A geothermal well operating status intelligent monitoring and fault diagnosis system and method

Abstract

The present invention relates to the field of geothermal well operation fault diagnosis, and specifically to a system and method for intelligent monitoring and fault diagnosis of geothermal well operation status. The method comprises the following steps: obtaining geothermal well distribution data and geothermal well monitoring data in a target area; obtaining geothermal field area and flow coupling values ​​based on the geothermal wells in the target area; constructing an inter-well network model based on the geothermal well distribution data and the geothermal well monitoring data; obtaining time series monitoring data based on the geothermal well monitoring data and a time series window; obtaining an inter-well chain network model and abnormal state nodes based on the time series monitoring data and the inter-well network model; obtaining a single abnormal node and an abnormal diagnosis node group based on the abnormal state node; obtaining temperature coupling values ​​and pressure coupling values ​​based on the abnormal diagnosis node group, and constructing an inter-well coupling matrix; obtaining an inter-well fault matrix based on the inter-well coupling matrix; and analyzing the geothermal wells. The present invention can improve maintenance efficiency.

Description

Technical Field

[0001] The present invention relates to the field of geothermal well operation fault diagnosis, and in particular to a geothermal well operation state intelligent monitoring and fault diagnosis system and method. Background Art

[0002] As the global energy landscape shifts, geothermal energy, a renewable, green, and low-carbon clean energy source, is being widely used in a variety of sectors, including heating, power generation, agricultural greenhouses, and industrial heating. Geothermal development and utilization is experiencing rapid growth. Geothermal wells are critical infrastructure for geothermal energy collection and utilization, and their operational status directly impacts the energy conversion efficiency, operational safety, and economic viability of geothermal systems.

[0003] Chinese patent publication number CN119782982A discloses a geothermal well intelligent fault monitoring system and method based on machine learning, including: obtaining a preprocessed geothermal well operation history data set through sensors and data preprocessing; using a K-means algorithm model and a Transformer algorithm model to construct a geothermal well fault monitoring model, and using the preprocessed geothermal well operation history data set to train the model to obtain a trained geothermal well fault monitoring model; using real-time geothermal well operation data collected by sensors as input to the model, obtaining the operation status mode described in the real-time geothermal well operation data, and the future time-varying curve of the geothermal well operation data under the corresponding operation status mode as a prediction result; matching the prediction result with the time-varying curve based on the abnormal fault control data set, and issuing a fault warning when a matching time-varying curve exists.

[0004] In existing technologies, in geothermal fields with densely distributed wells or in composite mining scenarios, geothermal wells may affect each other during operation. Traditional geothermal well monitoring mainly relies on manual inspections, regular testing, or real-time collection of parameters (such as wellhead pressure and temperature). When the monitoring data of a geothermal well is abnormal, the cause of the abnormality is easy to misjudge, and the real-time fault diagnosis is low, which can easily lead to waste of resources for geothermal well fault inspection and repair, reduce maintenance efficiency, and become a problem that needs to be solved urgently. Summary of the Invention

[0005] The purpose of the present invention is to address the problems existing in the background technology and propose a method for intelligent monitoring and fault diagnosis of geothermal well operation status.

[0006] The technical solution of the present invention is a method for intelligently monitoring the operating status of a geothermal well and diagnosing faults, comprising the following steps:

[0007] S1. Obtain geothermal well distribution data and geothermal well monitoring data in the target area, analyze the geothermal wells in the target area, obtain geothermal field area and flow coupling values, and construct an inter-well network model based on the geothermal well distribution data and geothermal well monitoring data;

[0008] S2. Setting a time series window, obtaining time series monitoring data and time series historical data based on the geothermal well monitoring data and the time series window, and obtaining an inter-well chain network model and abnormal nodes based on the time series historical data, the time series monitoring data, and the inter-well network model;

[0009] S3. Analyze the abnormal nodes to obtain single abnormal nodes and abnormal diagnosis node groups. According to the inter-well chain network model and the abnormal diagnosis node groups, obtain temperature coupling values ​​and pressure coupling values. According to the flow coupling values, temperature coupling values, and pressure coupling values, construct an inter-well coupling matrix.

[0010] S4. Analyze the inter-well coupling matrix to obtain the inter-well fault matrix; obtain diagnostic results based on the time series monitoring data, the inter-well fault matrix, and the single abnormal node, and perform maintenance and management of the geothermal wells in combination with the time series historical data.

