A fiber optic well logging winch simulation system, method, and computer program product

Abstract

The present application relates to the field of oil exploration, and discloses a fiber-optic logging winch simulation system, method and computer program product, the system comprising: a winch simulation subsystem comprising a winch simulation control module and at least one winch operation valve; wherein the winch simulation control module comprises a logging physical model, which is used to obtain operation parameters based on the operation of the winch operation valve, obtain winch pulling rotation speed data and winch torque data; a data fusion subsystem is used to obtain well depth data, winch speed data and wellhead tension data based on the pulling rotation speed data, the winch torque data and downhole parameters; a project assessment module is used to perform assessment scoring based on a preset assessment strategy; a downhole complex working condition simulation module is used to simulate the blocking condition, the adsorption condition or the large tension condition in the downhole operation process. Without contacting the real winch equipment and downhole environment, the safety accidents caused by operation errors are avoided, and the training efficiency is improved and the training cost is reduced.

Description

Technical Field

[0001] This disclosure relates to the field of oil exploration, and in particular to a fiber optic logging winch simulation system, method, and computer program product. Background Technology

[0002] As oil exploration gradually moves towards deeper and ultra-deep layers, cable logging and perforation operations face many challenges, such as ultra-deep wells, high tension, sticking, adsorption, and fine control. These problems place higher demands on the skill level of winch operators.

[0003] However, traditional cable winch operation training methods are limited by factors such as space, equipment costs, and safety risks, making it difficult to efficiently and safely improve operators' professional skills. Therefore, it is particularly important to develop a cable winch operation simulation training system that integrates teaching, training, and assessment.

[0004] Fiber optic logging, as an advanced logging technology, enables high-precision monitoring of the downhole environment through fiber optic sensors. It has advantages such as resistance to electromagnetic interference, high precision, and real-time performance, and has become one of the important means of modern oil exploration.

[0005] However, operating fiber optic logging winches is more complex and requires more stringent professional skills from operators. Therefore, developing a winch simulation system specifically for fiber optic logging is of great significance for improving operators' professional skills and ensuring operational safety. Summary of the Invention

[0006] The purpose of this invention is to provide at least one fiber optic logging winch simulation system, method, and computer program product. By simulating the real operating environment of a fiber optic logging winch through simulation technology, it provides trainees with a safe and repeatable training platform to improve training efficiency, reduce training costs, and promote the widespread application of fiber optic logging technology in the industry.

[0007] To address the aforementioned technical problems, at least one embodiment of this application provides a fiber optic logging winch simulation system, the system comprising: a winch simulation subsystem, a data fusion subsystem, and a simulation and evaluation subsystem; wherein:

[0008] The winch simulation subsystem includes a winch simulation control module and at least one winch operating valve; wherein, the winch simulation control module includes a well logging physical model, and the winch simulation control module is used to obtain operating parameters based on the operation of the winch operating valve, and obtain winch lifting speed data and winch torque data through the well logging physical model based on the operating parameters;

[0009] The data fusion subsystem is used to obtain well depth data, winch speed data, and wellhead tension data based on the jacking speed data, the winch torque data, and the received downhole parameters through a preset fusion method.

[0010] The simulation assessment subsystem includes a downhole complex working condition simulation module and a project assessment module. The project assessment module is used to obtain an assessment score for the winch operation based on the operating parameters of the winch operating valve, the well depth data, the winch speed data, and the wellhead tension data, and based on a preset assessment strategy. The downhole complex working condition simulation module is used to simulate stuck working conditions, adsorption working conditions, or high tension working conditions during downhole operations based on preset downhole parameters, thereby providing trainees with training operations under various working conditions.

[0011] At least one embodiment of this application also provides a fiber optic logging winch simulation method, based on the system implementation described above, the method comprising:

[0012] Operating parameters are obtained based on the operation of the winch operating valve, and the winch lifting speed data and winch torque data are obtained through the well logging physical model based on the operating parameters.

[0013] Based on the lifting speed data, the winch torque data, and the received downhole parameters, well depth data, winch speed data, and wellhead tension data are obtained through a preset fusion method.

