Offshore intelligent separate production well measurement and control method

Abstract

The invention provides an offshore intelligent separate production well measurement and control method, which comprises the following steps of: selecting an initial value of the opening of a bottom-hole regulator of each layer of a production well and an initial value of the frequency of an underground electric submersible pump by using real-time parameter information of the production well acquired by an underground acquisition gateway, acquiring an error between the oil production quantity of each layer and the target oil production quantity of each layer under the current opening, and calculating the relative error of the oil production quantity of the whole well; the frequency of the electric submersible pump is cyclically adjusted, the error between the oil production quantity of each layer after regulation and control and the target oil production quantity of each layer is remotely collected, the oil production layer with the maximum error of the oil production quantity after regulation and control is regulated and controlled, after the flow test of each layer section is stable, the oil production quantity of each layer under the current opening degree is collected by an underground collection gateway, and after the error of the oil production quantity after regulation and control of each layer is obtained, the oil production quantity of each layer is calculated. And the oil production well is subjected to circulating regulation and control, and during regulation and control, the oil production layer with the maximum error is selected for regulation and control every time until all the layers meet the production allocation error requirement. According to the method, the oil extraction regulation and control process is analyzed layer by layer, and the optimal oil extraction regulation and control method under the steepest descent method and the Newton method is extracted.

Description

Technical Field

[0001] The present invention relates to the technical field of oil production and development in petroleum engineering, and utilizes real-time parameter information of oil production wells collected by an edge integrated machine and an offshore intelligent sub-production well measurement and control method to regulate and control oil production of target oil production wells. Background Art

[0002] The trend of resource quality deterioration and the high water content of the main old oil fields have made my country's oil fields enter a new stage of deep and fine development. The refined layered oil production technology has been applied to major oil fields one after another. The application of this technology can play a key role in dealing with the contradiction between the long-term development goals of oil fields and the actual output, thereby achieving more oil production. Researchers from multiple oil fields have conducted a large number of oil production control plan analyses and research on improving the refinement of oil production in each layer, but the research content only stays on specific data comparison and analysis, and no research on oil production control methods from the data aspect has been conducted. Summary of the invention

[0003] In view of the existing technical problems, the present invention proposes an offshore intelligent production well measurement and control method, aiming to overcome the problems existing in the above-mentioned technology.

[0004] To achieve the above purpose, the offshore intelligent production well measurement and control method includes the following specific steps:

[0005] S1. Obtain real-time data of oil wells on the edge side, analyze the data on the platform side to derive a control strategy, and the edge integrated machine controls the downhole control system to execute the control strategy;

[0006] S2. Use the downhole acquisition gateway to collect real-time parameters of the sub-production wells;

[0007] S3. According to the real-time parameter information of the oil well collected by the downhole acquisition gateway, the initial values ​​of the opening of the production device of each layer of the oil well and the frequency of the downhole electric submersible pump are selected;

[0008] S4. Adjust the frequency of the electric submersible pump to the initial frequency, adjust the opening of the production device to the initial opening, and collect the error between the oil production of each layer and the target oil production of each layer in a stable state;

[0009] S5. Based on the error information of each layer section collected, the relative error of the production allocation of the whole well is calculated on the data analysis platform, and the frequency control strategy of the submersible pump is obtained by using the algorithm to obtain the frequency size of the submersible pump after control;

[0010] S6. The electric submersible pump is regulated by the edge integrated machine, and after the flow rate test of each layer is stable, the oil production error of each layer after regulation is collected;

[0011] S7. According to the errors of each layer section transmitted from the data management platform, the relative error of the production allocation of the whole well is calculated on the data analysis platform, and the frequency of the electric submersible pump is cyclically adjusted using the Newton algorithm on the data analysis platform. After the production allocation device control requirements are met, the error information of each layer section is collected;

[0012] S8. According to the initial value of the opening of the production distributor of each layer, the frequency of the electric submersible pump is set to a frequency that meets the control requirements, and the error between the oil production of each layer and the target oil production in the stable state is collected;

[0013] S9. Based on the error information of each layer section collected, an algorithm is used on the data analysis platform to obtain a production device opening control strategy, and obtain the opening size of the production device after control;

[0014] S10. The production distributor is regulated by the edge integrated machine. After the flow rate test of each layer is stable, the oil production error of each layer after regulation is collected;

[0015] S11. Based on the errors of each layer section transmitted from the data management platform, the steepest descent algorithm is used on the data analysis platform to cyclically adjust the opening of each layer's production distributor. When the production distribution errors of each layer are met, the regulation is stopped.

