AR-based well site monitoring system

Abstract

The invention discloses a well site monitoring system based on AR, and the system comprises an environment collection module which is used for obtaining the internal environment information of a well site; the information supercomputing module is used for determining equipment data information according to the internal environment information of the well site and performing early warning prompt on the working state of the well site based on the equipment data information; the AR equipment module is used for obtaining a well site operation process and a prompt operation process based on a user instruction in combination with the early warning prompt information and the internal environment information of the well site; and the data transmission module is used for realizing communication between the environment acquisition module and the information processing module and between the information supercomputing module and the AR equipment module based on the 5G networking technology. According to the system, the AR technology and the 5G networking technology can be combined, all-day real-time automatic collection of well site equipment data is realized, the maintenance process is displayed to a user by adopting the augmented reality technology, the operation link flow is prompted, and the labor intensity and the safety risk of staff are reduced while the efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence monitoring well site equipment, and in particular to an AR-based well site monitoring system. Background Art

[0002] With the continuous advancement of science and technology, wearable devices, smartphones and tablets are widely used, and the application scenarios of AR technology are becoming more and more abundant. Now it has become an important part of real life. AR technology can combine virtual information with the real world, and users can obtain supplementary and enriched virtual information in real scenes at the same time. In addition, AR technology can also use spatial input devices, such as cameras and sensors, to identify and track objects or scenes, and realize the accurate superposition and display of virtual information. These characteristics make AR technology have great potential in improving user experience, improving efficiency, and developing new products. AR technology can also allow users to interact with virtual objects and information. As a new and popular research field in recent years, AR technology has a wide range of applications. Augmented reality technology can be seen in the fields of advertising, navigation, home and industrial applications, entertainment games, education, medical care, translation, etc.

[0003] Combining AR technology with technologies such as the Internet of Things, big data, and artificial intelligence will help create more comprehensive solutions for the oil and gas industry. my country's oil fields are vast and distributed with a large number of oil wells. As oil and gas fields are constantly discovered, they need to be developed on a large scale, and the continuous and stable operation of oil well equipment is the primary condition to ensure exploitation. Due to the wide distribution of oil wells, the monitoring and control of the working conditions of oil wells has always been an important and difficult task at the well site. Among them, well site patrol, well site equipment data entry, wellhead machinery start and stop and other tasks require a large number of people to complete, which is difficult to manage and has high labor costs. In addition, underground operations are far from the ground, the underground conditions are complex, there are many uncertain factors in the terrain and working environment, and the accident rate is high. Therefore, AR technology can be used to effectively reduce safety accidents caused by uncertain factors.

[0004] In response to the above problems, Saudi Aramco uses drones and head-mounted AI computers to inspect pipelines and mechanical equipment; Shell Group uses AR headset applications to remotely guide employees' operations; Schlumberger uses AR computers to combine oil and gas production data with well testing operations, forming an online instrument display based on browser pages that collects field data through AI computer technology. It can be seen that the existing technology associates AR equipment with field equipment operation data, which improves the flexibility of field personnel operations and reduces costs. However, AR technology cannot provide prompts for the operation process of the well site maintenance process.

[0005] Therefore, in order to ensure that wellsite technicians can accurately grasp the downhole production situation, prevent possible failures in advance, correctly respond to abnormal situations, and ensure the smooth operation of wellsite equipment, it is crucial to establish an AR-based wellsite monitoring and risk warning system. Summary of the invention

[0006] The purpose of the present invention is to establish a wellsite monitoring system that combines AR technology with wellsite networking, so that wellsite personnel wearing AR equipment can accurately grasp the downhole production situation, prevent possible failures in advance, and correctly respond to abnormal situations.

[0007] In order to solve the above technical problems, an embodiment of the present invention provides an AR-based well site monitoring system, including: an environment acquisition module, which is used to obtain the internal environment information of the well site; an information supercomputing module, which is used to determine the equipment data information according to the internal environment information of the well site, and to provide early warning prompts for the working status of the well site based on the equipment data information; an AR equipment module, which is used to obtain the well site operation progress and prompt operation procedures based on user instructions, combined with the early warning prompt information and the internal environment information of the well site; a data transmission module, which is used to realize communication between the environment acquisition module and the information supercomputing module, and between the information supercomputing module and the AR equipment module based on 5G networking technology.

[0008] Preferably, the environment acquisition module includes: well site sensor equipment, which is used to collect operating data information of each well site equipment in real time, and the equipment includes but is not limited to: diesel generator sets, top drives, drilling pumps, winches, turntables and well control equipment; downhole logging instruments, which are used to collect engineering parameters, gas measurement data, mud data and related data information about various drilling operations in real time; image acquisition equipment, which is used to perform real-time image acquisition of the working status of multi-node equipment in various drilling operations in the well site, wherein the drilling operation includes: well control throttling operation, and the image information collected by the well control throttling operation includes but is not limited to: mechanical instruments, dials and switch quantities of the manifold and vertical pressure gauges, casing pressure gauges, valve position opening gauges, oil pressure gauges, air pressure gauges, three-position four-way reversing valves and speed regulating valves on the hydraulic control box panel.