[0011] Preferably, the process of obtaining geothermal well distribution data and geothermal well monitoring data in the target area, analyzing the geothermal wells in the target area, obtaining geothermal field area and flow coupling values, and constructing an inter-well network model based on the geothermal well distribution data and geothermal well monitoring data includes:

[0012] Geothermal well distribution data includes the distance between wells and wellhead coordinates; geothermal well monitoring data includes historical well monitoring data and real-time well monitoring data; historical well monitoring data includes historical wellhead temperature, historical wellhead pressure, and historical monitoring time; real-time well monitoring data includes real-time wellhead temperature, real-time wellhead pressure, and real-time monitoring time;

[0013] Conduct response tests on all geothermal wells in the target area to obtain fluid impact values; normalize the obtained fluid impact values ​​to obtain flow coupling values;

[0014] The geothermal well locations are constructed using the wellhead coordinates of the geothermal well distribution data. The fluid relationship links between the geothermal well locations are constructed using the fluid connection relationships. Based on the fluid relationship links, wellhead distances, geothermal well locations, and flow coupling values, the inter-well network model of the geothermal field area is obtained.

[0015] Preferably, the process of performing response testing on all geothermal wells within the target area includes:

[0016] Select one geothermal well as an injection well and several geothermal wells as observation wells, inject water into the injection well, and record the bottom hole pressure change value of the observation well; record the area where the observation well and the injection well with the bottom hole pressure change value are located as the geothermal field area; repeat the response test on all geothermal wells in the target area until all geothermal wells in the geothermal field area are classified as the geothermal field area; perform a response test on any two geothermal wells in the geothermal field area, record the injection time, injection flow change value, bottom hole pressure change value and recording time of the injection well, obtain the fluid connection relationship between the observation well with the bottom hole pressure change value and the injection well, and obtain the fluid impact value according to the injection time, injection flow change value, bottom hole pressure change value and recording time of the injection well.

[0017] Preferably, a time series window is set, and time series monitoring data and time series historical data are obtained according to the geothermal well monitoring data and the time series window. The process of obtaining the inter-well chain network model and abnormal nodes according to the time series historical data, the time series monitoring data and the inter-well network model is as follows:

[0018] The time series window is set with time series granularity and fluctuation granularity; the process of the time series window processing the real-time well monitoring data through the time series granularity and fluctuation granularity is as follows: the time series window is horizontally slid on the real-time monitoring time to obtain the time series wellhead temperature, time series wellhead pressure and time series interval; the time series window is vertically slid on the time series wellhead temperature and time series wellhead pressure to obtain the state mark, abnormal temperature value and abnormal pressure value of the time series interval; and the data obtained by processing the real-time well monitoring data is recorded as time series monitoring data; the process of the time series window processing the historical well monitoring data through the time series granularity and fluctuation granularity is the same as above, obtaining the time series historical wellhead temperature, time series historical wellhead pressure and time series historical interval, and recording the obtained data as time series historical data;

[0019] A monitoring node is set; a time series node is obtained according to the time series monitoring data and the monitoring node; the time series node includes a time series temperature node and a time series pressure node; the time series monitoring data and the time series historical data are stored in the time series temperature node and the time series pressure node respectively, and the time series temperature node and the time series pressure node are chained in chronological order through blockchain technology, and the geothermal well site is recorded as a geothermal well node to construct an inter-well chain network model; if the time series node contains a status mark of "abnormal state", the corresponding geothermal well node is recorded as an abnormal state node.

[0020] Preferably, abnormal nodes are analyzed to obtain single abnormal nodes and abnormal diagnosis node groups, and temperature coupling values ​​and pressure coupling values ​​are obtained according to the inter-well chain network model and the abnormal diagnosis node groups. The process of constructing an inter-well coupling matrix according to the flow coupling values, temperature coupling values, and pressure coupling values ​​includes:

[0021] Analyze the abnormal nodes; when all other geothermal well nodes with fluid relationship links to the abnormal node are not abnormal nodes, a single abnormal node is obtained; when there is an abnormal node among other geothermal well nodes with fluid relationship links to the abnormal node, the abnormal node and the other abnormal nodes with fluid relationship links are recorded as an abnormal diagnosis node group;

[0022] Through the inter-well chain network model, all abnormal nodes in the abnormal diagnosis node group are analyzed separately. According to the time-series temperature nodes, time-series wellhead temperatures, time-series pressure nodes, and time-series wellhead pressures, the temperature fluctuation values ​​and pressure fluctuation values ​​are obtained. The fluctuation trends of the temperature fluctuation values ​​and pressure fluctuation values ​​are compared to obtain the temperature coupling value and pressure coupling value. According to the flow coupling value, temperature coupling value, and pressure coupling value between two abnormal nodes, the inter-well coupling matrix is ​​constructed.

[0023] Preferably, the process of comparing the fluctuation trends of the temperature fluctuation value and the pressure fluctuation value includes:

[0024] The temperature fluctuation value and pressure fluctuation value of each abnormal node are arranged in sequence according to the order of the corresponding time series temperature nodes and time series pressure nodes, and the temperature trend factor and pressure trend factor are obtained according to the adjacent temperature fluctuation values ​​and pressure fluctuation values. The temperature trend degree and pressure trend degree are obtained according to the temperature trend factor and pressure trend factor of any two abnormal nodes, and the temperature trend interval and pressure trend interval are obtained according to the minimum time series interval of the temperature trend factor and the pressure trend factor; the temperature coupling value and pressure coupling value between the two abnormal nodes are obtained according to the temperature trend interval, pressure trend interval, temperature trend degree and pressure trend degree of the two abnormal nodes.

