A multi-drill rig group cooperative operation scheduling system for offshore exploration

Abstract

The present application relates to the technical field of cluster control, and particularly relates to a kind of offshore survey multi-drill cluster cooperative operation scheduling system, including environmental monitoring module, adaptive analysis module, scheduling decision module and dynamic regulation module. By real-time acquisition of water depth, flow rate, bottom material and tide and other multi-source marine environment data, self-adaptive analysis module calculates equipment adaptation tendency parameter, intelligently distinguishes the type of drilling equipment suitable for each sea area;Scheduling decision module dynamically selects and adjusts in-situ equipment parameters or starts cross-platform cooperative operation according to the analysis result;Dynamic regulation module finally executes equipment switching or parameter optimization instruction. The problems of low efficiency and slow response of multi-drill in complex marine environment are solved, the overall adaptability and stability of the survey operation are significantly improved, and the operation risk and schedule delay caused by sudden change of sea conditions are reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of cluster control, and in particular to a sea exploration multi-drill cluster cooperative operation scheduling system. BACKGROUND

[0002] The current sea exploration multi-drill cluster operation technology system comprehensively configures light portable drills, amphibious drilling platforms and large ship-mounted drills and other equipment according to different operation environments such as beaches, intertidal zones, shallow water and deep water areas, and realizes large-area synchronous exploration through cooperative scheduling. This technology highly depends on in-situ testing and special sampling equipment to ensure the sampling quality of complex strata such as soft soil and sand, and introduces advanced instruments such as laser particle size analyzers to realize rapid acquisition and analysis of geotechnical parameters, and assists with information systems for data integration and operation coordination, which significantly improves the efficiency and data accuracy of sea exploration.

[0003] However, this technology still faces many challenges: first, the scheduling and cooperation of multiple types of drills and platforms are extremely complex, requiring high project management and communication, and it is difficult to achieve optimal cooperation in actual operation; second, the leasing and operation cost of large ship machines and amphibious platforms is high, making the overall economy of the project poor; third, the operation efficiency is severely restricted by sea conditions such as wind, wave and current, and the effective working window period is short in bad weather, with a high risk of delay; in addition, there are differences in geotechnical parameters from different equipment and in-situ testing methods, and there is a lack of unified standards for data fusion and consistency evaluation, and the positioning accuracy of equipment in complex marine environments, sampling depth and sampling technology in extreme strata still need to be further improved. SUMMARY

[0004] Therefore, the present application provides a sea exploration multi-drill cluster cooperative operation scheduling system to overcome the problem of insufficient positioning accuracy of equipment in complex marine environments in the prior art, which leads to insufficient matching degree between cluster scheduling and actual environment according to sampling results.

[0005] To achieve the above-mentioned purpose, the present application provides a sea exploration multi-drill cluster cooperative operation scheduling system, comprising:

[0006] The sea exploration multi-drill cluster includes horizontal leveling equipment and vertical positioning equipment for fixing drilling platforms in different sea areas of shallow beaches, intertidal zones and deep seas, and mobile operation equipment for controlling the position and attitude of each platform, the working parameters of the mobile operation equipment including positioning accuracy, wave resistance level and operation time window,

[0007] The sea exploration multi-drill cluster cooperative operation scheduling system comprises:

[0008] An environment monitoring module is used to continuously acquire current sea area environmental parameters, including water depth, flow rate, bottom type and tide data;

[0009] an adaptive analysis module connected with the environment monitoring module to analyze the environment parameters to obtain sea area characteristics, and determine a device adaptation tendency parameter according to the sea area characteristics to determine a recommended drilling device category for the sea area;

[0010] a scheduling decision module connected with the environment monitoring module and the adaptive analysis module to determine whether to adjust the operation strategy according to the recommended drilling device category for the sea area, including:

[0011] adjusting the working parameters of the mobile operation device to adapt to the changes in tides and waves, obtaining a real-time stability index, and calculating an operation feasibility tendency parameter to determine whether to switch the drilling device;

[0012] or, screening out the sea area with environment characteristics not meeting the current device operation conditions, matching a standby drilling platform type, determining a scheduling intervention parameter according to the platform performance parameters to determine whether to start cross-platform collaborative operation;

[0013] a dynamic regulation module connected with the scheduling decision module to issue a scheduling instruction and perform device switching or parameter optimization under the condition of determining to adjust the operation strategy.

