Intelligent pipeline detection device, management method, system and medium

Abstract

The invention provides an intelligent pipeline monitoring and detecting device, a management method, a system and a medium. The management method comprises the steps that the intelligent pipeline monitoring and detecting device is arranged along a target monitoring pipeline; acquiring feature data of the target monitoring pipeline based on the intelligent pipeline monitoring device; analyzing the characteristic data, and transmitting an analysis result to the established digital intelligent oil field platform; and making a decision by the established digital intelligent oil field platform. The intelligent pipeline monitoring and detecting device is arranged along the buried steel pipeline in a segmented mode, and a plurality of probes in the intelligent pipeline monitoring and detecting device are used for obtaining nearby moving thermal imaging, protection potential data, pipeline corrosion data, nearby soil corrosion rate, pipeline vibration data and produced water or crude oil conditions below the buried steel pipeline. Data integration is achieved, the collected data are transmitted to an established digital intelligent oil field platform, finally intelligent management is achieved through data interaction, labor time is saved, and meanwhile the full-mileage state of the whole life cycle of the pipeline is accurately mastered.

Description

Technical Field

[0001] The present invention belongs to the field of smart pipelines in oil fields, and specifically relates to smart pipeline monitoring and detection devices, management methods, systems and media. Background Art

[0002] Leakage monitoring is the main method for oil pipelines within the oil field, and microwave leakage monitoring and other methods are usually used. It mainly monitors third-party mechanical damage, drilling and oil theft, etc. based on pressure changes. There are no auxiliary facilities along the line, and the monitoring system is set up in the station. In recent years, for the monitoring of small leaks such as corrosion perforation, the main research and development has been carried out to improve the sensitivity of microwave leakage, and technologies such as oil-sensing cables have emerged. However, corrosion leakage of oil and gas field pipelines usually leaks produced water and condensate water first, and is distributed within the range of 5 and 7 points. Especially in oil fields, by the time crude oil is sensed, the leak has occurred for a long time. For high-consequence areas or environmentally sensitive areas such as river crossings, video surveillance systems based on high-definition cameras have been gradually installed since 2021, mainly for post-event warnings.

[0003] Internal corrosion of pipelines is usually detected through oil and gas field corrosion monitoring systems, with auxiliary facilities mainly including monitoring probes, hanging pieces, ultrasonic online thickness measurement facilities, etc. Such facilities are mainly installed on bypasses, short connections or elbows in the station. On the one hand, they mainly react to the corrosion rate of the medium, and on the other hand, they mainly monitor the thinning of the elbow wall thickness in a small number of process units in the station. However, they cannot accurately respond to the corrosion of the gathering and transportation pipelines outside the station. Although pipelines with cathodic protection are designed with corrosion detection test pieces, the data cannot be tracked, and their effectiveness is almost zero.

[0004] Therefore, the existing monitoring and detection system data is insufficiently applied, and most of the data is relatively scattered and independent. From the storage, analysis and use of data to the integrity requirements, it is far from the goal of smart pipeline construction. At present, there are many related platforms under construction, such as oil and gas field corrosion monitoring platform, oil field intelligent cathodic protection system platform, company-level integrity management platform, pipeline failure management platform, intelligent cathodic protection platform, etc., most of which operate independently. Most of the data must be entered manually, or only a small amount of basic data can be collected. It is still far from a real smart pipeline database, and the overall efficiency and role of data use are not obvious. Summary of the invention

[0005] The purpose of the present invention is to provide a smart pipeline monitoring and detection device, management method, system and medium to overcome the above-mentioned technical defects.

[0006] In order to solve the above technical problems, the present invention provides a smart pipeline monitoring and detection management method, including:

[0007] Deploy smart pipeline monitoring and detection devices along the target monitoring pipeline;

[0008] Acquire characteristic data of target monitoring pipeline based on intelligent pipeline monitoring and detection device;

[0009] Analyze feature data and transmit analysis results to the established digital oilfield platform;

[0010] A digital oilfield platform has been built to make decisions.

[0011] Smart pipeline monitoring and detection device includes:

[0012] The first probe captures the moving thermal image near the target monitoring pipeline and issues an alarm;

[0013] The second probe monitors the cathodic protection potential of the target monitoring pipeline and records the remaining life of the second probe, while realizing fault self-monitoring;

[0014] The third probe monitors the remaining wall thickness of the target monitoring pipeline;

[0015] The fourth probe monitors the position change of the target monitoring pipeline to obtain vibration data;

[0016] The fifth probe collects the soil corrosion rate around the target monitoring pipeline and records the remaining life of the fifth probe;

[0017] The sixth probe regularly monitors soil displacement data below the buried depth of the target monitoring pipeline;

[0018] The micro-leakage monitoring optical cable is laid directly below the target monitoring pipeline and is used to monitor in real time whether there is produced water or crude oil directly below the target monitoring pipeline.