[0025] Preferably, the inter-well coupling matrix is ​​analyzed to obtain an inter-well fault matrix; a diagnostic result is obtained based on the time series monitoring data, the inter-well fault matrix, and the single abnormal node; and the maintenance and management of the geothermal well is performed in combination with the time series historical data. The process includes:

[0026] Set coupling diagnosis threshold and fault diagnosis threshold;

[0027] When the abnormal temperature value or abnormal pressure value of the abnormal state node corresponding to the inter-well row or inter-well column of the inter-well coupling matrix is ​​greater than or equal to the fault diagnosis threshold, the fault row or fault column is obtained;

[0028] When the flow coupling value, temperature coupling value, and pressure coupling value in the items corresponding to the fault row or fault column of the inter-well coupling matrix are all less than the coupling diagnosis threshold, the inter-well fault matrix is ​​obtained, and the diagnosis result 1 is obtained; based on all items, flow coupling values, temperature coupling values, and pressure coupling values ​​of the inter-well fault matrix, the item chain and item direction are obtained;

[0029] All abnormal nodes in the inter-well fault matrix are compared with all abnormal nodes in the inter-well coupling matrix to obtain the current abnormal node. When the abnormal temperature value or abnormal pressure value of the current abnormal node or a single abnormal node is greater than or equal to the fault diagnosis threshold, the second diagnosis result is obtained. The first and second diagnosis results, the item link, and the item direction are sent to maintenance personnel to perform maintenance and management of the geothermal well. Using LSTM technology, the time series historical data in the inter-well chain network model is predicted to obtain predicted data, which is sent to maintenance personnel to facilitate further maintenance and management of the geothermal well.

[0030] The present invention also discloses a geothermal well operation status intelligent monitoring and fault diagnosis system, including a management center, which is communicatively connected to a data acquisition module, a data analysis module, a data diagnosis module, and a fault maintenance module:

[0031] The data acquisition module is used to obtain geothermal well distribution data and geothermal well monitoring data in the target area, analyze the geothermal wells in the target area, obtain geothermal field area and flow coupling values, and build an inter-well network model based on the geothermal well distribution data and geothermal well monitoring data;

[0032] The data analysis module is used to set the time series window, obtain the time series monitoring data and time series historical data based on the geothermal well monitoring data and the time series window, and obtain the inter-well chain network model and abnormal nodes based on the time series historical data, time series monitoring data and the inter-well network model;

[0033] The data diagnosis module is used to analyze abnormal nodes, obtain single abnormal nodes and abnormal diagnosis node groups, obtain temperature coupling values ​​and pressure coupling values ​​based on the inter-well chain network model and the abnormal diagnosis node groups, and construct an inter-well coupling matrix based on the flow coupling values, temperature coupling values, and pressure coupling values;

[0034] The fault maintenance module is used to diagnose geothermal well faults based on time series monitoring data, coupled diagnostic values, and single abnormal nodes, obtain diagnostic results, and perform maintenance and management on the geothermal wells.

[0035] Compared with the prior art, the above-mentioned technical solution of the present invention has the following beneficial technical effects: through the geothermal field area and flow coupling value, the influence range between wells is further limited, and the inherent influence of the geothermal well itself is analyzed, thereby improving the accuracy of geothermal well fault diagnosis and analysis; through the inter-well network model, the data between geothermal wells is systematically visualized; through the time series window and time series monitoring data, the real-time and accuracy of geothermal well data monitoring and analysis are improved; through the inter-well chain network model, the security of geothermal well data is improved and the data loss rate is reduced; through single abnormal nodes and abnormal diagnosis node groups, geothermal wells with inherent abnormalities are classified from geothermal wells with influences, thereby improving the accuracy of geothermal well fault diagnosis and analysis; through the temperature coupling value and the pressure coupling value, the coupling influence between geothermal wells is analyzed, and the inter-well coupling matrix helps to visualize the coupling influence between geothermal wells and improve the accuracy of abnormal fault analysis between geothermal wells; through the inter-well fault matrix, maintenance personnel can conduct detailed analysis and tracing of the cause of geothermal well faults; through the diagnosis results, the resource utilization rate of geothermal well fault inspection and repair is improved, and the efficiency of geothermal well maintenance is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 The present invention is a flowchart of an embodiment of the present invention. DETAILED DESCRIPTION

[0037] Example 1, as Figure 1 As shown, the present invention proposes a method for intelligent monitoring and fault diagnosis of geothermal well operation status, comprising the following steps:

[0038] S1. Obtain geothermal well distribution data and geothermal well monitoring data in the target area, analyze the geothermal wells in the target area, obtain geothermal field area and flow coupling values, and construct an inter-well network model based on the geothermal well distribution data and geothermal well monitoring data;

[0039] S2. Setting a time series window, obtaining time series monitoring data and time series historical data based on the geothermal well monitoring data and the time series window, and obtaining an inter-well chain network model and abnormal nodes based on the time series historical data, the time series monitoring data, and the inter-well network model;

[0040] S3. Analyze the abnormal nodes to obtain single abnormal nodes and abnormal diagnosis node groups. According to the inter-well chain network model and the abnormal diagnosis node groups, obtain temperature coupling values ​​and pressure coupling values. According to the flow coupling values, temperature coupling values, and pressure coupling values, construct an inter-well coupling matrix.