[0014] Further, the environment monitoring module includes:

[0015] a hydrological monitoring unit composed of a tide sensor arranged on a leg of the drilling platform and a depth sensor installed at the bottom of the platform to measure the water depth and tide data of the operation point in real time;

[0016] a fluid power monitoring unit composed of an acoustic Doppler current profiler installed on the bottom of the drilling platform or a bottom support to measure the flow rate at different water depths under the platform in real time;

[0017] a bottom characteristics identification unit composed of a sub-bottom profiler or a side-scan sonar installed at the bottom of the drilling platform to detect and identify the bottom type before and after the platform is positioned.

[0018] Further, the adaptive analysis module determines the actual operation efficiency of the drilling device corresponding to different sea area positions according to the sea area environment parameters, and the standard operation efficiency of the drilling device in different sea area positions under the current environmental conditions;

[0019] The adaptive analysis module determines a device performance characterization factor according to the ratio of the actual operation efficiency of the drilling device to the standard operation efficiency of the same position under the same environmental conditions, and determines the device adaptation tendency parameter according to the ratio of the average deviation of the device performance characterization factor to its average value.

[0020] Further, the adaptive analysis module judges the recommended drilling equipment category of the sea area according to the equipment adaptation tendency parameter, comprising,

[0021] If the equipment adaptation tendency parameter is greater than or equal to a standard equipment adaptation tendency parameter, the recommended drilling equipment category of the sea area is the current equipment operable category;

[0022] If the equipment adaptation tendency parameter is less than the standard equipment adaptation tendency parameter, the recommended drilling equipment category of the sea area is the equipment switching category.

[0023] Further, the scheduling decision module determines whether the operation strategy needs to be adjusted according to the recommended drilling equipment category of the sea area, comprising,

[0024] If the recommended drilling equipment category of the sea area is the current equipment operable category, it is determined whether the operation strategy needs to be adjusted by adjusting the working parameters of the mobile operation equipment, adapting to the changes of tides and waves, obtaining real-time stability indicators, and calculating the operation feasibility tendency parameter again to determine whether the drilling equipment needs to be switched;

[0025] If the recommended drilling equipment category of the sea area is the equipment switching category, it is determined whether the operation strategy needs to be adjusted by screening out the sea area whose environmental characteristics do not meet the operation conditions of the current equipment, matching the standby drilling platform type, and determining the scheduling intervention parameter according to the platform performance parameters to determine whether the cross-platform collaborative operation needs to be started.

[0026] Further, the scheduling decision module determines whether the drilling equipment needs to be switched according to the operation feasibility tendency parameter, comprising,

[0027] If the operation feasibility tendency parameter is greater than a preset operation feasibility tendency parameter, it is determined that the drilling equipment does not need to be switched;

[0028] If the operation feasibility tendency parameter is less than or equal to the preset operation feasibility tendency parameter, it is determined that the drilling equipment needs to be switched.

[0029] Further, the scheduling decision module obtains the real-time stability indicators, comprising,

[0030] The scheduling decision module screens the drilling platforms with a wave resistance level greater than the current wave level;

[0031] The drilling platform with the optimal real-time stability indicators is selected for parameter matching to obtain its operation parameters.

[0032] Further, the scheduling intervention parameter is determined according to the following formula,

[0033] Ks = Σ (Pc-Pe) / N

[0034] In the formula, Ks is a scheduling intervention variable, Pc is an actual measured value of a platform performance parameter, Pe is an expected required value of the platform performance parameter, and N is a total number of performance parameters participating in evaluation.

[0035] Further, the scheduling decision module judges whether cross-platform collaborative work needs to be started according to the scheduling intervention variable.

[0036] If the scheduling intervention variable is greater than or equal to a standard scheduling intervention variable, it is judged that cross-platform collaborative work needs to be started.

[0037] If the scheduling intervention variable is less than the standard scheduling intervention variable, it is judged that cross-platform collaborative work does not need to be started.

[0038] Compared with the prior art, the beneficial effects of the present application are that the system collects multi-dimensional marine environment parameters such as water depth, flow rate, bottom material and tide in real time through the environment monitoring module; the adaptability analysis module calculates the equipment performance characterization factor and the equipment adaptation tendency variable according to this, intelligently judges the type of drilling equipment that should be used in the current sea area; the scheduling decision module dynamically determines whether to adjust the working parameters of the existing platform or to start cross-platform collaborative work according to the adaptation result; and finally the dynamic control module executes equipment switching or parameter optimization. This scheme realizes multi-level closed-loop matching of environment-equipment-task, significantly improves the operation adaptability, positioning accuracy and platform stability in severe sea conditions, reduces the delay of the construction period and the risk of equipment caused by environmental mutations; at the same time, through the cross-platform collaborative mechanism, the resource allocation is optimized, the redundant investment of high-cost large equipment is reduced, and the economy and operation efficiency of offshore exploration are improved as a whole.

