Shaft environment simulation experiment system and method

Abstract

The invention relates to the technical field of oilfield development, in particular to a wellbore environment simulation experiment system and method.The system comprises a simulation wellbore which is formed by connecting multiple sections of coiled coiled tubing in series and used for simulating the wellbore environment; the stratum rock debris module can dynamically inject rock debris with different physical properties according to a geological sequence; the formation fluid module is used for simulating formation fluid; the bottom hole temperature module can accurately control the bottom hole temperature; the bottom hole pressure module can simulate formation pressure; the digital twin system receives data of each module to construct a virtual wellbore model and feeds back calibration experiment parameters in real time; the optical fiber sensing network realizes continuous monitoring of temperature and strain of the whole shaft; the data acquisition and analysis module is used for analyzing a multiphase flow evolution law; through the combination of the digital twin system and the optical fiber sensing network, the high-fidelity simulation of the shaft environment is realized, the simulation precision and the monitoring capability are obviously improved, various experimental objects are supported, and powerful technical support is provided for oil-gas exploration and drilling engineering.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of oilfield development, in particular to a wellbore environment simulation experiment system and method. BACKGROUND

[0002] Facing the new generation of oil and gas exploration and development background with intelligence and high efficiency as the core, it covers multiple cutting-edge technical fields such as simulation wellbore technology, intelligent monitoring system, distributed optical fiber sensing, high-end downhole tool, and complex geological simulation, and focuses on realizing the deep interaction and fusion of physical wellbore environment and digital virtual model.

[0003] As an advanced oil and gas engineering experiment technology, the wellbore environment simulation system has the advantages of high-precision simulation and intelligent monitoring, and can be applied to oil and gas exploration and development experiments under various complex geological conditions. Through accurate simulation and monitoring of multiple parameters such as fluid, cuttings, temperature, and pressure in the wellbore, physical experiment data is converted into digital information for analysis, and then the accurate reproduction and prediction of complex engineering phenomena in the wellbore are realized. This feature makes the wellbore environment simulation system have important application value in the fields of mud logging instrument research and development, downhole tool testing, drilling process optimization, and wellbore disaster prevention and control.

[0004] The traditional wellbore environment simulation system has limited simulation accuracy and is difficult to capture continuous parameter changes due to its single monitoring method and the use of point sensors. It cannot meet the requirements of accurate simulation of complex oil and gas reservoirs and cannot realize real-time monitoring and accurate analysis of dynamic processes such as fluid phase change and cuttings migration in the wellbore. At the same time, it lacks support for testing unconventional oil and gas resources and intelligent drilling tools, and cannot meet the development needs of modern oil and gas exploration and development for high-fidelity, multifunctional, and intelligent simulation systems. SUMMARY

[0005] Therefore, in order to solve the above problems in the prior art, the present application provides a wellbore environment simulation experiment system and method.

[0006] Embodiments of the present application are implemented as follows: In a first aspect, the present application provides a wellbore environment simulation experiment system, comprising: The simulation wellbore is used to simulate the wellbore environment by connecting multiple sections of coiled tubing in series, and the sensors are connected between the pipes through a tee joint. The formation cuttings module is used to dynamically inject cuttings with different physical properties according to the geological sequence through an intelligent cuttings supply unit. The formation fluid module is used to simulate formation fluid through a variety of hydrocarbons and crude oil blending unit. The bottom hole temperature module is used to accurately control the bottom hole temperature by using a heat conducting oil circulation heating method. The bottom hole pressure module is configured to simulate formation pressure by adopting a hydraulic closed-loop pressurization mode. The digital twin system is configured to construct a virtual wellbore model by receiving data of the formation debris module, the formation fluid module, the bottom hole temperature module and the bottom hole pressure module, and to feed back calibration experimental parameters in real time. The optical fiber sensing network is configured to continuously monitor temperature and strain of the whole wellbore by distributed optical fibers. The data acquisition and analysis module is configured to analyze multiphase flow evolution data by comprehensive logging instruments and microfluidic chips.

[0007] In a possible implementation, the digital twin system comprises: A physical parameter acquisition unit is configured to acquire temperature, pressure and flow data in real time. A virtual mapping engine is configured to generate a three-dimensional model of the wellbore environment based on a fluid mechanics and thermodynamics coupling algorithm. A dynamic calibration module is configured to compare measured values and simulated values, and to automatically adjust heating and pressurization parameters.