[0016] Further technology of the present invention:

[0017] Preferably, the specific steps of S1 include:

[0018] On the edge side, real-time data of the oil wells is obtained through the downhole data collection gateway. After the gateway obtains the data, the real-time data of the oil wells is transmitted to the edge integrated machine platform side. On the platform side, the real-time data of the oil wells is stored through the data management platform, and the data is analyzed and modeled through the data analysis platform to derive the oil well control strategy. After the oil well control strategy is derived on the platform side, the control strategy is transmitted to the edge integrated machine, and the edge integrated machine controls the downhole control system to execute the control strategy.

[0019] Preferably, the specific steps of S2 include:

[0020] Through Modbus RTU / TCP protocol rules, real-time parameters in the oil well controller are read in real time, including: wellhead oil pressure, wellhead flow, submersible pump frequency, and real-time parameters of each injection and production layer of the oil well are read in real time, including: layer number, flow, regulating valve opening, motor status, and current working mode.

[0021] Preferably, in S3, the initial opening of each layer's production distributor is set to 50%; and the initial frequency of the electric submersible pump is set to 30 Hz.

[0022] Preferably, the specific step of S4 includes:

[0023] After the submersible pump frequency is set to the initial frequency and the production distributor opening is set to the initial opening, after the flow test of each layer is stable, the downhole acquisition gateway collects the oil production of each layer at the current frequency, and stores the collected oil production data of each layer on the edge integrated machine platform side, and compares it with the target oil production of each layer of the oil well stored on the edge integrated machine platform side, and obtains the error between the oil production of each layer at the current opening and the target oil production of each layer, and stores the oil production error data of each layer on the edge integrated machine data management platform

[0024] Preferably, the specific step of S5 includes:

[0025] According to the oil production error data of each layer stored in the data management platform, the relative error of the whole well at the current frequency is calculated on the data analysis modeling platform, and the relative error of the whole well is stored in the data management platform. The frequency adjustment size of the submersible pump is calculated using the Newton method to obtain the frequency size of the submersible pump after regulation. The specific steps include:

[0026] Use Newton's method to find the next control frequency f i+1 , where the iterative formula of Newton's algorithm is as follows:

[0027]

[0028] Where i is the number of iterations, f i is the ESP frequency regulated for the i-th time, ΔQ(f i ) is f i The relative error data of the whole well stored in the data management platform under the frequency, α k is the starting factor and sets the initial value to 1.

[0029] Preferably, the specific step of S6 includes:

[0030] The submersible pump frequency is set to the submersible pump frequency obtained after algorithm iteration. After the flow test of each layer is stable, the downhole data acquisition gateway collects the oil production of each layer at the current opening, and stores the collected oil production data of each layer on the data management platform. It is compared with the target oil production of each layer of the oil well stored on the data management platform to obtain the error between the oil production of each layer at the current opening and the target oil production of each layer, and the oil production error data of each layer is stored on the data management platform.

[0031] Preferably, the specific step of S7 includes:

[0032] According to the oil production errors of each layer after regulation stored in the edge integrated machine, the steepest descent algorithm is used on the data analysis platform to regulate the oil production layer with the largest oil production error after regulation. After the flow test of each layer is stable, the downhole acquisition gateway collects the oil production of each layer at the current opening, and the relative error of the whole well at the current frequency is calculated on the data analysis modeling platform. The data analysis platform uses Newton algorithm to cyclically regulate the frequency of the submersible pump until the production distributor regulation requirements are met.