[0009] Preferably, the operating data information of the diesel generator set, top drive, drilling pump, drawworks, turntable and well control equipment includes: obtaining the diesel engine speed, coolant temperature, boost pressure, exhaust temperature, generator voltage, current, active power, frequency and related parameter information according to the diesel generator set model; obtaining the speed, torque, motor voltage, motor current, lubricating oil temperature, lubricating oil pressure and related parameter information according to the top drive model; obtaining the current, voltage, fan feedback, lubricating oil pressure feedback, pump stroke, pump pressure and related parameter information of the drilling pump; obtaining the current, voltage, fan feedback, lubricating oil pressure feedback, bearing temperature, drum temperature and related parameter information of the drawworks; obtaining the current, voltage, fan feedback, lubricating oil pressure feedback and related parameter information of the turntable; obtaining the accumulator pressure, manifold pressure, annular pressure, gas source pressure, annular, upper half-seal, fully sealed, lower half-seal, spare, bypass, shear, blowout position and related parameter information of the well control equipment.

[0010] Preferably, the information supercomputing module is also used to identify the image data collected by the image acquisition device into dynamic parameter values ​​and switch quantity data by using an intelligent algorithm through the well site supercomputing center.

[0011] Preferably, the information supercomputing module is also used to extract abnormal data from the internal environmental information of the well site, and based on the abnormal data, use the equipment fault diagnosis algorithm to diagnose the operation of each equipment in the well site, so as to push early warning prompt information to the AR equipment module in real time based on the diagnosis results.

[0012] Preferably, the abnormal data in the internal environmental information of the well site include: abnormal temperature and pressure of the diesel generator set; abnormal temperature and pressure of the top drive; abnormal anti-slip of the pulley of the drilling pump, abnormal inlet pressure, abnormal lubricating oil pressure, abnormal wind pressure, and abnormal spray pump; winch collision, abnormal disc brake working clamp pressure, and abnormal wind pressure; abnormal wind pressure and lubricating oil pressure of the turntable; wherein the information supercomputing module is also used to automatically extract fault features from the real-time operating parameters of each device based on the internal environmental information of the well site, combined with expert experience and historical data related to equipment failure, and perform correlation analysis on the real-time operating parameters of each device and the fault feature parameters, determine the main controlling factors of different fault causes, automatically extract, analyze and judge the fault features, and realize intelligent diagnosis and early warning for different fault causes. The equipment failure types include but are not limited to: top drive motor failure, winch motor failure, mud pump motor failure, mud pump hydraulic end failure, mud pump power end and cooling and lubrication system failure.

[0013] Preferably, the information supercomputing module is also used to identify the working condition based on the internal environmental information of the well site and several abnormal data, conduct operation data change analysis in combination with the response characteristics corresponding to various types of complex downhole faults and the monitoring characteristic parameters of various equipment, calculate the risk level of complex downhole faults occurring in the current well site, and thus determine the corresponding alarm prompts. The monitoring characteristic parameters include but are not limited to: monitoring parameters, monitoring time, abnormal duration, threshold setting interval, amplitude oscillation number and fluctuation range. The types of complex downhole faults include but are not limited to: well leakage, overflow, well collapse and drill stuck.

[0014] Preferably, the information supercomputing module is also used to automatically extract complex prompts of neighboring wells in the well design plan and search for complex case information of similar formations in surrounding neighboring wells based on the well number, wellhead coordinates, drilling depth and formation information of the current well, so as to provide relevant risk warnings and risk response processing operation references for the current well.

[0015] Preferably, the AR equipment module is used to obtain the internal environment information of the well site, the operating data information and early warning prompt information of each equipment, and receive the user's voice instructions, so as to use the preset current maintenance procedures and adopt augmented reality technology to show the maintenance process to the user and prompt the operation process.

[0016] Preferably, the data transmission module includes: using an independent private network 5G networking, which is independently built by the well site, including wireless, bearer and core networks; realizing communication between downhole equipment and the well site base station through CPE, and transmitting the internal environment information of the well site to the information supercomputing module based on the well site base station; the AR equipment module obtains the internal environment information of the well site, the operation data information of each equipment and the early warning prompt information based on the 5G networking base station.