[0019] Characteristic data refers to the data collected by all probes and micro-leakage monitoring optical cables in the intelligent pipeline monitoring and detection device.

[0020] Analyze feature data and transmit analysis results to the established digital oilfield platform, which then makes decisions, including:

[0021] Identify the mobile thermal image captured by the first probe. If the mobile thermal image is evacuated within t minutes, the alarm signal will be automatically fed back to eliminate the alarm, but the recorded information will be retained; if the mobile thermal image is not evacuated for more than t minutes, the alarm will continue to be issued and reported to the established digital oilfield platform;

[0022] Determine whether the cathodic protection potential of the target monitoring pipeline exceeds the range of -0.85 to -1.15V. If so, report it to the established digital oilfield platform. Determine whether the second probe needs to be replaced or repaired based on its remaining life and fault self-monitoring data, and report it to the established digital oilfield platform.

[0023] Record the remaining wall thickness of the target monitoring pipeline collected by the third probe at different times, and calculate the wall thickness thinning rate of the target monitoring pipeline. If the wall thickness thinning rate is greater than the warning value, report it to the established digital oilfield platform to initiate protective intervention measures for the target monitoring pipeline; if the remaining wall thickness is less than the warning value, report it to the established digital oilfield platform to reinforce, repair or replace the target monitoring pipeline;

[0024] Record the position coordinates of the target monitoring pipeline collected by the fourth probe at different times, and obtain the vibration data of the target monitoring pipeline according to the position coordinates. If the vibration data exceeds the warning value, report it to the established digital oilfield platform and issue an alarm;

[0025] Determine the soil corrosion rate data around the target monitoring pipeline collected by the fifth probe. If the soil corrosion rate exceeds the warning value, report it to the established digital oilfield platform and issue an alarm. Determine the remaining life of the fifth probe. If it is detected that the fifth probe is exhausted, report it to the established digital oilfield platform, issue an alarm and prompt to add a probe.

[0026] Based on the soil displacement data below the buried depth of the target monitoring pipeline collected by the sixth probe, determine whether there is soil subsidence or geological disaster at the location of the target monitoring pipeline, and report the judgment result to the established digital oilfield platform;

[0027] Based on the micro-leakage monitoring optical cable monitoring, whether there is produced water and crude oil components directly below the target monitoring pipeline. If the sensing length of the micro-leakage monitoring optical cable of produced water and crude oil components exceeds the threshold, it will be reported to the established digital oilfield platform and an alarm will be issued.

[0028] The present invention also provides a smart pipeline monitoring and detection system, which is applicable to the smart pipeline monitoring and detection management method, including a smart pipeline monitoring and detection device, a data processing unit and a data control unit, wherein:

[0029] Smart pipeline monitoring and detection device, used to obtain characteristic data of the target monitoring pipeline;

[0030] The data processing unit is used to analyze characteristic data and transmit the analysis results to the established digital oilfield platform through the data management and control unit.

[0031] The data processing unit includes:

[0032] The first module is used to identify the mobile thermal image captured by the first probe. If the mobile thermal image is evacuated within t minutes, the alarm signal will be automatically fed back to eliminate the alarm, but the recorded information will be retained; if the mobile thermal image is not evacuated for more than t minutes, the alarm will continue to be issued and reported to the established digital oilfield platform;

[0033] The second module is used to determine whether the cathodic protection potential of the target monitoring pipeline exceeds the range of -0.85 to -1.15V. If it exceeds, it will be reported to the established digital oilfield platform. According to the remaining life of the second probe and the fault self-monitoring data, it is determined whether it needs to be replaced or repaired and reported to the established digital oilfield platform.

[0034] The third module is used to record the remaining wall thickness of the target monitoring pipeline collected by the third probe at different times, calculate the wall thickness thinning rate of the target monitoring pipeline, and report to the established digital intelligent oilfield platform if the wall thickness thinning rate is greater than the warning value; if the remaining wall thickness is less than the warning value, report to the established digital intelligent oilfield platform;

[0035] The fourth module is used to record the position coordinates of the target monitoring pipeline collected by the fourth probe at different times, obtain the vibration data of the target monitoring pipeline according to the position coordinates, and report to the established digital oilfield platform if the vibration data exceeds the warning value;

[0036] The fifth module is used to determine the soil corrosion rate data around the target monitoring pipeline collected by the fifth probe. If the soil corrosion rate exceeds the warning value, it will be reported to the established digital oilfield platform and an alarm will be issued; determine the remaining life of the fifth probe. If it is detected that the fifth probe is exhausted, it will be reported to the established digital oilfield platform;

[0037] The sixth module is used to determine whether there is soil subsidence or geological disaster at the location of the target monitoring pipeline based on the soil displacement data below the buried depth of the target monitoring pipeline collected by the sixth probe, and report the judgment result to the established digital oilfield platform;

[0038] The seventh module is used to monitor whether there is produced water and crude oil components directly below the target monitoring pipeline based on the micro-leakage monitoring optical cable. If the sensing length of the micro-leakage monitoring optical cable of produced water and crude oil components exceeds the threshold, it will be reported to the established digital oilfield platform.