[0041] S4. Analyze the inter-well coupling matrix to obtain the inter-well fault matrix; obtain diagnostic results based on the time series monitoring data, the inter-well fault matrix, and the single abnormal node, and perform maintenance and management of the geothermal wells in combination with the time series historical data.

[0042] It should be further explained that, in the specific implementation process, the geothermal well distribution data and geothermal well monitoring data of the target area are obtained, the geothermal wells in the target area are analyzed, the geothermal field area and flow coupling values ​​are obtained, and the well network model is constructed based on the geothermal well distribution data and geothermal well monitoring data. The process is as follows:

[0043] The target area refers to the geothermal field area where geothermal wells need to be monitored and analyzed;

[0044] The geothermal well distribution data refers to the relevant spatial distribution information of geothermal wells, including the distance between wells and the wellhead coordinates;

[0045] The geothermal well monitoring data includes historical well monitoring data and real-time well monitoring data;

[0046] The historical well monitoring data includes historical wellhead temperature, historical wellhead pressure and historical monitoring time; the real-time well monitoring data includes real-time wellhead temperature, real-time wellhead pressure and real-time monitoring time;

[0047] A differential pressure sensor, a flow meter, and a temperature sensor are provided; the differential pressure sensor, flow meter, and temperature sensor are provided inside each geothermal well to obtain real-time well monitoring data;

[0048] It should be further explained that, in the specific implementation process, the historical well monitoring data is obtained through the monitoring records of the differential pressure sensor, flow meter and temperature sensor;

[0049] The geothermal wells in the target area are analyzed, and a response test is performed on all geothermal wells in the target area. The process of the response test is as follows: one geothermal well is selected as a water injection well and several geothermal wells are selected as observation wells, water is injected into the water injection well, and the bottom hole pressure change value of the observation well is recorded; the area where the observation well and the water injection well with the bottom hole pressure change value are located is recorded as the geothermal field area; the response test is repeated for all geothermal wells in the target area until all geothermal wells in the geothermal field area are classified as the geothermal field area; a response test is performed on any two geothermal wells in the geothermal field area, and the injection time, injection flow change value, bottom hole pressure change value and recording time of the water injection well are recorded to obtain the fluid connection relationship between the observation well with the bottom hole pressure change value and the water injection well, and the fluid impact value is obtained according to the injection time, injection flow change value, bottom hole pressure change value and recording time of the water injection well;

[0050] ;

[0051] in, is the fluid impact value between geothermal well i and geothermal well j; is the bottom hole pressure change value of geothermal well j; is the change in injection flow rate of geothermal well i; is the recording time corresponding to the maximum bottom hole pressure change value of geothermal well j; is the injection time of geothermal well i;

[0052] The obtained fluid influence value is normalized to obtain the flow coupling value;

[0053] The geothermal well sites are constructed through the wellhead coordinates of the geothermal well distribution data, and the geothermal well monitoring data are stored in the corresponding geothermal well sites; the fluid relationship links between the geothermal well sites are constructed through the fluid connection relationship, and the corresponding geothermal well sites are linked through the fluid relationship links. The wellhead distances of the geothermal well distribution data are marked between the corresponding geothermal well sites, and the flow coupling values ​​are marked on the corresponding fluid relationship links to obtain the inter-well network model of the geothermal field area.

[0054] It should be further explained that, in the specific implementation process, a time series window is set, and time series monitoring data and time series historical data are obtained based on the geothermal well monitoring data and the time series window. Based on the time series historical data, time series monitoring data and the inter-well network model, the process of obtaining the inter-well chain network model and abnormal nodes is as follows:

[0055] The time series window is provided with a time series granularity and a fluctuation granularity, wherein the time series granularity refers to the length of the time series window, and the fluctuation granularity refers to the width of the time series window; the time series window processes the real-time well monitoring data and the historical well monitoring data through the time series granularity and the fluctuation granularity to obtain the time series wellhead temperature, time series wellhead pressure, time series interval, status mark, time series historical wellhead temperature, time series historical wellhead pressure and time series historical interval of the geothermal well site, and records the time series wellhead temperature, time series wellhead pressure, time series interval, abnormal temperature value, abnormal pressure value and status mark as time series monitoring data; and records the time series historical wellhead temperature, time series historical wellhead pressure and time series historical interval as time series historical data;