[0039] Further, in the present application, the entire environment monitoring module realizes multi-level and multi-parameter collection and preliminary interpretation of hydrological, fluid and geological environment through the above-mentioned multi-unit collaborative sensing and threshold discrimination mechanism. The core principle is to convert continuous environmental parameters into state categories recognizable by the operation system through the combination of physical sensors and feature threshold criteria, thereby providing structured input for subsequent adaptability analysis and scheduling decision. This embodiment enhances the sensing accuracy and decision reliability of the system for complex sea environment without relying on specific numerical effects.

[0040] Further, in the present application, through the two-stage screening mechanism, platforms with insufficient structural wave resistance are first excluded, and then the best real-time operation state is selected from among them, realizing efficient optimization and accurate matching of drilling equipment, avoiding operation risks caused by insufficient wave resistance, and maximizing the stability of drilling operations and data acquisition quality. The core principle is to combine environmental conditions, platform structural performance and real-time dynamic response to form a hierarchical decision logic, thereby enhancing the scheduling rationality and operation adaptability of the system in complex sea conditions.

[0041] Further, through macro performance deviation evaluation, a cooperative mechanism is introduced in a necessary occasion, so as to optimize resource allocation and operation efficiency while ensuring operation safety and reliability. Through this threshold discrimination mechanism based on data driving, the system can more intelligently adapt to the complex and changeable sea area operation environment, and enhance the robustness and adaptability of the overall operation system. BRIEF DESCRIPTION OF DRAWINGS

[0042] Figure 1 FIG. 1 is a structural schematic diagram of a sea survey multi-drilling rig group cooperative operation scheduling system according to an embodiment of the present application;

[0043] Figure 2 FIG. 4 is a logic diagram for judging a recommended drilling equipment category of a sea area according to an embodiment of the present application;

[0044] Figure 3 FIG. 5 is a logic diagram for judging whether to switch drilling equipment according to an embodiment of the present application. DETAILED DESCRIPTION

[0045] In order to make the objects and advantages of the present application clearer, the present application will be further described below with reference to embodiments. It should be understood that the specific embodiments described herein are merely used to explain the present application and do not limit the present application.

[0046] The preferred embodiments of the present application will be described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely used to explain the technical principles of the present application and are not intended to limit the protection scope of the present application.

[0047] It should be noted that, in the description of the present application, the terms of direction or position relationship such as "upper", "lower", "left", "right", "inner", "outer" and the like are based on the direction or position relationship shown in the drawings, which is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present application.

[0048] In addition, it should also be noted that, in the description of the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connection" and "connection" should be understood in a broad sense, for example, it can be fixed connection, or detachable connection, or integrally connected; it can be mechanical connection, or electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, or the communication between two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0049] Please refer to Figure 1 FIG. 1 is a structural schematic diagram of a sea survey multi-drilling rig group cooperative operation scheduling system according to an embodiment of the present application, and the present application provides a sea survey multi-drilling rig group cooperative operation scheduling system, which comprises:

[0050] The offshore exploration multi-drilling rig group comprises horizontal leveling equipment and vertical positioning equipment for fixing drilling platforms in different sea areas of shoals, intertidal zones and deep seas respectively, and mobile operation equipment for controlling the position and posture of each platform, wherein the working parameters of the mobile operation equipment include positioning accuracy, wave resistance level and operation time window,

[0051] The offshore exploration multi-drilling rig group cooperative operation scheduling system comprises:

[0052] An environmental monitoring module is used to continuously acquire current sea area environmental parameters, wherein the sea area environmental parameters include water depth, flow rate, bottom type and tide data;

[0053] An adaptability analysis module connected with the environmental monitoring module is used to analyze the environmental parameters to acquire sea area characteristics, and determine equipment adaptation tendency parameters according to the sea area characteristics to judge the recommended drilling equipment category of the sea area;

[0054] A scheduling decision module connected with the environmental monitoring module and the adaptability analysis module is used to determine whether the operation strategy needs to be adjusted according to the recommended drilling equipment category of the sea area, including:

[0055] Adjusting the working parameters of the mobile operation equipment, adapting to the changes of tides and waves, acquiring real-time stability indexes, calculating operation feasibility tendency parameters to judge whether the drilling equipment needs to be switched;

[0056] Or, screening out the sea area with environmental characteristics not meeting the current equipment operation conditions, matching standby drilling platform types, determining scheduling intervention parameters according to platform performance parameters to judge whether cross-platform cooperative operation needs to be started;

[0057] A dynamic regulation module connected with the scheduling decision module is used to issue scheduling instructions and execute equipment switching or parameter optimization under the condition that the operation strategy needs to be adjusted.

