Ultra-deep well efficient rock breaking method based on special-shaped compact cutting tooth drill bit

Abstract

The invention discloses an ultra-deep well efficient rock breaking method based on a special-shaped compact cutting tooth drill bit, and relates to the technical field of deep well rock breaking. The ultra-deep well efficient rock breaking method comprises the following steps that a first state event generated by a geosteering module is obtained; acquiring a second state event generated by a rock breaking parameter optimization module; the cooperative control center calls a preset cooperative strategy matrix for state matching based on the first state event and the second state event, a target cooperative strategy is determined, and the dimension of the cooperative strategy matrix is composed of geological demand strength and rock breaking efficiency strength; according to the target collaboration strategy, a collaboration instruction packet is generated, and the collaboration instruction packet at least comprises a track instruction sent to a track control module and a parameter adjustment constraint instruction sent to a rock breaking parameter optimization module; the cooperative instruction packet is issued to a track control module and a rock breaking parameter optimization module; the stability of the rock breaking efficiency is greatly improved.

Description

Technical Field

[0001] This invention relates to the field of deep well rock breaking technology, specifically to an efficient rock breaking method for ultra-deep wells based on a non-standard composite cutting tooth drill bit. Background Technology

[0002] Ultra-deep well drilling operations face complex geological and engineering challenges. For example, the Xinke 1 well needs to encounter multiple strata from the Quaternary to the Cambrian, including complex lithology such as Permian igneous rocks, Carboniferous gypsum-salt rocks, Ordovician high-pressure layers and Cambrian target layers. There are risks such as well leakage, stuck pipe, and high-pressure blowout. In addition, deep strata place extremely high demands on the wear resistance and attack performance of rock-breaking tools. Special-shaped composite cutting tooth drill bits are widely used because they have better wear resistance and attack performance.

[0003] Existing ultra-deep well reservoir steered drilling systems adopt a loosely coupled architecture, typically containing three isolated core modules: a geological steering decision module, a trajectory control execution module, and a rock-breaking parameter optimization module. The geological steering module issues trajectory adjustment commands based on logging-while-drilling data, while the rock-breaking parameter optimization module recommends optimal parameters such as drilling pressure and rotation speed based on operating conditions. The two lack an effective collaborative decision-making mechanism based on real-time status.

[0004] During ultra-deep well drilling, the geological steering module and the rock breaking parameter optimization module operate in isolation without a dynamic collaborative decision-making mechanism. This leads to mutual interference between the trajectory adjustment requirements of the geological steering and the efficient rock breaking target of the rock breaking parameter optimization. The frequent issuance of non-urgent trajectory adjustment commands causes frequent adaptation of rock breaking parameters, resulting in periodic precipitous drops in mechanical drilling speed. Conversely, when in a state of efficient rock breaking, non-urgent trajectory adjustments interrupt the efficient rock breaking cycle. It is impossible to achieve a dynamic balance between geological steering accuracy and rock breaking efficiency, which affects the stability of rock breaking efficiency and prolongs the overall well construction cycle. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a highly efficient rock-breaking method for ultra-deep wells based on a non-circular composite cutting tooth drill bit.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: This invention provides a highly efficient rock-breaking method for ultra-deep wells based on a non-circular composite cutting tooth drill bit, comprising the following steps: Acquire the first state event generated by the geological guidance module, wherein the first state event contains at least trajectory adjustment requirement information; The second state event generated by the rock breaking parameter optimization module is obtained, and the second state event contains at least the current rock breaking efficiency information. Based on the first state event and the second state event, the collaborative control center calls a preset collaborative strategy matrix to perform state matching and determine the target collaborative strategy. The dimensions of the collaborative strategy matrix are composed of geological demand intensity and rock breaking efficiency intensity. According to the target coordination strategy, a coordination instruction package is generated. The coordination instruction package includes at least a trajectory instruction sent to the trajectory control module and a parameter adjustment constraint instruction sent to the rock breaking parameter optimization module. The collaborative instruction package is sent to the trajectory control module and the rock breaking parameter optimization module respectively, so that the trajectory control module and the rock breaking parameter optimization module perform collaborative operations based on the collaborative instruction package.

[0007] As a preferred embodiment of the present invention, the acquisition of the first state event generated by the geological guidance module includes: Receive the trajectory adjustment request event triggered by the geological guidance module when the logging-while-drilling data meets the preset change conditions; The trajectory adjustment request event includes at least the adjustment type, suggested adjustment amount, distance to reservoir boundary, and adjustment confidence field.

[0008] As a preferred embodiment of the present invention, the second state event generated by the rock-breaking parameter optimization module includes: Receive the rock-breaking efficiency status event triggered by the rock-breaking parameter optimization module when the calculated rock-breaking efficiency index meets the preset fluctuation conditions; The rock-breaking performance status event includes at least the performance level, expected stability duration, and sensitivity coefficient field to trajectory disturbance.

[0009] As a preferred embodiment of the present invention, the step of calling a preset cooperative strategy matrix for state matching to determine the target cooperative strategy includes: Based on the information in the first state event, the geological demand intensity value is calculated; Based on the information in the second state event, the rock-breaking efficiency intensity value is calculated; Based on the geological demand intensity value and the rock breaking efficiency intensity value, the collaborative strategy matrix is ​​queried to obtain the corresponding target collaborative strategy identifier.

[0010] As a preferred embodiment of the present invention, generating a cooperative instruction package according to the target cooperative strategy specifically includes: When the target coordination strategy identifier corresponds to the efficiency priority strategy, the current instruction in the trajectory adjustment requirement information is merged and processed with the same-direction adjustment instructions received in the subsequent preset well section to obtain merged trajectory instruction data. Based on the merged trajectory instruction data, continuous wellbore trajectory adjustment instructions are generated. Based on the execution time planning of the continuous wellbore trajectory adjustment commands, a parameter pre-adaptation sequence command is generated and sent to the rock breaking parameter optimization module.

[0011] As a preferred embodiment of the present invention, after determining the target collaborative strategy, the ultra-deep well high-efficiency rock breaking method further includes: Write the identifier and key parameters of the target collaboration strategy into a globally shared collaboration context state table; Both the trajectory control module and the rock breaking parameter optimization module subscribe to changes in the collaborative context state table and call the control logic corresponding to the strategy identifier based on its current content.

