Oil well water plugging dynamic monitoring method based on digital twinning technology

Abstract

The invention relates to the field of oil well logging, and provides an oil well water plugging dynamic monitoring method and system based on a digital twinning technology, and the method comprises the steps: installing a plurality of measuring instruments in an oil well region, monitoring the real-time water content of an oil well through the measuring instruments, recording the data obtained through the monitoring of the measuring instruments as first data, and transmitting the first data to a cloud end, and in the cloud, a water shutoff saturation column value is calculated through the first data, and when the water shutoff saturation column value reaches a saturation condition, early warning information is sent to an early warning terminal through the cloud. According to the method, real-time and accurate monitoring of the water outlet risk of the oil well can be achieved, monitoring errors caused by data acquisition delay or incomplete information in a traditional method are avoided, the oil well area is covered with the multiple measuring points, the early warning scheme based on digital twinning is set, the real-time water content of the oil well can be comprehensively monitored, and the water outlet risk of the oil well can be accurately monitored. Dynamic monitoring of oil well water plugging is achieved, and safety and high efficiency in the oil well development process are improved.

Description

Technical Field

[0001] The present invention relates to the field of petroleum well logging, and in particular to a method for dynamic monitoring of oil well water plugging based on digital twin technology. Background Art

[0002] In water-driven oil fields, as formation water advances, due to factors such as formation heterogeneity or different oil-water mobility ratios, the oil layer will be flooded in advance (water will come out of the oil well), thus affecting the recovery rate of the oil field. Oil well water plugging refers to the use of mechanical or chemical methods to plug water in water-flooded oil wells to reduce water out of the oil wells and increase crude oil production. The essence of water plugging is to change the flow of water in the formation, more specifically, to change the direction of water flow. Therefore, the real-time water content of the oil well can provide important data reference for the formulation of oil production plans and the prediction of the development life of the oil well.

[0003] Digital twin-based oil well logging technology refers to a technology that collects and processes data, builds digital models, and uses real-time data exchange and analysis to monitor, analyze, and optimize oil well entities. During oilfield exploitation, traditional oil well water plugging monitoring methods mainly rely on on-site measurements and manual judgments, which have long cycles and low efficiency. At the same time, it is difficult to reflect the water output of oil wells in real time. When the flooding phenomenon is serious, it will not only lead to a decrease in production, but may even cause damage to oil well equipment, affecting production safety. Therefore, a method for dynamically monitoring the water plugging status of oil wells based on real-time parameters is the key to accurately predicting the water plugging trend and taking effective intervention measures in a timely manner. Summary of the invention

[0004] The purpose of the present invention is to propose a dynamic monitoring method for oil well water plugging based on digital twin technology to solve one or more technical problems existing in the prior art and at least provide a beneficial choice or create conditions.

[0005] The present invention provides a method and system for dynamic monitoring of oil well water plugging based on digital twin technology, by installing multiple measuring instruments in the oil well area, and using the measuring instruments to monitor the real-time water content of the oil well, the data obtained by the measuring instruments is recorded as the first data, and the first data is sent to the cloud, in which the water plugging saturation column value is calculated by the first data, and when the water plugging saturation column value reaches the saturation condition, the early warning information is sent to the early warning terminal through the cloud. The method can realize real-time and accurate monitoring of the risk of water discharge from the oil well, avoid monitoring errors caused by data collection delays or incomplete information in traditional methods, cover the oil well area by multiple measuring points and set up an early warning scheme based on digital twins, can comprehensively monitor the real-time water content of the oil well, realize dynamic monitoring of oil well water plugging, and improve the safety and efficiency in the process of oil well development.

[0006] In order to achieve the above object, according to one aspect of the present invention, a method for dynamic monitoring of oil well water plugging based on digital twin technology is provided, and the method comprises the following steps: Install multiple measuring instruments in the oil well area to monitor the real-time water content of the oil well through the measuring instruments; Recording the data monitored by the measuring instrument as first data, and sending the first data to the cloud; In the cloud, a water plugging saturation column value is calculated using the first data; When the water blocking saturation column value reaches the saturation condition, an early warning message is sent to the early warning terminal through the cloud.

[0007] Furthermore, a plurality of measuring instruments are installed in the oil well area, wherein the measuring instruments are oil well water content measuring instruments.