[0058] In the present application, the system acquires multi-dimensional marine environmental parameters such as water depth, flow rate, bottom type and tide through the environmental monitoring module; the adaptability analysis module calculates equipment performance characterization factors and equipment adaptation tendency parameters according to the above parameters, intelligently judges the drilling equipment type to be used in the current sea area; the scheduling decision module dynamically determines whether to adjust the working parameters of the existing platform or start cross-platform cooperative operation according to the adaptation results; finally, the dynamic regulation module executes equipment switching or parameter optimization. The scheme realizes multi-level closed-loop matching of environment-equipment-task, significantly improves the operation adaptability, positioning accuracy and platform stability in severe sea conditions, reduces the schedule delay and equipment risk caused by environmental mutations; at the same time, the cross-platform cooperative mechanism optimizes resource allocation, reduces the redundant investment of high-cost large equipment, and improves the economy and operation efficiency of offshore exploration as a whole.

[0059] In particular, the environmental monitoring module comprises:

[0060] a hydrological monitoring unit composed of a tide sensor arranged on the leg of the drilling platform and a depth sensor installed on the bottom of the platform, for measuring the water depth and tide data of the work site in real time;

[0061] a fluid power monitoring unit composed of an acoustic Doppler current profiler installed on the bottom of the platform or the bottom support, for measuring the flow rate of different water depths under the platform in real time;

[0062] a bottom characteristics identification unit composed of a sub-bottom profiler or side scan sonar installed on the bottom of the drilling platform, for detecting and identifying the bottom type before and after the platform is in place.

[0063] The hydrological monitoring unit collects tide level cycle changes and real-time water depth data through the tide sensor arranged on the leg of the drilling platform and the depth sensor on the bottom of the platform. The determination of the water depth safety threshold and the tidal difference alarm threshold in this unit is usually based on historical safety data and limited experimental calibration of platform draft characteristics, such as by statistically analyzing the stability performance of the platform under different water depths and tidal differences, combining platform structure parameters and typical working conditions in the sea area, and using empirical weighting or linear regression methods to determine the threshold range, which aims to identify the risk of shallow water operation and the critical point of platform grounding or floating state transition caused by tides.

[0064] The fluid power monitoring unit uses an acoustic Doppler current profiler (ADCP) installed on the bottom of the platform or the bottom support to measure the flow rate and direction of the water layer by layer, in order to evaluate the influence of water flow on the stability of the platform and the drilling operation. The flow rate classification threshold set in this unit, such as the critical value for distinguishing between low flow rate operation area and high flow rate risk area, is usually calibrated by combining water channel test and real sea area test based on platform anti-flow design parameters and sea area flow field statistical characteristics, such as based on the platform deflection monitoring data under different flow rates and the maximum allowable flow rate for maintaining positioning accuracy, using statistical distribution analysis or critical state discrimination method to determine the threshold.

[0065] The bottom type identification unit detects and identifies the bottom type and stratum structure before and after the platform is in place through a sub-bottom profiler or a side scan sonar. The classification and discrimination threshold of the bottom type in the unit (such as the classification parameter of soft mud, sandy, gravel and the like) is usually based on the matching analysis of the acoustic signal feature library and historical geological data, and is usually calibrated by collecting the acoustic reflection characteristics of typical bottom samples, combining with a machine learning classification algorithm or discriminant analysis method to determine the classification boundary, for example, using the clustering results of the acoustic reflection intensity, spectral characteristics and the like to determine the classification boundary. The setting can effectively identify the bottom type which is not conducive to the platform residence or is prone to puncture risk, thereby avoiding the operation risk brought by the geological conditions.

[0066] The above device selection can be other devices that can achieve the detection requirements, which are prior art and are not specifically limited.

[0067] In the present application, the whole environmental monitoring module realizes multi-level and multi-parameter collection and preliminary interpretation of hydrological, fluid and geological environment through the above-mentioned multi-unit cooperative perception and threshold discrimination mechanism. The core principle is to convert continuous environmental parameters into identifiable state categories for the operation system by combining physical sensors and feature threshold criteria, thereby providing structured input for subsequent adaptive analysis and scheduling decisions. The embodiment enhances the perception accuracy and decision reliability of the system for complex sea environment without relying on specific numerical effects.