[0033] Preferably, the specific step S8 includes:

[0034] After setting the production distributor opening to the initial opening, and waiting for the flow test of each layer to stabilize, the downhole acquisition gateway collects the oil production of each layer at the current opening, and stores the collected oil production data of each layer on the edge integrated machine platform side, and compares it with the target oil production of each layer of the oil well stored on the edge integrated machine platform side, to obtain the error between the oil production of each layer at the current opening and the target oil production of each layer, and stores the oil production error data of each layer on the edge integrated machine data management platform.

[0035] Preferably, the specific step S9 includes:

[0036] According to the oil production error data of each layer stored in the data management platform, the oil production layer with the largest error is selected, and the steepest descent method is used on the data analysis modeling platform to calculate the adjustment size of the production device opening of the oil production layer, and the opening size of the production device after adjustment is obtained. The specific steps include:

[0037] Compare the oil production errors of each layer, select the oil production layer with the largest oil production error, and convert the original opening Z of this layer into i Bring it into the algorithm and use the steepest descent method to find the next control opening Z i+1 , where the iterative formula of the steepest descent algorithm is as follows:

[0038]

[0039] Among them, i is the number of iterations, j is the layer number, and Z i To adjust the opening of the front distributor, Z i+1 To adjust the opening of the rear distributor, Q j The target oil production of this layer stored in the data management platform. is the measured oil production data of this layer stored in the data management platform, θ is the iteration step length, and the initial value is set to 1;

[0040] In the algorithm, the iterative step size θ update strategy is as follows:

[0041]

[0042] Among them, θ i To adjust the previous step length, θ i+1is the step length after regulation.

[0043] Preferably, the specific steps of S10 include:

[0044] The opening of the distributor is set to the opening of the distributor obtained after algorithm iteration. After the flow test of each layer is stable, the downhole acquisition gateway collects the oil production of each layer at the current opening, and stores the collected oil production data of each layer on the data management platform. It is compared with the target oil production of each layer of the oil well stored on the data management platform to obtain the error between the oil production of each layer at the current opening and the target oil production of each layer, and the oil production error data of each layer is stored on the data management platform.

[0045] Preferably, the specific steps of S11 include:

[0046] According to the oil production errors of each layer after regulation stored in the edge integrated machine, the steepest descent algorithm is used on the data analysis platform to regulate the oil production layer with the largest oil production error after regulation. After the flow test of each layer is stable, the downhole acquisition gateway collects the oil production of each layer at the current opening. After obtaining the oil production error of each layer after regulation, the data analysis platform uses the steepest descent algorithm to perform cyclic regulation on the oil wells. During regulation, the oil production layer with the largest error is selected for regulation each time until each layer meets the production allocation error requirements.

[0047] Compared with the prior art, the present invention has the following beneficial effects:

[0048] The offshore intelligent production well measurement and control method proposed in the present invention is based on a theory that analyzes the oil production control process layer by layer and extracts the optimal oil production control method under the steepest descent method and Newton's method. This technology is of great significance for guiding the work of on-site technicians. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solution of the present invention, the following is a brief introduction to the drawings required for the method introduction. Obviously, the drawings described below are some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0050] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0051] Figure 2 It is the opening degree of the production device for each layer, the frequency of the electric submersible pump and the corresponding changes in oil production. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and implementation cases.

[0053] like Figure 1-2 , the offshore intelligent injection well measurement and control method includes the following specific steps:

[0054] S1. Obtain real-time data of oil wells on the edge side, analyze the data on the platform side to derive a control strategy, and the edge integrated machine controls the downhole control system to execute the control strategy;

[0055] S2. Use the downhole acquisition gateway to collect real-time parameters of the sub-production wells;

[0056] S3. According to the real-time parameter information of the oil well collected by the downhole acquisition gateway, the initial values ​​of the opening of the production device of each layer of the oil well and the frequency of the downhole electric submersible pump are selected;

[0057] S4. Adjust the frequency of the electric submersible pump to the initial frequency, adjust the opening of the production device to the initial opening, and collect the error between the oil production of each layer and the target oil production of each layer in a stable state;

[0058] S5. Based on the error information of each layer section collected, the relative error of the production allocation of the whole well is calculated on the data analysis platform, and the frequency control strategy of the submersible pump is obtained by using the algorithm to obtain the frequency size of the submersible pump after control;