[0056] It should be further explained that, in the specific implementation process, the specific process of processing the real-time well monitoring data through the time series granularity and the fluctuation granularity is as follows: sliding horizontally on the real-time monitoring time through the time series window, dividing the real-time wellhead temperature and the real-time wellhead pressure corresponding to the real-time monitoring time through the time series granularity, obtaining the time series wellhead temperature and the time series wellhead pressure, obtaining the time interval corresponding to the time series wellhead temperature or the time series wellhead pressure, and recording it as the time series interval; sliding vertically on the time series wellhead temperature and the time series wellhead pressure through the time series window, when the time series wellhead temperature or the time series wellhead pressure exceeds the time series When the fluctuation granularity of the window exceeds the fluctuation granularity of the time series window, the temperature value or pressure value that exceeds the fluctuation granularity of the time series window is obtained, recorded as the abnormal temperature value and the abnormal pressure value, and the state of the corresponding time series interval is abnormal, then the state of the time series interval is marked as abnormal; when the time series wellhead temperature or time series wellhead pressure does not exceed the fluctuation granularity of the time series window, the state of the corresponding time series interval is normal, then the state of the time series interval is marked as normal; the specific process of processing the historical well monitoring data through the time series granularity and fluctuation granularity and the time series window is the same as above, and the time series historical wellhead temperature, time series historical wellhead pressure and time series historical interval are obtained;

[0057] A monitoring node is set up, wherein the monitoring unit is set up in a geothermal well site, and the geothermal well site includes a plurality of monitoring units; according to the time series monitoring data of the geothermal well site, the time series interval of the time series monitoring data is assigned to the monitoring node to obtain a time series node, and the state mark of the time series interval is marked on the time series node; the time series node includes a time series temperature node and a time series pressure node; the time series wellhead temperature and the time series wellhead pressure are respectively encapsulated into data blocks and stored in the corresponding time series temperature node and time series pressure node, and the time series historical wellhead temperature and time series historical wellhead pressure of the time series historical data are respectively encapsulated into data blocks and stored in the time series temperature node and time series pressure node according to the continuous time series historical interval; through the blockchain technology, the time series temperature node and the time series pressure node are respectively chained in chronological order, the geothermal well site is recorded as a geothermal well node, and a well-to-well chain network model is constructed;

[0058] If the time series node contains the status mark of "abnormal state", the corresponding geothermal well node will be recorded as an abnormal state node.

[0059] It should be further explained that, in the specific implementation process, the abnormal nodes are analyzed to obtain single abnormal nodes and abnormal diagnosis node groups. Based on the inter-well chain network model and the abnormal diagnosis node groups, the temperature coupling value and the pressure coupling value are obtained. Based on the flow coupling value, temperature coupling value and pressure coupling value, the process of constructing the inter-well coupling matrix is ​​as follows:

[0060] Analyze the abnormal nodes; if other geothermal well nodes with fluid relationship links with the abnormal node are not abnormal nodes, the abnormal state of the abnormal node is caused by the abnormality of the corresponding geothermal well itself, and the abnormal node is recorded as a single abnormal node;

[0061] When there is an abnormal node among other geothermal well nodes that have a fluid relationship link with the abnormal node, the abnormal state of the abnormal node may be caused by other abnormal nodes or by the abnormality of the corresponding geothermal well itself. In this case, the abnormal node and other abnormal nodes with which it has a fluid relationship link are recorded as an abnormal diagnosis node group;

[0062] Through the inter-well chain network model, all abnormal nodes in the abnormal diagnosis node group are analyzed respectively, and the differences in the time series wellhead temperature between adjacent time series temperature nodes and the time series wellhead pressure between adjacent time series pressure nodes of the abnormal nodes are obtained respectively, which are recorded as the temperature fluctuation value and the pressure fluctuation value. The fluctuation trends of the temperature fluctuation value and the pressure fluctuation value are compared to obtain the temperature coupling value and the pressure coupling value.

[0063] It should be further explained that, in the specific implementation process, the specific process of comparing the fluctuation trends of the temperature fluctuation values ​​and the pressure fluctuation values ​​is as follows: the temperature fluctuation values ​​and the pressure fluctuation values ​​of each abnormal node are arranged in sequence according to the order of the corresponding time series temperature nodes and time series pressure nodes, and the ratios of adjacent temperature fluctuation values ​​and pressure fluctuation values ​​are calculated to obtain the temperature trend factor and the pressure trend factor. The similarity ratios of the temperature trend factors and the pressure trend factors of any two abnormal nodes are calculated respectively, and the number of temperature trend factors and pressure trend factors with similarity ratios equal to 1 is obtained respectively, and the number of temperature trend factors and pressure trend factors with similarity ratios equal to 1 is compared with the temperature trend factor respectively. and the total number of pressure trend factors to calculate the ratio, obtain the temperature trend degree and the pressure trend degree, and obtain the minimum time series interval of the temperature trend factor and the pressure trend factor, which are recorded as the temperature trend interval and the pressure trend interval; obtain the negative exponent of the temperature trend interval difference of the two abnormal nodes as e and multiply it with the temperature trend degree, and normalize the product calculation result to obtain the temperature coupling value between the two abnormal nodes; obtain the negative exponent of the pressure trend interval difference of the two abnormal nodes as e and multiply it with the pressure trend degree, and normalize the product calculation result to obtain the pressure coupling value between the two abnormal nodes;