[0014] Based on the operating parameters of the winch operating valve, the well depth data, the winch speed data, and the wellhead tension data, and based on a preset assessment strategy, an assessment score for the winch operation is obtained; and, based on preset downhole parameters, the stuck condition, adsorption condition, or high tension condition during downhole operations are simulated, thereby providing trainees with training operations under various complex conditions.

[0015] At least one embodiment of this application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the method described above.

[0016] At least one embodiment of this application also provides a computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the steps of the method described above.

[0017] At least one embodiment of this application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the fiber optic logging winch simulation method as described above.

[0018] The fiber optic logging winch simulation system provided in this application has the following advantages compared to the prior art:

[0019] 1. High safety: Trainees practice operation in the simulation system without having to come into contact with real winch equipment and underground environment, thus avoiding safety accidents caused by operational errors;

[0020] 2. High training efficiency: By using simulation technology to simulate various operational scenarios, trainees can experience different operational tasks in a short period of time, thus improving training efficiency;

[0021] 3. Low cost: The simulation system does not require a large investment in equipment and site construction, thus reducing training costs;

[0022] 4. High scalability: The system can be extended to training for other positions, building an intelligent training center and enriching the simulation training system of the entire industry.

[0023] In some alternative embodiments, the system further includes:

[0024] The display device, communicatively connected to the control device, receives the downhole parameters and displays the operating parameters of the winch operating valve, the pulling speed data and winch torque data output by the data fusion subsystem, and the assessment and scoring results. It can intuitively display various operating data and / or assessment results, reducing training complexity and increasing training efficiency.

[0025] In some alternative embodiments, the system further includes:

[0026] The early warning subsystem is used to issue early warning messages when the assessment score meets preset conditions. It can respond in real time based on the current operation (such as violation, operation error, operation parameters not meeting the preset design standards, etc.) and intuitively convey the information to the operator.

[0027] In some alternative embodiments, the winch operating valve includes:

[0028] One or more of the following: drum operating valve, system pressure regulating valve, and drum brake. Appropriate operating valves can be selected based on specific requirements, offering a wide range of applicability.

[0029] In some optional embodiments, the simulation assessment subsystem further includes: an assessment item setting module, a simulation environment setting module, and a data operation module; wherein:

[0030] The assessment item setting module is used to set different assessment items according to the job requirements;

[0031] The simulation environment setting module is used to set one or more of the following parameters according to operational requirements: well depth, mud density, well wall friction, instrument string weight, and cable weight.

[0032] The data operation module is used to record the operating parameters of the trainee for the winch operating valve in real time.

[0033] In some alternative embodiments, the system further includes:

[0034] The database stores the operating parameters of each trainee for the winch control valve, as well as well depth data, winch speed data, wellhead tension data, and assessment scores obtained under each trainee's operation. It can save operator or trainee operation data and also supports the export of relevant operation data and / or assessment scores.

[0035] In some optional embodiments, the downhole parameters include:

[0036] Instrument string weight, cable weight, mud density, wellbore friction. Attached Figure Description

[0037] One or more embodiments are illustrated by way of example with reference numerals in the accompanying drawings. These illustrations do not constitute a limitation on the embodiments. Elements with the same reference numerals in the drawings are denoted as similar elements. Unless otherwise stated, the figures in the drawings are not to be limited by scale.

[0038] Figure 1 This is a schematic diagram of the structure of a fiber optic logging winch simulation system provided in an embodiment of the present disclosure;

[0039] Figure 2 This is a schematic diagram of another fiber optic logging winch simulation system provided in an embodiment of the present disclosure;

[0040] Figure 3 A schematic diagram of a simulation assessment subsystem provided in this embodiment of the present disclosure;

[0041] Figure 4 A flowchart of a fiber optic logging winch simulation system method provided in this embodiment of the disclosure. Detailed Implementation

[0042] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the various embodiments of the present invention will be described in detail below with reference to the accompanying drawings. However, those skilled in the art will understand that many technical details have been presented in the various embodiments of the present invention to enable the reader to better understand the present invention. However, the technical solutions claimed in the present invention can be implemented even without these technical details and various changes and modifications based on the following embodiments.