[0039] The present invention also provides a smart pipeline monitoring and detection device, comprising:

[0040] The first probe is installed above the target monitoring pipeline and is used to capture the moving thermal image near the target monitoring pipeline and issue an alarm;

[0041] The second probe is a cathodic protection polarization probe with a cable, which is used to detect the cathodic protection potential of the target monitoring pipeline and record the remaining life of the second probe, while realizing fault self-monitoring;

[0042] A third probe is installed around the target monitoring pipeline and is used to monitor the remaining wall thickness of the target monitoring pipeline;

[0043] A fourth probe contacts the target monitoring pipeline and is used to monitor the position change of the target monitoring pipeline to obtain vibration data;

[0044] The fifth probe is buried in the soil around the target monitoring pipeline, and is used to collect the soil corrosion rate around the target monitoring pipeline and record the remaining life of the fifth probe;

[0045] The sixth probe is buried below the burial depth of the target monitoring pipeline and is used to regularly monitor soil displacement data below the burial depth of the target monitoring pipeline;

[0046] The micro-leakage monitoring optical cable is laid directly below the target monitoring pipeline and is used to monitor in real time whether there is produced water or crude oil directly below the target monitoring pipeline.

[0047] The present invention also provides a computer-readable storage medium, which stores computer instructions. When a computer reads the computer instructions in the storage medium, the computer executes the intelligent pipeline monitoring and detection management method.

[0048] The beneficial effects of the present invention are as follows:

[0049] Smart pipeline monitoring and detection devices are set up in sections along the buried steel pipeline. Through the multiple probes in the smart pipeline monitoring and detection devices, nearby mobile thermal imaging, protection potential data, pipeline corrosion data, nearby soil corrosion rate, pipeline vibration data and the presence of produced water or crude oil under the pipeline are obtained to achieve data integration. The collected data is transmitted to the established digital oilfield platform, such as oil and gas field corrosion monitoring platform, oilfield intelligent cathodic protection system platform, company-level integrity management platform, pipeline failure management platform, etc. Ultimately, intelligent management is realized through data interaction, which saves man-hours and accurately grasps the full mileage status of the pipeline throughout its life cycle. DETAILED DESCRIPTION

[0050] The following describes the implementation of the present invention through specific embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification.

[0051] The present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

[0052] Unless otherwise specified, the terms (including technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it is understood that the terms defined in commonly used dictionaries should be understood to have the same meanings as those in the context of the relevant fields, and should not be understood as idealized or overly formal meanings.

[0053] The established digital oilfield platform mentioned below refers to the existing data processing system of the oilfield, including but not limited to the smart pipeline cluster control system, station control system, A5 system (data management system), pipeline failure platform, and intelligent cathodic protection platform.

[0054] This embodiment relates to a smart pipeline monitoring and detection management method, including:

[0055] Step 100: deploy smart pipeline monitoring devices along the target monitoring pipeline.

[0056] The target monitoring pipeline refers to the buried steel pipeline.

[0057] Multiple smart pipeline monitoring and detection devices are set up in sections along the target monitoring pipeline. Based on the smart pipeline monitoring and detection devices, the characteristic data of the target monitoring pipeline can be obtained. The characteristic data here refers to the data collected by all probes and micro-leakage monitoring optical cables in the smart pipeline monitoring and detection devices, specifically referring to the nearby mobile thermal imaging of the target monitoring pipeline, protection potential data, pipeline corrosion data, nearby soil corrosion rate, pipeline vibration data and the presence of produced water or crude oil under the pipeline.

[0058] Smart pipeline monitoring and detection device M includes:

[0059] The first probe M1 captures the moving thermal image near the target monitoring pipeline and issues an alarm.

[0060] It should be noted that the first probe can be a thermal imager with an alarm function, and it also has the function of capturing thermal images and moving objects within a range of not less than 20m. The captured moving thermal images can provide upper and lower level sound and light signal feedback and alarms.