[0008] In a possible implementation, the distributed optical fibers of the optical fiber sensing network are arranged along the coiled tubing constituting the simulated wellbore, and are pre-embedded in the coiled tubing armor layer, so as to continuously monitor temperature and strain of the simulated wellbore.

[0009] In a possible implementation, the experimental objects of the wellbore environment simulation experiment system include unconventional oil and gas resources, intelligent drilling tools and disaster working conditions. The unconventional oil and gas resources include shale gas fracturing flowback natural gas hydrates, the intelligent drilling tools include rotary steerable tool bias force testing and measurement while drilling instruments, and the disaster working conditions include blowout and cuttings bed sticking.

[0010] In a possible implementation, the simulated wellbore is further provided with a protective layer outside, which can prevent external interference from affecting experimental results.

[0011] In a possible implementation, the data acquisition and analysis module further comprises data analysis software, which can display and analyze collected multiphase flow evolution data in real time.

[0012] In a possible implementation, the bottom hole temperature module further comprises a cooling system for rapidly reducing wellbore temperature after the experiment ends.

[0013] In a possible implementation, the formation debris module further comprises a debris recycling device for recycling debris for reuse after the experiment ends.

[0014] In a possible implementation, the optical fiber sensing network further comprises an optical fiber protection device for preventing the optical fiber from being damaged during the experiment.

[0015] In a second aspect, the application provides a wellbore environment simulation experiment method, comprising: According to the experimental requirements, a simulated wellbore, a formation debris module, a formation fluid module, a well bottom temperature module, a well bottom pressure module, a digital twin system, an optical fiber sensing network and a data acquisition and analysis module are built; The initialization settings of each module are performed, including setting the length and diameter of the simulated wellbore, configuring the debris type and injection rate of the formation debris module, adjusting the fluid composition and concentration of the formation fluid module, and setting the target temperature and pressure value of the well bottom temperature and pressure module; The digital twin system is started, and the temperature, pressure, flow and other data of the simulated wellbore in the initial state are obtained through the data acquisition and analysis module, and a virtual wellbore environment model is constructed; The optical fiber sensing network is started, and a full-wellbore baseline scan is performed to obtain the temperature and strain distribution of the wellbore in the initial state; The experiment scene parameters are preset through the digital twin system; The formation debris module, the formation fluid module, the well bottom temperature module and the well bottom pressure module are activated in sequence, so that each module starts to run according to the preset parameters to simulate the actual working condition in the wellbore; The data acquisition and analysis module collects the fluid composition, debris characteristics, temperature and pressure data at the outlet end of the wellbore in real time through the comprehensive logging instrument and the microfluidic chip; The optical fiber sensing network collects the change data of the temperature, strain and other parameters in the wellbore in real time, and transmits the data to the digital twin system at a high frequency; The virtual mapping engine of the digital twin system updates the virtual wellbore model according to the real-time collected data, and the dynamic calibration module compares the deviation between the measured value and the simulated value; The data analysis software processes and analyzes the collected data in real time, extracts key information, and visually displays the experimental results in the form of charts, curves and the like.

[0016] The technical scheme provided by the application can at least achieve the following beneficial effects: The wellbore environment simulation experiment system and method provided by the application can significantly improve the accuracy, monitoring capability and intelligent level of wellbore environment simulation by integrating a digital twin system, a distributed optical fiber sensing network and an advanced data acquisition and analysis module. The virtual wellbore environment model is constructed by using the digital twin system, the physical system is mapped in real time, the heating and pressurizing strategies are dynamically optimized by using a machine learning algorithm, and the problem of temperature and pressure field distribution distortion in the traditional system is solved. Meanwhile, the heating and pressurizing parameters are automatically adjusted by comparing the measured value with the simulation value, the high fidelity of the simulation result is ensured, the distributed optical fiber sensing network is used to realize continuous monitoring of the temperature and strain of the whole wellbore, high spatial resolution data are provided, the continuous change of the parameters in the wellbore is captured, and the limitation of the traditional point sensor is solved.