[0043] To address the shortcomings of existing technologies, the purpose of this invention is to provide a fiber optic logging winch simulation system, method, and computer program product. By simulating the real operating environment of a fiber optic logging winch, this invention provides trainees with a safe and repeatable training platform to improve training efficiency, reduce training costs, and promote the widespread application of fiber optic logging technology in the industry.

[0044] Example 1:

[0045] The embodiments of the present invention relate to a fiber optic logging winch simulation system.

[0046] like Figure 1 As shown, the fiber optic logging winch simulation system provided in this embodiment includes: a winch simulation subsystem, a data fusion subsystem, and a simulation and evaluation subsystem. Wherein:

[0047] The winch simulation subsystem includes a winch simulation control module and at least one winch operating valve. The winch simulation control module contains a well logging physical model. The winch simulation control module is used to obtain operating parameters based on the operation of the winch operating valve, and to obtain the winch lifting speed data and winch torque data through the well logging physical model based on the operating parameters.

[0048] As an example, the winch simulation subsystem can be used to implement the following functions:

[0049] (1) Simulate the operation process of the fiber optic logging winch, and input parameters according to the control status of the "drum control valve", "system pressure regulating valve" and "drum brake" and the physical parameters of the logging instrument string (such as weight and length).

[0050] (2) Simulate the movement of the fiber optic cable downhole to ensure that the operation process is highly consistent with the actual fiber optic logging operation.

[0051] Additionally, in the winch simulation subsystem:

[0052] (1) Inputs are: drum control valve opening, system pressure regulating valve pressure, and drum brake status;

[0053] (2) Outputs are: lifting speed and winch torque;

[0054] (3) The implementation method includes: acquiring status signals from the drum control valve, system pressure regulating valve, and drum brake through sensors.

[0055] The hoisting speed and winch torque are calculated based on physical models (such as torque balance equations and hydraulic system models), and the calculation results are transmitted to the data fusion system and winch panel in real time.

[0056] The data fusion subsystem is used to obtain well depth data, winch speed data, and wellhead tension data based on hoisting speed data, winch torque data, and received downhole parameters through a preset fusion method.

[0057] As an example, in the data fusion subsystem, downhole tension data can be generated based on parameters such as "instrument string weight," "fiber optic cable weight," "mud density," and "wellwall friction." Furthermore, combined with parameters such as "lifting speed" and "winch torque" provided by the winch simulation subsystem, the corresponding lifting speed and winch torque data are calculated based on the well logging physics model. For instance, the movement of the winch under different loads and operating conditions can be simulated using a dynamic mechanics model. Simultaneously, data such as well depth, velocity, and wellhead tension are generated through the data fusion algorithm and sent to the winch control panel for display.

[0058] Specifically, regarding the design of data fusion algorithms:

[0059] (1) Inputs are: hoisting speed and winch torque provided by the winch simulation subsystem; downhole parameters: instrument string weight, cable weight, mud density, and wellbore friction.

[0060] (2) Outputs are: well depth, velocity, and wellhead tension.

[0061] The simulation assessment subsystem includes a downhole complex working condition simulation module and a project assessment module. The project assessment module is used to obtain assessment scores for winch operation based on the operating parameters of the winch operating valve, well depth data, winch speed data, and wellhead tension data, and based on a preset assessment strategy. The downhole complex working condition simulation module is used to simulate stuck working conditions, adsorption working conditions, or high tension working conditions during downhole operations based on pre-set downhole parameters, thereby providing trainees with training operations under various working conditions.

[0062] As an example, the simulation assessment subsystem includes five modules: complex situation simulation, assessment items, simulation environment settings, operator operation data, and simulation scoring subsystem. Before the assessment, users can set the assessment items, complex situation simulation, and environmental parameters through the backend to simulate various working conditions in fiber optic logging. After the operator completes the operation according to the assessment items, the system will automatically generate an assessment score based on the operation data. Specifically:

[0063] (1) Complex situation simulation: Simulate complex situations that may be encountered in downhole operations, such as jamming, adsorption, and high tension;

[0064] (2) Assessment item setting: Different assessment items are set according to actual operational needs, such as fine control and emergency handling;

[0065] (3) Simulation environment settings: Users can customize environmental parameters such as well depth, mud density, and well wall friction.

