m from the actual 245 N / m; the target pressure of 30 MPa deviated by 0.6 MPa from the actual 29.4 MPa; and the target displacement of 2 mm / s deviated by 0.2 mm / s from the actual 1.8 mm / s. During the calculation, a weighted fusion model was used for unified quantification, with power weighted at 0.4, torque at 0.3, pressure at 0.2, and displacement at 0.1. After normalization, a comprehensive deviation value was obtained, fluctuating within the range of 0.18 to 0.25. A 5-second sliding window was used for smoothing to avoid misjudgments caused by instantaneous shocks. In the experimental well, for example, when entering a high-resistivity formation, the torque deviation might briefly rise to 15 N / m, but the time averaging mechanism suppressed the abnormal influence. The final output is the response deviation value and its trend curve, providing a basis for subsequent power fine-tuning.

[0048] The adjustment intensity is determined based on the magnitude of the deviation. For example, when the deviation is less than 0.1, only fine-tuning is performed; when the deviation is greater than 0.2, a strengthened correction mode is entered. The power ratio is adjusted according to the load sensitivity of each stage. For instance, when the torque deviation is large, the power in the drilling stage is increased from 7 kW to 7.5 kW, while the power in the repair stage is reduced by 0.3 kW to maintain overall power balance. When the pressure deviation is large, the power in the setting stage is increased from 3 kW to 3.3 kW to enhance sealing stability. For example, if the torque in a certain well section is consistently high, resulting in a deviation of 0.24, fine-tuning reduces torque fluctuation by approximately 18%, significantly improving stability. A 0.5-second cycle update mechanism is used during the adjustment process to continuously calculate the latest deviation and correct the power ratio, while strictly constraining the total power to not exceed the upper limit of 12.5 kW and ensuring that each stage does not fall below the minimum maintenance power threshold. Ultimately, a new dynamic power allocation result is formed and continuously drives the equipment operation, achieving adaptive control and stable output for multi-stage downhole operations.

[0049] In this embodiment, the specific steps for fine-tuning the power allocation ratio based on the response deviation value to perform the power allocation operation are as follows: Pattern recognition is performed based on response deviation values ​​to classify transient impact deviations into continuous drift deviations; When the response deviation is a transient impulse type deviation, local power compensation calculation is performed to generate transient compensation power; When the response deviation is a continuous drift type deviation, the ratio of rotational power to propulsion power is adjusted according to the real-time operating conditions to generate an adaptive power ratio. The power allocation results are updated in real time based on the transient compensation power and adaptive power ratio, and the latest allocation results are output.

[0050] In this embodiment, a sliding analysis window is constructed using the continuous time series response deviation as input. For example, a time window of 5 to 10 seconds is used to continuously sample the deviation, and the deviation change rate and duration characteristics are calculated. Transient impact deviation typically exhibits a rapid increase followed by a rapid decrease within a short period of time. For example, the deviation jumps from 0.12 to 0.30 within 0.6 seconds and then falls back to around 0.15 within 3 seconds. In contrast, persistent drift deviation exhibits a slow, unidirectional increase or a stable shift. For example, the deviation gradually increases from 0.10 to 0.25 within 60 seconds and remains stable without decreasing. For instance, when drilling through hard and brittle interbedded formations, a sudden increase in torque causes the deviation to reach 0.28, but it returns to the normal range within 2 to 4 seconds. This situation is identified as transient impact deviation. In contrast, during long-distance high-resistivity sandstone drilling, the deviation gradually increases from 0.12 to 0.26 due to continuous increases in frictional resistance and remains stable for more than 40 seconds. This is identified as persistent drift deviation. A combined determination mechanism based on the rate of change threshold and duration is adopted. For example, a rate of change greater than 0.08 seconds and a duration less than 5 seconds is determined to be a transient impact type deviation, while a rate of change less than 0.03 seconds and a duration more than 20 seconds is determined to be a continuous drift type deviation.

[0051] The system identifies the operational stage where the impact occurs, such as the drilling or setting stage, and extracts corresponding real-time load change information, such as a sudden increase in torque to 310 N / m or a pressure fluctuation reaching 0.7 MPa. The compensation power increment is calculated based on the deviation amplitude. For example, when the deviation is 0.28, the compensation coefficient is dynamically set between 0.6 and 0.8, and constrained calculations are performed in conjunction with the current power margin. For instance, when encountering a dense interlayer, the instantaneous resistance increases by approximately 15%, and a transient compensation power of approximately 0.9 kW is calculated within 1 second. This is then added to the base power of 7 kW during the drilling stage, increasing the instantaneous output to approximately 7.9 kW, thereby quickly offsetting the load impact. The compensation process employs a time decay mechanism, gradually reducing the compensation power within a range of 3 to 8 seconds to avoid continuous overload while ensuring the total power does not exceed the 12.5 kW upper limit. In multiple experiments, this mechanism reduced torque fluctuations by approximately 10% to 15%, effectively improving short-term operational stability. The final output is the transient compensation power value and its duration.