[0061] The second probe M2 detects the cathodic protection potential of the target monitoring pipeline and records the remaining life of the second probe, while realizing fault self-monitoring.

[0062] The second probe here can be a cathodic protection polarization probe with a cable. The cathodic protection potential of the target monitoring pipeline can be detected by the cathodic protection polarization probe. The self-corrosion, self-consumption or failure data of the polarization probe can be obtained through the cathodic protection potential of the target monitoring pipeline.

[0063] The third probe M3 monitors the remaining wall thickness of the target monitoring pipeline.

[0064] It should be noted that the third probe is mounted in a ring shape on the target monitoring pipeline, and can monitor the remaining wall thickness of the target monitoring pipeline at 5, 6 and 7 o'clock in real time. The corrosion condition of the target monitoring pipeline can also be known based on the remaining wall thickness.

[0065] The fourth probe M4 monitors the position change of the target monitoring pipeline to obtain vibration data.

[0066] A point is determined on the wall of the target monitoring pipeline and the fourth probe is set at this point. For example, if this point is located at the top of the target monitoring pipeline, the fourth probe can monitor the position change of the top of the target monitoring pipeline in real time, and then know the position change of the target monitoring pipeline, and obtain vibration data according to the position change.

[0067] It should be noted here that the installation position of the fourth probe is not limited to the top of the pipeline, but can also be other positions.

[0068] The fifth probe M5 collects the soil corrosion rate around the target monitoring pipeline and records the remaining life of the fifth probe.

[0069] That is to say, the fifth probe can not only monitor the soil corrosion rate near the target monitoring pipeline in real time, but also has the function of early warning of the remaining life of the probe, that is, it is a two-in-one collection probe that can collect soil corrosion rate data and probe remaining life data.

[0070] The sixth probe M6 regularly monitors the soil displacement data below the buried depth of the target monitoring pipeline.

[0071] Specifically, the sixth probe is a soil subsidence and geological disaster monitoring probe, which can regularly monitor the soil displacement of the target monitoring pipeline with a left and right interval of 5m and a burial depth of less than 1.5m, and the probe itself can be reused for a long time.

[0072] The micro-leakage monitoring optical cable M7 is laid directly below the target monitoring pipeline and is used to monitor in real time whether there is produced water or crude oil directly below the target monitoring pipeline.

[0073] It is worth mentioning that the micro-leakage monitoring optical cable is sensitive to specific components in crude oil condensate water, so it can monitor in real time whether there is produced water and crude oil directly below the target monitoring pipeline.

[0074] Step 200: Based on the intelligent pipeline monitoring device, characteristic data of the target monitoring pipeline can be obtained, that is, the data collected by the above-mentioned probes and micro-leakage monitoring optical cables.

[0075] Step 300: Analyze the characteristic data and transmit the analysis results to the established digital intelligent oilfield platform. The established digital intelligent oilfield platform makes a decision. The following numbers 301-307 do not represent the order, but are only data numbers made for the purpose of clearly explaining the embodiment, specifically including:

[0076] 301, identify the mobile thermal image captured by the first probe. If the mobile thermal image is evacuated within t minutes, the alarm signal will be automatically fed back to eliminate it, but the recorded information will be retained; if the mobile thermal image is not evacuated for more than t minutes, the alarm will continue to be issued and reported to the established digital oilfield platform.

[0077] For example, if t takes the value of 1, that is, if the mobile thermal imaging (people, animals, etc.) evacuates within 1 minute, the alarm signal will be eliminated, but the recorded information will be retained; if the mobile thermal imaging (people, animals, etc.) does not evacuate for more than 1 minute, a continuous alarm reminder signal will be fed back to the first probe and reported to the established digital oilfield platform. The established digital oilfield platform will make a decision: remind technical personnel to continue to pay attention and decide whether to conduct on-site security maintenance based on the video surveillance information.

[0078] There is no restriction on the value of t, and it can be any value.

[0079] 302, determine whether the cathodic protection potential of the target monitoring pipeline exceeds the range of -0.85 to -1.15V. If it exceeds, report it to the established digital intelligent oilfield platform; based on the remaining life of the second probe and the fault self-monitoring data, determine whether it needs to be replaced or repaired and report it to the established digital intelligent oilfield platform.

[0080] When the second probe is a cathodic protection polarization probe with a cable, the cable transmits the cathodic protection potential signal of the target monitoring pipeline, and obtains the self-corrosion, self-consumption or failure data of the polarization probe based on it. For example, when the polarization probe fails or needs to be replaced, the built digital oilfield platform makes a decision: reminding the management personnel to handle it.