[0012] As a preferred embodiment of the present invention, the ultra-deep well high-efficiency rock breaking method further includes a strategy switching prediction step: Based on geological prediction models and real-time drilling data, the dominant collaborative strategy is predicted for the well section of a predetermined length ahead, and the expected location for strategy switching is determined. When the distance between the drill bit position and the expected position is detected to be less than a preset distance, a strategy switching preparation notification is sent to the trajectory control module and the rock breaking parameter optimization module. When the drill bit reaches the expected position and the switching conditions are met, a state transition operation is performed, including: confirming that the trajectory adjustment cycle under the original collaborative strategy has been completed; sending a strategy unloading command to the trajectory control module and the rock breaking parameter optimization module; and issuing configuration information corresponding to the new collaborative strategy to the trajectory control module and the rock breaking parameter optimization module.

[0013] As a preferred embodiment of the present invention, the determination of the target cooperative strategy includes: Calculate the geological demand urgency score corresponding to the first state event; Obtain the rock-breaking efficiency score and expected remaining stabilization time in the second state event; If the geological demand urgency score exceeds the emergency threshold, the target collaborative strategy is determined to be a geological absolute priority strategy. If the geological demand urgency score does not exceed the emergency threshold, and the rock breaking efficiency score exceeds the high efficiency threshold, and the expected remaining stable time is greater than the minimum time window, then the target coordination strategy is determined to be an efficiency-first strategy that allows instruction delays and merged execution. Otherwise, the target coordination strategy is determined to be a conventional response strategy that generates trajectory instructions based on the trajectory adjustment requirement information and recommends rock-breaking parameters based on the current rock-breaking efficiency information.

[0014] As a preferred embodiment of the present invention, when the target cooperative strategy is determined to be an efficiency-first strategy that allows instruction delay merging and execution, the generation of the cooperative instruction package specifically includes: The current trajectory adjustment command is placed into the delayed execution buffer, and a delay timer is started. The duration of the delay timer is determined based on the product of the expected remaining stable time and the utilization coefficient, and does not exceed the maximum allowable delay time. If a new same-direction trajectory adjustment instruction is received in the delayed execution buffer before the delay timer expires, the instruction is merged. When the delay timer expires, the smoothed trajectory instruction is generated based on the merged instructions in the delayed execution buffer, and an instruction instructing the rock breaking parameter optimization module to start the parameter switching sequence is generated simultaneously.

[0015] As a preferred embodiment of the present invention, the ultra-deep well high-efficiency rock breaking method further includes an adaptive optimization process: After the collaborative strategy is completed, the actual effectiveness of the strategy is evaluated based on the actual reservoir encounter rate and mechanical drilling rate data. If the actual execution effect is lower than the expected effect threshold, the data related to the execution of the strategy will be stored in the case library for dynamic adjustment of the strategy matching rules or parameters in the collaborative strategy matrix when similar geological engineering conditions are encountered in the future.

[0016] The beneficial effects of this invention are: 1. In this invention, the first state event of the geological guidance module and the second state event of the rock breaking parameter optimization module are obtained through the collaborative control center. Based on the collaborative strategy matrix, the target collaborative strategy is matched. When the geological demand is not urgent and the rock breaking window is in full swing, the trajectory adjustment command is placed in the delayed execution buffer and the same-direction commands are merged to generate a smoothed trajectory command. At the same time, the parameter pre-adaptation sequence command is issued to the rock breaking parameter optimization module. This avoids hard interruption of the rock breaking process by the trajectory adjustment command, and provides the rock breaking parameter optimization module with undisturbed and efficient rock breaking time. Moreover, the parameter adjustment adapts to the trajectory change in advance, so that the sharp drop on the mechanical drilling rate curve is transformed into a gentle slope transition, which greatly improves the stability of rock breaking efficiency.

[0017] 2. In this invention, a predefined collaborative strategy matrix is ​​used to match geological demand intensity and rock-breaking efficiency intensity as dimensions, and target collaborative strategies such as absolute geological priority and efficiency priority trajectory smoothing are matched. At the same time, the dominant collaborative strategy and switching boundary of the well section ahead are predicted by periodic formation prediction coprocesses. When approaching the switching boundary, a preparatory notification is sent. After reaching the boundary, a state transition protocol is executed to achieve a smooth transition of strategy. This allows the system to use aggressive rock-breaking parameters and smooth trajectory to sprint footage in high-efficiency areas such as thick reservoirs, and switch to fine guidance and parameter following to ensure drilling success rate in precision areas such as thin reservoirs. This avoids the efficiency sacrifice or insufficient accuracy caused by a single strategy, realizes dynamic resource scheduling at the global level, and effectively shortens the well construction cycle. Attached Figure Description

[0018] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0019] Figure 1 This is a schematic diagram of the workflow of the ultra-deep well high-efficiency rock breaking method based on the non-shaped composite cutting tooth drill bit of the present invention. Detailed Implementation

[0020] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0021] like Figure 1 As shown, the efficient rock-breaking method for ultra-deep wells based on irregularly shaped composite cutting tooth drill bits includes the following steps: Acquire the first state event generated by the geological guidance module, wherein the first state event contains at least trajectory adjustment requirement information; The second state event generated by the rock breaking parameter optimization module is obtained, and the second state event contains at least the current rock breaking efficiency information. Based on the first state event and the second state event, the collaborative control center calls a preset collaborative strategy matrix to perform state matching and determine the target collaborative strategy. The dimensions of the collaborative strategy matrix are composed of geological demand intensity and rock breaking efficiency intensity. According to the target coordination strategy, a coordination instruction package is generated. The coordination instruction package includes at least a smoothed trajectory instruction sent to the trajectory control module and a parameter adjustment constraint instruction sent to the rock breaking parameter optimization module. The collaborative instruction package is sent to the trajectory control module and the rock breaking parameter optimization module respectively, so that the trajectory control module and the rock breaking parameter optimization module perform collaborative operations based on the collaborative instruction package.

[0022] This invention primarily introduces a collaborative control hub as the global scheduling and decision-making center. This collaborative control hub is an independent software business logic component. It does not replace the professional functions of the original geological guidance module, trajectory control module, and rock breaking parameter optimization module. Instead, it achieves system-level collaborative operation by listening to, integrating, and arbitrating status information from the former two and issuing coordinated instructions to the latter two.

[0023] Furthermore, the first state event generated by the geological guidance module includes: Receive the trajectory adjustment request event triggered by the geological guidance module when the logging-while-drilling data meets the preset change conditions; The trajectory adjustment request event includes at least the adjustment type, suggested adjustment amount, distance to reservoir boundary, and adjustment confidence field.

[0024] Specifically, this step is achieved by receiving trajectory adjustment request events triggered by the geological guidance module under specific conditions. The geological guidance module is a software system that continuously analyzes real-time logging-while-drilling data, such as gamma rays, resistivity, and sonic transit time. Its built-in algorithm model determines the position and attitude of the drill bit relative to the geological reservoir (such as oil or gas layers) in real time. The algorithm model mainly includes stratigraphic correlation, lithology identification, and interface detection algorithms.