[0052] Trend modeling analysis is performed on response deviation data from the past 30 to 120 seconds, using methods such as exponential smoothing or linear fitting to determine whether the deviation growth trend is continuously increasing. When the deviation shows a continuous monotonically increasing trend, it is identified as a drift-type deviation, triggering a proportional reconstruction mechanism. During the advancement of high-friction sandstone layers, the continuously increasing torque leads to an increase in rotational load, while the decrease in advancement speed weakens the displacement response. The identified deviation gradually increases from 0.12 to 0.25 and persists. At this point, the original power ratio, such as 60% rotational power and 40% advancement power, is gradually adjusted to 65% to 70% rotational power and 30% to 35% advancement power to enhance rock-breaking ability and improve advancement efficiency. A gradual update mechanism is used during the adjustment process, for example, adjusting the ratio every 5 seconds, with a single change not exceeding 3% to avoid oscillations. At the same time, constraints are applied based on the pressure and torque coupling relationship to prevent excessive increase in rotational power from causing hydraulic overload. Finally, a stable adaptive power ratio is generated for subsequent power redistribution control.

[0053] Transient compensation power is superimposed on the current base power allocation result. For example, 0.9 kW of transient compensation power is superimposed on the 7 kW power during the drilling stage, bringing the short-term output to 7.9 kW. Simultaneously, rotational and propulsion power are reallocated according to the adaptive power ratio. For example, rotational power is adjusted from 4.2 kW to 4.8 kW, and propulsion power from 2.8 kW to 2.2 kW, thereby optimizing the synergistic efficiency of rock breaking and propulsion. During the update process, a dual-layer control structure is adopted: the upper layer is responsible for power ratio adjustment, and the lower layer is responsible for total power constraint control, ensuring that the overall output does not exceed the 12.5 kW upper limit. When the total power after superimposed compensation approaches the upper limit, the power in the repair stage is automatically compressed to maintain balance. When transient impact and continuous drift coexist, transient compensation is first executed to suppress the impact, and then the long-term drift is corrected through ratio adjustment, reducing torque fluctuation by approximately 18% to 20% and improving propulsion efficiency by approximately 8% to 12%. Finally, the latest power allocation result is output, including power values ​​for each stage, rotational propulsion ratio, and compensation parameters, achieving continuous adaptive control and stable operation of the downhole power equipment.

[0054] In this embodiment, a dynamic operating condition power distribution system for downhole power equipment is provided, used to execute the dynamic operating condition power distribution method for downhole power equipment as described above, including: The initial allocation module is used to receive the operational task target based on the downhole power equipment; and to determine the initial power allocation parameters for each stage according to the operational task target. The data acquisition module is used to collect equipment operating parameters during the real-time execution of the operation phase; and to calculate and generate real-time operating condition characteristics based on the equipment operating parameters. A maximum power module is used to identify the output status parameters of the ground hydraulic pump station and calculate the maximum power limit value based on the output status parameters. The operating condition correction module is used to correct the initial power allocation parameters based on the operating condition characteristics to generate a target power demand value. The power allocation module is used to dynamically allocate power based on the maximum power limit and the target power demand, and output the power allocation result. The proportional fine-tuning module is used to drive downhole power equipment to perform operations based on power allocation results and monitor load feedback information in real time; and to perform power allocation ratio fine-tuning processing based on the load feedback information.

[0055] Therefore, the embodiments should be considered as exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of the equivalents of the application are intended to be included within the invention.

[0056] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement it. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein are implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features of the invention herein.

Claims

1. A dynamic power distribution method for downhole power equipment, characterized in that, Includes the following steps: Step S1: Receive the operational task objective based on the downhole power equipment; determine the initial power allocation parameters for each stage according to the operational task objective; Step S2: During the real-time execution of the operation phase, collect equipment operating parameters; calculate based on the equipment operating parameters to generate the operating condition characteristics of the real-time phase; Step S3: Identify the output status parameters of the ground hydraulic pump station; calculate the maximum power limit value based on the output status parameters; Step S4: Based on the operating condition characteristics, the initial power allocation parameters are modified according to the operating condition requirements to generate the target power requirement value; Step S5: Perform dynamic power allocation based on the maximum power limit and the target power demand, and output the power allocation result; Step S6: Drive the downhole power equipment to perform operations based on the power allocation results, and monitor the load feedback information in real time; perform fine-tuning of the power allocation ratio according to the load feedback information.

