Oil well production monitoring method, system, equipment and medium

Abstract

The embodiment of the invention provides an oil well production monitoring method, system and device and a medium, relates to the field of oil well production and is applied to terminal equipment on the single well side. The method comprises the steps that collected single well production data are classified, and corresponding abnormal data and normal data are determined; according to the abnormal degree of the abnormal data, performing priority division on the abnormal data to obtain each target abnormal data, and according to the data type of the normal data, performing optimization level division on the normal data to obtain each target normal data; determining target data to be returned according to the state information of the terminal equipment and the priorities of the target abnormal data and the target normal data; and returning the target data to the far-end service system. Through the method, the problem of low oil well production management working efficiency caused by manual oil well inspection is solved.

Description

Technical Field

[0001] The present application relates to the field of oil well production, and in particular to an oil well production monitoring method, system, equipment and medium. Background Art

[0002] Oil Production Area 5 is located in the southwest of the industrial zone, surrounded by the sea on three sides and adjacent to the West Port Terminal to the north. Production began in June 2008. The main component is the NP2-3 platform, covering an area of ​​1.2 square kilometers. Currently, it manages four single-well platforms, each located more than half an hour's drive from each other. With the exception of the 2-27 single-well platform, the remaining three single-well platforms have yet to undergo automation, resulting in data disparity between them and preventing coordinated management.

[0003] In the existing technology, the production data of oil wells must be recorded by employees stationed at the wells at regular intervals and locations. The accuracy of information recording is low, and the oil well production management work is completed by employees stationed at the station, which consumes a lot of manpower and material resources, and is inefficient, and the accuracy and real-time performance are greatly reduced. Summary of the Invention

[0004] The present application provides an oil well production monitoring method, system, equipment and medium, aiming to solve the problem in related technologies of low efficiency of oil well production management due to manual inspection of oil wells.

[0005] A first aspect of an embodiment of the present application provides an oil well production monitoring method, which is applied to a terminal device on a single well side. The method includes:

[0006] By classifying the collected single-well production data, the corresponding abnormal data and normal data are determined;

[0007] Prioritizing the abnormal data according to the abnormality degree of the abnormal data to obtain each target abnormal data; and prioritizing the normal data according to the data type of the normal data to obtain each target normal data;

[0008] Determining target data to be transmitted back according to the status information of the terminal device and the priorities of the respective target abnormal data and the respective target normal data;

[0009] The target data is transmitted back to the remote service system.

[0010] Optionally, prioritizing the abnormal data according to the abnormality degree of the abnormal data to obtain each target abnormal data, and prioritizing the normal data according to the data type of the normal data to obtain each target normal data, including:

[0011] Determining an abnormal target priority corresponding to the abnormal data according to a value of the abnormal data and a first mapping relationship, wherein the first mapping relationship is a mapping relationship between each value range and each priority;

[0012] According to the abnormal target priority, storing the abnormal data into a storage space corresponding to the abnormal target priority to obtain target abnormal data stored in the storage space;

[0013] determining a normal target priority corresponding to the normal data according to a data type of the normal data and a second mapping relationship, wherein the second mapping relationship is a mapping relationship between the data type and each priority;

[0014] According to the normal target priority, the normal data is stored in a storage space corresponding to the normal target priority to obtain target normal data stored in the storage space.

[0015] Optionally, determining the target data to be transmitted back according to the status information of the terminal device and the priorities of the respective target abnormal data and the respective target normal data includes:

[0016] In the case where the state information satisfies the first condition, determining all target abnormal data and all target normal data as target data to be transmitted back;

[0017] When the state information satisfies the second condition, all target abnormal data and target normal data with the highest priority are determined as target data to be transmitted back;

[0018] When the state information satisfies the third condition, all target abnormal data are determined as target data to be returned.

[0019] Optionally, transmitting the target data back to a remote service system includes:

[0020] According to the priority of each target data, each target data is transmitted back to the remote server in order of priority, wherein the priority of abnormal data is higher than that of normal data.