[0008] Furthermore, the method of monitoring the real-time water content of the oil well by the measuring instrument is as follows: the value of the real-time water content of the oil well monitored by the measuring instrument at time T is recorded as RMC(T), wherein time T is any time within a natural day.

[0009] Furthermore, the method of recording the data monitored by the measuring instrument as the first data is specifically as follows: the total number of the multiple measuring instruments is M, and the data measured by the measuring instruments is obtained once every p hours, and K times in total, to obtain K×M data; An array R(j) is used to store K times of data measured by the j-th measuring instrument among the M measuring instruments, and the M arrays corresponding to the M measuring instruments are recorded as first data.

[0010] Preferably, the value of the interval p is set to an integer in the interval [6, 72].

[0011] Furthermore, the value of K is set to an integer in the interval [30,60].

[0012] Furthermore, the method for calculating the water plugging saturation column value through the first data is specifically as follows: Let the range of the j-th array R(j) in M ​​arrays be poR(j), and let the value obtained by dividing poR(j) by SUM(R(j)) be the first column value of array R(j). Then the M arrays R(1), R(2), …, R(M) correspond to M first column values. The largest r values ​​and the smallest value among the M first column values ​​form the water plugging saturation column value, where SUM(R(j)) refers to the sum of the K values ​​in the index group R(j); r=[K÷10]. The beneficial effect of this step is: during the development or production of oil wells, the flow of water and oil and gas may be abnormal, which may cause water to block the flow channel of oil and gas, causing the wellhead pressure to increase and affecting the oil field production. Therefore, it is necessary to pay real-time attention to the water blockage of the oil well during the exploitation process. The method of this step uses real-time water content as the monitoring parameter, calculates the real-time water content of each measuring point, and describes the fluctuation range of the water content data of the oil well by the ratio of the range and total of the measured data, thereby evaluating the water output of the oil well and avoiding false alarms that may be caused by simple threshold judgments.

[0013] Due to the large area of ​​the oil well, the real-time data provided by measuring points at different locations are not the same, and the mutual influence of their data relationships is not taken into account. The water plugging saturation column value used to measure the degree of water production needs to better reflect the overall water-oil flow state of the oil field. Obviously, it is too one-sided to calculate the water plugging saturation column value based only on the data of local measuring points. Therefore, it is necessary to calculate the water plugging saturation column value based on the data provided by each measuring point and considering its globality.

[0014] Preferably, the method for calculating the water plugging saturation column value through the first data may also be: S1, for the M arrays that make up the first data, SR(j) represents the sum of all values ​​in the array R(j), and the array with the smallest extreme value is recorded as R(c 1 ), RMC(c 1 ,t) represents R(c 1 ), where t is the sequence number, t=1,2,…,K; Let the first equation be H(t)=|RMC(c 1 ,t)-RMC(c 1 ,t-1)|, in the first equation, t is traversed from t=2 to t=K to obtain H(2),H(3),…,H(K), and the average of the K-1 values ​​of H(2),H(3),…,H(K) is taken as the second column value L 2 ; Subtract L from each of the M values ​​SR(1),SR(2),…,SR(M) 2 The average value of the M values ​​is recorded as the third column value L 3 , go to S2; S2, arranging the M arrays constituting the first data into an array sequence SeqR from small to large according to the value of SR(j), and using SeqR(j) to represent the j-th array in the array sequence SeqR; Set variable D 1 , D 1 The initial value of is set to the minimum value in SeqR(1), a blank array Psc is created (for storing the water plugging saturation column values), variable x is set, the initial value of variable x is set to 2, and then go to S3; S3, if there are some values within the x-th array SeqR(x) in the array sequence whose magnitudes belong to the interval [D 1 -L 3 , D 1 +L 3 , then add these values to the array Psc, and at the same time update D 1 to the maximum value within the array Psc, and go to S4; S4, if the value of the variable x is less than M, then increase the value of the variable x by 1 and go to S3; if the value of the variable x is equal to M, then go to S5; S5, remove duplicates from the array Psc, and record all the values in the array Psc after duplicate removal as the water shutoff saturation column values.