[0059] S6. The electric submersible pump is regulated by the edge integrated machine, and after the flow rate test of each layer is stable, the oil production error of each layer after regulation is collected;

[0060] S7. According to the errors of each layer section transmitted from the data management platform, the relative error of the production allocation of the whole well is calculated on the data analysis platform, and the frequency of the electric submersible pump is cyclically adjusted using the Newton algorithm on the data analysis platform. After the production allocation device control requirements are met, the error information of each layer section is collected;

[0061] S8. According to the initial value of the opening of the production distributor of each layer, the frequency of the electric submersible pump is set to a frequency that meets the control requirements, and the error between the oil production of each layer and the target oil production in the stable state is collected;

[0062] S9. Based on the error information of each layer section collected, an algorithm is used on the data analysis platform to obtain a production device opening control strategy, and obtain the opening size of the production device after control;

[0063] S10. The production distributor is regulated by the edge integrated machine. After the flow rate test of each layer is stable, the oil production error of each layer after regulation is collected;

[0064] S11. Based on the errors of each layer section transmitted from the data management platform, the steepest descent algorithm is used on the data analysis platform to cyclically adjust the opening of each layer's production distributor. When the production distribution errors of each layer are met, the regulation is stopped.

[0065] Specific:

[0066] When the offshore intelligent production well measurement and control method, device and system are in operation, the downhole acquisition gateway starts to collect real-time data of the production wells, including: wellhead oil pressure, wellhead flow, submersible pump frequency, real-time reading of parameters of each injection and production layer of the production well, etc., and saves the collected real-time data of the production wells in the data management platform.

[0067] According to the real-time parameter information of the oil production well transmitted by the data management platform, the steps of selecting the initial value of the opening of the production distributor of each layer of the oil production well and the initial value of the frequency of the downhole electric submersible pump include:

[0068] Table 1A Basic information of oil wells

[0069]

[0070] As can be seen from the table above, the oil well is a three-layer oil well with target production of 400m 3 / d, 150m 3 / d,300m 3 / d. According to the real-time wellhead oil pressure data of the oil production wells transmitted by the data management platform, the wellhead oil pressure is fixed at 1.5MPa, with the primary goal of ensuring the safety of the oil production process. The initial opening of each layer is set to 50%, 50%, and 50%, respectively, and the initial frequency of the downhole electric submersible pump is set to 30hz.

[0071] The data analysis platform transmits the initial opening setting and the initial frequency setting to the edge integrated machine. The edge integrated machine controls the production distributor to set the opening to the initial opening and controls the electric submersible pump to set the frequency to the initial frequency. After the flow test of each layer is stable, the downhole acquisition gateway collects the oil production of each layer at the current opening, and stores the collected oil production data of each layer in the data management platform. It is compared with the target oil production of each layer of the oil production well stored in the data management platform to obtain the error between the oil production of each layer at the current opening and the target oil production of each layer, and the oil production error data of each layer is stored in the data management platform. The measured oil production error of each layer is:

[0072] Table 2 Oil production error of each layer at 30 Hz

[0073]

[0074] The steps of calculating the relative error of the whole well at the current frequency on the data analysis modeling platform according to the oil production error data of each layer stored in the data management platform, storing the relative error of the whole well on the data management platform, and using Newton's method to calculate the frequency adjustment size of the submersible pump to obtain the frequency size of the submersible pump after adjustment include:

[0075] According to the oil production error data of each layer stored in the data management platform, the relative error of the whole well production allocation is calculated on the data analysis platform to be 46.46%, and the initial step length of the algorithm is set to α kThe control requirement of the production distributor is set to 80% oil production target accuracy. The Newton method is used on the data analysis platform to determine the adjustment plan of the submersible pump. In order to calculate the Hessian matrix of the algorithm model, it is stipulated that the frequency of the submersible pump should be adjusted to 35 Hz during the first adjustment.