[0066] (4) Operator operation data: The system records the operator's operation data in real time, including lifting speed, braking operation, etc.

[0067] (5) Simulation scoring subsystem: Automatically generates assessment scores based on indicators such as the accuracy of operation data and the standardization of operation.

[0068] The fiber optic logging winch simulation system provided in this application allows trainees to practice operation within the simulation system without needing to interact with real winch equipment and the downhole environment, thus avoiding safety accidents caused by operational errors. By simulating various operational scenarios using simulation technology, trainees can experience different operational tasks in a short period of time, improving training efficiency. The simulation system does not require a large investment in equipment and site construction, reducing training costs. The system can be extended to training for other positions, building an intelligent training center and enriching the simulation training system of the entire industry.

[0069] Example 2:

[0070] Based on the above embodiments, this embodiment further explains and illustrates the fiber optic logging winch simulation system provided in the above embodiments.

[0071] The winch simulation subsystem includes a winch simulation control module and at least one winch operating valve. The winch simulation control module contains a well logging physical model. The winch simulation control module is used to obtain operating parameters based on the operation of the winch operating valve, and to obtain the winch lifting speed data and winch torque data through the well logging physical model based on the operating parameters.

[0072] In some alternative embodiments, the winch operating valve includes:

[0073] One or more of the following: drum operating valve, system pressure regulating valve, and drum brake.

[0074] Specifically, the appropriate operating valve can be selected according to specific needs, making it highly applicable.

[0075] As an example, the winch simulation subsystem can be used to implement the following functions:

[0076] (1) Simulate the operation process of the fiber optic logging winch, and input parameters according to the control status of the "drum control valve", "system pressure regulating valve" and "drum brake" and the physical parameters of the logging instrument string (such as weight and length).

[0077] (2) Simulate the movement of the fiber optic cable downhole to ensure that the operation process is highly consistent with the actual fiber optic logging operation.

[0078] Additionally, in the winch simulation subsystem:

[0079] (1) Inputs are: drum control valve opening, system pressure regulating valve pressure, and drum brake status;

[0080] (2) Outputs are: lifting speed and winch torque;

[0081] (3) The implementation method includes: collecting the status signals of the drum control valve, system pressure regulating valve and drum brake through sensors, calculating the lifting speed and winch torque based on physical models (such as torque balance equation and hydraulic system model), and transmitting the calculation results to the data fusion system and winch panel in real time.

[0082] The data fusion subsystem is used to obtain well depth data, winch speed data, and wellhead tension data based on hoisting speed data, winch torque data, and received downhole parameters through a preset fusion method.

[0083] In some optional embodiments, the downhole parameters include:

[0084] Instrument string weight, cable weight, mud density, wellbore friction.

[0085] As an example, in the data fusion subsystem, downhole tension data can be generated based on parameters such as "instrument string weight," "fiber optic cable weight," "mud density," and "wellwall friction." Furthermore, combined with parameters such as "lifting speed" and "winch torque" provided by the winch simulation subsystem, the corresponding lifting speed and winch torque data are calculated based on the well logging physics model. For instance, the movement of the winch under different loads and operating conditions can be simulated using a dynamic mechanics model. Simultaneously, data such as well depth, velocity, and wellhead tension are generated through the data fusion algorithm and sent to the winch control panel for display.

[0086] Specifically, regarding the design of data fusion algorithms:

[0087] (1) Inputs are: hoisting speed and winch torque provided by the winch simulation subsystem; downhole parameters: instrument string weight, cable weight, mud density, and wellbore friction.

[0088] (2) Outputs are: well depth, velocity, and wellhead tension.

[0089] The simulation assessment subsystem includes a downhole complex working condition simulation module and a project assessment module. The project assessment module is used to obtain assessment scores for winch operation based on the operating parameters of the winch operating valve, well depth data, winch speed data, and wellhead tension data, and based on a preset assessment strategy. The downhole complex working condition simulation module is used to simulate stuck working conditions, adsorption working conditions, or high tension working conditions during downhole operations based on pre-set downhole parameters, thereby providing trainees with training operations under various working conditions.