[0021] Optionally, the collected single-well production data is classified to determine corresponding abnormal data and normal data, including:

[0022] Determining a normal value range of the single well production data;

[0023] The collected production data of each single well are compared with the normal value range respectively, and the production data of the single well whose value is within the normal value range is determined as normal data, and the production data of the single well whose value is outside the normal value range is determined as abnormal data.

[0024] Optionally, the method further includes:

[0025] When the state information satisfies the fourth condition, all target abnormal data are determined as target data to be returned;

[0026] The step of transmitting the target data back to the remote service system includes:

[0027] According to the status information of the terminal equipment on each single well side, the target terminal equipment is determined through the remote service system;

[0028] sending the target data to the target terminal device;

[0029] The target data is transmitted back to the remote server system via the target terminal device.

[0030] Optionally, according to the status information of the terminal devices at each single well side, the target terminal device is determined through the remote service system, including:

[0031] According to the status information of the terminal devices at each single well side, the remote service system determines the first terminal device whose status information meets the set conditions;

[0032] According to the distance between the first terminal device and the terminal device, a target terminal device is determined from the first terminal device through the remote service system.

[0033] A second aspect of the present application provides an oil well production monitoring system, which is applied to any oil well production monitoring method of the first aspect, the system comprising: a terminal device; the terminal device comprising a data processing device and a wireless communication device;

[0034] The data processing device is configured to classify the collected single-well production data to determine corresponding abnormal data and normal data; prioritize the abnormal data according to the degree of abnormality of the abnormal data to obtain target abnormal data; and prioritize the normal data according to the data type of the normal data to obtain target normal data; and determine target data to be transmitted back based on the status information of the terminal device and the priorities of the target abnormal data and the target normal data.

[0035] The wireless communication device is used to transmit the target data back to a remote service system.

[0036] A third aspect of an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps in any one of the methods of the first aspect are implemented.

[0037] A fourth aspect of an embodiment of the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of any method of the first aspect are implemented.

[0038] Beneficial effects:

[0039] The present application provides an oil well production monitoring method, which is applied to a terminal device on a single well side. The method includes: classifying the collected single well production data to determine corresponding abnormal data and normal data; prioritizing the abnormal data according to the abnormality degree of the abnormal data to obtain each target abnormal data, and, according to the data type of the normal data, optimizing the normal data to obtain each target normal data; determining the target data to be returned based on the status information of the terminal device and the priority of each target abnormal data and each target normal data; and returning the target data to a remote service system.

[0040] The production data collected by the terminal equipment of a single well is classified into abnormal data and normal data. The abnormal data and normal data are then prioritized to determine the most important data and the less important data. The prioritized abnormal data and normal data are then sent to the remote service system based on the real-time status of the terminal equipment. This oil well production monitoring method allows the oil well data to be transmitted to the remote service system in real time and quickly, so that the staff can understand the oil well status in a timely manner. At the same time, by classifying and prioritizing the production data, important data can be screened out, reducing the occurrence of incomplete transmission of important data due to factors such as the remote location of the oil well and poor network status, so that the staff can promptly understand whether there is any problem with the oil well. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the description of the embodiments of the present application. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0042] Figure 1 This is a flow chart of an oil well production monitoring method provided by one embodiment of the present application;

[0043] Figure 2 This is a schematic diagram of an oil well production monitoring system proposed in one embodiment of the present application. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0045] The remote locations of the oil wells lack a stable power system, making it difficult for workers to maintain their daily lives. Furthermore, each well site is operated individually, and the well sites are scattered, making it difficult to lay fiber optic cables. This limits data transmission and necessitates manual transmission, making real-time data unavailable.

[0046] In related technologies, remote oil wells are managed and monitored by oil producers through regular inspections. However, this method has great errors. The different methods of oil producers reading valuations greatly affect the accuracy of the data. In addition, bad weather greatly interferes with manual well inspections. Oil producers have a heavy workload, long working hours, and low work efficiency.

[0047] In view of this, an embodiment of the present application proposes an oil well production monitoring method.