[0025] Meeting preset change conditions in logging-while-drilling data is the core criterion for triggering trajectory adjustment events. These conditions consist of a series of preset logical rules or thresholds. For example, when the real-time gamma value changes abruptly relative to the background value and exceeds a certain threshold, it may indicate that the drill bit is about to drill out of the reservoir and enter the mudstone caprock; or, when the resistivity curve shows a specific morphological change, it may indicate the presence of physical property interlayers inside the reservoir.

[0026] Once the algorithm model of the geological steering module determines that such preset change conditions are met, it means that the current well trajectory may have deviated from the optimal reservoir target position, or needs to be actively adjusted to track the fluctuations of the reservoir top and bottom interface. At this time, the geological steering module will immediately generate and issue a trajectory adjustment request event. This triggering mechanism ensures that the geological steering intention can be captured in a timely and automatic manner, rather than relying on intermittent manual judgment.

[0027] The trajectory adjustment request event is a structured data object that contains at least the following fields: Adjustment type: This field indicates the basic action direction required to achieve the geological objective. It usually includes three basic types: increase inclination, decrease inclination, and stabilize inclination. Increase inclination means increasing the well inclination angle to track upward, decrease inclination means decreasing the well inclination angle to track downward, and stabilize inclination means maintaining the current well inclination angle. Recommended Adjustment Amount: This field is a quantitative value that specifies the recommended change in well inclination angle or tool face angle to achieve the adjustment type, such as "increase inclination by 0.3°" or "decrease inclination by 0.2°". This value is calculated by the geological steering module based on geological model parameters such as the distance from the reservoir center and the dip angle of the formation. Distance to reservoir boundary: This field represents the estimated vertical or slant depth of the nearest top or bottom boundary of the reservoir, based on current logging data and geological model predictions. This distance is one of the core parameters for assessing the urgency of trajectory adjustments. Adjustment Confidence: This field is a quantitative value (e.g., a decimal or percentage between 0 and 1) that indicates the reliability of the proposed adjustment. It is calculated based on the quality of the logging data used, the degree of matching between the geological model and the actual drilling data, and the stability of the algorithm itself. A higher adjustment confidence means that the geological basis for the adjustment requirement is sufficient; a lower confidence may indicate that more data is needed or that the instruction should be treated with caution.

[0028] For example, in actual drilling operations of ultra-deep wells, such as when drilling the interface between the Ordovician Santamu Formation and the Lianglitag Formation in the Xinke 1 well, the geological steering module identifies the location of the reservoir top boundary by analyzing the abrupt change characteristics of the gamma logging data while drilling, and generates a trajectory adjustment request event that includes the "decline" adjustment type, the suggested adjustment amount of "0.3° / 10m", the distance to the reservoir boundary of "2.5m", and the adjustment confidence level of "0.85". This event is sent to the collaborative control center in real time as an important input basis for collaborative decision-making.

[0029] By defining and generating trajectory adjustment request events containing the aforementioned explicit fields, the geological guidance module transforms its professional geological interpretation conclusions into standardized engineering instruction requests that can be understood and processed by the collaborative control center, providing accurate and structured input for subsequent collaborative decision-making.

[0030] Furthermore, the second state event generated by the rock-breaking parameter optimization module includes: Receive the rock-breaking efficiency status event triggered by the rock-breaking parameter optimization module when the calculated rock-breaking efficiency index meets the preset fluctuation conditions; The rock-breaking performance status event includes at least the performance level, expected stability duration, and sensitivity coefficient field to trajectory disturbance.

[0031] The rock breaking parameter optimization module is a software system that analyzes downhole engineering parameters in real time and applies optimization algorithms to recommend the optimal combination of rock breaking parameters. Its core function is to dynamically evaluate the efficiency and status of the current rock breaking process. Downhole engineering parameters include mechanical drilling speed, drilling pressure, rotational speed, torque, etc., and optimization algorithms include drill bit specific energy model, mechanical specific work analysis, torque fluctuation analysis, etc.

[0032] The calculated rock-breaking efficiency index meeting preset fluctuation conditions is the key criterion for triggering rock-breaking efficiency state events. These conditions consist of a series of preset algorithm rules and thresholds. The rock-breaking efficiency index is an intermediate calculation result used to quantify rock-breaking efficiency. Examples of rock-breaking efficiency indices include: Mechanical drilling rate of change rate: the rate of change of mechanical drilling rate per unit time; Torque fluctuation index: A quantitative indicator reflecting the stability of downhole torque, used to assess whether rock breaking is uniform or if there is any stagnation; Drill bit specific energy: the energy consumed to break a unit volume of rock, which is a direct indicator of rock breaking efficiency; When the real-time calculation model of the rock breaking parameter optimization module determines that these indicators have changed significantly, such as the mechanical drilling speed entering a stable high-speed platform from a slowly changing range, or the torque fluctuation index suddenly increasing to indicate that the drill bit may enter the fracture zone, or the drill bit specific energy decreasing significantly to indicate that the current parameter combination has reached an efficient state, that is, the preset fluctuation conditions are considered to be met, the rock breaking parameter optimization module will actively generate and send a rock breaking efficiency status event. This mechanism ensures that the status changes of engineering rock breaking efficiency can be identified and reported in real time and automatically.

[0033] Similarly, the rock-breaking performance status event is a data object that encapsulates key assessment information about the current rock-breaking status. This event contains at least the following fields: Efficiency Level: This field is a qualitative or quantitative indicator that comprehensively evaluates the current rock breaking efficiency. For example, it can be divided into qualitative levels such as "high efficiency and stable zone", "efficiency transition zone", and "low efficiency bottleneck zone", or it can be a quantitative score (such as 0-100) calculated based on multiple indicators. This level intuitively reflects the working status of the drill bit under the current formation and parameters. Expected stabilization duration: This field is a predicted value, representing the approximate length of time that the currently assessed efficiency level can be maintained based on the current formation lithology trend, drill bit wear status, and historical data models. This duration is an important basis for determining whether it is worthwhile to buy time for the current high efficiency status. Sensitivity coefficient to trajectory disturbance: This field is a quantitative engineering parameter that characterizes the sensitivity of the current rock breaking state (determined by specific drilling pressure, rotation speed, formation hardness, and drill bit type) to changes in drill string lateral force and tool face angle caused by wellbore trajectory adjustments. A higher sensitivity coefficient means that a small adjustment to the trajectory may lead to a significant decrease in mechanical drilling rate or drastic fluctuations in torque; conversely, a lower coefficient indicates that the current state is more adaptable to trajectory adjustments. This coefficient is usually calculated by the module based on the drill bit mechanical model and real-time operating data.