[0076] The submersible pump frequency control scheme obtained on the data analysis platform is transmitted to the edge integrated machine to control the submersible pump frequency adjustment. After the flow test of each layer is stable, the downhole acquisition gateway collects the oil production of each layer at the current frequency, and obtains the error between the oil production of each layer at the current frequency and the target oil production of each layer. The error between the oil production of each layer and the oil production of each layer is shown in the following table:

[0077] Table 3 Oil production error of each layer at 35 Hz

[0078]

[0079] According to the oil production errors of each layer after regulation stored in the data management platform, the relative error of the whole well production allocation is calculated on the data analysis platform to be 26.98%. The Newton method is used on the data analysis platform to cyclically regulate the frequency of the electric submersible pump until the production allocation device regulation requirements are met.

[0080] In the frequency control of the submersible pump, after one adjustment, the oil production target accuracy requirement of 80% was achieved. After the cycle adjustment was completed, the submersible pump frequency was adjusted to 42hz. The oil production errors of each layer after adjustment are shown in the following table.

[0081]

[0082] At this time, the relative error of the whole well production allocation is 11.02%, which meets the requirement of 80% accuracy of oil production target. 42 Hz is saved as the optimal submersible pump frequency in the data management platform, and the oil production error data of each layer is saved.

[0083] According to the oil production error data of each layer stored in the data management platform, the oil production layer with the largest error is determined to be the second layer. The initial step size θ of the algorithm is set to 1, and the oil production target accuracy is set to 90%. The steepest descent method is used on the data analysis platform to determine the adjustment plan for the production allocation device opening of the oil production layer with the largest error. It can be seen from the algorithm model that the production allocation opening of the second layer should be adjusted to 43% in the first adjustment.

[0084] Table 5. Oil production error of each layer under the first production controller control

[0085]

[0086] According to the oil production errors of each layer after regulation stored in the data management platform, the steepest descent algorithm is used on the data analysis platform to perform cyclic regulation on the oil well. During regulation, the oil production layer with the largest error is selected for regulation each time until each layer meets the production allocation error requirements.

[0087] During the operation of the offshore intelligent production well measurement and control method, device and system of Well A, after 8 adjustments, each layer met the requirement of 90% accuracy, and the cycle adjustment was completed. The oil production error of each layer after the final adjustment is shown in the following table.

[0088] Table 6 Oil production error of each layer after adjustment

[0089]

[0090] It can be concluded that the oil production control method using the steepest descent method and Newton's method can accurately complete the optimal oil production plan of the target oil well. After the adjustment is completed, the best production allocation opening of each layer can be obtained to be 74%, 36% and 56%. At this time, the relative errors of the production allocation of each layer are 6.27%, 0.47% and 7.14%.

[0091] The above shows and describes the basic principles, main features and characteristics of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments, and the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of the present invention to be protected is defined by the attached claims and their equivalents.

Claims

1. An offshore intelligent production well measurement and control method, characterized in that: The specific steps include: S1. Obtain real-time data of oil wells on the edge side, analyze the data on the platform side to derive a control strategy, and the edge integrated machine controls the downhole control system to execute the control strategy; S2. Use the downhole acquisition gateway to collect real-time parameters of the sub-production wells; S3. According to the real-time parameter information of the oil well collected by the downhole acquisition gateway, the initial values ​​of the opening of the production device of each layer of the oil well and the frequency of the downhole electric submersible pump are selected; S4. Adjust the frequency of the electric submersible pump to the initial frequency, adjust the opening of the production device to the initial opening, and collect the error between the oil production of each layer and the target oil production of each layer in a stable state; S5. Based on the error information of each layer section collected, the relative error of the production allocation of the whole well is calculated on the data analysis platform, and the frequency control strategy of the submersible pump is obtained by using the algorithm to obtain the frequency size of the submersible pump after control; S6. The electric submersible pump is regulated by the edge integrated machine, and after the flow rate test of each layer is stable, the oil production error of each layer after regulation is collected; S7. According to the errors of each layer section transmitted from the data management platform, the relative error of the production allocation of the whole well is calculated on the data analysis platform, and the frequency of the electric submersible pump is cyclically adjusted using the Newton algorithm on the data analysis platform. After the production allocation device control requirements are met, the error information of each layer section is collected; S8. According to the initial value of the opening of the production distributor of each layer, the frequency of the electric submersible pump is set to a frequency that meets the control requirements, and the error between the oil production of each layer and the target oil production in the stable state is collected; S9. Based on the error information of each layer section collected, an algorithm is used on the data analysis platform to obtain a production device opening control strategy, and obtain the opening size of the production device after control; S10. The production distributor is regulated by the edge integrated machine. After the flow rate test of each layer is stable, the oil production error of each layer after regulation is collected; S11. Based on the errors of each layer section transmitted from the data management platform, the steepest descent algorithm is used on the data analysis platform to cyclically adjust the opening of each layer's production distributor. When the production distribution errors of each layer are met, the regulation is stopped.