[0017] The system provided by the application supports unconventional oil and gas resources, intelligent drilling tools and disaster working conditions and the like, can flexibly preset experimental scene parameters and adapt to different experimental requirements. The data acquisition and analysis module can acquire data in real time by using a comprehensive logging instrument and a microfluidic chip, extract key information and intuitively display by using data analysis software, and improve the research efficiency. The modular design facilitates integration and function expansion, the intelligent feedback and optimization mechanism improves the experimental efficiency and the accuracy of the result. The logging instrument and downhole tool are optimized, the disaster working condition is simulated, a scientific basis is provided to ensure operation safety, the experimental cost and time are reduced by recycling materials and quickly restoring the system.

[0018] In general, the application provides strong technical support for oil and gas exploration and drilling engineering. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor.

[0020] Figure 1 is a structural schematic diagram of a wellbore environment simulation experiment system according to an example embodiment of the application; Figure 2 is a flow schematic diagram of a wellbore environment simulation experiment method according to an example embodiment of the application.

[0021] Reference signs: 1, simulated wellbore; 2, formation debris module; 3, formation fluid module; 4, bottom hole temperature module; 5, bottom hole pressure module; 6, digital twin system; 7, optical fiber sensing network; 8, data acquisition and analysis module. DETAILED DESCRIPTION

[0022] In order to make the purposes, embodiments and advantages of the present application more clear, the following will combine the drawings in the exemplary embodiments of the present application to clearly and completely describe the exemplary embodiments of the present application. Obviously, the described exemplary embodiments are only a part of the embodiments of the present application, but not all the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, and are not intended to limit the present application.

[0023] It should be noted that the brief description of the terms in the present application is only for the convenience of understanding the subsequently described embodiments, and is not intended to limit the embodiments of the present application. Unless otherwise specified, these terms should be understood according to their ordinary and general meanings.

[0024] The terms "first", "second", "third" and the like in the specification and claims of the present application and the above drawings are used to distinguish similar or similar objects or entities, and do not necessarily mean to limit the specific order or sequence, unless otherwise specified. It should be understood that the terms used in this way can be interchanged under appropriate circumstances.

[0025] The terms "include" and "have" and any variations thereof are intended to cover but not exclusive inclusion, for example, a product or device including a series of components does not have to be limited to all the components clearly listed, but can include other components not clearly listed or inherent to these products or devices.

[0026] Before explaining the wellbore environment simulation experimental method provided by the embodiments of the present application, the application scenarios and implementation environments of the embodiments of the present application are introduced.

[0027] Facing the new generation of oil and gas exploration and development background with the core of intelligentization and high efficiency, covering simulation wellbore technology, intelligent monitoring system, distributed optical fiber sensing, high-end downhole tool, complex geological simulation and other multiple frontier technical fields, and focusing on realizing the deep interaction and fusion of physical wellbore environment and digital virtual model.

[0028] As an advanced oil and gas engineering experimental technology, the wellbore environment simulation system has the advantages of high-precision simulation and intelligent monitoring, and can be applied to oil and gas exploration and development experiments under various complex geological conditions. Through accurate simulation and monitoring of multiple parameters such as fluid, cuttings, temperature and pressure in the wellbore, physical experimental data is converted into digital information that can be analyzed, and then the accurate reproduction and prediction of complex engineering phenomena in the wellbore are realized. This feature makes the wellbore environment simulation system have important application value in the fields of logging instrument research and development, downhole tool testing, drilling process optimization, wellbore disaster prevention and control, etc.

[0029] Traditional wellbore environment simulation systems have limited simulation accuracy and are difficult to capture continuous changes in parameters due to their single monitoring means and the use of point sensors, which cannot meet the requirements of accurate simulation of complex oil and gas reservoirs and multi-phase flow, and cannot achieve real-time monitoring and accurate analysis of dynamic processes such as phase change of fluid in the wellbore and cuttings migration. At the same time, they are not suitable for testing unconventional oil and gas resources and intelligent drilling tools, and cannot meet the development needs of modern oil and gas exploration and development for high-fidelity, multi-functional and intelligent simulation systems.