[0034] For example, in actual drilling operations of ultra-deep wells, when using a non-standard composite cutting tooth drill bit to drill into the homogeneous limestone formation of the Ordovician Yingshan Formation in the Xinke 1 well, the mechanical drilling rate calculated in real time by the rock breaking parameter optimization module is consistently greater than 8 m / h, the torque fluctuation index is less than 5%, and the specific energy of the drill bit is stable at 0.8 kN·m / m³. These rock breaking efficiency indicators all meet the preset high-efficiency rock breaking state conditions. At this time, the rock breaking parameter optimization module automatically generates a rock breaking efficiency state event that includes the efficiency level of the "high-efficiency stable zone", the expected stability duration of "15 minutes", and the sensitivity coefficient of "0.3" to trajectory disturbance. This event is sent to the collaborative control center in real time as an important input basis for collaborative decision-making.

[0035] By generating and reporting rock-breaking performance status events containing the aforementioned explicit fields, the rock-breaking parameter optimization module transforms its complex internal engineering performance evaluation results into standardized status inputs that can be used by the collaborative control center for collaborative decision-making. This provides crucial quantitative basis for determining when to protect the high-efficiency rock-breaking window and when to perform trajectory adjustments.

[0036] Furthermore, the step of invoking a preset collaborative strategy matrix to perform state matching and determine the target collaborative strategy includes: Based on the information in the first state event, the geological demand intensity value is calculated; Based on the information in the second state event, the rock-breaking efficiency intensity value is calculated.

[0037] The trajectory adjustment demand information carried in the first state event is the basis for the calculation. The geological demand intensity value is a comprehensive quantitative indicator. Its calculation process integrates multiple parameters that reflect the urgency and importance of geological guidance. Usually, the calculation function of this value mainly considers reservoir-related parameters and decision credibility parameters. Reservoir-related parameters, such as the current reservoir thickness (or its characteristic inverse, thinner layers usually mean higher adjustment requirements), and the "distance to reservoir boundary" field obtained from trajectory adjustment requirement events, show that the closer to the reservoir boundary, the higher the geological demand intensity value, because it is necessary to prevent drilling out of the reservoir. The decision credibility parameter, namely the "adjustment confidence" field obtained from the trajectory adjustment demand event, will increase the weight of the calculated geological demand intensity value if the confidence level is higher, indicating that the geological basis for this adjustment demand is reliable. Then, through specific algorithms (such as weighted summation, fuzzy logic calculation, etc.), these parameters are combined into a scalar value, namely the geological demand intensity value, which intuitively quantifies the necessity of the current trajectory adjustment from a geological perspective.

[0038] The current rock-breaking efficiency information carried in the second state event is the basis for the calculation. The rock-breaking efficiency intensity value is a comprehensive quantitative index used to characterize the efficiency level and state value of the current rock-breaking process. Its calculation process mainly considers efficiency state parameters, stability and sustainability parameters, and engineering sensitivity parameters. The performance status parameter is the "performance level" field obtained from the rock breaking performance status event. This level itself may be a quantitative score or a qualitative description that can be mapped to a score. Stability and sustainability parameters, namely the "expected stability duration" field obtained from rock-breaking efficiency state events, indicate that a longer stability duration means that the current high efficiency state has a higher maintenance value, thereby increasing the rock-breaking efficiency intensity value. The engineering sensitivity parameter, namely the "sensitivity coefficient to trajectory disturbance" obtained from the rock breaking efficiency state event, means that the current state has a higher tolerance for trajectory adjustment, which may increase its strength value to a certain extent because the risk of adjustment is relatively small. Conversely, an extremely high sensitivity coefficient may mean that although the current efficiency is high, it is extremely fragile. When calculating the strength value, it is necessary to balance its efficiency and fragility. When encountering homogeneous hard formations in ultra-deep wells, such as the Ordovician Yingshan Formation limestone section of Xinke 1 well, the rock-breaking efficiency value is usually high, indicating that the drill bit is in a state of high-efficiency rock breaking. Then, these parameters are integrated into a scalar value, namely the rock-breaking efficiency intensity value, which quantitatively characterizes the rock-breaking efficiency level of the current irregular composite cutting tooth drill bit in the formation.

[0039] Next, the sub-step is executed: based on the geological demand intensity value and the rock breaking efficiency intensity value, the collaborative strategy matrix is ​​queried to obtain the corresponding target collaborative strategy identifier; The collaborative strategy matrix can be a predefined two-dimensional mapping table, where the horizontal axis represents the geological demand intensity value and the vertical axis represents the rock breaking efficiency intensity value. Each coordinate point in the matrix corresponds to a specific target collaborative strategy identifier. For example, when the coordinate point is located in a region with high rock breaking efficiency intensity value and low geological demand intensity value, it is mapped to the "efficiency priority strategy" identifier; when the coordinate point is located in a region with high geological demand intensity value, it is mapped to the "geological absolute priority strategy" identifier regardless of the rock breaking efficiency intensity value.

[0040] The cooperative strategy matrix predefines a variety of cooperative strategies, each associated with a unique strategy identifier, and specifies the trajectory instruction processing rules, parameter adjustment range limits, and instruction execution triggering conditions.

[0041] The trajectory instruction processing rules define how to process the original trajectory adjustment instructions issued by the geological guidance module, such as direct execution, delayed execution, merged execution, or smooth processing. The parameter adjustment range limit specifies the maximum allowable range of parameter changes in the rock breaking parameter optimization module when adjusting the response trajectory, preventing aggressive parameter adjustments from causing downhole complexity. The instruction execution triggering conditions clarify the specific execution timing of trajectory instructions and parameter adjustments under each collaborative strategy, such as immediate execution, execution delayed until the end of the high-efficiency period, or execution after accumulating to a certain amount.

[0042] This matrix design enables the system to intelligently match the optimal control strategy based on real-time geological and engineering conditions, achieving global optimization of wellbore trajectory accuracy and rock breaking efficiency.