[0048] like Figure 1 As shown, Figure 1 This is a flow chart of an oil well production monitoring method provided in this embodiment. The oil well production monitoring method provided in this application is applied to a terminal device on a single well side, and the method includes:

[0049] S11: Classify the collected single-well production data to determine corresponding abnormal data and normal data.

[0050] In this embodiment, each oil well in the oil field has its own corresponding terminal device. This terminal device is used to collect the oil well's production data, classify and prioritize this production data, and transmit the data back. Specifically, taking a single well as an example, the terminal device first collects the oil well's production data. This production data may include the well's oil flow rate data, oil well pressure data, photovoltaic voltage data, battery voltage data, and ambient temperature data. Furthermore, to enable the remote service system to quickly detect problems in the collected production data, the terminal device also classifies the collected production data after collection, distinguishing problematic production data from normal production data. Specifically, problematic production data is classified as abnormal data, and normal production data is classified as normal data.

[0051] S12: Prioritizing the abnormal data according to the abnormality degree of the abnormal data to obtain target abnormal data; and prioritizing the normal data according to the data type of the normal data to obtain target normal data.

[0052] Because oil fields are often located in remote areas, equipment installed near oil wells is prone to problems such as poor signal quality and inability to recharge batteries when low. Therefore, to ensure that important oil well production data, especially monitored production data with issues, is promptly transmitted to the remote service system, this embodiment prioritizes the classified production data, ensuring that higher-priority data is transmitted first, ensuring that personnel are promptly aware of oil well production issues through abnormal data.

[0053] Specifically, the degree of abnormality refers to the degree of deviation between the abnormal data and the normal value of the data. In other words, the abnormal data's level is determined by determining the deviation between the abnormal data and the normal value of the data. The abnormal data with the determined priority level is then designated as the target abnormal data. After determining the priority level of all abnormal data for a single well, the target abnormal data corresponding to each abnormal data point is obtained.

[0054] For example, the oil well flow data and photovoltaic voltage data in the production data have been determined to be abnormal data. By judging that the oil well flow data obtained in real time at this time is very different from the oil well flow data that should be obtained under normal circumstances, the specific deviation value has exceeded the preset maximum deviation value. Therefore, the priority of the oil well flow data can be determined as the first abnormal data level. At this time, the oil well flow data determined to be the first abnormal data level is the target abnormal data. Compared with the photovoltaic voltage data under normal circumstances, the deviation value of the photovoltaic voltage data is smaller. According to the priority level corresponding to the specific deviation value, the priority of the photovoltaic voltage data can be determined as the third abnormal data level. At this time, the photovoltaic voltage data determined to be the third abnormal data level is the target abnormal data, wherein the priority of the first abnormal data level is higher than that of the third abnormal data level.

[0055] Similarly, the data type of normal data can be the level of attention paid by staff to production data. By using historical observation records of production data, it can be determined which production data is more likely to have problems and deserve special attention. The normal production data that attracts the most attention can be classified as the highest-priority normal data, with the first normal data level. The normal data with these priority levels can then be designated as target normal data. After determining the respective priority levels of all normal data for a single well, the target normal data corresponding to each normal data point can be obtained.

[0056] In addition, each abnormal data and each normal data whose priority is determined can be prioritized, and the abnormal data with the priority level labeled can be determined as the target abnormal data, and the normal data with the priority level labeled can be determined as the target normal data.

[0057] S13: Determine the target data to be transmitted back according to the status information of the terminal device and the priorities of the respective target abnormal data and the respective target normal data.

[0058] Due to the remote location of the oil wells, the terminal devices on the oil well side are prone to problems such as poor network signals or difficulty charging batteries. When the terminal device transmits data back, considering the status information of the terminal device such as the network signal and battery level, when the status information indicates good, the terminal device can transmit back all target abnormal data and target normal data. When the status information indicates poor, it can choose to only transmit back all target abnormal data. For example, when the status information is battery level and the battery level is low, in order to avoid rapid battery consumption, the terminal device can choose to transmit back target abnormal data that is more important than target normal data. When the status information is network signal and the network signal is poor, in order to avoid a low transmission rate due to a large amount of data and a poor network signal, the terminal device can choose to transmit back target abnormal data that is more important than target normal data.