[0068] Please refer to Figure 2 Fig. 1 is a logic diagram for judging the recommended drilling equipment category of a sea area according to an embodiment of the present application, and the adaptive analysis module determines the actual operation efficiency of the drilling equipment corresponding to different sea area positions according to the sea area environmental parameters, and the standard operation efficiency of the drilling equipment in different sea area positions under the current environmental conditions.

[0069] The adaptive analysis module determines the equipment performance characterization factor according to the ratio of the actual operation efficiency of the drilling equipment to the standard operation efficiency of the same position under the same environmental conditions, and determines the equipment adaptation tendency parameter according to the ratio of the average deviation of the equipment performance characterization factor to its mean value.

[0070] In implementation, the equipment performance characterization factor is quantified by the ratio of the actual operation efficiency to the standard operation efficiency. The threshold of the factor is usually calibrated based on the statistical analysis of multiple sea trials and historical operation data. Specifically, a plurality of groups of actual efficiency and standard efficiency data can be collected in different typical sea areas such as shoals, intertidal zones and deep water areas, and the critical level of performance deviation can be determined by using statistical distribution method or regression analysis, the purpose of which is to identify whether the equipment is in the expected operation state.

[0071] Specifically, the equipment adaptation tendency parameter is obtained by calculating the ratio of the average deviation of the performance characterization factors obtained by the same type of equipment at multiple work points to the mean value. The discrimination threshold of this parameter is generally determined by the consistency requirement of the equipment in the cluster cooperative work, through a combination of a limited number of real ship tests and simulation deduction.

[0072] For example, based on the efficiency fluctuation data of multiple equipment cooperative work in different sea area environments, variance analysis or clustering method is used to define the classification boundary of adaptation state. The principle of this method is to quantify the dispersion degree of the performance of the equipment group, to judge whether the current environment is suitable for the equipment to continue working, or to trigger the equipment scheduling decision.

[0073] It can be understood that by quantitatively evaluating the performance of the drilling equipment in different sea area environments, an objective and calculable adaptability index is provided for the scheduling decision. According to the water depth, flow rate, bottom type and tidal data collected by the environment monitoring module, combined with the equipment working state data, the actual work efficiency of the drilling equipment in the current environmental conditions at different sea area positions is calculated. At the same time, based on the historical operation database or the performance curve of the equipment calibrated in the design stage under standard environmental conditions, the standard work efficiency corresponding to the same position under the current environmental conditions is determined.

[0074] Specifically, the adaptability analysis module determines the recommended drilling equipment category of the sea area according to the equipment adaptation tendency parameter, including,

[0075] If the equipment adaptation tendency parameter is greater than or equal to the standard equipment adaptation tendency parameter, the recommended drilling equipment category of the sea area is the current equipment workable category;

[0076] If the equipment adaptation tendency parameter is less than the standard equipment adaptation tendency parameter, the recommended drilling equipment category of the sea area is the equipment category that needs to be switched.

[0077] Specifically, the scheduling decision module determines whether the operation strategy needs to be adjusted according to the recommended drilling equipment category of the sea area, including,

[0078] If the recommended drilling equipment category of the sea area is the current equipment workable category, it is determined whether the operation strategy needs to be adjusted by adjusting the working parameters of the mobile operation equipment, adapting to the changes of tides and waves, obtaining real-time stability indicators, and calculating the work feasibility tendency parameter again to determine whether the drilling equipment needs to be switched;

[0079] If the recommended drilling equipment category of the sea area is the equipment category that needs to be switched, it is determined whether the operation strategy needs to be adjusted by screening out the sea area whose environmental characteristics do not meet the current equipment operation conditions, matching the standby drilling platform type, and determining the scheduling intervention parameter according to the platform performance parameters to determine whether the cross-platform cooperative work needs to be started.

[0080] It can be understood that if the equipment adaptation tendency parameter is greater than or equal to the standard equipment adaptation tendency parameter, it indicates that the equipment group still maintains good coordination and efficiency under the current environment; on the contrary, if the equipment adaptation tendency parameter is less than the standard equipment adaptation tendency parameter, it indicates that the environmental conditions have caused inconsistent or significant degradation of equipment performance, the system level adaptation risk is identified through the group performance dispersion, thereby improving the decision reliability and sea area operation adaptability.

[0081] The scheduling decision module triggers different operation strategy adjustment processes according to the above recommended equipment categories. If the recommended category is the current equipment that can be operated, the decision module preferentially selects to adjust the working parameters of the mobile operation equipment, such as positioning accuracy, wave resistance level and operation time window, to adapt to the real-time tide and wave dynamics, and re-collects the stability indicators and calculates the operation feasibility tendency parameter again to determine whether the current equipment operation can be maintained through parameter optimization.