[0015] The beneficial effect of this step is that by introducing the intermediate parameters L 2 and L 3 , the sum difference of the water cut data provided by each measurement point is corrected. Compared with the calculation method that only focuses on the single-point extreme value, the preferred solution starts from the array with the smallest sum of values, and by continuously updating the saturation interval, sequentially selects the water shutoff saturation column values upwards. While eliminating the data deviation of a single measurement point, it strengthens the global correlation of the data between the measurement points, so that the finally obtained array Pcs can comprehensively reflect the water-oil flow condition of the oilfield, providing a more efficient and accurate parameter criterion for the monitoring of the oilfield water production risk.

[0016] Further, when the water shutoff saturation column value reaches the saturation condition, where the method for judging whether the water shutoff saturation column value meets the saturation condition is specifically as follows: Denote that the water shutoff saturation column value consists of N values in total, and denote the minimum value and the maximum value among these N values as min(N) and max(N) respectively. The N - 1 values obtained by dividing the N - 1 values among these N values except min(N) by min(N) form an array F; if SUM(F) < max(N), then record that the water shutoff saturation column value meets the saturation condition; where SUM(F) represents the sum of all values in the array F.

[0017] The beneficial effect of this step is that the array F is used to measure the ratio of the remaining values to the minimum value. By calculating the relationship between the sum of these ratios (SUM(F)) and the maximum value, the relative change of each value in the water shutoff saturation column value can be amplified. If SUM(F) is less than the maximum value, this indicates that the difference between these values is small, indicating that the oilfield water production has approached the saturation state and water shutoff measures need to be taken.

[0018] Further, send a warning message to the warning terminal through the cloud, where the warning message at least includes the calculation result of the water shutoff saturation column value and the specific time when the water shutoff saturation column value reaches the saturation condition (the specific moment when it reaches the saturation condition).

[0019] The present invention also provides an oil well water plugging dynamic monitoring system based on digital twin technology, the oil well water plugging dynamic monitoring system based on digital twin technology includes: a processor, a memory and a computer program stored in the memory and executable on the processor, the processor implements the steps in an oil well water plugging dynamic monitoring method based on digital twin technology when executing the computer program, the oil well water plugging dynamic monitoring system based on digital twin technology can be run on computing devices such as desktop computers, laptops, mobile phones, cell phones, tablet computers, PDAs and cloud data centers, the executable system may include, but is not limited to, processors, memories, server clusters, the processor executes the computer program to run in the following system units: A data measurement unit is used to install multiple measuring instruments in the oil well area and monitor the real-time water content of the oil well through the measuring instruments; A data sending unit, used to record the data monitored by the measuring instrument as first data, and send the first data to the cloud; A parameter calculation unit, used for calculating a water plugging saturation column value through the first data in the cloud; The early warning sending unit is used to send early warning information to the early warning terminal through the cloud when the water blocking saturation column value reaches the saturation condition.

[0020] The beneficial effects of the present invention are as follows: the method can realize real-time and accurate monitoring of the risk of water production in oil wells, avoid monitoring errors caused by data collection delays or incomplete information in traditional methods, cover the oil well area through multiple measurement points and set up an early warning plan based on digital twins, so as to comprehensively monitor the real-time water content of the oil wells, realize dynamic monitoring of water plugging in the oil wells, and improve the safety and efficiency in the oil well development process. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The above and other features of the present invention will become more obvious by describing in detail the embodiments shown in the accompanying drawings. The same reference numerals in the accompanying drawings of the present invention represent the same or similar elements. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other accompanying drawings can be obtained based on these accompanying drawings without creative work. In the accompanying drawings: Figure 1 Shown is a flow chart of a method for dynamic monitoring of oil well water plugging based on digital twin technology; Figure 2 Shown is a system structure diagram of an oil well water plugging dynamic monitoring system based on digital twin technology. DETAILED DESCRIPTION

[0022] The following will be combined with the embodiments and drawings to clearly and completely describe the concept, specific structure and technical effects of the present invention, so as to fully understand the purpose, scheme and effect of the present invention. It should be noted that the embodiments and features in the embodiments of this application can be combined with each other without conflict.