[0081] 303, record the remaining wall thickness of the target monitoring pipeline collected by the third probe at different times, calculate the wall thickness thinning rate of the target monitoring pipeline, and if the wall thickness thinning rate is greater than the warning value, report it to the established digital oilfield platform to initiate protective intervention measures for the target monitoring pipeline; if the remaining wall thickness is less than the warning value, report it to the established digital oilfield platform to reinforce, repair or replace the target monitoring pipeline.

[0082] If the wall thickness thinning rate is greater than the warning value, it will be reported to the established digital oilfield platform to initiate protective intervention measures for the target monitoring pipeline. The established digital oilfield platform will make a decision: initiate intelligent corrosion control measure one, i.e., add corrosion inhibitors into the target monitoring pipeline and focus on data changes there, or use internal anti-corrosion technologies such as polyethylene lining to improve the pipeline's corrosion resistance.

[0083] If the remaining wall thickness is less than the warning value, it will be reported to the established digital oilfield platform, which will make a decision: start the second intelligent corrosion control measure, that is, use direct detection methods such as electromagnetic ultrasonic waves to verify after excavation. After the data is correct, local glass fiber winding reinforcement repair, epoxy sleeve reinforcement repair, or direct pipe replacement will be adopted.

[0084] Regarding the setting of warning values, it can be defined according to the material of the target monitoring pipeline, soil environment, etc.

[0085] 304, record the position coordinates of the target monitoring pipeline collected by the fourth probe at different times, obtain the vibration data of the target monitoring pipeline according to the position coordinates, and if the vibration data exceeds the warning value, report it to the established digital oilfield platform and issue an alarm.

[0086] 305, determine the soil corrosion rate data around the target monitoring pipeline collected by the fifth probe. If the soil corrosion rate exceeds the warning value, report it to the established digital intelligent oilfield platform. The established digital intelligent oilfield platform makes a decision: issue an alarm and conduct manual on-site survey.

[0087] Determine the remaining life of the fifth probe. If it is monitored that the fifth probe is exhausted, it will be reported to the established digital oilfield platform. The established digital oilfield platform will make a decision: sound an alarm to prompt the staff to replenish the probe.

[0088] 306. Based on the soil displacement data below the buried depth of the target monitoring pipeline collected by the sixth probe, determine whether there is soil subsidence or geological disasters at the location of the target monitoring pipeline, and report the judgment results to the established digital oilfield platform. The established digital oilfield platform makes a decision: Based on the monitoring data, it is divided into three warning ranges: continuous attention, key attention, and immediate measures, to actively respond to the impact of geological disasters on the pipeline.

[0089] The specific soil displacement data of the above three warning ranges can be divided and defined according to local geological conditions.

[0090] 307, based on the micro-leakage monitoring optical cable monitoring target monitoring pipeline, whether there is produced water and crude oil components directly below. If the sensing length of the micro-leakage monitoring optical cable of produced water and crude oil components exceeds the threshold, it will be reported to the established digital oilfield platform and an alarm will be issued.

[0091] This embodiment also provides a smart pipeline monitoring and detection system, which is applicable to the smart pipeline monitoring and detection management method. The smart pipeline monitoring and detection system includes a smart pipeline monitoring and detection device, a data processing unit and a data control unit, wherein:

[0092] Smart pipeline monitoring and detection device, used to obtain characteristic data of the target monitoring pipeline;

[0093] The data processing unit is used to analyze the characteristic data and transmit the analysis results to the established digital oilfield platform through the data control unit. Specifically, the data processing unit includes:

[0094] The first module a1 is used to identify the mobile thermal imaging captured by the first probe. If the mobile thermal imaging is evacuated within t minutes, the alarm signal will be automatically fed back to eliminate it, but the recorded information will be retained. If the mobile thermal imaging is not evacuated for more than t minutes, the alarm will continue to be issued and reported to the established digital oilfield platform.

[0095] The second module a2 is used to determine whether the cathodic protection potential of the target monitoring pipeline exceeds the range of -0.85 to -1.15V. If it exceeds the range, it will be reported to the established digital oilfield platform. According to the remaining life of the second probe and the fault self-monitoring data, it is determined whether it needs to be replaced or repaired and reported to the established digital oilfield platform.

[0096] It should be noted here that when the cathodic protection potential exceeds the range of -0.85 to -1.15 V, the built digital oilfield platform can start the self-diagnosis control or manual diagnosis control of the second module a2.

[0097] The third module a3 is used to record the remaining wall thickness of the target monitoring pipeline collected by the third probe at different times, and calculate the wall thickness thinning rate of the target monitoring pipeline. If the wall thickness thinning rate is greater than the warning value, it is reported to the established digital oilfield platform; if the remaining wall thickness is less than the warning value, it is reported to the established digital oilfield platform.