[0030] Therefore, the wellbore environment simulation experiment system and method are provided. A virtual wellbore environment model is constructed by using a digital twin system, and a distributed optical fiber sensing network is used to realize continuous monitoring of full-wellbore parameters, supporting shale gas fracturing flowback, natural gas hydrate decomposition, intelligent drilling tool working condition testing and other experimental objects. The core innovation is high-fidelity simulation, full-wellbore optical fiber sensing network and multi-dimensional expansion of experimental objects, which provides an intelligent experiment platform for downhole tool research and development, logging instrument calibration and disaster prevention and control.

[0031] Next, the technical solutions of the present application and how the technical solutions of the present application solve the above technical problems will be described in detail through embodiments and in conjunction with the drawings. Each embodiment can be combined with each other, and the same or similar concepts or processes can not be described again in some embodiments. Obviously, the described embodiments are part of the embodiments of the present application, not all.

[0032] In one exemplary embodiment, as shown in Figure 1 A wellbore environment simulation experiment system is provided. In this embodiment, the system can include: The simulated wellbore 1 is used to simulate the wellbore environment by connecting multiple coiled tubing sections in series, and the sensors are connected between the pipes through a tee joint.

[0033] In one embodiment, the simulated wellbore 1 is formed by connecting multiple coiled tubing sections in series, forming an overall simulated wellbore environment. This structure design allows the simulation of wellbore environments at different depths and geological conditions.

[0034] The length and diameter of the wellbore can be adjusted according to experimental requirements to adapt to different experimental scenarios. The pipes are connected by a tee joint to ensure smooth flow of fluid and cuttings. In addition, a protective layer is provided outside the simulated wellbore to prevent external interference from affecting the experimental results.

[0035] The formation cuttings module 2 is used to dynamically inject cuttings with different physical properties according to the geological sequence through an intelligent cuttings supply unit.

[0036] In one embodiment, the formation debris module 2 comprises an intelligent debris supply unit capable of dynamically injecting debris of different physical properties according to the geological sequence. The module dynamically adjusts the injection rate and type of debris according to the preset geological model and experimental requirements through an intelligent control system.

[0037] The debris supply unit can replace debris of different rock physical properties to simulate the environment of different lithologic formations. In addition, the formation debris module also includes a debris recycling device for recycling debris after the experiment is completed for repeated use.

[0038] The formation fluid module 3 is used to simulate formation fluids through a variety of hydrocarbon and crude oil blending units.

[0039] In one embodiment, the formation fluid module 3 comprises a variety of hydrocarbon and crude oil blending system for simulating real formation fluid environment. The module can blend different types of hydrocarbon fluids to adapt to different types of oil and gas reservoir conditions.

[0040] The fluid module dynamically adjusts the injection rate and composition of the fluid according to the experimental requirements through an intelligent control system. In addition, the formation fluid module also includes a fluid storage and recovery system for storing and recovering the fluid used during the experiment.

[0041] The bottom hole temperature module 4 is used to accurately control the bottom hole temperature by using a heat conducting oil circulation heating method.

[0042] In one embodiment, the bottom hole temperature module 4 uses a heating method to accurately control the bottom hole temperature. The module realizes heating through a heat conducting oil circulation system to ensure uniform distribution and accurate control of temperature.

[0043] The bottom hole temperature module is also equipped with a cooling system for rapidly reducing the wellbore temperature after the experiment is completed to restore the system to the initial state. In addition, the bottom hole temperature module monitors temperature changes in real time through sensors to ensure the accuracy of temperature control. The bottom hole pressure module 5 is used to simulate formation pressure by using a hydraulic closed-loop pressurization method.

[0044] In one embodiment, the bottom hole pressure module uses a pressurization method to simulate formation pressure. The module realizes accurate control of pressure through a hydraulic system to ensure uniform distribution and accurate control of pressure.

[0045] The bottom hole pressure module monitors pressure changes in real time through sensors to ensure the accuracy of pressure control. In addition, the bottom hole pressure module is also equipped with a pressure release system for rapidly releasing pressure after the experiment is completed to restore the system to the initial state.

[0046] The digital twin system 6 is configured to construct a virtual wellbore model by receiving data of the formation debris module, the formation fluid module, the bottom hole temperature module and the bottom hole pressure module, and to feed back calibration experimental parameters in real time.

[0047] In one embodiment, the digital twin system is one of the core innovations of the present application, which acquires data such as temperature, pressure and flow rate in the wellbore in real time through a physical parameter acquisition unit.