[0017] Compared with the prior art, one or more embodiments of the above scheme may have the following advantages or beneficial effects:

[0018] The present invention discloses an AR-based wellsite monitoring system, which obtains the internal environment information of the wellsite in real time through the environment acquisition module, determines the equipment data information through the information supercomputing module, and provides early warning prompts for the working status of the wellsite; uses the AR equipment module to obtain user instructions, combines the early warning prompt information and the internal environment information of the wellsite, and displays the wellsite operation progress and operation process prompts to the user; based on 5G networking technology, the communication between the environment acquisition module and the information supercomputing module, and between the information supercomputing module and the AR equipment module is realized. The AR-based wellsite monitoring system disclosed by the present invention can realize the real-time automatic collection of wellsite equipment data throughout the day, ensure the accurate grasp of the production status of the oil well, and greatly shorten the time for fault discovery. The AR-based wellsite monitoring system can use the preset maintenance procedures and adopt augmented reality technology to show the maintenance process to the user and prompt the operation link process. While improving efficiency, it reduces the labor intensity and safety risks of employees.

[0019] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0021] Figure 1 This is a schematic diagram of the overall structure of the AR-based well site monitoring system according to an embodiment of the present application. DETAILED DESCRIPTION

[0022] The following will describe the implementation methods of the present invention in detail with reference to the accompanying drawings and embodiments, so that the implementation process of how the present invention applies technical means to solve technical problems and achieve technical effects can be fully understood and implemented accordingly. It should be noted that as long as there is no conflict, the various embodiments of the present invention and the various features in the embodiments can be combined with each other, and the technical solutions formed are all within the protection scope of the present invention.

[0023] In addition, the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions. Also, although a logical sequence is shown in the flowchart, in some cases, the steps shown or described can be performed in a sequence different from that here.

[0024] The terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments. Unless the context clearly indicates otherwise, the singular forms "one", "one" and "item" used herein are also intended to include plural numbers. It should also be understood that the terms "include" and / or "comprise" used herein specify the existence of stated features, integers, steps, operations, units and / or components, without excluding the existence or addition of one or more other features, integers, steps, operations, units, components and / or combinations thereof.

[0025] With the continuous advancement of science and technology, wearable devices, smartphones and tablets are widely used, and the application scenarios of AR technology are becoming more and more abundant. Now it has become a basic component of real life. AR technology can combine virtual information with the real world, so that users can obtain supplementary and enriched virtual information in real scenes at the same time. In addition, AR technology can also use spatial input devices, such as cameras and sensors, to identify and track objects or scenes, and realize the accurate superposition and display of virtual information. These characteristics make AR technology have great potential in improving user experience, improving efficiency, and developing new products. AR technology also allows users to interact with virtual objects and information. As a new and popular research field in recent years, augmented reality has a wide range of applications and has entered many fields of modern life. Augmented reality technology can be seen in the fields of advertising, navigation, home and industrial applications, entertainment games, education, medical care, translation, etc.

[0026] Combining AR technology with technologies such as the Internet of Things, big data, and artificial intelligence will help create more comprehensive solutions for the oil and gas industry. my country's oil fields are vast and distributed with a large number of oil wells. Oil and gas fields are constantly being discovered and need to be developed on a large scale. The continuous and stable operation of oil well equipment is the primary condition to ensure exploitation. Due to the wide distribution of oil wells, the monitoring and control of the working conditions of oil wells has always been an important and difficult task at the well site. Among them, well site patrol, well site equipment data entry, wellhead machinery start and stop and other tasks require a large number of people to complete, which is difficult to manage and has high labor costs. In addition, underground operations are far from the ground, the underground conditions are complex, there are many uncertain factors in the terrain and working environment, and the incidence of things is high. AR technology can effectively reduce safety accidents caused by uncertain factors.

[0027] In response to the above problems, Saudi Aramco uses drones and head-mounted AI computers to inspect pipelines and mechanical equipment; Shell Group uses AR headset applications to remotely guide employees' operations; Schlumberger uses AR computers to combine oil and gas production data with well testing operations, forming an online instrument display based on browser pages that collects field data through AI computer technology. It can be seen that the existing technology associates AR equipment with downhole equipment operation data, which enhances the flexibility of on-site personnel operations and reduces costs. However, it cannot provide prompts for the operation process of the downhole maintenance process.

[0028] Therefore, in order to ensure the smooth operation of well site equipment, well site technicians must accurately grasp the downhole production situation, prevent possible failures in advance, and be able to correctly respond to abnormal situations. It is crucial to establish an AR-based well site monitoring and risk warning system.

[0029] Embodiment 1

[0030] Figure 1 FIG. 1 is a schematic diagram of the overall structure of the well site monitoring system based on AR according to an embodiment of the present application. Figure 1 As shown, the AR-based well site monitoring system described in the embodiment of the present invention includes: an environment acquisition module 101, an information supercomputing module 102, an AR device module 103 and a data transmission module 104.

[0031] The environment acquisition module 101 is used to obtain the internal environment information of the well site. In one embodiment, the environment acquisition module 101 includes: well site sensor equipment, downhole logging instruments and image acquisition equipment. The well site sensor equipment is used to collect the operation data information of each well site equipment in real time. The well site equipment includes but is not limited to: diesel generator sets, top drives, drilling pumps, winches, turntables and well control equipment. The downhole logging instrument is used to collect engineering parameters, gas measurement data, mud data and related data information about various drilling operations in real time. The image acquisition equipment is used to collect images of the working status of multi-node equipment in various drilling operations in the well site in real time.