[0098] The fourth module a4 is used to record the position coordinates of the target monitoring pipeline collected by the fourth probe at different times, and obtain the vibration data of the target monitoring pipeline according to the position coordinates. If the vibration data exceeds the warning value, it is reported to the established digital oilfield platform.

[0099] The fifth module a5 is used to determine the soil corrosion rate data around the target monitoring pipeline collected by the fifth probe. If the soil corrosion rate exceeds the warning value, it is reported to the established digital oilfield platform and an alarm is issued; the remaining life of the fifth probe is determined. If it is detected that the fifth probe is exhausted, it is reported to the established digital oilfield platform.

[0100] The sixth module a6 is used to determine whether there is soil subsidence or geological disaster at the location of the target monitoring pipeline based on the soil displacement data below the buried depth of the target monitoring pipeline collected by the sixth probe, and report the judgment result to the established digital oilfield platform.

[0101] The seventh module a7 is used to monitor whether there is produced water and crude oil components directly below the target monitoring pipeline based on the micro-leakage monitoring optical cable. If the sensing length of the micro-leakage monitoring optical cable of produced water and crude oil components exceeds the threshold, it will be reported to the established digital oilfield platform.

[0102] It should be noted that the third module a3 monitors the remaining wall thickness of the target monitoring pipeline in the directions of 5, 6 and 7 in real time, and forms the three-dimensional coordinate data of the pipeline; and the fourth module a4 can obtain the position change of the target monitoring pipeline through the fourth probe, and then obtain the three-dimensional coordinate data of the target monitoring pipeline; the weld position of the target monitoring pipeline is known. The combination of the real-time position three-dimensional coordinates, the pipeline three-dimensional coordinate data, and the weld position can form a three-dimensional data model of the target monitoring pipeline, which can provide calibration and data interface for the positioning of detectors, pipe cleaners, etc. in the target monitoring pipeline.

[0103] The function of the data control unit is to realize data interaction, that is, to receive data from the data processing unit and transmit it to the established digital oilfield platform. The data control unit specifically includes:

[0104] Module b1 transmits the photos or videos obtained in the first module a1 to the established digital oilfield platform.

[0105] Module b2 transmits the cathodic protection potential data analyzed and processed by module a2 to the established digital oilfield platform.

[0106] When the protection potential exceeds -0.85 to -1.15 V, self-diagnosis control or manual diagnosis control is started.

[0107] When the polarization probe fails or needs to be replaced, remind the management staff to handle it.

[0108] Module b3 transmits the data signal analyzed and processed by the third module a3 to the established digital oilfield platform.

[0109] When the pipeline wall thickness thinning rate is greater than the warning value, the intelligent corrosion control measure 1 is activated; when the remaining wall thickness of the pipeline is less than the warning value, the system alarms and takes treatment measure 2.

[0110] Module b4 transmits the signal analyzed and processed by module a4 to the established digital oilfield platform.

[0111] The top coordinates of the pipeline and the corrosion monitoring coordinates jointly generate three-dimensional data of the real-time position of the pipeline, providing calibration and data interface for the positioning of detectors, pigs, etc. in the pipeline; when the vibration of the pipeline exceeds the warning value, the system alarms.

[0112] Module b5 transmits the data signal analyzed and processed by module a5 to the established digital oilfield platform.

[0113] When the soil corrosion rate exceeds the threshold alarm, manual on-site survey is required; when the monitoring probes are exhausted, the system alarm prompts to replenish the probes.

[0114] Module b6 transmits the data signal analyzed and processed by module a6 to the established digital oilfield platform. According to the monitoring data, it divides the warning range into three areas: continuous attention, key attention, and immediate measures, to actively respond to the impact of geological disasters on pipelines.

[0115] Module b7 transmits the data signal analyzed and processed by module a7 to the established digital oilfield platform. The optical cable is sensitive to specific components in the crude oil condensate water. When the length of the optical cable infected by the specific components exceeds the threshold, an alarm is triggered and the platform is processed immediately.