[0090] In some optional embodiments, the simulation assessment subsystem further includes: an assessment item setting module, a simulation environment setting module, and a data operation module; wherein:

[0091] The assessment item setting module is used to set different assessment items according to the task requirements;

[0092] The simulation environment setting module is used to set one or more of the following parameters according to operational requirements: well depth, mud density, well wall friction, instrument string weight, and cable weight.

[0093] The data operation module is used to record the operating parameters of the winch control valves operated by trainees in real time.

[0094] As an example, the simulation assessment subsystem includes five modules: complex situation simulation, assessment items, simulation environment settings, operator operation data, and simulation scoring subsystem. Before the assessment, users can set the assessment items, complex situation simulation, and environmental parameters through the backend to simulate various working conditions in fiber optic logging. After the operator completes the operation according to the assessment items, the system will automatically generate an assessment score based on the operation data. Specifically:

[0095] (1) Complex situation simulation: Simulate complex situations that may be encountered in downhole operations, such as jamming, adsorption, and high tension;

[0096] (2) Assessment item setting: Different assessment items are set according to actual operational needs, such as fine control and emergency handling;

[0097] (3) Simulation environment settings: Users can customize environmental parameters such as well depth, mud density, and well wall friction.

[0098] (4) Operators operate data through the data operation module: The system records the operator's operation data in real time, including lifting speed, braking operation, etc.

[0099] (5) Simulation scoring subsystem: Automatically generates assessment scores based on indicators such as the accuracy of operation data and the standardization of operation.

[0100] In some alternative embodiments, the system further includes:

[0101] The database is used to store the operating parameters of each trainee for the winch control valve, as well as the well depth data, winch speed data, wellhead tension data, and assessment scores obtained under each trainee's operation.

[0102] Optionally, the database can be used to save operator or trainee operation data, and also supports the export of relevant operation data and / or assessment results.

[0103] In some alternative embodiments, the system further includes:

[0104] The display device, which is connected in communication with the control device, is used to receive downhole parameters and display the operating parameters of the winch operating valve, the pulling speed data and winch torque data output by the data fusion subsystem, as well as the assessment and scoring results.

[0105] The display device can intuitively show various operational data and / or assessment results, reducing training complexity and increasing training efficiency.

[0106] In some alternative embodiments, the display device also supports the entry or input of relevant data.

[0107] The system also includes:

[0108] In some alternative embodiments, the system further includes:

[0109] The early warning subsystem is used to issue early warning messages when the assessment and scoring results meet preset conditions.

[0110] Optionally, warnings can be issued not only when the assessment score is not up to standard, but also for the operational parameters corresponding to the operator's actions.

[0111] For example, the early warning subsystem can respond in real time based on the current operation (such as violation of regulations, operational errors, or operation parameters that do not meet the preset design standards) and intuitively transmit the information to the operator or trainee.

[0112] The fiber optic logging winch simulation system provided in this application allows trainees to practice operation within the simulation system without needing to interact with real winch equipment and the downhole environment, thus avoiding safety accidents caused by operational errors. By simulating various operational scenarios using simulation technology, trainees can experience different operational tasks in a short period of time, improving training efficiency. The simulation system does not require a large investment in equipment and site construction, reducing training costs. The system can be extended to training for other positions, building an intelligent training center and enriching the simulation training system of the entire industry.

[0113] Example 3:

[0114] Based on the above embodiments, this embodiment provides a specific example.

[0115] This embodiment is described from both hardware and software perspectives; please refer to the following for details. Figure 2 .

[0116] 1. Hardware system setup:

[0117] (1) The control panel is designed according to the layout of the actual winch control panel and is equipped with operating handles, buttons, display screens and other equipment.

[0118] (2) The sensor module is installed at a key position on the control panel to detect information such as the position of the control handle and the pressed state of the button.

[0119] (3) The drive unit is connected to the simulated winch and drives the simulated winch to perform actions such as cable winding and unwinding, and winch starting and stopping, according to the instructions of the control unit.

[0120] (4) The display device is used to display information such as the simulated downhole environment, cable status, and operating parameters.

[0121] 2. Software system configuration:

[0122] (1) The simulation engine is developed based on computer graphics and physics engine to simulate the underground environment, the dynamic behavior of cables, the mechanical characteristics of winches, etc., and generate realistic virtual scenes and operation feedback.