[0082] If the recommended category is a device that needs to be switched, the decision module starts a cross-device scheduling strategy: first, filter out the sea points whose environmental characteristics have exceeded the operation capability range of the current equipment, then match suitable equipment from the standby drilling platform types, and calculate the scheduling intervention parameter based on its performance parameters, and finally determine whether to start multi-platform collaborative operation. On the premise of ensuring operation safety, improve resource utilization efficiency and system flexibility. The overall implementation significantly enhances the decision-making ability and operation robustness of the system in complex sea environment through multi-layer judgment and response mechanism.

[0083] Please refer to Figure 3 The logic diagram for judging whether the drilling equipment needs to be switched is shown in the figure, and the scheduling decision module determines whether the drilling equipment needs to be switched according to the operation feasibility tendency parameter, which includes,

[0084] If the operation feasibility tendency parameter is greater than the preset operation feasibility tendency parameter, it is determined that the drilling equipment does not need to be switched;

[0085] If the operation feasibility tendency parameter is less than or equal to the preset operation feasibility tendency parameter, it is determined that the drilling equipment needs to be switched.

[0086] The operation feasibility tendency parameter is a comprehensive evaluation index obtained by weighted fusion or numerical calculation based on a physical model through comprehensive real-time stability indicators, positioning accuracy deviation, operation time window adaptation degree and other multi-dimensional parameters, which is used to represent the feasibility of the existing equipment to continue safe operation under the current environmental conditions. The preset threshold of this parameter is usually determined by historical operation data, equipment design performance limit and real sea test results through a limited number of test calibration and regression analysis methods.

[0087] For example, based on the stability data, positioning error data and task completion rate of multiple drilling equipment in different sea conditions, through statistical distribution analysis or machine learning classification algorithm, the critical condition of sharp decline of equipment performance or significant increase of operation risk is identified, and the threshold is set.

[0088] If the calculated operation feasibility tendency parameter is greater than the preset threshold, it indicates that the current equipment is still in an acceptable range in terms of environmental adaptability, positioning ability and operation stability, and the system determines that there is no need to switch the drilling equipment; otherwise, if the parameter is equal to or lower than the preset value, it indicates that the environmental dynamics has exceeded the equipment tolerance, and there is a high risk of continuing operation, and it is necessary to switch to a more suitable drilling equipment type.

[0089] It can be understood that through the above data-driven parameter setting and threshold discrimination mechanism, the system can realize the standardization and automation of equipment switching decision without affecting the continuity of operation, and significantly enhance the safety and rationality of resource allocation of drilling operation in complex marine environment.

[0090] Specifically, the scheduling decision module obtains the real-time stability index, including,

[0091] The scheduling decision module selects a drilling platform with a wave resistance level greater than the current wave level;

[0092] Selecting a drilling platform with the optimal real-time stability index for parameter matching to obtain its operation parameters.

[0093] In implementation, the acquisition mechanism of real-time stability index in the scheduling decision module quickly identifies the operation equipment that can best adapt to the current sea environment from the available drilling platforms, to ensure the stability and safety of the drilling process. Based on the real-time wave level data provided by the environmental monitoring module, a candidate drilling platform set with a wave resistance level higher than the current actual wave level is selected. The determination of the wave resistance level threshold usually depends on the structural strength analysis of various drilling platforms in the design stage, the water pool model test and the dynamic response record of historical operation data under different wave levels, through a limited number of ship tests and regression analysis method, the corresponding relationship between platform wave resistance and wave level is established, and a certain safety margin is introduced, so as to determine the value.

[0094] On the basis of preliminary screening, the scheduling decision module further selects the platform with the optimal real-time stability index from the platforms meeting the wave resistance requirement as the preferred equipment. The stability index is a composite parameter, which is usually calculated by fusing multiple source data such as platform attitude sensor, positioning offset, structure vibration monitoring, etc., and is used to comprehensively represent the dynamic stability of the platform under the action of wave, current and other dynamic loads.

[0095] In the present application, by two-stage screening mechanism, the platforms with insufficient wave resistance are first excluded, and then the real-time operation state of the optimal one is selected, so as to realize efficient optimization and accurate matching of the drilling equipment, avoid operation risks caused by insufficient wave resistance, and maximize the stability of drilling operation and the quality of data acquisition. The core principle is to combine environmental conditions, platform structure performance and real-time dynamic response to form a hierarchical decision logic, so as to enhance the scheduling rationality and operation adaptability of the system in complex sea conditions.