[0064] An interwell coupling matrix is ​​constructed based on the flow coupling values, temperature coupling values, and pressure coupling values ​​between two abnormal nodes. The interwell coupling matrix includes interwell rows and interwell columns. The interwell rows and interwell columns refer to each abnormal node. The entries in the interwell coupling matrix store the flow coupling values, temperature coupling values, and pressure coupling values ​​of a certain interwell row to a certain interwell column.

[0065] It should be further explained that in the specific implementation process, the inter-well coupling matrix is ​​analyzed to obtain the inter-well fault matrix; based on the time series monitoring data, the inter-well fault matrix and the single abnormal node, the diagnosis results are obtained, and the maintenance and management of the geothermal well is carried out in combination with the time series historical data. The process is as follows:

[0066] Set coupling diagnosis threshold and fault diagnosis threshold;

[0067] When the abnormal temperature value or abnormal pressure value of the abnormal state node corresponding to the inter-well row or inter-well column of the inter-well coupling matrix is ​​greater than or equal to the fault diagnosis threshold, the corresponding inter-well row or inter-well column is recorded as a fault row or fault column;

[0068] When the flow coupling value, temperature coupling value and pressure coupling value in the corresponding item of the fault row or fault column of the inter-well coupling matrix are all less than the coupling diagnosis threshold, the corresponding item is deleted to obtain the inter-well fault matrix. Then, the geothermal well corresponding to the abnormal node of the inter-well fault matrix has a fault, and there is mutual influence between the wells, and the diagnosis result 1 is obtained. According to all the items of the inter-well fault matrix, according to the flow coupling value, temperature coupling value and pressure coupling value in the item, in order from small to large, the item chain and item direction between the items are constructed, and the influence direction is from large to small; the item chain includes a flow item chain, a temperature item chain and a pressure item chain;

[0069] Compare all abnormal nodes of the inter-well fault matrix with all abnormal nodes of the inter-well coupling matrix. If there is an abnormal node, and the abnormal node exists in the inter-well coupling matrix but does not exist in the inter-well fault matrix, then the abnormal node is recorded as the abnormal node. When the abnormal temperature value or abnormal pressure value of the abnormal node or the single abnormal node is greater than or equal to the fault diagnosis threshold, the geothermal well corresponding to the abnormal node or the single abnormal node is faulty, and the second diagnosis result is obtained. When the abnormal temperature value or abnormal pressure value of the abnormal node or the single abnormal node is less than the fault diagnosis threshold, the geothermal well corresponding to the abnormal node or the single abnormal node is normal and does not need maintenance.

[0070] The first and second diagnostic results, item links, and item directions are sent to maintenance personnel for geothermal well maintenance and management. Using LSTM technology, the time series historical data within the inter-well chain network model is predicted to obtain predicted data, which is then sent to maintenance personnel, facilitating further maintenance and management of geothermal wells.

[0071] In a second embodiment, a geothermal well operating status intelligent monitoring and fault diagnosis system proposed in the present invention is applied to the geothermal well operating status intelligent monitoring and fault diagnosis method described in the first embodiment, and specifically includes a management center, which is communicatively connected to a data acquisition module, a data analysis module, a data diagnosis module, and a fault maintenance module:

[0072] The data acquisition module is used to obtain geothermal well distribution data and geothermal well monitoring data in the target area, analyze the geothermal wells in the target area, obtain geothermal field area and flow coupling values, and build an inter-well network model based on the geothermal well distribution data and geothermal well monitoring data;

[0073] The data analysis module is used to set the time series window, obtain the time series monitoring data and time series historical data based on the geothermal well monitoring data and the time series window, and obtain the inter-well chain network model and abnormal nodes based on the time series historical data, time series monitoring data and the inter-well network model;

[0074] The data diagnosis module is used to analyze abnormal nodes, obtain single abnormal nodes and abnormal diagnosis node groups, obtain temperature coupling values ​​and pressure coupling values ​​based on the inter-well chain network model and the abnormal diagnosis node groups, and construct an inter-well coupling matrix based on the flow coupling values, temperature coupling values, and pressure coupling values;

[0075] The fault maintenance module is used to diagnose geothermal well faults based on time series monitoring data, coupled diagnostic values, and single abnormal nodes, obtain diagnostic results, and perform maintenance and management on the geothermal wells.

[0076] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited thereto. Various changes can be made within the scope of knowledge possessed by those skilled in the art without departing from the spirit of the present invention.