[0032] In one embodiment, the operating data information of the diesel generator set, top drive, drilling pump, drawworks, turntable and well control equipment includes: obtaining the diesel engine speed, coolant temperature, boost pressure, exhaust temperature, generator voltage, current, active power, frequency and related parameter information according to the diesel generator set model; obtaining the speed, torque, motor voltage, motor current, lubricating oil temperature, lubricating oil pressure and related parameter information according to the top drive model; obtaining the current, voltage, fan feedback, lubricating oil pressure feedback, pump stroke, pump pressure and related parameter information of the drilling pump; obtaining the current, voltage, fan feedback, lubricating oil pressure feedback, bearing temperature, drum temperature and related parameter information of the drawworks; obtaining the current, voltage, fan feedback, lubricating oil pressure feedback and related parameter information of the turntable; obtaining the accumulator pressure, manifold pressure, annular pressure, gas source pressure, annular, upper half-seal, full seal, lower half-seal, spare, bypass, shear, blowout position and related parameter information of the well control equipment.

[0033] In an embodiment of the present invention, the operation status of the well site equipment is obtained in real time and the equipment data is collected by arranging sensor equipment at the well site. A sensor is set at the diesel generator set, and the collected equipment data information is read through the RS485 port communication method. The relevant parameters are collected based on the models of different equipment, such as diesel engine speed, coolant temperature, boost pressure, exhaust temperature and more than 20 parameters, and more than 10 parameters such as generator voltage, current, active power, frequency, etc. are collected. A collection module is added to the top drive to collect the speed, torque, motor voltage, motor current, lubricating oil temperature, lubricating oil pressure and other parameters of the top drive, and the above parameter information is read through the profinet communication method. Sensor equipment is placed on the drilling pump to collect the current, voltage, fan feedback, lubricating oil pressure feedback, pump stroke, pump pressure and other parameters of the drilling pump. Sensor equipment is placed on the winch to collect the current, voltage, fan feedback, lubricating oil pressure feedback, bearing temperature, drum temperature and other parameters of the winch. Sensor equipment is placed at the turntable to collect the current, voltage, fan feedback, lubricating oil pressure feedback and other parameters of the turntable. Sensor equipment is placed at the well control equipment to collect parameters such as accumulator pressure, manifold pressure, annular pressure, gas source pressure, etc. of the well control equipment, and obtain well control equipment information, including but not limited to: annular, fully sealed, lower half sealed, spare, bypass, shear, blowout position and other information.

[0034] Furthermore, downhole logging instruments are used to collect engineering parameters, gas measurement data, mud data and other parameters in real time, and image acquisition equipment is placed to collect images of the working status of multi-node equipment in various drilling operations at the well site in real time.

[0035] In one embodiment, the drilling operation includes but is not limited to: well control throttling operation. The image information collected by the well control throttling operation includes but is not limited to: mechanical instruments, dials and switch quantities of the manifold, and the vertical pressure gauge, casing pressure gauge, valve position opening degree gauge, oil pressure gauge, air pressure gauge, three-position four-way reversing valve and speed regulating valve on the hydraulic control box panel.

[0036] Monitor various instruments of the choke manifold, well-killing manifold, and hydraulic control box to collect key information, including but not limited to: accumulator pressure, manifold pressure, gas source pressure, annular pressure, blowout standby status, and switch times. In addition, the image acquisition equipment is also used to collect images of well control throttling operations, and obtain real-time images of mechanical instruments, dials, and switch quantities of the manifold, as well as the vertical pressure gauge, casing pressure gauge, valve position opening gauge, oil pressure gauge, air pressure gauge, three-position four-way reversing valve, and speed regulating valve on the panel of the hydraulic control box.