[0048] The virtual mapping engine generates a three-dimensional model of the wellbore environment based on a fluid mechanics and thermodynamics coupling algorithm, the dynamic calibration module compares the measured value with the simulated value, and automatically adjusts the heating and pressurizing parameters to ensure the consistency of the virtual model and the actual wellbore environment. The digital twin system is calibrated in real time to ensure high fidelity of the simulation results.

[0049] The optical fiber sensing network 7 is configured to continuously monitor the temperature and strain of the whole wellbore through distributed optical fibers.

[0050] In one embodiment, the optical fiber sensing network is another core innovation of the present application, which is composed of distributed optical fibers and is embedded in the armor layer of the coiled tubing to realize continuous monitoring of the temperature and strain of the whole wellbore.

[0051] The optical fiber sensing network can provide high spatial resolution temperature and strain data, support real-time monitoring and dynamic calibration, and is also equipped with an optical fiber protection device to ensure the safety of the optical fiber during the experiment.

[0052] The data acquisition and analysis module 8 is configured to analyze multiphase flow evolution data through a comprehensive logging instrument and a microfluidic chip.

[0053] In one embodiment, the data acquisition and analysis module includes a comprehensive logging instrument and a microfluidic chip for analyzing the evolution law of multiphase flow in the wellbore. The module can acquire data such as fluid composition, debris characteristics, temperature and pressure at the outlet end of the wellbore in real time.

[0054] The data acquisition and analysis module also includes data analysis software that can display and analyze the collected data in real time, and extract key information such as fluid phase transition point and debris transport efficiency.

[0055] The same technical concept is adopted, as shown in Figure 2 The present application also provides a wellbore environment simulation experiment method, which comprises the following steps: Step 101: According to the experimental requirements, a simulated wellbore, a formation debris module, a formation fluid module, a bottom hole temperature module, a bottom hole pressure module, a digital twin system, an optical fiber sensing network and a data acquisition and analysis module are built.

[0056] Step 102: Initialize and set up each module, including setting the length and diameter of the simulated wellbore, configuring the type and injection rate of the formation debris module, adjusting the fluid composition and concentration of the formation fluid module, setting the target temperature and pressure values of the bottom hole temperature and pressure module.

[0057] Step 103: Start the digital twin system, obtain temperature, pressure, flow rate and other data of the simulated wellbore in the initial state through the data acquisition and analysis module, and build a virtual wellbore environment model.

[0058] Step 104: Start the optical fiber sensing network and perform baseline scanning of the entire wellbore to obtain the temperature and strain distribution of the wellbore in the initial state.

[0059] Step 105: Pre-set experimental scenario parameters through the digital twin system.

[0060] Step 106: Activate the formation debris module, formation fluid module, bottom hole temperature module and bottom hole pressure module in sequence, so that each module starts running according to the pre-set parameters to simulate the actual working conditions in the wellbore.

[0061] Step 107: The data acquisition and analysis module collects fluid composition, debris characteristics, temperature and pressure data at the outlet end of the wellbore in real time through the comprehensive logging instrument and microfluidic chip.

[0062] Step 108: The optical fiber sensing network collects real-time data of temperature, strain and other parameters in the wellbore and transmits the data to the digital twin system at a high frequency.

[0063] Step 109: The virtual mapping engine of the digital twin system updates the virtual wellbore model according to the real-time collected data, and the dynamic calibration module compares the deviation between the measured value and the simulated value.

[0064] Step 110: The data analysis software processes and analyzes the collected data in real time, extracts key information, and displays the experimental results in the form of charts, curves and other forms.

[0065] In one embodiment, the specific implementation method of the wellbore environment simulation experiment method is as follows: According to the experimental requirements, build a simulated wellbore, formation debris module, formation fluid module, bottom hole temperature module, bottom hole pressure module, digital twin system, optical fiber sensing network and data acquisition and analysis module, initialize and set up each module, including setting the length and diameter of the simulated wellbore, configuring the type and injection rate of the formation debris module, adjusting the fluid composition and concentration of the formation fluid module, setting the target temperature and pressure values of the bottom hole temperature and pressure module, etc., check the connection of each part of the system, and ensure that the sensors, optical fibers, data acquisition equipment, etc. work normally.