[0096] Specifically, the scheduling intervention parameter is determined according to formula (1),

[0097] Ks = Σ (Pc-Pe) / N

[0098] In the formula, Ks is the scheduling intervention parameter, Pc is the actual measured value of the platform performance parameter, Pe is the expected value of the platform performance parameter, and N is the total number of performance parameters participating in the evaluation.

[0099] Specifically, the scheduling decision module determines whether to start cross-platform collaborative operation according to the scheduling intervention parameter, comprising:

[0100] If the scheduling intervention parameter is greater than or equal to the standard scheduling intervention parameter, it is determined that cross-platform collaborative operation needs to be started;

[0101] If the scheduling intervention parameter is less than the standard scheduling intervention parameter, it is determined that cross-platform collaborative operation does not need to be started.

[0102] The scheduling intervention parameter quantitatively evaluates the overall deviation between the actual performance and the expected requirement of the drilling platform, and provides an objective decision basis for whether to start cross-platform collaborative operation.

[0103] The expected value Pe involved in the formula is usually determined based on the design performance of the drilling platform, the operation requirements of a specific sea area or the historical optimal operation data. The value of the standard scheduling intervention parameter is usually determined based on the historical data and simulation analysis of multi-platform collaborative operation, and is calibrated through a limited number of field tests combined with regression analysis method.

[0104] Specifically, by collecting a large amount of data on platform performance deviation and operation effect under different sea conditions, the correlation between Ks value and operation success rate, equipment failure rate, etc. is analyzed, so as to determine the critical value that can significantly distinguish between independent operation and collaborative supplement. The purpose of setting it is to integrate the performance deviation of multiple parameters into a comprehensive evaluation index, so that the system can quickly identify whether the overall performance of the current equipment group is insufficient, thereby triggering higher-level scheduling strategies.

[0105] It can be understood that if Ks is greater than or equal to the standard scheduling intervention variable, it indicates that the overall performance deviation of the existing platform group has exceeded the acceptable range, the independent operation risk is high or the efficiency is too low, and the system determines to start the cross-platform collaborative operation to improve the overall operation ability through the function complementation or resource integration between devices; if Ks is less than the standard scheduling intervention variable, it indicates that the current platform performance is basically consistent with the expected requirement, and the complex multi-platform collaborative process does not need to be started. Through macro performance deviation evaluation, the collaborative mechanism is introduced at the necessary time, so as to optimize the resource allocation and operation efficiency while ensuring the operation safety and reliability. Through this threshold discrimination mechanism based on data driving, the system can more intelligently adapt to the complex and changeable sea area operation environment, and enhance the robustness and adaptability of the overall operation system.

[0106] So far, the technical solutions of the present application have been described in combination with the preferred embodiments shown in the drawings, but those skilled in the art can easily understand that the protection scope of the present application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to the related technical features without departing from the principles of the present application, and the technical solutions after the changes or replacements will fall within the protection scope of the present application.

[0107] The above description is only the preferred embodiments of the present application and is not used to limit the present application; for those skilled in the art, the present application can have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A collaborative operation scheduling system for multiple drilling rigs in offshore exploration, comprising horizontal leveling equipment and vertical positioning equipment for fixed drilling platforms in different sea areas such as shallow waters, intertidal zones, and deep seas, as well as mobile operation equipment for controlling the position and attitude of each platform, wherein the operating parameters of the mobile operation equipment include: Positioning accuracy, wave resistance level, and operating time window. A multi-drilling rig collaborative operation scheduling system for offshore exploration, characterized by comprising: The environmental monitoring module is used to continuously acquire current marine environmental parameters, including water depth, current velocity, seabed type, and tidal data. An adaptive analysis module, which is connected to the environmental monitoring module, is used to analyze the environmental parameters to obtain marine characteristics, and determine the equipment adaptation tendency parameters based on the marine characteristics to determine the recommended drilling equipment category for the marine area. A scheduling decision module, connected to both the environmental monitoring module and the adaptive analysis module, is used to determine whether the operational strategy needs to be adjusted based on the recommended drilling equipment type for the sea area, including: Adjust the working parameters of the mobile operating equipment to adapt to tidal and wave changes, obtain real-time stability indicators, and calculate the operational feasibility tendency parameters to determine whether it is necessary to switch drilling equipment. Alternatively, select sea areas whose environmental characteristics do not meet the current equipment operating conditions, match the type of backup drilling platform, and determine the scheduling intervention parameters based on the platform performance parameters to determine whether cross-platform collaborative operation needs to be initiated; The dynamic control module, which is connected to the scheduling decision module, is used to issue scheduling instructions and perform equipment switching or parameter optimization when it is determined that the operation strategy needs to be adjusted.