[0037] In the embodiment of the present invention, the hydraulic throttle valve is controlled by the hydraulic control box to control the opening degree of the throttle valve, and the manual throttle valve is controlled by turning the hand wheel to control the opening degree of the throttle valve. The change of the casing pressure and the vertical pressure of the well can be controlled by controlling the opening degree of the throttle valve. The pressure relief effect of the throttle valve reduces the wellhead pressure to achieve "soft well closing"; a large amount of liquid (gas) is discharged through the straight-through blowout preventer valve channel to reduce the wellhead casing pressure, protect the wellhead blowout preventer group, and lead the overflow out of the well site to prevent the well site from catching fire and poisoning personnel, and ensure the safety of underground operations. When the wellhead is fully sealed with a full-sealed gate, the well killing fluid is connected to the well killing manifold through the check valve to enter the wellbore and implement the well killing operation. When a blowout occurs, clean water is forcibly pumped into the well through the well killing manifold to prevent combustion and fire. When a blowout occurs and a fire occurs, a fire extinguishing agent is forcibly pumped into the well through the well killing manifold to help extinguish the fire. When operating the throttle manifold and the well-killing manifold, it should be noted that the valve plate of the flat valve is a closing part that moves linearly in the vertical direction along the center line of the channel. It only serves to cut off and open the channel. The valve plate can only be in two positions: fully open and fully closed. The throttle valve plate is a closing part with the axis as the rotation axis, which serves to adjust the throttling area of ​​the fluid. The handwheel rotates counterclockwise to open, and clockwise to close. Before installing the adjustable orifice throttle valve, check whether the middle flange nut is loose, and check the end distance of the two flanges, which should meet the requirements of the standard. When operating the throttle valve, the opening degree becomes smaller and tends to close when the handwheel is rotated clockwise, and the opening degree becomes larger when the handwheel is rotated counterclockwise. The opening of the throttle valve can be displayed from the scale on the shield. When the handwheel is about to reach the end of the stroke, it should not be rotated too fast to avoid damaging the valve stem and the limit cap. Special attention: The throttle valve can only be used to control pressure and flow, and must not serve as a cut-off seal. Avoid tying a lifting rope to the handwheel during transportation.

[0038] The environment acquisition module 101 can collect the production and operation parameters of the well site in real time, grasp the production status more accurately, greatly improve the efficiency and quality of management work data, and reduce labor costs.

[0039] The information supercomputing module 102 is used to determine the equipment data information according to the internal environment information of the well site, and to provide early warning prompts for the working status of the well site based on the equipment data information.

[0040] In this embodiment, the information supercomputing module 102 can directly obtain the real-time equipment data collected by the well site sensor equipment in the environment acquisition module 101, and can also use the intelligent algorithm to identify the image data collected by the image acquisition device into dynamic parameter values ​​and switch data. The intelligent algorithm extracts image features through edge detection method, detects the target image (for example: image detection of each parameter acquisition item), identifies (for example: identifies the data in each parameter acquisition item) and records (for example: records the data identified for each item).

[0041] Furthermore, the information supercomputing module 102 is used to extract abnormal data from the internal environmental information of the well site, and based on the abnormal data, use the equipment fault diagnosis algorithm to diagnose the operation status of each equipment in the well site, so as to push early warning prompt information to the AR equipment module in real time based on the diagnosis results.

[0042] In the embodiment of the present invention, conditional information of various data anomalies is pre-set in the information supercomputing module 102, and the information supercomputing module 102 extracts abnormal data from the internal environment information of the well site, and further identifies abnormal conditions of the operation of the well site equipment.

[0043] In the embodiment of the present invention, the abnormal data includes but is not limited to: abnormal temperature and pressure of the diesel generator set; abnormal temperature and pressure of the top drive; abnormal anti-slip of the drilling pump pulley, abnormal inlet pressure, abnormal lubricating oil pressure, abnormal wind pressure, and abnormal spray pump; winch collision, disc brake working clamp pressure abnormality, abnormal wind pressure; abnormal wind pressure of the turntable, abnormal lubricating oil pressure, etc.

[0044] Furthermore, the information supercomputing module 102 is also used to automatically extract fault features from the real-time operating parameters of each device based on the internal environment information of the well site, combined with the expert experience and historical data related to the equipment failure, and perform correlation analysis on the real-time operating parameters of each device and the fault feature parameters, determine the main control factors of different fault causes, and automatically extract, analyze and judge the fault features to achieve intelligent diagnosis and early warning for different fault causes. In the embodiment of the present invention, the equipment failure types include but are not limited to: top drive motor failure, winch motor failure, mud pump motor failure, mud pump hydraulic end failure, mud pump power end and cooling and lubrication system failure.

[0045] Furthermore, the information supercomputing module 102 is also used to identify the working conditions based on the internal environment information of the well site and several abnormal data, and to analyze the changes in the operating data in combination with the response characteristics corresponding to various types of downhole complex faults and the monitoring characteristic parameters of various equipment, and to calculate the risk level of downhole complex faults occurring in the current well site, thereby determining the corresponding alarm prompts. In an embodiment of the present invention, the monitoring characteristic parameters include but are not limited to: monitoring parameters, monitoring time, abnormal duration, threshold setting interval, amplitude oscillation times and fluctuation range. In addition, downhole complex fault types include but are not limited to: well leakage, overflow, well collapse and drill stuck.