[0066] The digital twin system is started, the temperature, pressure, flow rate and other data of the simulated wellbore initial state are acquired by the physical parameter acquisition unit, the virtual mapping engine is based on the coupling algorithm of fluid mechanics and thermodynamics, the virtual wellbore environment model is constructed according to the initial data collected, and the dynamic calibration module is used to calibrate the virtual model for the first time to ensure that the virtual model is consistent with the actual wellbore state.

[0067] The optical fiber sensing network is started, the baseline scanning of the whole wellbore is carried out, the temperature and strain distribution of the wellbore initial state are acquired, the baseline scanning data are transmitted to the digital twin system, and the virtual model is compared to further optimize the accuracy of the virtual model.

[0068] According to the experimental requirements, the experimental scene parameters such as the fluid flow velocity in the wellbore, the amount of cuttings injection, the temperature and pressure change rate are preset through the digital twin system, the formation cutting module, the formation fluid module, the well bottom temperature module and the well bottom pressure module are activated in sequence, so that each module starts to run according to the preset parameters to simulate the actual working condition in the wellbore.

[0069] In the experiment, the optical fiber sensing network collects the change data of the temperature, strain and other parameters in the wellbore in real time, and transmits the data to the digital twin system at a high frequency, the virtual mapping engine of the digital twin system updates the virtual wellbore model according to the real-time collected data, the dynamic calibration module compares the deviation between the measured value and the simulated value, and automatically adjusts the heating and pressurizing parameters to ensure the high fidelity of the simulation results.

[0070] The data acquisition and analysis module collects the multiphase flow evolution data of the fluid components, cutting characteristics, temperature, pressure and other parameters at the outlet end of the wellbore in real time through the comprehensive logging instrument and the microfluidic chip, the data analysis software processes and analyzes the collected data in real time, extracts key information such as fluid phase change point, cutting transport efficiency, wellbore pressure change trend, and displays the experimental results in the form of charts, curves and other forms.

[0071] After the experiment is completed, the formation cutting module, the formation fluid module, the well bottom temperature module and the well bottom pressure module are first closed, the simulation process is stopped, the cooling system of the well bottom temperature module is started, the wellbore temperature is quickly reduced to room temperature, the cuttings used in the experimental process are recovered through the cutting recovery device of the formation cutting module, and are properly treated or stored for reuse, the optical fiber sensing network and the digital twin system are closed, the connection between the modules is disconnected, and the system is restored to the initial state.

[0072] The collected experimental data are comprehensively evaluated to analyze the evolution law of multiphase flow in the wellbore and the information distortion mechanism from the well bottom to the wellhead, and according to the experimental results, the calibration parameters of the logging instrument are optimized, the design and performance of the downhole tool are improved, and a scientific basis is provided for disaster prevention and control measures. The experimental results are applied to actual oil and gas exploration and drilling engineering to improve operation efficiency, reduce cost and ensure safety in production.

[0073] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence as indicated, these steps are not necessarily executed in the order as indicated. Unless explicitly stated herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other orders. Moreover, at least part of the steps in the flowcharts involved in the above embodiments can include multiple steps or stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence of these steps or stages is not necessarily sequential, but can be executed in rotation or alternation with at least part of other steps or steps or stages in other steps.

[0074] The technical features of the above embodiments can be combined in any manner. To make the description concise, not all possible combinations of the technical features in the above embodiments are described, but as long as the combinations of the technical features do not contradict, they should be considered as within the scope of the present disclosure.

[0075] The above embodiments only express several implementation manners of the present application, and the description is specific and detailed, but it should not be understood as a limitation on the scope of the patent. It should be pointed out that, for ordinary skilled persons in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are all within the scope of the present application. Therefore, the scope of protection of the patent of the present application should be subject to the appended claims.