2. The multi-drilling rig collaborative operation scheduling system for offshore exploration according to claim 1, characterized in that, The environmental monitoring module includes: The hydrological monitoring unit consists of tidal sensors deployed on the legs of the drilling platform and depth sensors installed at the bottom of the platform, used to measure the water depth and tidal data at the work site in real time. The hydrodynamic monitoring unit consists of an acoustic Doppler current profiler installed on the bottom or bottom support of the drilling platform, used to measure the flow velocity at different water depths below the platform in real time. The bottom sediment characteristic identification unit consists of a shallow seismic profiler or side-scan sonar installed at the bottom of the drilling platform, used to detect and identify the type of bottom sediment before and after the platform is in place.

3. The multi-drilling rig collaborative operation scheduling system for offshore exploration according to claim 2, characterized in that, The adaptive analysis module determines the actual operating efficiency of drilling equipment at different sea locations and the standard operating efficiency of drilling equipment at different sea locations under the current environmental conditions based on the marine environmental parameters. The adaptability analysis module determines the equipment performance characterization factor based on the ratio of the actual operating efficiency of the drilling equipment to the standard operating efficiency at the same location under the same environmental conditions, and determines the equipment adaptation tendency parameter based on the ratio of the average deviation of the equipment performance characterization factor to its mean.

4. A multi-drilling rig collaborative operation scheduling system for offshore exploration according to claim 3, characterized in that, The adaptive analysis module determines the recommended drilling equipment category for the sea area based on the equipment adaptation tendency parameter, including: If the equipment adaptation tendency parameter is greater than or equal to the standard equipment adaptation tendency parameter, then the recommended drilling equipment category for the sea area is the current equipment's operational category. If the equipment adaptation tendency parameter is less than the standard equipment adaptation tendency parameter, then the recommended drilling equipment category for the sea area is one that needs to be switched.

5. A multi-drilling rig collaborative operation scheduling system for offshore exploration according to claim 4, characterized in that, The scheduling decision module determines whether the operation strategy needs to be adjusted based on the recommended drilling equipment type for the sea area. If the recommended drilling equipment category for the sea area is the category that the current equipment can operate in, then it is determined whether the operation strategy needs to be adjusted by adjusting the working parameters of the mobile operation equipment, adapting to tidal and wave changes, obtaining real-time stability indicators, and recalculating the operation feasibility tendency parameters to determine whether the drilling equipment needs to be switched. If the recommended drilling equipment category for the sea area is one that needs to be switched, then determine whether the operation strategy needs to be adjusted by screening out sea areas whose environmental characteristics do not meet the current equipment operation conditions, matching the backup drilling platform type, and determining the scheduling intervention parameters based on the platform performance parameters to determine whether cross-platform collaborative operation needs to be initiated.

6. A multi-drilling rig collaborative operation scheduling system for offshore exploration according to claim 5, characterized in that, The scheduling decision module determines whether to switch drilling equipment based on the operation feasibility tendency parameter. include, If the operational feasibility tendency parameter is greater than the preset operational feasibility tendency parameter, it is determined that there is no need to switch drilling equipment. If the operational feasibility tendency parameter is less than or equal to the preset operational feasibility tendency parameter, it is determined that the drilling equipment needs to be switched.

7. A multi-drilling rig collaborative operation scheduling system for offshore exploration according to claim 1, characterized in that, The scheduling decision module obtains the real-time stability indicators, including: The scheduling decision module selects drilling platforms with a wave resistance level greater than the current wave level; Select the drilling platform with the best real-time stability index for parameter matching to obtain its operating parameters.

8. A multi-drilling rig collaborative operation scheduling system for offshore exploration according to claim 1, characterized in that, The scheduling intervention parameters are determined according to the following formula. Ks=Σ(Pc-Pe) / N In the formula, Ks is the scheduling intervention parameter, Pc is the actual measured value of the platform performance parameter, Pe is the expected required value of the platform performance parameter, and N is the total number of performance parameters participating in the evaluation.

9. A multi-drilling rig collaborative operation scheduling system for offshore exploration according to claim 1, characterized in that, The scheduling decision module determines whether to initiate cross-platform collaborative operations based on the scheduling intervention parameters. If the scheduling intervention parameter is greater than or equal to the standard scheduling intervention parameter, it is determined that cross-platform collaborative operation needs to be initiated. If the scheduling intervention parameter is less than the standard scheduling intervention parameter, it is determined that there is no need to start cross-platform collaborative operation.

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