[0046] In the embodiment of the present invention, the information supercomputing module performs correlation analysis on the real-time operating parameters of the equipment and the fault characteristic parameters (vibration, temperature, sound, etc.) based on expert experience and historical data, and then determines the main controlling factors of different fault causes. Automatically extract, analyze and judge the fault characteristics, establish intelligent diagnosis models for different equipment fault causes, and integrate all intelligent diagnosis models into equipment fault diagnosis algorithms. Based on the equipment fault diagnosis algorithm, according to the data collected in real time by the field logging instrument, the real-time dynamics of the drilling geology and engineering information, the working condition is identified to realize intelligent diagnosis and early warning for different fault causes. Further, the information supercomputing module 102 is also used to identify the working condition according to the internal environment information and abnormal data of the well site, and combine the response characteristics of underground complex faults such as well leakage, overflow, well collapse and stuck drill, and analyze the data changes by combining the modes of threshold, amplitude, fluctuation range, etc. According to the preset monitoring parameters, monitoring time, abnormal duration, threshold setting interval, amplitude oscillation number, fluctuation range, etc. of various underground complex conditions, the risk level of various underground complex conditions is calculated, and the early warning prompt information is pushed to the AR equipment module 103 in real time.

[0047] For example: wellhead back pressure is controlled by controlling the throttle valve opening. During drilling operations, wellhead back pressure needs to be maintained within a certain range. The information supercomputing module 102 will also automatically compare and calculate based on the wellhead back pressure range specified by the target well, combined with the drilling fluid displacement and valve opening obtained through real-time monitoring, to determine whether the wellhead back pressure is within the normal range. When the information supercomputing module 102 diagnoses that the wellhead back pressure range deviates from the normal range, it will push an alarm prompt to the AR device module in real time.

[0048] Furthermore, the information supercomputing module 102 is also used to automatically extract the complex prompts of neighboring wells in the well design plan and search for complex case information of similar formations in surrounding neighboring wells based on the well number, wellhead coordinates, drilling depth, and formation information of the current well, so as to provide relevant risk warnings and risk response processing operation references for the current well. The current well refers to the well operated by the well site personnel wearing AR equipment.

[0049] In this embodiment, wells with adjacent locations and similar formations have the same or similar terrain and downhole operating environment. Therefore, the prompt information and case information of neighboring wells are of great reference value. The information supercomputing module 102 uses the well number, wellhead coordinates, drilling depth, and formation information of the well operated by the well site personnel wearing AR equipment as search conditions to extract complex prompt information of neighboring wells as a reference for responding to abnormal risks. In addition, the information supercomputing module 102 also searches for complex case information of similar formations in the surrounding neighboring wells to provide a reference for relevant risk warnings and risk response processing operations for the current well.

[0050] The AR device module 103 is worn by the well site staff and is used to obtain the well site operation progress and prompt operation process based on user instructions, combined with early warning prompt information and well site internal environment information.

[0051] AR device module 103 includes but is not limited to: handheld AR devices and head-mounted AR devices. Well site personnel wearing AR devices can send instructions to the AR device in the form of voice, action, etc. AR device module 103 obtains the internal environment information of the well site, the operating data information of each device and the early warning prompt information, and combines the received user instructions with the preset current maintenance procedures, using augmented reality technology to show the maintenance process to the user and prompt the operation process. The current maintenance procedure is the maintenance procedure corresponding to the well operated by the well site personnel wearing AR devices.

[0052] In this embodiment, the AR device module 103 combines the internal environment information of the well site, the operating data information of each device and the early warning prompt information to display the equipment operation status to the well site personnel wearing the AR device, and can be used for remote equipment maintenance, control of well site equipment and other related operations. When the AR device module obtains the early warning prompt information, it means that an abnormal working condition has occurred in the well site. The AR device module identifies the working condition based on the implementation data of the on-site logging, and diagnoses complex conditions such as overflow, well leakage, and blowout.

[0053] Further, based on the diagnostic result system preset in the AR device module 103, the AR device module 103 prompts the corresponding operation guidance procedures to the well site personnel wearing the AR device. The prompted operation guidance procedures include, but are not limited to: the well shut-in procedure when overflow or well kick occurs during drilling, the well shut-in procedure when overflow or well kick occurs when the drill pipe is pulled up, and the well shut-in procedure when overflow or well kick occurs in an empty well. Moreover, the AR device module 103 is also used to display the maintenance progress to the user in real time, and to prompt the operation link process. The prompted operation link process includes, but is not limited to: indicating the order of closing or opening the annular blowout preventer, semi-closed gate blowout preventer, throttle valve, flat valve, etc. in the AR recognition system.

[0054] The data transmission module 104 is used to realize the communication between the environment acquisition module 101 and the information supercomputing module 102, and between the information supercomputing module 102 and the AR device module 103 based on 5G networking technology.

[0055] In this embodiment, a 5G independent private network independently built by the well site is adopted, including wireless, bearer and core networks. The independent private network has high security and does not share resources with the operating Internet network. Therefore, when the operating network fails, it will not affect the 5G networking of the well site, and the network function can independently run version upgrades and function iterations as needed. In addition, the independent private network of the well site monitoring system is simple to maintain, can be centrally operated and maintained, and fault location is relatively easy.