[0059] Specifically, through the above method steps, each target abnormal data and each target normal data are known, and then the terminal device status information is obtained. The terminal device status information is obtained to determine the amount of data to be returned by the terminal device, that is, to select how much data to be returned to the remote service system. Then, based on the priorities of each target abnormal data and each target normal data, the specific target abnormal data and target normal data to be returned are selected according to the priority level and the amount of data to be returned. These abnormal target data and target normal data with the determined priority level to be returned are the target data to be returned.

[0060] For example, a terminal device acquires first, second, and third abnormal data, where the first abnormal data has a higher priority than the second abnormal data, which in turn has a higher priority than the third abnormal data. Based on the acquired terminal device status information, the terminal device is judged to be able to transmit 3G of data in the current state. If the acquired first abnormal data has a data volume of 1G, the acquired second abnormal data has a data volume of 2G, and the acquired third abnormal data has a data volume of 3G, the first and second abnormal data are selected as target data in order of priority. In this state, if the acquired first abnormal data has a data volume of 1G, the acquired second abnormal data has a data volume of 0.5G, and the acquired third abnormal data has a data volume of 1.5G, the first, second, and third abnormal data are selected as target data.

[0061] S14: Transmit the target data back to the remote service system.

[0062] In this embodiment, the oil well monitoring system further includes a remote service system configured to receive data transmitted from the terminal device and allow personnel to query the relevant data. Specifically, the terminal device transmits the target data obtained through the above method steps to the remote service system in order of priority, allowing personnel to monitor and understand the oil well production status in a timely manner.

[0063] In another embodiment of the present application, step S12 specifically includes:

[0064] S21: Determine an abnormal target priority corresponding to the abnormal data according to the value of the abnormal data and a first mapping relationship, where the first mapping relationship is a mapping relationship between each value range and each priority.

[0065] In this embodiment, the first mapping relationship refers to the relationship between the preset value range of abnormal data and the priority level corresponding to the value range. According to the actual value of the abnormal data, it is determined in which preset value range the value of the abnormal data falls, and then the priority level corresponding to the value range is determined to determine the priority level of the abnormal data, that is, to obtain the abnormal target priority level corresponding to the abnormal data. For example, the oil well pressure data in the production data is abnormal data. The value of the oil well pressure data is 15, which is within the preset value range of 0-20, and the priority level corresponding to the preset value range of 0-20 of the oil well pressure data is the third abnormal data level. Therefore, the abnormal target priority level corresponding to the oil well pressure data actually obtained is the third abnormal data level.

[0066] S22: According to the abnormal target priority, the abnormal data is stored in a storage space corresponding to the abnormal target priority to obtain target abnormal data stored in the storage space.

[0067] Specifically, the abnormal target priority corresponding to each abnormal data item obtained through the above method steps is stored in different priority storage spaces according to the abnormal target priority item corresponding to each abnormal data item, so that abnormal data items with the same priority item are stored in the same storage space, and abnormal data items with different priorities are located in different storage spaces, and finally, the target abnormal data items with priority item are stored in the storage space. For example, all abnormal data items with a first abnormal data level are stored in the first abnormal data space, and all abnormal data items with a second abnormal data level are stored in the second abnormal data space. These abnormal data items stored in the corresponding priority storage spaces are the target abnormal data items.

[0068] In addition, after storing the abnormal data in different storage spaces according to different priorities, the amount of data that needs to be transmitted can be determined based on the status information of the terminal device obtained. Then, according to the priority order corresponding to each storage space and the amount of data stored in each storage space, the target data is transmitted back in order according to the priority order of the storage spaces. By storing the abnormal data in the corresponding priority space and then transmitting it back in spatial order, there is no need to mark the priority of each abnormal data and then select the high-priority abnormal data for transmission in sequence, thereby simplifying the transmission process and avoiding the increase in data volume caused by additional priority marking of abnormal data.