[0116] This embodiment also provides a smart pipeline monitoring and detection device, including:

[0117] The first probe is installed above the target monitoring pipeline and is used to capture the moving thermal image near the target monitoring pipeline and issue an alarm, specifically a thermal imager with an alarm function;

[0118] The second probe is a cathodic protection polarization probe with a cable, which is used to detect the cathodic protection potential of the target monitoring pipeline and record the remaining life of the second probe, while realizing fault self-monitoring. The probe is specifically a cathodic protection polarization probe with a cable;

[0119] A third probe is installed around the target monitoring pipeline and is used to monitor the remaining wall thickness of the target monitoring pipeline. The probe is specifically a flexible electromagnetic ultrasonic thickness measuring tape;

[0120] A fourth probe, contacting the target monitoring pipeline, is used to monitor the position change of the target monitoring pipeline to obtain vibration data, and the probe is specifically a positioning tracker;

[0121] The fifth probe is buried in the soil around the target monitoring pipeline, and is used to collect the soil corrosion rate around the target monitoring pipeline and record the remaining life of the fifth probe. The probe is specifically a soil corrosion rate tester;

[0122] The sixth probe is buried below the target monitoring pipeline and is used to regularly monitor soil displacement data below the target monitoring pipeline. The probe is specifically a soil subsidence and geological disaster monitoring probe.

[0123] The micro-leakage monitoring optical cable is laid directly below the target monitoring pipeline and is used to monitor in real time whether there is produced water or crude oil directly below the target monitoring pipeline.

[0124] This embodiment also provides a smart pipeline monitoring and detection management device, which includes at least one processor and at least one memory; the at least one memory is used to store computer instructions; and the at least one processor is used to execute at least part of the computer instructions to implement the aforementioned smart pipeline monitoring and detection management method.

[0125] This embodiment also provides a computer-readable storage medium, which stores computer instructions. When the computer reads the computer instructions in the storage medium, the computer executes the aforementioned intelligent pipeline monitoring and management method.

[0126] Those skilled in the art will appreciate that the above-mentioned embodiments are specific examples for implementing the present invention, and in actual applications, various changes may be made thereto in form and detail without departing from the spirit and scope of the present invention.

Claims

1. The intelligent pipeline monitoring and detection management method is characterized by: include: Deploy smart pipeline monitoring and detection devices along the target monitoring pipeline; Acquire characteristic data of the target monitoring pipeline based on the smart pipeline monitoring and detection device; Analyze the characteristic data and transmit the analysis results to the established digital oilfield platform; The above-mentioned digital oilfield platform has been built to make decisions.

2. The smart pipeline monitoring and management method according to claim 1, characterized in that: The smart pipeline monitoring and detection device comprises: A first probe, which captures the moving thermal image near the target monitoring pipeline and issues an alarm; A second probe is used to monitor the cathodic protection potential of the target monitoring pipeline and record the remaining life of the second probe, while realizing fault self-monitoring; A third probe, for monitoring the remaining wall thickness of the target monitoring pipe; A fourth probe, monitoring a position change of the target monitoring pipeline to obtain vibration data; A fifth probe, for collecting soil corrosion rate around the target monitoring pipeline and recording the remaining life of the fifth probe; A sixth probe, which regularly monitors soil displacement data below the buried depth of the target monitoring pipeline; The micro-leakage monitoring optical cable is laid directly below the target monitoring pipeline and is used to monitor in real time whether there is produced water or crude oil directly below the target monitoring pipeline.

3. The smart pipeline monitoring and management method according to claim 2, characterized in that: The characteristic data is the data collected by all probes and micro-leakage monitoring optical cables in the intelligent pipeline monitoring and detection device.

4. The smart pipeline monitoring and management method according to claim 2, characterized in that: Analyze the characteristic data, transmit the analysis results to the established digital intelligent oilfield platform, and the established digital intelligent oilfield platform makes a decision, including: Identify the mobile thermal image captured by the first probe, and if the mobile thermal image is evacuated within t minutes, automatically feedback to eliminate the alarm signal, but retain the recorded information; if the mobile thermal image is not evacuated for more than t minutes, keep issuing an alarm and report it to the established digital oilfield platform; Determine whether the cathodic protection potential of the target monitoring pipeline exceeds the range of -0.85 to -1.15 V, and if so, report it to the established digital intelligent oilfield platform; determine whether replacement or repair is required based on the remaining life and fault self-monitoring data of the second probe and report it to the established digital intelligent oilfield platform; Record the remaining wall thickness of the target monitoring pipeline collected by the third probe at different times, calculate and obtain the wall thickness thinning rate of the target monitoring pipeline, and if the wall thickness thinning rate is greater than the warning value, report it to the established digital intelligent oilfield platform to initiate protective intervention measures for the target monitoring pipeline; if the remaining wall thickness is less than the warning value, report it to the established digital intelligent oilfield platform to reinforce, repair or replace the target monitoring pipeline; Record the position coordinates of the target monitoring pipeline collected by the fourth probe at different times, obtain vibration data of the target monitoring pipeline according to the position coordinates, and if the vibration data exceeds the warning value, report it to the established digital oilfield platform and issue an alarm; Determine the soil corrosion rate data around the target monitoring pipeline collected by the fifth probe, and if the soil corrosion rate exceeds the warning value, report it to the established digital intelligent oilfield platform and issue an alarm; Determine the remaining life of the fifth probe, and if it is monitored that the fifth probe is exhausted, report it to the established digital intelligent oilfield platform, issue an alarm, and prompt to add a probe; According to the soil displacement data below the buried depth of the target monitoring pipeline collected by the sixth probe, it is determined whether there is soil subsidence or geological disaster at the location of the target monitoring pipeline, and the determination result is reported to the established digital oilfield platform; Based on the micro-leakage monitoring optical cable, whether there is produced water and crude oil components directly below the target monitoring pipeline is monitored. If the sensing length of the micro-leakage monitoring optical cable for the presence of produced water and crude oil components exceeds a threshold, it is reported to the established digital oilfield platform and an alarm is issued.