2. The dynamic operating condition power distribution method for downhole power equipment according to claim 1, characterized in that, The specific steps of step S1 are as follows: The downhole power equipment receives the operational task objectives; the operational task objectives include the operating depth, the target pressure maintenance capability after setting, the drilling depth, and the coverage of the repair area. The task objectives are analyzed in a structured manner to extract the target performance indicators and constraints for each stage; Theoretical power allocation is performed based on the target performance indicators and constraints to generate initial power allocation parameters for each stage.

3. The dynamic operating condition power distribution method for downhole power equipment according to claim 2, characterized in that, The specific steps of step S2 are as follows: During the real-time execution of the operation phase, equipment operating parameters are collected; these parameters include pressure, torque, displacement, flow rate, and rotational speed information. The equipment operating parameters are filtered and noise-reduced to obtain standard operating parameters; the operation stages include the setting stage, the drilling stage, and the repair stage. Based on standard operating parameters, the pressure change rate, torque fluctuation amplitude, and displacement response gradient in the real-time stage are calculated to generate the operating condition characteristics in the real-time stage.

4. The dynamic power distribution method for downhole power equipment according to claim 3, characterized in that, Step S3 is as follows: Identify the output status parameters of the ground hydraulic pump station, including the pump station's rated output pressure, real-time output flow rate, and pipeline transmission loss coefficient; Calculate the maximum effective power based on the pump station's rated output pressure and real-time output flow rate; Based on the pipeline transmission loss coefficient, the transmission path loss is corrected for the maximum effective power to generate the maximum power upper limit value.

5. The dynamic power distribution method for downhole power equipment according to claim 4, characterized in that, The specific steps of step S4 are as follows: Identify the sequential dependencies and task times between each task stage; Based on the sequential dependency relationship and the job time, identify the synchronous job time period and mark the synchronous job window; Based on the initial power allocation parameters, the power superposition calculation of the synchronization window is performed to obtain the power superposition value of the synchronization window; Based on the operating condition characteristics, the power superposition value is modified according to the operating condition requirements to generate the target power requirement value.

6. The dynamic operating condition power distribution method for downhole power equipment according to claim 5, characterized in that, The specific steps of step S5 are as follows: The demand deviation is calculated based on the maximum power limit value and the target power demand value. If the maximum power limit value is not less than the target power demand value, then full power output is performed. When the upper limit constraint of power allocation is less than the target power demand value, calculate the minimum power demand value for each stage of the synchronous operation window; Identify the stage priority of the synchronous job window; Dynamic power allocation is performed based on the stage priority and the minimum power requirement, and the power allocation result is output.

7. The dynamic operating condition power distribution method for downhole power equipment according to claim 6, characterized in that, The specific steps of step S6 are as follows: The downhole power equipment is driven to perform operations based on the power distribution results, and load feedback information is monitored in real time; the load feedback information includes equipment torque changes, pressure fluctuations, and displacement response; Based on the load feedback information, analyze the actual power output status and generate the actual output status. Calculate the target allocation state based on the power allocation results; The response deviation is calculated based on the actual output state and the target allocation state to obtain the response deviation value; The power allocation ratio is fine-tuned based on the response deviation value to perform the power allocation operation.

8. The dynamic operating condition power distribution method for downhole power equipment according to claim 7, characterized in that, The specific steps for fine-tuning the power allocation ratio based on the response deviation value to perform the power allocation operation are as follows: Pattern recognition is performed based on response deviation values ​​to classify transient impact deviations into continuous drift deviations; When the response deviation is a transient impulse type deviation, local power compensation calculation is performed to generate transient compensation power; When the response deviation is a continuous drift type deviation, the ratio of rotational power to propulsion power is adjusted according to the real-time operating conditions to generate an adaptive power ratio. The power allocation results are updated in real time based on the transient compensation power and adaptive power ratio, and the latest allocation results are output.

9. A dynamic power distribution system for downhole power equipment, characterized in that, The method for implementing the dynamic operating condition power distribution method for downhole power equipment as described in claim 1 includes: The initial allocation module is used to receive the operational task target based on the downhole power equipment; and to determine the initial power allocation parameters for each stage according to the operational task target. The data acquisition module is used to collect equipment operating parameters during the real-time execution of the operation phase; and to calculate and generate real-time operating condition characteristics based on the equipment operating parameters. A maximum power module is used to identify the output status parameters of the ground hydraulic pump station and calculate the maximum power limit value based on the output status parameters. The operating condition correction module is used to correct the initial power allocation parameters based on the operating condition characteristics to generate a target power demand value. The power allocation module is used to dynamically allocate power based on the maximum power limit and the target power demand, and output the power allocation result. The proportional fine-tuning module is used to drive the downhole power equipment to perform operations based on the power allocation results and to monitor load feedback information in real time; and to perform power allocation ratio fine-tuning processing based on the load feedback information.

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