[0023] In the description of the present invention, "several" means one or more, "more" means more than two, "greater than", "less than", "exceed" etc. are understood as not including the number itself, and "above", "below", "within" etc. are understood as including the number itself. If there is a description of "first" or "second", it is only used for the purpose of distinguishing the technical features, and cannot be understood as indicating or implying the relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0024] like Figure 1 The flowchart of a method for dynamic monitoring of oil well water plugging based on digital twin technology according to the present invention is shown below. Figure 1 To illustrate a method for dynamic monitoring of oil well water plugging based on digital twin technology according to an embodiment of the present invention.

[0025] The present invention proposes a method for dynamic monitoring of oil well water plugging based on digital twin technology, and the method comprises the following steps: Install multiple measuring instruments in the oil well area to monitor the real-time water content of the oil well through the measuring instruments; Recording the data monitored by the measuring instrument as first data, and sending the first data to the cloud; In the cloud, a water plugging saturation column value is calculated using the first data; When the water blocking saturation column value reaches the saturation condition, an early warning message is sent to the early warning terminal through the cloud.

[0026] Furthermore, a plurality of measuring instruments are installed in the oil well area, wherein the measuring instruments are oil well water content measuring instruments.

[0027] Specifically, the method for installing multiple measuring instruments in an oil well area is as follows: taking the oil well area as the target area, applying a coverage optimization algorithm to the target area, obtaining node positions from the algorithm output, and taking multiple node positions as installation positions of multiple measuring instruments.

[0028] Furthermore, the method of monitoring the real-time water content of the oil well by the measuring instrument is as follows: the value of the real-time water content of the oil well monitored by the measuring instrument at time T is recorded as RMC(T), wherein time T is any time within a natural day.

[0029] Furthermore, the method of recording the data monitored by the measuring instrument as the first data is specifically as follows: the total number of the multiple measuring instruments is M, and the data measured by the measuring instruments is obtained once every p hours, and K times in total, to obtain K×M data; The array R(j) is used to store the K data measured by the j-th measuring instrument among the M measuring instruments, that is, the length of the array R(j) is K, j is the sequence number, j=1, 2, …, M, and the M arrays R(1), R(2), …, R(M) corresponding to the M measuring instruments are recorded as the first data.

[0030] Specifically, the value of K is set to 30.

[0031] Specifically, the first data is sent to the cloud, wherein the measuring instrument is equipped with a built-in UART-WIFI module, and the data monitored by the measuring instrument is sent to the cloud in a wireless manner.

[0032] Furthermore, the method for calculating the water plugging saturation column value through the first data is specifically as follows: Let the range of the j-th array R(j) in M ​​arrays be poR(j), let the value obtained by dividing poR(j) by SUM(R(j)) be the first column value of array R(j), then the M arrays R(1), R(2), …, R(M) correspond to M first column values, and the largest r values ​​and the smallest value among the M first column values ​​form the water plugging saturation column value, where SUM(R(j)) refers to the sum of the K values ​​in the index group R(j); r=[K÷10], [K÷10] means rounding the value in the brackets.

[0033] The range poR(j) of array R(j) is the value obtained by subtracting the minimum value from the maximum value in array R(j).

[0034] Specifically, the method for calculating the water plugging saturation column value through the first data may also be: S1, for the M arrays that make up the first data, SR(j) represents the sum of all values ​​in the array R(j), and the array with the smallest extreme value is recorded as R(c 1 ), c 1 is the serial number, c 1 ∈[1,M], array R(c 1 ) consists of K values, with RMC(c 1 ,t) represents R(c 1 ), where t is the sequence number, t=1,2,…,K; Let the first equation be H(t)=|RMC(c 1 ,t)-RMC(c 1 ,t-1)|, in the first equation, t is traversed from t=2 to t=K to obtain H(2),H(3),…,H(K), and the average of the K-1 values ​​of H(2),H(3),…,H(K) is taken as the second column value L 2 ; |RMC(c 1 ,t)-RMC(c1 , t - 1) represents taking the absolute value of RMC(c 1 , t) - RMC(c 1 , t - 1); Subtract L from each of the M values SR(1), SR(2), …, SR(M), 2 and denote the average of the resulting M values as the third - column value L 3 , and go to S2; S2: Arrange the M arrays that make up the first data in ascending order of the value of SR(j) to form an array sequence SeqR, that is, R(1), R(2), …, R(M) are rearranged in ascending order according to the sum of all values within their respective arrays to form the array sequence SeqR, and denote the j - th array in the array sequence SeqR as SeqR(j); Set variable D 1 , and set the initial value of D 1 to the minimum value within SeqR(1). Create an empty array Psc (for storing water - blocking saturation column values), set variable x, and set the initial value of variable x to 2, then go to S3; S3: If there are some values within the x - th array SeqR(x) in the array sequence whose magnitudes belong to the interval [D 1 - L 3 , D 1 + L 3 , then add these values to the array Psc, and at the same time update the value of D 1 to the maximum value within the array Psc, and go to S4; S4: If the value of variable x is less than M, then increase the value of variable x by 1 and go to S3; if the value of variable x is equal to M, then go to S5; S5: Remove duplicates from the array Psc, and denote all the values within the array Psc after duplicate removal as the water - blocking saturation column values.