5. A smart pipeline monitoring and detection system, applicable to the smart pipeline monitoring and detection management method according to any one of claims 1 to 4, characterized in that: It includes intelligent pipeline monitoring and detection devices, data processing units and data control units, including: Smart pipeline monitoring and detection device, used to obtain characteristic data of the target monitoring pipeline; The data processing unit is used to analyze the characteristic data and transmit the analysis results to the established digital oilfield platform through the data management and control unit.

6. The intelligent pipeline monitoring and detection system according to claim 5, characterized in that: The data processing unit comprises: The first module is used to identify the mobile thermal image captured by the first probe. If the mobile thermal image is evacuated within t minutes, the alarm signal is automatically fed back to eliminate the alarm signal, but the recorded information is retained; if the mobile thermal image is not evacuated for more than t minutes, the alarm is continuously issued and reported to the established digital oilfield platform; The second module is used to determine whether the cathodic protection potential of the target monitoring pipeline exceeds the range of -0.85 to -1.15V, and if so, report it to the established digital oilfield platform; determine whether replacement or repair is required based on the remaining life and fault self-monitoring data of the second probe and report it to the established digital oilfield platform; The third module is used to record the remaining wall thickness of the target monitoring pipeline collected by the third probe at different times, calculate the wall thickness thinning rate of the target monitoring pipeline, and report to the established digital intelligent oilfield platform if the wall thickness thinning rate is greater than the warning value; if the remaining wall thickness is less than the warning value, report to the established digital intelligent oilfield platform; The fourth module is used to record the position coordinates of the target monitoring pipeline collected by the fourth probe at different times, obtain the vibration data of the target monitoring pipeline according to the position coordinates, and report to the established digital oilfield platform if the vibration data exceeds the warning value; The fifth module is used to determine the soil corrosion rate data around the target monitoring pipeline collected by the fifth probe, and report to the established digital intelligent oilfield platform and issue an alarm if the soil corrosion rate exceeds the warning value; determine the remaining life of the fifth probe, and report to the established digital intelligent oilfield platform if the fifth probe is exhausted; The sixth module is used to determine whether there is soil subsidence or geological disaster at the location of the target monitoring pipeline according to the soil displacement data below the buried depth of the target monitoring pipeline collected by the sixth probe, and report the judgment result to the built digital oilfield platform; The seventh module is used to monitor whether there is produced water and crude oil components directly below the target monitoring pipeline based on the micro-leakage monitoring optical cable. If the sensing length of the micro-leakage monitoring optical cable with produced water and crude oil components exceeds a threshold, it is reported to the established digital oilfield platform.

7. The intelligent pipeline monitoring and detection device is characterized by: include: A first probe, installed above the target monitoring pipeline, for capturing mobile thermal imaging near the target monitoring pipeline and issuing an alarm; A second probe, which is a cathodic protection polarization probe with a cable, is used to detect the cathodic protection potential of the target monitoring pipeline, record the remaining life of the second probe, and realize fault self-monitoring; A third probe is installed around the target monitoring pipeline and is used to monitor the remaining wall thickness of the target monitoring pipeline; a fourth probe, contacting the target monitoring pipeline, and used to monitor the position change of the target monitoring pipeline to obtain vibration data; A fifth probe, buried in the soil around the target monitoring pipeline, for collecting the soil corrosion rate around the target monitoring pipeline and recording the remaining life of the fifth probe; A sixth probe, buried below the burial depth of the target monitoring pipeline, for regularly monitoring soil displacement data below the burial depth of the target monitoring pipeline; The micro-leakage monitoring optical cable is laid directly below the target monitoring pipeline and is used to monitor in real time whether there is produced water or crude oil directly below the target monitoring pipeline.

8. A computer-readable storage medium, characterized in that: The storage medium stores computer instructions. When a computer reads the computer instructions in the storage medium, the computer executes the method according to any one of claims 1 to 4.