[0056] Furthermore, the AR equipment module 103 obtains the internal environment information of the well site, the operation data information of each equipment and the early warning prompt information based on the 5G networking base station.

[0057] In this embodiment, the AR device module 103 and the information supercomputing module 102 respectively establish connections with the 5G networking base station for data transmission. The information supercomputing module 102 converts the internal environment information of the well site, the operating data information of each device, and the early warning prompt information into digital signals and transmits them to the 5G networking base station. The base station decodes and transmits the data to the core network, and finally transmits it to the AR device module 103. Based on this, the AR device module 103 obtains the internal environment information of the well site, the operating data information of each device, and the early warning prompt information.

[0058] The data transmission module 104 also includes: realizing communication between the downhole equipment and the well site base station through the CPE, and transmitting the internal environment information of the well site to the information supercomputing module 102 based on the well site base station.

[0059] In this embodiment, CPE is a wireless terminal access device that receives data information sent by downhole equipment and transmits it to the well site base station. After receiving the data information, the well site base station unpacks and decrypts it, and then transmits the decoded data to the information transmission module. Based on this, the information supercomputing module obtains the internal environment information of the well site.

[0060] In this embodiment, the AR-based well site monitoring system achieves functional expansion or addition through the following methods, including: standardizing data interface standards to achieve unified data aggregation, processing and service exports, and then unifying the data layer; based on unified interfaces and development specifications, modular development is used to implement various system functions to ensure that subsequent extended functions can be accessed and used in the form of new modules; using an open integration framework to achieve extended access to component-based functions and achieve plug-and-play.

[0061] The present invention discloses an AR-based wellsite monitoring system, which obtains the internal environment information of the wellsite in real time through the environment acquisition module, determines the equipment data information through the information supercomputing module, and provides early warning prompts for the working status of the wellsite; uses the AR equipment module to obtain user instructions, combines the early warning prompt information and the internal environment information of the wellsite, and displays the wellsite operation progress and operation process prompts to the user; based on 5G networking technology, the communication between the environment acquisition module and the information supercomputing module, and between the information supercomputing module and the AR equipment module is realized. The AR-based wellsite monitoring system disclosed by the present invention can realize the real-time automatic collection of wellsite equipment data throughout the day, ensure the accurate grasp of the production status of the oil well, and greatly shorten the time for fault discovery. The AR-based wellsite monitoring system can use the preset maintenance procedures and adopt augmented reality technology to show the maintenance process to the user and prompt the operation link process. While improving efficiency, it reduces the labor intensity and safety risks of employees.

[0062] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by any person familiar with the technology within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

[0063] In the description of the present invention, unless otherwise specified, "plurality" means two or more than two; the orientations or positional relationships indicated by the terms "upper", "lower", "left", "right", "inner", "outer", "front end", "rear end", "head", "tail", etc. are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", "third", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0064] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "connected" and "connection" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0065] It should be understood that the embodiments disclosed in the present invention are not limited to the specific structures, processing steps or materials disclosed herein, but should be extended to equivalent substitutions of these features understood by ordinary technicians in the relevant field. It should also be understood that the terms used herein are only used for the purpose of describing specific embodiments and are not meant to be limiting.

[0066] The "one embodiment" or "embodiment" mentioned in the specification means that the specific features, structures or characteristics described in conjunction with the embodiment are included in at least one embodiment of the present invention. Therefore, the phrases "one embodiment" or "embodiment" appearing in various places throughout the specification do not necessarily refer to the same embodiment.

[0067] Although the embodiments disclosed in the present invention are as above, the contents described are only embodiments adopted for facilitating the understanding of the present invention and are not intended to limit the present invention. Any technician in the technical field to which the present invention belongs can make any modifications and changes in the form and details of the implementation without departing from the spirit and scope disclosed in the present invention, but the patent protection scope of the present invention shall still be subject to the scope defined in the attached claims.

Claims

1. A well site monitoring system based on AR, characterized in that: include: An environment acquisition module, which is used to obtain the internal environment information of the well site; An information supercomputing module, which is used to determine equipment data information according to the internal environment information of the well site, and to provide early warning prompts for the working status of the well site based on the equipment data information; The AR device module is used to obtain the well site operation progress and prompt operation process based on user instructions, combined with the early warning prompt information and the internal environment information of the well site; A data transmission module is used to realize communication between the environment acquisition module and the information supercomputing module, and between the information supercomputing module and the AR device module based on 5G networking technology.

2. The well site monitoring system according to claim 1, characterized in that: The environment acquisition module includes: Wellsite sensor equipment, which is used to collect real-time operating data information of each wellsite equipment, including but not limited to: diesel generator sets, top drives, drilling pumps, winches, turntables and well control equipment; Downhole logging instruments, which are used to collect engineering parameters, gas logging data, mud data and related data information about various drilling operations in real time; Image acquisition equipment is used to collect images of the working status of multi-node equipment in various drilling operations in the well site in real time, wherein the drilling operation includes: well control throttling operation, and the image information collected by the well control throttling operation includes but is not limited to: mechanical instruments, dials and switch quantities of the manifold and the vertical pressure gauge, casing pressure gauge, valve position opening gauge, oil pressure gauge, air pressure gauge, three-position four-way reversing valve and speed regulating valve on the hydraulic control box panel.