[0035] Furthermore, when the water - blocking saturation column values reach the saturation condition, where the method for determining whether the water - blocking saturation column values meet the saturation condition is as follows: Denote that the water - blocking saturation column values consist of a total of N values, and denote the minimum and maximum values among these N values as min(N) and max(N) respectively. The N - 1 values obtained by dividing the N - 1 values (excluding min(N)) among these N values by min(N) form an array F; if SUM(F) < max(N), then denote that the water - blocking saturation column values meet the saturation condition; where SUM(F) represents the sum of all values within the array F.

[0036] Furthermore, warning information is sent to the warning terminal through the cloud, wherein the warning information at least includes the calculation result of the water plugging saturation column value and when the water plugging saturation column value reaches the saturation condition (the specific moment when the saturation condition is reached).

[0037] Specifically, the early warning terminal is integrated into the drilling ship or the drilling barge, and the early warning terminal is a computer, a mobile device, a smart terminal or a dedicated alarm device.

[0038] The oil well water plugging dynamic monitoring system based on digital twin technology includes: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps in the above-mentioned oil well water plugging dynamic monitoring method embodiment based on digital twin technology are implemented. The oil well water plugging dynamic monitoring system based on digital twin technology can be run on computing devices such as desktop computers, laptops, mobile phones, cell phones, tablet computers, PDAs and cloud data centers. The executable systems may include, but are not limited to, processors, memories, and server clusters.

[0039] An embodiment of the present invention provides an oil well water plugging dynamic monitoring system based on digital twin technology, such as Figure 2 As shown, a dynamic monitoring system for oil well water plugging based on digital twin technology in this embodiment includes: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps in the above-mentioned dynamic monitoring method for oil well water plugging based on digital twin technology are implemented. The processor executes the computer program to run in the following system units: A data measurement unit is used to install multiple measuring instruments in the oil well area and monitor the real-time water content of the oil well through the measuring instruments; A data sending unit, used to record the data monitored by the measuring instrument as first data, and send the first data to the cloud; A parameter calculation unit, used for calculating a water plugging saturation column value through the first data in the cloud; The early warning sending unit is used to send early warning information to the early warning terminal through the cloud when the water blocking saturation column value reaches the saturation condition.

[0040] The oil well water plugging dynamic monitoring system based on digital twin technology can be run on computing devices such as desktop computers, laptops, PDAs and cloud data centers. The oil well water plugging dynamic monitoring system based on digital twin technology includes, but is not limited to, processors and memories. Those skilled in the art can understand that the example is only an example of an oil well water plugging dynamic monitoring method and system based on digital twin technology, and does not constitute a limitation on an oil well water plugging dynamic monitoring method and system based on digital twin technology. It may include more or fewer components than the example, or a combination of certain components, or different components. For example, the oil well water plugging dynamic monitoring system based on digital twin technology may also include input and output devices, network access devices, buses, etc.

[0041] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete component gate circuits or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the oil well water plugging dynamic monitoring system based on digital twin technology, and uses various interfaces and lines to connect the various sub-areas of the entire oil well water plugging dynamic monitoring system based on digital twin technology.