[0123] (2) The teaching module uses multimedia to present the theoretical knowledge of the structure, working principle, and operation process of the well logging winch.

[0124] (3) The training module sets up a variety of simulation scenarios according to different training tasks, such as normal operation, fault handling, emergency response, etc. Trainees can practice in these scenarios.

[0125] (4) The assessment module evaluates the trainees’ operations in real time, and provides scores and feedback based on indicators such as accuracy, standardization and efficiency of the operations, and generates an assessment report.

[0126] (5) The database stores information such as downhole environment data, cable parameters, winch parameters, and trainee operation records, providing data support for the simulation engine and assessment module.

[0127] Based on the above, the implementation process of the training will be described below (the simulation assessment subsystem can be found in the following section). Figure 3 ):

[0128] (1) Trainees first learn the theoretical knowledge of the structure, working principle, and operation process of the logging winch through the display screen or auxiliary teaching equipment on the control panel.

[0129] (2) Then, students practice actual operation in the simulation system. The simulation engine generates corresponding virtual scenes and operation feedback based on the students' operation instructions. Students can observe the operation effect through the display screen.

[0130] (3) The assessment module evaluates the trainees' operations in real time, and gives scores and feedback based on indicators such as accuracy, standardization and efficiency of the operations, and generates an assessment report. Trainees can make targeted improvements based on the assessment report.

[0131] (4) Trainees can choose different simulation scenarios to practice repeatedly based on the assessment results until they have mastered the operation skills.

[0132] Example 4:

[0133] Another embodiment of this application relates to a fiber optic logging winch simulation method, implemented based on the fiber optic logging winch simulation system described above. The following implementation details are provided for ease of understanding and are not essential for implementing this solution.

[0134] The fiber optic logging winch simulation method of this embodiment can be applied to electronic devices with communication, computing, and data storage capabilities.

[0135] like Figure 4 As shown, the fiber optic logging winch simulation method provided in this embodiment includes the following steps:

[0136] Step 410: Obtain operating parameters based on the operation of the winch operating valve, and obtain the winch lifting speed data and winch torque data through the well logging physical model based on the operating parameters;

[0137] Step 420: Based on the hoisting speed data, winch torque data, and received downhole parameters, obtain well depth data, winch speed data, and wellhead tension data through a preset fusion method;

[0138] Step 430: Based on the operating parameters of the winch operating valve, well depth data, winch speed data, and wellhead tension data, and based on the preset assessment strategy, obtain the assessment score results for winch operation; and, based on the preset downhole parameters, simulate the stuck working conditions, adsorption working conditions, or high tension working conditions during downhole operations, thereby providing trainees with training operations under various complex working conditions.

[0139] It should be noted that the preset fusion method described above mainly includes the following processing steps:

[0140] 1. Regarding the determination of buoyancy for downhole instruments, the buoyancy force F1 experienced by the downhole instrument in a mud environment is:

[0141] F1=ρ*g*V

[0142] Where ρ is the mud density, calculated as mud specific gravity / 1000, and g is taken as 9.8 N / Kg; V is the instrument string volume, determined based on the instrument outer diameter and instrument string length h1.

[0143] It should be noted that when the instrument string is not fully submerged in the mud environment, the length of the instrument string in the mud environment is determined by subtracting the fluid level from the instrument string's depth in the well. In this case, only the length of the instrument string submerged in the mud environment needs to be calculated. When the entire instrument string is submerged in the mud environment, the entire length of the instrument string is used for calculation.

[0144] 2. Method for determining the instrument weight F2:

[0145] F2=m*g

[0146] Where m is the weight of the instrument.

[0147] 3. Method for determining the instrument resistance F3:

[0148] F3=(F2-F1)*k*v2

[0149] Where k is the resistance coefficient and v is the instrument string speed, i.e., the winch lowering speed.

[0150] 4. Method for determining the weight F4 of the underground cable:

[0151] F4=k1*h2*g

[0152] Where K1 is the mass of cable per meter, h2 is the length of cable entering the well, and h2 = depth of entry into the well h - length of instrument string h1.