[0043] Furthermore, generating the collaborative instruction package according to the target collaborative strategy specifically includes: When the target coordination strategy identifier corresponds to the efficiency priority strategy, the current instruction in the trajectory adjustment requirement information is merged and smoothed with the subsequent same-direction adjustment instructions received in the preset well section to obtain merged trajectory instruction data. Based on the merged trajectory instruction data, continuous wellbore trajectory adjustment instructions are generated. When the collaborative control center determines that an efficiency-first strategy should be adopted, it means that the system believes that maximizing the current high-efficiency rock breaking window is of higher value under the premise of meeting basic geological guidance requirements. At this time, for the trajectory adjustment requirement information from the geological guidance module, the collaborative control center will not immediately send the trajectory adjustment instruction (i.e. the current instruction) to the trajectory control module. Instead, it will start an instruction caching and processing mechanism. The subsequent preset well section is a pre-set length parameter, such as a drilling interval of 1 meter or 2 meters in the future. The collaborative control center will temporarily store the current instruction in a buffer and continuously monitor whether there are any new trajectory adjustment request events from the geological guidance module during the next drilling of the "subsequent preset well section". If the adjustment direction of the new event (such as increasing or decreasing inclination) is the same as the direction of the temporarily stored "current instruction", it is regarded as a same-direction adjustment instruction. Merging and smoothing refers to the process of integrating multiple small-amplitude adjustment commands in the same direction into a single adjustment command with a larger amplitude but a smoother change through algorithms (such as vector superposition, time series filtering, or curve fitting). For example, two consecutive deflection commands of 0.2° and 0.1° can be merged into a single deflection command of 0.3°. This may generate a continuous wellbore trajectory adjustment command that instructs the drill string to complete this 0.3° change at a constant angular velocity, rather than two abrupt step changes. The merged trajectory command data obtained after processing is the basis for generating the final continuous wellbore trajectory adjustment command.

[0044] Secondly, the operation is executed: based on the execution time planning of the continuous wellbore trajectory adjustment instructions, a parameter pre-adaptation sequence instruction is generated and sent to the rock breaking parameter optimization module.

[0045] The execution time planning includes the start time, duration, stage division, and curvature change rate of trajectory adjustment. The parameter pre-adaptation sequence instruction is a set of rock breaking parameter adjustment steps arranged in chronological order, which clearly specifies the parameter values ​​and change gradients of drilling pressure, rotation speed, and displacement to be used in each time period, so that the changes in rock breaking parameters are synchronized with the deformation process of the wellbore trajectory.

[0046] For example, when the continuous wellbore trajectory adjustment command is scheduled to start the deflection operation 10 minutes later, the parameter pre-adaptation sequence command will instruct the rock breaking parameter optimization module to gradually reduce the drilling pressure from 190kN to 175kN during this period to adapt to the lateral force changes in the initial stage of deflection increase. This ensures that when the trajectory adjustment is actually executed, the rock breaking parameters are in the optimal adaptation state, avoiding the negative impact of parameter mutations on rock breaking efficiency.

[0047] Furthermore, after determining the target collaborative strategy, the ultra-deep well high-efficiency rock breaking method also includes: Write the identifier and key parameters of the target collaboration strategy into a globally shared collaboration context state table; The globally shared collaborative context state table is a distributed in-memory data structure that stores the core parameters of the current collaborative working mode of the system in key-value pairs, including key information such as target collaborative strategy identifier, geological demand intensity value, rock breaking efficiency intensity value, parameter adjustment boundary conditions, and instruction execution time window; The design of this state table ensures that all modules in the system can perceive the current collaborative working status in real time, and it is a basic architectural component for realizing state synchronization and collaborative decision-making between modules.

[0048] The trajectory control module and the rock breaking parameter optimization module both subscribe to changes in the collaborative context state table and call the control logic corresponding to the strategy identifier based on its current content. The subscription mechanism adopts the observer design pattern. When the content of the collaborative context state table is updated, the state table service automatically pushes the change notification and the latest data snapshot to all subscribed modules. After receiving the change notification, the trajectory control module calls the trajectory control logic corresponding to the current strategy identifier in the collaborative context state table from its local strategy library, such as the immediate response logic under the geological absolute priority strategy, or the trajectory smoothing and delayed execution logic under the efficiency priority strategy.

[0049] Similarly, after receiving a change notification, the rock breaking parameter optimization module calls the parameter optimization control logic corresponding to the current strategy identifier from its local strategy library based on the current strategy identifier in the collaborative context status table. This logic could be a parameter forced following logic under the geological absolute priority strategy, or a parameter pre-adaptation sequence generation logic under the efficiency priority strategy.

[0050] In actual drilling operations of ultra-deep wells, for example, when drilling the interface between the Ordovician Yingshan Formation and Lianglitag Formation of Xinke 1 well, the collaborative control center switches the strategy identifier from "efficiency priority strategy" to "geological absolute priority strategy" based on the real-time calculation results of the geological demand urgency score and rock breaking efficiency score, and writes the key parameters of the new strategy into the globally shared collaborative context state table.

[0051] The trajectory control module detects a change in the status table and immediately switches to high-precision trajectory control mode, shortening the execution delay of trajectory adjustment commands. At the same time, the rock breaking parameter optimization module detects a change in the status table and switches the parameter adjustment logic to a mode that closely follows the trajectory changes, narrowing the allowable range of parameter adjustments.

[0052] This synchronization mechanism, based on a globally shared collaborative context state table, ensures the consistency of behavior between the two modules during strategy switching, avoids control conflicts caused by asynchronous module states, and provides a reliable state synchronization foundation for the collaborative optimization of the entire drilling system.

[0053] Furthermore, the ultra-deep well high-efficiency rock breaking method also includes a strategy switching prediction step: Based on geological prediction models and real-time drilling data, the dominant collaborative strategy is predicted for the well section of a predetermined length ahead, and the expected location for strategy switching is determined. An independent timed task or coroutine runs inside the collaborative control center. This task is not triggered by an event in real time, but is executed automatically according to a preset time interval or time cycle. Each time it is executed, it calls the geological prediction model provided by the geological guidance module. This model integrates the current wellbore logging data, regional seismic data, stratigraphic correlation information of adjacent wells, and lithological change trends to predict the geological characteristics of a specific length of wellbore ahead of the drill bit (e.g., the next 30 meters). Meanwhile, the task also incorporates real-time drilling data, such as the current mechanical drilling rate and torque trend. Based on this predicted information such as lithology, reservoir thickness, and formation pressure, and combined with the current engineering efficiency status of actual drilling, the collaborative control center will apply its internal decision-making logic (e.g., a simplified version of the collaborative strategy matrix matching rule) to predict the dominant collaborative strategy to be adopted in the future wellbore section.

[0054] For example, if it is predicted that the current reservoir is thick and the "efficiency priority" strategy is applicable, but it is predicted that after drilling 20 meters, a thin interbedded section will be entered, and the "geology priority" strategy needs to be switched to. At this time, the collaborative control center will calculate the expected position of the strategy switch from the current strategy to the predicted strategy, such as 20 meters in front of the current position.

[0055] When the distance between the drill bit position and the expected position is detected to be less than a preset distance, a strategy switching preparation notification is sent to the trajectory control module and the rock breaking parameter optimization module. The collaborative control center continuously monitors the real-time drill bit position fed back by the measurement-while-drilling tool. It calculates the actual distance between the current drill bit position and the predicted position for strategy switching. When this distance is less than a preset distance (which is a buffer zone, such as 5 meters), it indicates that the drill bit is about to enter the critical region for strategy switching. At this time, the collaborative control center will not immediately execute the switch, but will send a strategy switching preparation notification to the trajectory control module and the rock breaking parameter optimization module.