[0069] S23: Determine a normal target priority corresponding to the normal data according to the data type of the normal data and a second mapping relationship, where the second mapping relationship is a mapping relationship between the data type and each priority.

[0070] S24: According to the normal target priority, the normal data is stored in a storage space corresponding to the normal target priority to obtain target normal data stored in the storage space.

[0071] Similarly, the second mapping relationship refers to the relationship between the preset value range of normal data and the priority level corresponding to that value range. By comparing the actual value of the normal data with the preset value range, we determine which value range the normal data falls within. Then, using the specific value range, we find the priority level corresponding to the normal data and determine the normal target priority level corresponding to the normal data. Normal data with a determined normal target priority level is then stored in the storage space corresponding to the priority level. Normal data with the same priority level is stored in the same storage space, ultimately obtaining the target normal data stored in each storage space.

[0072] In another embodiment of the present application, step S13 includes:

[0073] S31: When the state information satisfies a first condition, all target abnormal data and all target normal data are determined as target data to be returned.

[0074] In this embodiment, the terminal device's status information includes at least one of the following: network signal, battery power, and the distance between the terminal device and the remote service. For ease of understanding, in the following text of this embodiment, the battery power is used to represent the status information.

[0075] Specifically, when the terminal device's status information is the terminal device's battery level, the first condition is a preset first battery level range. When the terminal device's battery level is within the preset first battery level range, it indicates that the terminal device's battery level is sufficient to transmit all target abnormal data and all target normal data acquired by the terminal device. Therefore, when the terminal device's battery level is within the first condition, the target data transmitted is all target abnormal data and all target normal data.

[0076] S32: When the state information satisfies the second condition, all target abnormal data and target normal data with the highest priority are determined as target data to be transmitted back.

[0077] Specifically, when the terminal device's status information is battery power, the second condition is a preset second power range. When the terminal device's battery power is within the preset second power range, it indicates that the terminal device's power level is low and insufficient to support the terminal device in transmitting all target abnormal data and all target normal data. Therefore, it is necessary to select the more important abnormal data with problems and the normal data with the highest user attention for transmission, that is, all target abnormal data and the target normal data with the highest priority are determined as target data. The upper limit of the second power range is less than the lower limit of the first power range.

[0078] S33: When the state information satisfies the third condition, all target abnormal data are determined as target data to be returned.

[0079] Specifically, when the terminal device's status information is battery power, the third condition is a preset third power range. When the terminal device's battery power falls within the preset third power range, it indicates that the terminal device's power level is very low and insufficient to transmit the high-volume normal data. To ensure stable oil well production, only the more important abnormal data must be transmitted to the remote service system. Therefore, the target data to be transmitted is all target abnormal data. The upper limit of the third power range is less than the lower limit of the second power range.

[0080] In another embodiment, the lowest-priority production data may be discarded based on the actual battery power consumption of the terminal device. For example, as the battery power decreases from 100%, the lowest-priority normal data of level n, followed by normal data of level n-1, are discarded from the target data to be transmitted, where n represents an integer; a larger n indicates a lower priority.

[0081] In another embodiment of the present application, step S14 includes:

[0082] S41: According to the priority of each target data, the target data are transmitted back to the remote server in order of priority, wherein the priority of abnormal data is higher than that of normal data.

[0083] Specifically, since abnormal data indicates production data with problems, its importance is higher than normal data without problems, so the priority of all abnormal data will be higher than all normal data to ensure that abnormal data is absolutely prioritized before normal data is returned. It is known that the priority of each target data is obtained through the above method steps, so the target data with higher priority will be returned first, and then the target data with lower priority will be returned, until all the target data are returned. This ensures that more important production data reaches the remote service system with higher priority. For example, the target data with the first abnormal data level priority is returned first, then the target data with the second abnormal data level, then the target data with the first normal data level, the target data with the second normal data level, etc., where the first abnormal data level is higher than the second abnormal data level, higher than the first normal data level, and higher than the second normal data level.