Claims

1. A method for intelligent monitoring and fault diagnosis of geothermal well operation status, characterized in that: The following steps are involved: S1. Obtain geothermal well distribution data and geothermal well monitoring data in the target area, analyze the geothermal wells in the target area, obtain geothermal field area and flow coupling values, and construct an inter-well network model based on the geothermal well distribution data and geothermal well monitoring data; S2. Setting a time series window, obtaining time series monitoring data and time series historical data based on the geothermal well monitoring data and the time series window, and obtaining an inter-well chain network model and abnormal nodes based on the time series historical data, the time series monitoring data, and the inter-well network model; S3. Analyze the abnormal nodes to obtain single abnormal nodes and abnormal diagnosis node groups. According to the inter-well chain network model and the abnormal diagnosis node groups, obtain temperature coupling values ​​and pressure coupling values. According to the flow coupling values, temperature coupling values, and pressure coupling values, construct an inter-well coupling matrix. S4. Analyze the inter-well coupling matrix to obtain the inter-well fault matrix; obtain diagnostic results based on the time series monitoring data, the inter-well fault matrix, and the single abnormal node, and perform maintenance and management of the geothermal wells in combination with the time series historical data; The S1 process includes: Geothermal well distribution data includes the distance between wells and wellhead coordinates; geothermal well monitoring data includes historical well monitoring data and real-time well monitoring data; historical well monitoring data includes historical wellhead temperature, historical wellhead pressure, and historical monitoring time; real-time well monitoring data includes real-time wellhead temperature, real-time wellhead pressure, and real-time monitoring time; Conduct response tests on all geothermal wells in the target area to obtain fluid impact values; normalize the obtained fluid impact values ​​to obtain flow coupling values; The geothermal well locations are constructed using the wellhead coordinates of the geothermal well distribution data. The fluid relationship links between the geothermal well locations are constructed using the fluid connection relationships. Based on the fluid relationship links, wellhead distances, geothermal well locations, and flow coupling values, the well network model of the geothermal field area is obtained. The process for response testing all geothermal wells within the target area includes: Select one geothermal well as an injection well and several geothermal wells as observation wells, inject water into the injection well, and record the bottom hole pressure change value of the observation well; record the area where the observation well and the injection well with the bottom hole pressure change value are located as the geothermal field area; repeat the response test on all geothermal wells in the target area until all geothermal wells in the geothermal field area are classified as the geothermal field area; perform a response test on any two geothermal wells in the geothermal field area, record the injection time, injection flow change value, bottom hole pressure change value and recording time of the injection well, obtain the fluid connection relationship between the observation well with the bottom hole pressure change value and the injection well, and obtain the fluid impact value according to the injection time, injection flow change value, bottom hole pressure change value and recording time of the injection well.

2. A method for intelligent monitoring and fault diagnosis of geothermal well operation status according to claim 1, characterized in that: Set the time series window, obtain the time series monitoring data and time series historical data based on the geothermal well monitoring data and the time series window, and obtain the inter-well chain network model and abnormal nodes based on the time series historical data, time series monitoring data and the inter-well network model. The time series window is set with time series granularity and fluctuation granularity. Through the time series granularity and fluctuation granularity, the time series window processes the real-time well monitoring data as follows: by sliding the time series window horizontally on the real-time monitoring time, the time series wellhead temperature, time series wellhead pressure and time series interval are obtained. By sliding the time series window vertically on the time series wellhead temperature and time series wellhead pressure, the state mark, abnormal temperature value and abnormal pressure value of the time series interval are obtained; and the data obtained by processing the real-time well monitoring data is recorded as the time series monitoring data; the time series window is used to process the historical well monitoring data in the same way as above through the time series granularity and fluctuation granularity to obtain the time series historical wellhead temperature, time series historical wellhead pressure and time series historical interval, and the obtained data is recorded as the time series historical data; Set up monitoring nodes; Obtain time series nodes based on time series monitoring data and monitoring nodes; The timing nodes include timing temperature nodes and timing pressure nodes; The time series monitoring data and time series historical data are stored in the time series temperature node and time series pressure node respectively. Through blockchain technology, the time series temperature node and time series pressure node are chained in chronological order, and the geothermal well sites are recorded as geothermal well nodes to construct an inter-well chain network model; if the time series node contains the status mark of "abnormal state", the corresponding geothermal well node will be recorded as an abnormal state node.