[0056] This notification is an early warning message, which may include the target strategy type to be switched to, the expected switch time, and suggestions for the trajectory control module and rock breaking parameter optimization module to begin preparations. For example, the trajectory control module can calculate the initial tool surface under the new strategy in advance; the rock breaking parameter optimization module can begin adjusting the parameter optimization weights.

[0057] When the drill bit reaches the expected position and the switching conditions are met, a state transition operation is performed.

[0058] When the drill bit actually drills to the predicted position, and the collaborative control center confirms that the geological conditions are consistent with the prediction based on the latest real-time data (such as gamma value and resistivity), and it is indeed necessary to switch strategies, it initiates a rigorous state transition operation protocol.

[0059] The protocol includes the following steps: Confirm that the trajectory adjustment cycle under the original collaborative strategy has been completed: Check whether there are any trajectory adjustment instructions being executed under the current "efficiency first" strategy to ensure that the previous increase or decrease in slope cycle has ended smoothly, and avoid causing trajectory control disorder by forcibly switching strategies in the middle of the adjustment. Send a strategy unload command to the trajectory control module and the rock breaking parameter optimization module: notify the trajectory control module and the rock breaking parameter optimization module that the currently effective cooperative strategy is about to be released, requiring them to stop executing the specific control logic or parameter constraints related to the strategy, and to prepare to receive the new strategy; The configuration information corresponding to the new collaborative strategy is sent to the trajectory control module and the rock breaking parameter optimization module respectively: the specific configuration information such as the instruction processing rules and parameter adjustment restrictions specified by the new "geology priority" strategy is sent to the trajectory control module and the rock breaking parameter optimization module respectively. It also includes a broadcast strategy switchover completion event: after all modules confirm that they are ready according to the new configuration, the coordination control center broadcasts an event to announce that the system has successfully migrated from the old strategy to the new strategy. After that, the system will run according to the new dominant coordination strategy.

[0060] Taking the drilling process of the Ordovician Yingshan Formation in Xinke 1 well as an example, when it is predicted that the drill bit will enter a thin interbedded area from a thick layer of limestone 15 meters ahead, the system marks this point as the expected position for strategy switching. When the drill bit is 5 meters away from this position, it sends a "prepare for fine guidance" notification to the trajectory control module and a "reduce drilling pressure to adapt to frequent adjustments" notification to the rock breaking parameter optimization module. When the drill bit reaches the switching point, the system confirms that the current 0.5° inclination increase cycle has been completed, unloads the efficiency priority strategy configuration, and loads the parameter set of the geological absolute priority strategy to achieve a seamless switch from "high drilling pressure, smooth trajectory" to "parameter following, fine guidance", avoiding the risk of drastic fluctuations in mechanical drilling rate and wellbore trajectory deviation caused by sudden changes in strategy.

[0061] Furthermore, this step aims to accurately assess the current situation and make an intelligent choice among three basic decision-making tendencies: absolute priority of geological guidance, priority of drilling efficiency, and conventional response. Specifically, the target-determining collaborative strategy includes: Calculate the geological demand urgency score corresponding to the first state event; The geological demand urgency score is a scalar value used to quantify the urgency of implementing trajectory adjustments from the perspective of geological security and reserve control. Its calculation function integrates key fields extracted from the first state event. Typically, the function considers: the reciprocal of the reservoir thickness (thin layers mean higher adjustment sensitivity), the reciprocal of the distance from the drill bit to the reservoir boundary (the closer the distance, the higher the urgency), and the adjustment confidence (high confidence increases the score weight). Through weighted calculation, a specific geological demand urgency score is finally obtained.

[0062] Obtain the rock-breaking efficiency score and expected remaining stabilization time in the second state event; The rock-breaking efficiency score is a quantitative value calculated based on indicators such as mechanical drilling speed, torque fluctuation index, and drill bit specific energy. It reflects the current rock-breaking efficiency level of the non-standard composite cutting tooth drill bit. The expected stable remaining time refers to the length of time that the rock-breaking optimization module predicts the current efficient or stable rock-breaking state can last. It is an important basis for determining whether to allow delayed execution of trajectory adjustment.

[0063] Based on the two scores and time parameters mentioned above, the system performs a three-branch conditional judgment to determine the final target cooperative strategy: If the geological demand urgency score exceeds the emergency threshold, the target collaborative strategy is determined to be a geological absolute priority strategy. When the calculated geological urgency score is greater than the preset emergency threshold, it indicates that the geological situation is extremely urgent, such as the drill bit is about to break through the reservoir or there is a risk to well control. At this time, ensuring that the wellbore trajectory is accurately located in the reservoir or ensuring well control safety is the overriding primary goal. Therefore, the system decision adopts the absolute geological priority strategy. Under this strategy, the collaborative control center will immediately execute the trajectory adjustment command from the geological guidance module and send a "forced follow" command to the rock breaking parameter optimization module, requiring it to unconditionally and quickly adapt to the new trajectory parameters and prioritize the achievement of geological objectives.

[0064] If the geological demand urgency score does not exceed the emergency threshold, and the rock breaking efficiency score exceeds the high efficiency threshold, and the expected remaining stable time is greater than the minimum time window, then the target coordination strategy is determined to be an efficiency-first strategy that allows instruction delays and merged execution. When the geological demand urgency score does not reach the level of urgency, but the rock breaking efficiency score is higher than the high efficiency threshold, and the high efficiency state is expected to be maintained for a period of time within the minimum time window, it means that the system is in a window period of "high efficiency rock breaking, non-urgent". At this time, maximizing the use of the current high efficiency rock breaking state to improve the overall drilling efficiency has significant value. Therefore, the system decision-making adopts an efficiency-first strategy that allows for delayed and merged execution of instructions. The core idea of ​​this strategy is to allow non-urgent trajectory adjustment instructions to be temporarily suspended, provided that the geological trajectory does not exceed the tolerance, and to merge and smooth them with subsequent possible fine-tuning instructions in the same direction, thereby protecting the current efficient rock breaking process from frequent interruptions.

[0065] Otherwise, the target coordination strategy is determined to be a conventional response strategy that generates trajectory instructions based on the trajectory adjustment requirement information and recommends rock-breaking parameters based on the current rock-breaking efficiency information; If the above two special cases are not met, namely, the geological situation is not urgent and the rock breaking efficiency is average or about to end, the system adopts the default conventional response strategy. Under this strategy, the collaborative control center basically follows the original workflow, generates corresponding trajectory instructions based on the trajectory adjustment requirement information, and the rock breaking parameter optimization module independently recommends parameters based on the current rock breaking efficiency information. The two only maintain basic and passive collaboration and do not conduct active instruction arbitration or deep integration.