[0042] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the oil well water plugging dynamic monitoring method and system based on digital twin technology by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0043] The present invention provides a method and system for dynamic monitoring of oil well water plugging based on digital twin technology, by installing multiple measuring instruments in the oil well area, and using the measuring instruments to monitor the real-time water content of the oil well, the data obtained by the measuring instruments is recorded as the first data, and the first data is sent to the cloud, in which the water plugging saturation column value is calculated by the first data, and when the water plugging saturation column value reaches the saturation condition, the early warning information is sent to the early warning terminal through the cloud. The method can realize real-time and accurate monitoring of the risk of water discharge from the oil well, avoid monitoring errors caused by data collection delays or incomplete information in traditional methods, cover the oil well area with multiple measuring points and set up an early warning scheme based on digital twins, and can comprehensively monitor the real-time water content of the oil well, realize dynamic monitoring of oil well water plugging, and improve the safety and efficiency in the oil well development process. Although the description of the present invention has been quite detailed and several embodiments are described in particular, it is not intended to be limited to any of these details or embodiments or any special embodiments, so as to effectively cover the intended scope of the present invention. Furthermore, the present invention is described above with reference to the embodiments foreseeable by the inventors for the purpose of providing a useful description, and those insubstantial modifications of the present invention that are not currently foreseen may still represent equivalent modifications of the present invention.

Claims

1. A method for dynamic monitoring of oil well water plugging based on digital twin technology, characterized in that: The method includes the following steps: Install multiple measuring instruments in the oil well area, and monitor the real-time water cut of the oil well through the measuring instruments; Record the data obtained by the monitoring of the measuring instruments as the first data, and send the first data to the cloud; In the cloud, calculate the water plugging saturation column value through the first data; When the water plugging saturation column value reaches the saturation condition, send a warning message to the warning terminal through the cloud; Record the total number of multiple measuring instruments as M. Obtain the data measured by the measuring instruments once every p hours, and obtain K times in total, to get K×M data. The value of K is set as an integer within the interval [30, 60]. Store the K data measured by the j-th measuring instrument among the M measuring instruments in the array R(j), and record the M arrays corresponding to the M measuring instruments as the first data.

2. According to claim 1, a method for dynamic monitoring of oil well water plugging based on digital twin technology is characterized in that: Install multiple measuring instruments in the oil well area, where the measuring instruments are oil well water cut measuring instruments.

3. The oil well water plugging dynamic monitoring method based on digital twin technology according to claim 1 is characterized in that: The method for monitoring the real-time water cut of the oil well through the measuring instrument is specifically as follows: Record the value of the real-time water cut of the oil well monitored by the measuring instrument at time T as RMC(T), where time T is any moment within a natural day.

4. The method for dynamic monitoring of oil well water plugging based on digital twin technology according to claim 1, characterized in that: The method for calculating the water plugging saturation column value through the first data is specifically as follows: Record the range of the j-th array R(j) in the M arrays as poR(j), record the value obtained by dividing poR(j) by SUM(R(j)) as the first column value of the array R(j), and form the water plugging saturation column value by the largest r values and the smallest one among the M first column values, where SUM(R(j)) represents the sum of the K values in the array R(j); r = [K÷10].

5. The oil well water plugging dynamic monitoring method based on digital twin technology according to claim 1 is characterized in that: When the water plugging saturation column value reaches the saturation condition, where the method for determining whether the water plugging saturation column value meets the saturation condition is specifically as follows: Record that the water plugging saturation column value is composed of N values in total, record the minimum value and the maximum value among these N values as min(N) and max(N) respectively, and form an array F by the N - 1 values obtained by dividing the N - 1 values other than min(N) among these N values by min(N); If SUM(F) < max(N), then record that the water plugging saturation column value meets the saturation condition; where SUM(F) represents the sum of all values in the array F.

6. The oil well water plugging dynamic monitoring method based on digital twin technology according to claim 1 is characterized in that: Send a warning message to the warning terminal through the cloud, where the warning message includes at least the calculation result of the water plugging saturation column value and when the water plugging saturation column value reaches the saturation condition.

7. A dynamic monitoring system for oil well water plugging based on digital twin technology, characterized in that: The described oil well water plugging dynamic monitoring system based on digital twin technology includes: a processor, a memory, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps in any one of claims 1 - 6 of an oil well water plugging dynamic monitoring method based on digital twin technology. The oil well water plugging dynamic monitoring system based on digital twin technology runs on a computing device such as a desktop computer, a laptop computer, or a cloud data center.

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