3. A method for intelligent monitoring and fault diagnosis of geothermal well operation status according to claim 2, characterized in that: Analyze the abnormal nodes to obtain single abnormal nodes and abnormal diagnosis node groups. Based on the inter-well chain network model and the abnormal diagnosis node groups, obtain the temperature coupling value and the pressure coupling value. Based on the flow coupling value, temperature coupling value and pressure coupling value, the process of constructing the inter-well coupling matrix includes the following: Analyze the abnormal nodes; when all other geothermal well nodes with fluid relationship links to the abnormal node are not abnormal nodes, a single abnormal node is obtained; when there is an abnormal node among other geothermal well nodes with fluid relationship links to the abnormal node, the abnormal node and the other abnormal nodes with fluid relationship links are recorded as an abnormal diagnosis node group; Through the inter-well chain network model, all abnormal nodes in the abnormal diagnosis node group are analyzed separately. According to the time-series temperature nodes, time-series wellhead temperatures, time-series pressure nodes, and time-series wellhead pressures, the temperature fluctuation values ​​and pressure fluctuation values ​​are obtained. The fluctuation trends of the temperature fluctuation values ​​and pressure fluctuation values ​​are compared to obtain the temperature coupling value and pressure coupling value. According to the flow coupling value, temperature coupling value, and pressure coupling value between two abnormal nodes, the inter-well coupling matrix is ​​constructed.

4. A method for intelligent monitoring and fault diagnosis of geothermal well operation status according to claim 3, characterized in that: The process of comparing the fluctuation trends of temperature fluctuation values ​​and pressure fluctuation values ​​includes: The temperature fluctuation value and pressure fluctuation value of each abnormal node are arranged in sequence according to the order of the corresponding time series temperature nodes and time series pressure nodes, and the temperature trend factor and pressure trend factor are obtained according to the adjacent temperature fluctuation values ​​and pressure fluctuation values. The temperature trend degree and pressure trend degree are obtained according to the temperature trend factor and pressure trend factor of any two abnormal nodes, and the temperature trend interval and pressure trend interval are obtained according to the minimum time series interval of the temperature trend factor and the pressure trend factor; the temperature coupling value and pressure coupling value between the two abnormal nodes are obtained according to the temperature trend interval, pressure trend interval, temperature trend degree and pressure trend degree of the two abnormal nodes.

5. The method for intelligent monitoring and fault diagnosis of geothermal well operation status according to claim 4, characterized in that: The inter-well coupling matrix is ​​analyzed to obtain the inter-well fault matrix. Based on the time series monitoring data, the inter-well fault matrix, and the single abnormal node, the diagnosis results are obtained. The maintenance and management process of the geothermal well is carried out in combination with the time series historical data. The process includes: Set coupling diagnosis threshold and fault diagnosis threshold; When the abnormal temperature value or abnormal pressure value of the abnormal state node corresponding to the inter-well row or inter-well column of the inter-well coupling matrix is ​​greater than or equal to the fault diagnosis threshold, the fault row or fault column is obtained; When the flow coupling value, temperature coupling value, and pressure coupling value in the items corresponding to the fault row or fault column of the inter-well coupling matrix are all less than the coupling diagnosis threshold, the inter-well fault matrix is ​​obtained, and the diagnosis result 1 is obtained; based on all items, flow coupling values, temperature coupling values, and pressure coupling values ​​of the inter-well fault matrix, the item chain and item direction are obtained; All abnormal nodes in the inter-well fault matrix are compared with all abnormal nodes in the inter-well coupling matrix to obtain the current abnormal node. When the abnormal temperature value or abnormal pressure value of the current abnormal node or a single abnormal node is greater than or equal to the fault diagnosis threshold, the second diagnosis result is obtained. The first and second diagnosis results, the item link, and the item direction are sent to maintenance personnel to perform maintenance and management of the geothermal well. Using LSTM technology, the time series historical data in the inter-well chain network model is predicted to obtain predicted data, which is sent to maintenance personnel to facilitate further maintenance and management of the geothermal well.

6. A geothermal well operation status intelligent monitoring and fault diagnosis system, specifically applied to a geothermal well operation status intelligent monitoring and fault diagnosis method according to any one of claims 1 to 5, comprising a management center, characterized in that: The management center is connected to the data acquisition module, data analysis module, data diagnosis module and fault maintenance module: The data acquisition module is used to obtain geothermal well distribution data and geothermal well monitoring data in the target area, analyze the geothermal wells in the target area, obtain geothermal field area and flow coupling values, and build an inter-well network model based on the geothermal well distribution data and geothermal well monitoring data; The data analysis module is used to set the time series window, obtain the time series monitoring data and time series historical data based on the geothermal well monitoring data and the time series window, and obtain the inter-well chain network model and abnormal nodes based on the time series historical data, time series monitoring data and the inter-well network model; The data diagnosis module is used to analyze abnormal nodes, obtain single abnormal nodes and abnormal diagnosis node groups, obtain temperature coupling values ​​and pressure coupling values ​​based on the inter-well chain network model and the abnormal diagnosis node groups, and construct an inter-well coupling matrix based on the flow coupling values, temperature coupling values, and pressure coupling values; The fault maintenance module is used to analyze the inter-well coupling matrix and obtain the inter-well fault matrix; obtain the diagnosis results based on the time series monitoring data, the inter-well fault matrix and the single abnormal node, and perform maintenance and management of the geothermal wells in combination with the time series historical data.

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