[0066] Furthermore, when the target coordination strategy is determined to be an efficiency-first strategy that allows for delayed execution of instructions, the generation of the coordination instruction package specifically includes: First, the current trajectory adjustment command is placed into the delayed execution buffer, and a delay timer is started. The duration of the delay timer is determined based on the product of the expected remaining stable time and the utilization coefficient, and does not exceed the maximum allowable delay time. The delayed execution buffer is a temporary storage area maintained internally by the collaborative control center. It is specifically used to store trajectory adjustment instructions that are temporarily suspended due to the current high-efficiency rock-breaking window, ensuring that they are not interrupted during the high-efficiency rock-breaking window period. When this strategy is adopted, the current trajectory adjustment command from the geological guidance module (e.g., a 0.2° slope reduction) is immediately stored in this buffer instead of being issued directly. Simultaneously, the system starts a delay timer with a duration T. delay It is determined by two key parameters: one is the expected remaining stable time T obtained from the rock-breaking performance state event. remain The first is the estimated duration of the current high-efficiency rock-breaking state; the second is a preset utilization coefficient k (usually set to 0.7, indicating that only 70% of the high-efficiency period is used to execute the delayed command, with a 30% safety margin). The formula for calculating the timer duration is: ; Among them, T 最大延迟 It is an upper limit set by geological engineers to ensure that the delay in trajectory adjustment does not cause the wellbore trajectory to exceed the allowable error range. This design ensures that the time window for command delay execution makes full use of most of the time during the efficient rock breaking period, while being strictly controlled, thus balancing efficiency and trajectory accuracy and safety.

[0067] Secondly, the operation is performed: if the delayed execution buffer receives a new same-direction trajectory adjustment instruction before the delay timer expires, the instruction is merged. During the window period of the delay timer, the collaborative control center continuously listens for new events from the geological guidance module. If, during this period, the geological guidance module issues a new trajectory adjustment request event, and its adjustment direction (e.g., both are "decline") is consistent with the direction of the instructions already stored in the buffer, then the new instruction is regarded as a same-direction trajectory adjustment instruction, and the system will automatically trigger the instruction merging process.

[0068] Finally, when the delay timer expires, the smoothed trajectory instruction is generated based on the merged instructions in the delayed execution buffer, and an instruction instructing the rock breaking parameter optimization module to start the parameter switching sequence is generated simultaneously. When the delay timer expires, the system needs to perform the delayed trajectory adjustment. At this time, the collaborative control center reads the merged instruction data in the delayed execution buffer and applies a preset smoothing algorithm (such as curve fitting or uniform speed change model) to generate a smoothed trajectory instruction (e.g., uniformly decrease the slope by 0.3° over the next 4 minutes).

[0069] This instruction is no longer a raw, abrupt point instruction, but a continuous, smooth trajectory change curve. Simultaneously, the collaborative control center will generate and issue a matching, detailed parameter switching sequence instruction to the rock breaking parameter optimization module based on the execution time and change amplitude of this smooth trajectory instruction. This sequence instruction clearly indicates when and with what gradient the parameter module should adjust parameters such as drilling pressure and rotation speed to adapt to the upcoming smooth trajectory change, thereby achieving seamless and coordinated connection between trajectory adjustment and parameter optimization.

[0070] Furthermore, the ultra-deep well high-efficiency rock breaking method also includes an adaptive optimization process. This process aims to continuously optimize the predefined decision logic within the collaborative control center through the accumulation and analysis of historical operation data, thereby achieving a continuous improvement in the system's intelligence level. The adaptive optimization process includes the following steps: After the collaborative strategy is completed, the actual effectiveness of the strategy is evaluated based on the actual reservoir encounter rate and mechanical drilling rate data. After a complete application of the collaborative strategy is completed, the system enters the post-evaluation phase. During this phase, two key, quantifiable actual drilling results indicators will be collected: first, the actual reservoir encounter rate, which is the percentage of the wellbore trajectory that is actually kept within the target reservoir in the well section where the strategy was applied. This directly reflects the degree to which the geological guidance objective was achieved; second, the mechanical drilling rate data in the well section (such as average mechanical drilling rate, mechanical drilling rate stability, etc.), which reflects the degree to which the rock breaking efficiency objective was achieved. The system compares and analyzes these two types of data with the expected goals set before the strategy was applied or the historical benchmark values ​​of the blocks, and calculates a comprehensive score for the actual execution effect.

[0071] Secondly, if the actual execution effect is lower than the expected effect threshold, the data related to the execution of the strategy will be stored in the case library. The expected effect threshold is a preset comprehensive evaluation standard. Preferably, the reservoir drilling rate threshold is usually set to 90%, and the mechanical drilling rate threshold is set to 95%. If the actual execution effect is lower than this expected effect threshold, it indicates that the application of this strategy has not achieved the ideal goal. At this time, the system will trigger the data archiving mechanism, which will not only store the final drilling rate and mechanical drilling rate results, but more importantly, store the complete context data packet of this strategy execution process as a case in the case library.

[0072] The data package should include at least: the original first-state event and second-state event data when the strategy is triggered, the identifier of the matched target cooperative strategy, the details of the generated cooperative instruction package, the geological strata and lithology description of the actual drilling, and the final evaluation results. The case library adopts a distributed database architecture and is indexed and classified according to geological engineering conditions, including multi-dimensional tags such as formation lithology, pressure coefficient, wellbore size, and drill bit type.

[0073] Finally, it is used to dynamically adjust the strategy matching rules or parameters in the collaborative strategy matrix when encountering similar geological engineering conditions in the future. The establishment of the case library is not merely for archiving, but rather serves the system's online learning. When the collaborative control center encounters geological engineering conditions similar to a historical case in the case library during subsequent drilling operations, it will automatically retrieve and access that historical case. The system will analyze the reasons for the poor strategy execution effect in that case. Based on this analysis, the collaborative control center can fine-tune the corresponding strategy matching logic or parameters in the collaborative strategy matrix.

[0074] For example, when the system identifies that the current formation conditions are 95% similar to historical cases in the case library, it automatically adjusts the utilization coefficient k of the delay timer of the efficiency-first strategy from 0.7 to 0.8. This adjustment is incremental and data-driven, enabling the collaborative strategy matrix to gradually adapt to the specific geological and engineering characteristics of the well or block, thereby making more accurate and efficient judgments in future decisions.