[0153] 5. Method for determining the buoyancy F5 of the underground cable:

[0154] F5=ρ*g*V1

[0155] Where ρ is the mud density, calculated as mud specific gravity / 1000, and g is taken as 9.8 N / Kg; V1 is the volume of the cable entering the well, which is determined based on the cable outer diameter and the length of the cable entering the well.

[0156] 6. Method for determining the resistance F6 of the downhole cable:

[0157] F6=(F5-F4)*k*v2

[0158] Where k is the resistance coefficient and v is the cable speed, i.e., the winch lowering speed.

[0159] 7. Method for determining downhole tension F7:

[0160] F7 = F2 - F1 - F3

[0161] 8. Method for determining surface tension (i.e. wellhead tension) F8:

[0162] F8 = F7 + F4 - F5 - F6

[0163] 9. The winch drum controller controls the speed of the winch's lifting and lowering by changing the angle of the operating handle. The program evolves into the parameter winch control force F9.

[0164] For a cable-loaded roller, its physical model is a cylinder, and its radius varies with the number of cable layers. (The layer inflection point depth is set according to the cable length, and the effective radius of the roller with cables is calculated based on the number of layers).

[0165] The effective radius r = r1 + d * k; where r1 is the radius of the drum itself, d is the diameter of the cable, and k is the number of cable layers on the drum.

[0166] 10. Regarding the moment of inertia of the drum, when the axis of rotation is the axis of the cylinder, the moment of inertia is I = mr. 2 / 2, where m is the mass of the cylinder and r is the radius of the cylinder.

[0167] 11. Method for determining the effective mass of the drum:

[0168] m = m1 + k1*(h3 - h2)

[0169] Where K1 is the mass of cable per meter, h2 is the length of the cable entering the well, h2 = well depth h - instrument string length h1, and h3 is the total length of the cable.

[0170] 12. Method for determining the frictional resistance F10 of the roller:

[0171] F10=m*g*k2

[0172] Where m is the effective mass of the roller, g is taken as 9.8 N / Kg, and k2 is the coefficient of friction.

[0173] 13. Method for determining the overall torque of the roller:

[0174] T = (F9 + F8 - F10) * r

[0175] Wherein, torque = moment of inertia I * angular acceleration β.

[0176] (F9+F8-F10)*r=mr 2 / 2*β, and thus, angular acceleration β=2(F9+F8-F10) / mr.

[0177] The acceleration a is now the angular acceleration β*r, that is, a = 2(F9 + F8 - F10) / m.

[0178] Then, using the speed formula Vt=v0+a*t, the winch speed at the current time can be calculated.

[0179] Where V0 is the velocity of the previous sampling time, a is the acceleration of the previous sampling time, and t is the sampling period.

[0180] Then, calculate the cable insertion depth h in the well using the speed and distance formula:

[0181] h = h0 + V*t

[0182] Where h0 is the depth of the previous sampling time, v is the acceleration of the previous sampling time, and t is the sampling period.

[0183] It should be noted that: the parameters are set according to the actual simulation parameters of each well, including mud density ρ, instrument string length h1, cable mass per meter k1 and cable assembly h3. The default parameters, resistance coefficients k and k2, are set according to experience or debugging. In addition, the winch controller control force F9 is used to detect the change in the operating handle.

[0184] Based on the fiber optic logging winch simulation system described above, and through the fiber optic logging winch simulation method provided in this application embodiment, trainees can practice operation in the simulation system without having to contact the actual winch equipment and downhole environment, thus avoiding safety accidents caused by operational errors. By simulating various operating scenarios through simulation technology, trainees can experience different operating tasks in a short period of time, improving training efficiency. The simulation system does not require a large investment in equipment and site construction, reducing training costs. The system can be extended to training for other positions, building an intelligent training center and enriching the simulation training system of the entire industry.

[0185] Example 5:

[0186] Another embodiment of this application relates to an electronic device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the fiber optic logging winch simulation method in the above embodiments.

[0187] The memory and processor are connected via a bus, which can include any number of interconnecting buses and bridges, connecting various circuits of one or more processors and memories. The bus can also connect various other circuits, such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and will not be described further herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be a single element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices over a transmission medium. Data processed by the processor is transmitted over the wireless medium via an antenna, which further receives data and transmits it to the processor.