Claims

1. A wellbore environment simulation experiment system, characterized in that, The simulation wellbore is used to simulate the wellbore environment by connecting the coiled tubing in series, and the sensors are connected by the three-way joint between the pipes. The formation debris module is used to dynamically inject debris of different properties according to the geological sequence through the intelligent debris supply unit. The formation fluid module is used to simulate the formation fluid through the multi-hydrocarbon and crude oil deployment unit. The bottom hole temperature module is used to accurately control the bottom hole temperature by using the heat conduction oil circulation heating method. The bottom hole pressure module is used to simulate the formation pressure by using the hydraulic closed-loop pressurization method. The digital twin system is used to receive data from the formation debris module, the formation fluid module, the bottom hole temperature module and the bottom hole pressure module to construct a virtual wellbore model and provide real-time feedback on the experimental parameters. The optical fiber sensing network is used to continuously monitor the temperature and strain of the whole wellbore through distributed optical fibers. The data acquisition and analysis module is used to analyze multiphase flow evolution data through comprehensive logging instruments and microfluidic chips. The digital twin system includes:

2. The wellbore environment simulation laboratory system of claim 1, wherein, A physical parameter acquisition unit is used to acquire temperature, pressure and flow data in real time. A virtual mapping engine is used to generate a three-dimensional model of the wellbore environment based on the fluid mechanics and thermodynamics coupling algorithm. A dynamic calibration module is used to compare the measured value with the simulated value and automatically adjust the heating and pressurization parameters. The distributed optical fibers of the optical fiber sensing network are laid along the coiled tubing that constitutes the simulation wellbore and are embedded in the armor layer of the coiled tubing, which can continuously monitor the temperature and strain of the simulation wellbore.

3. The simulated wellbore environment laboratory system of claim 1, wherein, The experimental objects of the wellbore environment simulation experiment system include unconventional oil and gas resources, intelligent drilling tools and disaster working conditions.

4. The simulated wellbore environment laboratory system of claim 1, wherein, The unconventional oil and gas resources include shale gas fracturing return natural gas hydrate, the intelligent drilling tools include rotary steering tool bias force testing and measurement while drilling, and the disaster working conditions include blowout and debris bed sticking. The simulation wellbore is further provided with a protective layer outside to prevent external interference from affecting the experimental results.

5. The simulated wellbore environment laboratory system of claim 1, wherein, The data acquisition and analysis module further includes data analysis software that can display and analyze the collected multiphase flow evolution data in real time.

6. The simulated wellbore environment laboratory system of claim 1, wherein, The bottom hole temperature module further includes a cooling system for quickly reducing the wellbore temperature after the experiment is completed.

7. The wellbore environment simulation experiment method of claim 1, wherein, The formation debris module further includes a debris recycling device for recycling debris for reuse after the experiment is completed.

8. The mine shaft environment simulation experimental method of claim 1 wherein, The optical fiber sensing network further includes an optical fiber protection device for preventing the optical fiber from being damaged during the experiment.

9. The mine shaft environment simulation experimental method of claim 1 wherein, The simulation wellbore environment simulation experiment system includes:

10. A method of modeling an environment of a wellbore, the method comprising: According to the experimental requirements, the simulation wellbore, formation debris module, formation fluid module, bottom hole temperature module, bottom hole pressure module, digital twin system, optical fiber sensing network and data acquisition and analysis module are built; The initialization settings of each module are set, including setting the length and diameter of the simulation wellbore, configuring the debris type and injection rate of the formation debris module, deploying the fluid composition and concentration of the formation fluid module, and setting the target temperature and pressure values of the bottom hole temperature and pressure modules; The digital twin system is started, and the temperature, pressure, flow and other data of the simulation wellbore in the initial state are obtained through the data acquisition and analysis module, and a virtual wellbore environment model is constructed; ​ Start the optical fiber sensing network, conduct a full wellbore baseline scan, and obtain the temperature and strain distribution of the wellbore in the initial state; Pre-set the experimental scene parameters through the digital twin system; Activate the formation debris module, formation fluid module, bottom hole temperature module, and bottom hole pressure module in sequence, so that each module starts running according to the pre-set parameters, simulating the actual working conditions in the wellbore; The data acquisition and analysis module collects fluid composition, debris characteristics, temperature, and pressure data at the outlet end of the wellbore in real time through the comprehensive logging instrument and microfluidic chip; Through the optical fiber sensing network, real-time data of temperature, strain, and other parameters in the wellbore are collected and transmitted to the digital twin system at a high frequency; The virtual mapping engine of the digital twin system updates the virtual wellbore model according to the real-time collected data, and the dynamic calibration module compares the deviation between the measured value and the simulated value; The data analysis software processes and analyzes the collected data in real time, extracts key information, and displays the experimental results in the form of charts, curves, and other forms.

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