[0075] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A highly efficient rock-breaking method for ultra-deep wells based on irregularly shaped composite cutting tooth drill bits, characterized in that, Includes the following steps: Acquire the first state event generated by the geological guidance module, wherein the first state event contains at least trajectory adjustment requirement information; The second state event generated by the rock breaking parameter optimization module is obtained, and the second state event contains at least the current rock breaking efficiency information. Based on the first state event and the second state event, the collaborative control center calls a preset collaborative strategy matrix to perform state matching and determine the target collaborative strategy. The dimensions of the collaborative strategy matrix are composed of geological demand intensity and rock breaking efficiency intensity. According to the target coordination strategy, a coordination instruction package is generated. The coordination instruction package includes at least a trajectory instruction sent to the trajectory control module and a parameter adjustment constraint instruction sent to the rock breaking parameter optimization module. The collaborative instruction package is sent to the trajectory control module and the rock breaking parameter optimization module respectively, so that the trajectory control module and the rock breaking parameter optimization module perform collaborative operations based on the collaborative instruction package.

2. The method for efficient rock breaking in ultra-deep wells based on a non-circular composite cutting tooth drill bit according to claim 1, characterized in that, The first state event generated by the geological guidance module includes: Receive the trajectory adjustment request event triggered by the geological guidance module when the logging-while-drilling data meets the preset change conditions; The trajectory adjustment request event includes at least the adjustment type, suggested adjustment amount, distance to reservoir boundary, and adjustment confidence field.

3. The method for efficient rock breaking in ultra-deep wells based on a non-circular composite cutting tooth drill bit according to claim 1, characterized in that, The second state event generated by the rock-breaking parameter optimization module includes: Receive the rock-breaking efficiency status event triggered by the rock-breaking parameter optimization module when the calculated rock-breaking efficiency index meets the preset fluctuation conditions; The rock-breaking performance status event includes at least the performance level, expected stability duration, and sensitivity coefficient field to trajectory disturbance.

4. The method for efficient rock breaking in ultra-deep wells based on a non-circular composite cutting tooth drill bit according to claim 1, characterized in that, The step of invoking a preset collaborative strategy matrix to perform state matching and determine the target collaborative strategy includes: Based on the information in the first state event, the geological demand intensity value is calculated; Based on the information in the second state event, the rock-breaking efficiency intensity value is calculated; Based on the geological demand intensity value and the rock breaking efficiency intensity value, the collaborative strategy matrix is ​​queried to obtain the corresponding target collaborative strategy identifier.

5. The method for efficient rock breaking in ultra-deep wells based on a non-circular composite cutting tooth drill bit according to claim 4, characterized in that, The step of generating a collaborative instruction package based on the target collaborative strategy specifically includes: When the target coordination strategy identifier corresponds to the efficiency priority strategy, the current instruction in the trajectory adjustment requirement information is merged and processed with the same-direction adjustment instructions received in the subsequent preset well section to obtain merged trajectory instruction data. Based on the merged trajectory instruction data, continuous wellbore trajectory adjustment instructions are generated. Based on the execution time planning of the continuous wellbore trajectory adjustment commands, a parameter pre-adaptation sequence command is generated and sent to the rock breaking parameter optimization module.

6. The method for efficient rock breaking in ultra-deep wells based on a non-circular composite cutting tooth drill bit according to claim 1, characterized in that, After determining the target collaborative strategy, the ultra-deep well high-efficiency rock breaking method further includes: Write the identifier and key parameters of the target collaboration strategy into a globally shared collaboration context state table; Both the trajectory control module and the rock breaking parameter optimization module subscribe to changes in the collaborative context state table and call the control logic corresponding to the strategy identifier based on its current content.

7. The method for efficient rock breaking in ultra-deep wells based on a non-circular composite cutting tooth drill bit according to claim 1, characterized in that, The ultra-deep well high-efficiency rock breaking method also includes a strategy switching prediction step: Based on geological prediction models and real-time drilling data, the dominant collaborative strategy is predicted for the well section of a predetermined length ahead, and the expected location for strategy switching is determined. When the distance between the drill bit position and the expected position is detected to be less than a preset distance, a strategy switching preparation notification is sent to the trajectory control module and the rock breaking parameter optimization module. When the drill bit reaches the expected position and the switching conditions are met, a state transition operation is performed, including: confirming that the trajectory adjustment cycle under the original collaborative strategy has been completed; sending a strategy unloading command to the trajectory control module and the rock breaking parameter optimization module; and issuing configuration information corresponding to the new collaborative strategy to the trajectory control module and the rock breaking parameter optimization module.

8. The method for efficient rock breaking in ultra-deep wells based on a non-circular composite cutting tooth drill bit according to claim 1, characterized in that, The target-determining collaborative strategy includes: Calculate the geological demand urgency score corresponding to the first state event; Obtain the rock-breaking efficiency score and expected remaining stabilization time in the second state event; If the geological demand urgency score exceeds the emergency threshold, the target collaborative strategy is determined to be a geological absolute priority strategy. If the geological demand urgency score does not exceed the emergency threshold, and the rock breaking efficiency score exceeds the high efficiency threshold, and the expected remaining stable time is greater than the minimum time window, then the target coordination strategy is determined to be an efficiency-first strategy that allows instruction delays and merged execution. Otherwise, the target coordination strategy is determined to be a conventional response strategy that generates trajectory instructions based on the trajectory adjustment requirement information and recommends rock-breaking parameters based on the current rock-breaking efficiency information.

9. The method for efficient rock breaking in ultra-deep wells based on a non-circular composite cutting tooth drill bit according to claim 8, characterized in that, When the target cooperative strategy is determined to be an efficiency-first strategy that allows for delayed execution of instructions, the generation of the cooperative instruction package specifically includes: The current trajectory adjustment command is placed into the delayed execution buffer, and a delay timer is started. The duration of the delay timer is determined based on the product of the expected remaining stable time and the utilization coefficient, and does not exceed the maximum allowable delay time. If a new same-direction trajectory adjustment instruction is received in the delayed execution buffer before the delay timer expires, the instruction is merged. When the delay timer expires, the smoothed trajectory instruction is generated based on the merged instructions in the delayed execution buffer, and an instruction instructing the rock breaking parameter optimization module to start the parameter switching sequence is generated simultaneously.

10. The method for efficient rock breaking in ultra-deep wells based on a non-circular composite cutting tooth drill bit according to claim 1, characterized in that, The ultra-deep well high-efficiency rock breaking method also includes an adaptive optimization process: After the collaborative strategy is completed, the actual effectiveness of the strategy is evaluated based on the actual reservoir encounter rate and mechanical drilling rate data. If the actual execution effect is lower than the expected effect threshold, the data related to the execution of the strategy will be stored in the case library for dynamic adjustment of the strategy matching rules or parameters in the collaborative strategy matrix when similar geological engineering conditions are encountered in the future.

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