3. The well site monitoring system according to claim 2, characterized in that: The operating data information of the diesel generator set, top drive, drilling pump, drawworks, turntable and well control equipment includes: According to the diesel generator model, obtain diesel engine speed, coolant temperature, boost pressure, exhaust temperature, generator voltage, current, active power, frequency and related parameter information; According to the top drive model, obtain the speed, torque, motor voltage, motor current, lubricating oil temperature, lubricating oil pressure and related parameter information; Obtain drilling pump current, voltage, fan feedback, lubricating oil pressure feedback, pump stroke, pump pressure and related parameter information; Obtain winch current, voltage, fan feedback, lubricating oil pressure feedback, bearing temperature, drum temperature and related parameter information; Obtain the current, voltage, fan feedback, lubricating oil pressure feedback and related parameter information of the turntable; Obtain the accumulator pressure, manifold pressure, annular pressure, gas source pressure, annular, upper half-closed, fully closed, lower half-closed, spare, bypass, shear, blowout position and related parameter information of the well control equipment.

4. The well site monitoring system according to any one of claims 1 to 3, characterized in that: The information supercomputing module is also used to identify the image data collected by the image acquisition equipment into dynamic parameter values ​​and switch quantity data through the well site supercomputing center using an intelligent algorithm.

5. The well site monitoring system according to any one of claims 1 to 4, characterized in that: The information supercomputing module is also used to extract abnormal data from the internal environmental information of the well site, and diagnose the operation of each equipment in the well site based on the abnormal data using the equipment fault diagnosis algorithm, so as to push early warning prompt information to the AR equipment module in real time based on the diagnosis results.

6. The well site monitoring system according to claim 5, characterized in that: The abnormal data includes: Abnormal temperature and pressure of diesel generator sets; Abnormal temperature and pressure of top drive; The drilling pump pulley anti-slip abnormality, inlet pressure abnormality, lubricating oil pressure abnormality, wind pressure abnormality, and spray pump abnormality; Winch collision, abnormal disc brake working clamp pressure, abnormal wind pressure; The wind pressure and lubricating oil pressure of the turntable are abnormal; Among them, the information supercomputing module is also used to automatically extract fault characteristics from the real-time operating parameters of each device based on the internal environmental information of the well site, combined with expert experience and historical data related to equipment failures, and perform correlation analysis on the real-time operating parameters of each device and the fault characteristic parameters, determine the main controlling factors of different fault causes, automatically extract, analyze and judge the fault characteristics, and realize intelligent diagnosis and early warning for different fault causes. The equipment failure types include but are not limited to: top drive motor failure, winch motor failure, mud pump motor failure, mud pump hydraulic end failure, mud pump power end and cooling and lubrication system failure.

7. The well site monitoring system according to claim 5 or 6, characterized in that: The information supercomputing module is also used to identify the working condition based on the internal environmental information of the well site and several abnormal data, conduct operation data change analysis in combination with the response characteristics corresponding to various types of complex downhole faults and the monitoring characteristic parameters of various equipment, calculate the risk level of complex downhole faults occurring in the current well site, and thus determine the corresponding alarm prompts. The monitoring characteristic parameters include but are not limited to: monitoring parameters, monitoring time, abnormal duration, threshold setting interval, amplitude oscillation number and fluctuation range. The types of complex downhole faults include but are not limited to: well leakage, overflow, well collapse and stuck drill.

8. The well site monitoring system according to any one of claims 1 to 7, characterized in that: The information supercomputing module is also used to automatically extract complex prompts of neighboring wells in the well design plan and search for complex case information of similar formations in surrounding neighboring wells based on the well number, wellhead coordinates, drilling depth and formation information of the current well, so as to provide relevant risk warnings and risk response processing operation references for the current well.

9. The well site monitoring system according to any one of claims 1 to 8, characterized in that: The AR device module is also used to obtain the internal environment information of the well site, the operating data information of each equipment and the early warning prompt information, and receive user voice commands, so as to use the preset current maintenance procedures and adopt augmented reality technology to show the maintenance process to the user and prompt the operation process.

10. The well site monitoring system according to any one of claims 1 to 9, characterized in that: The data transmission module comprises: Adopt 5G networking with independent private network, which is independently built by the well site, including wireless, bearer and core networks; The downhole equipment communicates with the well site base station through the CPE, and the internal environment information of the well site is transmitted to the information supercomputing module based on the well site base station; The AR equipment module obtains the internal environment information of the well site, the operation data information of each equipment and the early warning prompt information based on the 5G networking base station.

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