[0084] In another embodiment of the present application, step S11 includes:

[0085] S51: Determine the normal value range of the single well production data.

[0086] S52: Compare the collected production data of each single well with the normal value range respectively, determine the production data of the single well whose value is within the normal value range as normal data, and determine the production data of the single well whose value is outside the normal value range as abnormal data.

[0087] Specifically, to determine whether the acquired production data has problems, a preset normal value range is set for the acquired production data. Each piece of production data acquired by the terminal device is compared with its corresponding normal value range. If the production data falls within the corresponding normal value range, it is considered normal data. If the production data falls outside the corresponding normal value range, it is considered abnormal data with problems. For example, if the acquired oil well pressure data is compared with a preset normal value range for oil well pressure values, if the actual oil well pressure data falls within the normal value range, the oil well pressure data is considered normal data.

[0088] In another embodiment of the present application, the method further includes:

[0089] S61: When the state information satisfies the fourth condition, all target abnormal data are determined as target data to be returned.

[0090] Specifically, when the terminal device's status information is the terminal device's battery level, the fourth condition is a preset fourth power range. When the terminal device's battery level is within the fourth power range, it indicates that the terminal device's battery level is severely insufficient. To reduce the terminal device's power consumption, the terminal device chooses to transmit all target data to other terminal devices, which then transmit the target data back from other terminal devices with more sufficient power. Therefore, when the terminal device's battery level is within the fourth power range, all target abnormal data is identified as target data, pending transmission of the target data to other terminal devices. The upper limit of the fourth power range is less than the lower limit of the third power range.

[0091] S62: Transmitting the target data back to the remote service system includes:

[0092] According to the status information of the terminal devices at each single well side, the target terminal device is determined through the remote service system; the target data is sent to the target terminal device; and the target data is transmitted back to the remote server system through the target terminal device.

[0093] When the power level of the terminal device is in the fourth power range, in order to reduce the power consumption of the terminal device and allow the terminal device to retain a certain amount of power to wait for the staff to perform charging detection, and also to ensure that the target data obtained by the terminal device can be transmitted back to the remote server in time, the target data obtained by the terminal device can be sent to the terminal devices on the other single well side, and the target data can be transmitted back through the terminal devices on the other single well side.

[0094] Specifically, before transmitting target data, each terminal device at a single well will also transmit terminal device status information to the remote service system, where the status information is expressed as battery power. When the battery power level of a terminal device falls within a fourth power range, the remote service system selects a target terminal device from the multiple terminal devices that can transmit more data based on the battery power levels received from each terminal device. The remote service system then controls the terminal device with a battery power level within the fourth power range to transmit the target data to the target terminal device. The target terminal device then transmits the target data sent by the other terminal devices along with its own target data back to the remote service system.

[0095] In another embodiment of the present application, step S62 includes:

[0096] S71: According to the status information of the terminal devices at each single well side, the remote service system determines the first terminal device whose status information meets the set conditions.

[0097] Specifically, after receiving the battery power levels transmitted by each terminal device, the remote service system determines the terminal device whose battery power level meets a set condition as the first terminal device that can transmit more data. The set condition can be that the battery power level meets a first power range, that is, the remote service system determines all terminal devices on the single well side whose battery power level falls within the first power range as the first terminal device.

[0098] S72: Determine a target terminal device from the first terminal devices through a remote service system according to the distance between the first terminal device and the terminal device.

[0099] Specifically, after obtaining the first terminal device through the above method steps, the remote service system then determines the distance between the first terminal device and the terminal device whose battery power is within the fourth power range, and selects the first terminal device closest to the terminal device as the target terminal device. The purpose is to avoid excessive power consumption of the terminal device due to the long transmission distance as much as possible, and at the same time ensure that the target terminal device that receives the target data has sufficient power to transmit the target data to other terminal devices.