[0188] The processor manages the bus and handles general processing, and also provides various functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. Memory, on the other hand, is used to store data used by the processor during operation.

[0189] Example 6:

[0190] Another embodiment of this application relates to a computer-readable storage medium storing a computer program. When executed by a processor, the computer program implements the method embodiments described above.

[0191] That is, those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0192] In some embodiments of this application, a computer program product is also provided, including a computer program that, when executed by a processor, implements the steps of the methods described in the above embodiments.

[0193] Those skilled in the art will understand that the above embodiments are specific embodiments for implementing this application, and in practical applications, various changes can be made to them in form and detail without departing from the spirit and scope of this application.

Claims

1. A fiber optic logging winch simulation system, characterized in that, The system includes: a winch simulation subsystem, a data fusion subsystem, and a simulation assessment subsystem; wherein: The winch simulation subsystem includes a winch simulation control module and at least one winch operating valve; wherein, the winch simulation control module includes a well logging physical model, and the winch simulation control module is used to obtain operating parameters based on the operation of the winch operating valve, and obtain winch lifting speed data and winch torque data through the well logging physical model based on the operating parameters; The data fusion subsystem is used to obtain well depth data, winch speed data, and wellhead tension data based on the jacking speed data, the winch torque data, and the received downhole parameters through a preset fusion method. The simulation assessment subsystem includes a downhole complex working condition simulation module and a project assessment module. The project assessment module is used to obtain an assessment score for the winch operation based on the operating parameters of the winch operating valve, the well depth data, the winch speed data, and the wellhead tension data, and based on a preset assessment strategy. The downhole complex working condition simulation module is used to simulate stuck working conditions, adsorption working conditions, or high tension working conditions during downhole operations based on preset downhole parameters, thereby providing trainees with training operations under various working conditions.

2. The system according to claim 1, characterized in that, The system also includes: The display device is communicatively connected to the control device and is used to receive the downhole parameters, display the operating parameters of the winch operating valve, the pulling speed data and winch torque data output by the data fusion subsystem, and the assessment score results.

3. The system according to claim 1, characterized in that, The system also includes: The early warning subsystem is used to issue an early warning message when the assessment score meets preset conditions.

4. The system according to claim 1, characterized in that, The winch operating valve includes: One or more of the following: drum operating valve, system pressure regulating valve, and drum brake.

5. The system according to claim 1, characterized in that, The simulation assessment subsystem also includes: an assessment item setting module, a simulation environment setting module, and a data operation module; wherein: The assessment item setting module is used to set different assessment items according to the job requirements; The simulation environment setting module is used to set one or more of the following parameters according to operational requirements: well depth, mud density, well wall friction, instrument string weight, and cable weight. The data operation module is used to record the operating parameters of the trainee for the winch operating valve in real time.

6. The system according to claim 1, characterized in that, The system also includes: The database is used to store the operating parameters of each trainee for the winch operating valve, as well as the well depth data, winch speed data, wellhead tension data, and assessment scores obtained under the operation of each trainee.

7. The system according to claim 1, characterized in that, The downhole parameters include: Instrument string weight, cable weight, mud density, wellbore friction.

8. A method for simulating a fiber optic logging winch, characterized in that, Based on the system implementation according to any one of claims 1 to 7, the method includes: Operating parameters are obtained based on the operation of the winch operating valve, and the winch lifting speed data and winch torque data are obtained through the well logging physical model based on the operating parameters. Based on the lifting speed data, the winch torque data, and the received downhole parameters, well depth data, winch speed data, and wellhead tension data are obtained through a preset fusion method. Based on the operating parameters of the winch operating valve, the well depth data, the winch speed data, and the wellhead tension data, and based on a preset assessment strategy, an assessment score for the winch operation is obtained; and, based on preset downhole parameters, the stuck condition, adsorption condition, or high tension condition during downhole operations are simulated, thereby providing trainees with training operations under various complex conditions.

9. An electronic device, characterized in that, include: At least one processor; as well as, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method as described in claim 8.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method of claim 8.

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