[0100] Based on the same inventive concept, an embodiment of the present application provides an oil well production monitoring system. Figure 2 , Figure 2 This is a schematic diagram of an oil well production monitoring system proposed in one embodiment of the present application. Figure 2 As shown, the system includes: a terminal device; the terminal device includes a data processing device and a wireless communication device;

[0101] The data processing device is configured to classify the collected single-well production data to determine corresponding abnormal data and normal data; prioritize the abnormal data according to the degree of abnormality of the abnormal data to obtain target abnormal data; and prioritize the normal data according to the data type of the normal data to obtain target normal data; and determine target data to be transmitted back based on the status information of the terminal device and the priorities of the target abnormal data and the target normal data.

[0102] The wireless communication device is used to transmit the target data back to a remote service system.

[0103] On the other hand, the terminal device also includes a sensor device, which is used to collect production data of the oil well.

[0104] The sensing equipment also includes: a pressure sensor, a flow meter sensor, a first voltage sensor, a second voltage sensor, and a temperature sensor. The pressure sensor is used to collect oil well pressure data, the flow meter sensor is used to collect oil well flow data, the first voltage sensor is used to collect photovoltaic voltage data, the second voltage sensor is used to collect battery voltage data, and the temperature sensor is used to collect ambient temperature data.

[0105] The terminal device also includes a power supply for providing power. Specifically, the power supply includes a lithium battery for powering the sensor, data processing, and wireless communication devices; a solar panel for converting solar energy into electricity to charge the lithium battery; and a controller for controlling the solar panel to charge the lithium battery when the lithium battery is low on power and to stop charging when the lithium battery is fully charged.

[0106] The sensing device is connected to the data processing device via a wired connection, and the data processing device is connected to the wireless communication device via a wired connection.

[0107] On the other hand, the oil well production monitoring system also includes a remote service system, which can be a WEB service system. The remote service system also includes: a server and a mobile terminal.

[0108] The server is used to determine the target terminal device through the remote service system according to the status information of the terminal device on each single well side; send the target data to the target terminal device; and transmit the target data back to the remote server system through the target terminal device.

[0109] The server is also used to generate corresponding alarm information based on abnormal data in the received target data and send it to the mobile terminal.

[0110] The mobile terminal is used to respond to the staff's query operation, generate a query instruction, retrieve the corresponding query data from the server according to the query instruction, and display the query data.

[0111] In another embodiment of the present application, the terminal device encrypts and packages the collected production dynamics and data information as needed. The collected information is then integrated and uploaded to the transmission system. The transmission system primarily utilizes a VPDN virtual communication network, which not only encrypts and subcontracts data but also enables breakpoint transmission, significantly improving data transmission efficiency. Regarding the remote service system, Visual Studio was utilized to meet the actual needs of oilfield production; supporting software based on a B / S architecture was developed, and a human-computer interaction platform was established. This enables managers to monitor remote oil wells in real time, access basic oilfield production information in a timely manner, and compare and analyze production data.

[0112] Based on the same inventive concept, another embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and runnable on the processor. When the processor executes, the steps in the oil well production monitoring method described in any of the above embodiments of the present application are implemented.

[0113] Based on the same inventive concept, another embodiment of the present application provides a readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the oil well production monitoring method as described in any of the above embodiments of the present application.

[0114] The oil well production monitoring method, system, equipment, and medium provided by the embodiments of this application reduce the number of inspections by staff teams, improve work efficiency, and reduce safety risks associated with equipment operation, thereby enabling digital and intelligent production management of remote oil wells. Furthermore, the safety benefits of this method include a reduced accident rate, thereby minimizing direct losses from accidents themselves, and improving labor productivity by creating favorable working conditions.

[0115] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0116] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, devices, or computer program products. Therefore, the embodiments of the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the embodiments of the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0117] Although preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they become aware of the basic inventive concepts. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present invention.

[0118] Throughout this specification, references to terms such as "one embodiment," "some embodiments," "illustrative embodiments," "example," "specific example," or "some examples" indicate that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, illustrative uses of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0119] Moreover, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or terminal device that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or terminal device. In the absence of further limitations, the phrase "comprising a..." does not preclude the presence of additional identical elements in the process, method, article, or terminal device that includes the elements. The character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0120] The above is a detailed introduction to the oil well production monitoring method, system, equipment and medium provided by the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core ideas. At the same time, for general technical personnel in this field, based on the ideas of the present application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for monitoring oil well production, characterized in that: Applied to a terminal device on a single well side, the method includes: By classifying the collected single-well production data, the corresponding abnormal data and normal data are determined; Prioritizing the abnormal data according to the abnormality degree of the abnormal data to obtain each target abnormal data; and prioritizing the normal data according to the data type of the normal data to obtain each target normal data; Determining target data to be transmitted back according to the status information of the terminal device and the priorities of the respective target abnormal data and the respective target normal data; The target data is transmitted back to the remote service system.

2. The oil well production monitoring method according to claim 1, characterized in that: Prioritizing the abnormal data according to the abnormality degree of the abnormal data to obtain each target abnormal data; and prioritizing the normal data according to the data type of the normal data to obtain each target normal data, including: Determining an abnormal target priority corresponding to the abnormal data according to a value of the abnormal data and a first mapping relationship, wherein the first mapping relationship is a mapping relationship between each value range and each priority; According to the abnormal target priority, storing the abnormal data into a storage space corresponding to the abnormal target priority to obtain target abnormal data stored in the storage space; determining a normal target priority corresponding to the normal data according to a data type of the normal data and a second mapping relationship, wherein the second mapping relationship is a mapping relationship between the data type and each priority; According to the normal target priority, the normal data is stored in a storage space corresponding to the normal target priority to obtain target normal data stored in the storage space.

3. The oil well production monitoring method according to claim 1, characterized in that: Determining target data to be transmitted back according to the status information of the terminal device and the priorities of the respective target abnormal data and the respective target normal data includes: In the case where the state information satisfies the first condition, determining all target abnormal data and all target normal data as target data to be transmitted back; When the state information satisfies the second condition, all target abnormal data and target normal data with the highest priority are determined as target data to be transmitted back; When the state information satisfies the third condition, all target abnormal data are determined as target data to be returned.

4. The oil well production monitoring method according to claim 1, characterized in that: Transmitting the target data back to the remote service system includes: According to the priority of each target data, each target data is transmitted back to the remote server in order of priority, wherein the priority of abnormal data is higher than that of normal data.

5. The oil well production monitoring method according to claim 1, characterized in that: By classifying the collected single-well production data, the corresponding abnormal data and normal data are determined, including: Determining a normal value range of the single well production data; The collected production data of each single well are compared with the normal value range respectively, and the production data of the single well whose value is within the normal value range is determined as normal data, and the production data of the single well whose value is outside the normal value range is determined as abnormal data.

6. The oil well production monitoring method according to claim 3, characterized in that: The method further comprises: When the state information satisfies the fourth condition, all target abnormal data are determined as target data to be returned; The step of transmitting the target data back to the remote service system includes: According to the status information of the terminal equipment on each single well side, the target terminal equipment is determined through the remote service system; sending the target data to the target terminal device; The target data is transmitted back to the remote server system via the target terminal device.

7. The oil well production monitoring method according to claim 6, characterized in that: According to the status information of the terminal equipment on each single well side, the target terminal equipment is determined through the remote service system, including: According to the status information of the terminal devices at each single well side, the remote service system determines the first terminal device whose status information meets the set conditions; According to the distance between the first terminal device and the terminal device, a target terminal device is determined from the first terminal device through the remote service system.

8. An oil well production monitoring system, applied to the oil well production monitoring method according to any one of claims 1 to 7, characterized in that: The system includes: a terminal device; the terminal device includes a data processing device and a wireless communication device; The data processing device is configured to classify the collected single-well production data to determine corresponding abnormal data and normal data; prioritize the abnormal data according to the degree of abnormality of the abnormal data to obtain target abnormal data; and prioritize the normal data according to the data type of the normal data to obtain target normal data; and determine target data to be transmitted back based on the status information of the terminal device and the priorities of the target abnormal data and the target normal data. The wireless communication device is used to transmit the target data back to a remote service system.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

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