2. According to the offshore intelligent production well measurement and control method in claim 1, it is characterized in that: S1 specific steps include: On the edge side, real-time data of the oil wells is obtained through the downhole data collection gateway. After the gateway obtains the data, the real-time data of the oil wells is transmitted to the edge integrated machine platform side. On the platform side, the real-time data of the oil wells is stored through the data management platform, and the data is analyzed and modeled through the data analysis platform to derive the oil well control strategy. After the oil well control strategy is derived on the platform side, the control strategy is transmitted to the edge integrated machine, and the edge integrated machine controls the downhole control system to execute the control strategy.

3. According to the offshore intelligent production well measurement and control method in claim 2, it is characterized in that: The specific steps of S4 include: Set the initial opening of each layer's production distributor to 50%; set the initial frequency of the submersible pump to 30 Hz, set the submersible pump frequency to the initial frequency, and after the production distributor opening is set to the initial opening, wait for the flow test of each layer to stabilize, and then the downhole acquisition gateway collects the oil production of each layer at the current frequency, and stores the collected oil production data of each layer on the edge integrated machine platform side, and compares it with the target oil production of each layer of the oil well stored on the edge integrated machine platform side, to obtain the error between the oil production of each layer at the current opening and the target oil production of each layer, and stores the oil production error data of each layer on the edge integrated machine data management platform.

4. According to the offshore intelligent production well measurement and control method in claim 3, it is characterized in that: S5 specific steps include: According to the oil production error data of each layer stored in the data management platform, the relative error of the whole well at the current frequency is calculated on the data analysis modeling platform, and the relative error of the whole well is stored in the data management platform. The frequency adjustment size of the submersible pump is calculated using the Newton method to obtain the frequency size of the submersible pump after regulation. The specific steps include: Use Newton's method to find the next control frequency f i+1 , where the iterative formula of Newton's algorithm is as follows: Where i is the number of iterations, f i is the ESP frequency regulated for the i-th time, ΔQ(f i ) is f i The relative error data of the whole well stored in the data management platform under the frequency, α k is the starting factor and sets the initial value to 1.

5. According to the offshore intelligent production well measurement and control method in claim 4, it is characterized in that: S6 specific steps include: The submersible pump frequency is set to the submersible pump frequency obtained after algorithm iteration. After the flow test of each layer is stable, the downhole data acquisition gateway collects the oil production of each layer at the current opening, and stores the collected oil production data of each layer on the data management platform. It is compared with the target oil production of each layer of the oil well stored on the data management platform to obtain the error between the oil production of each layer at the current opening and the target oil production of each layer, and the oil production error data of each layer is stored on the data management platform.

6. According to the offshore intelligent production well measurement and control method in claim 5, it is characterized in that: S7 specific steps include: According to the oil production errors of each layer after regulation stored in the edge integrated machine, the steepest descent algorithm is used on the data analysis platform to regulate the oil production layer with the largest oil production error after regulation. After the flow test of each layer is stable, the downhole acquisition gateway collects the oil production of each layer at the current opening, and the relative error of the whole well at the current frequency is calculated on the data analysis modeling platform. The data analysis platform uses Newton algorithm to cyclically regulate the frequency of the submersible pump until the production distributor regulation requirements are met.

7. According to the offshore intelligent production well measurement and control method in claim 6, it is characterized in that: S8 specific steps include: After setting the production distributor opening to the initial opening, and waiting for the flow test of each layer to stabilize, the downhole acquisition gateway collects the oil production of each layer at the current opening, and stores the collected oil production data of each layer on the edge integrated machine platform side, and compares it with the target oil production of each layer of the oil well stored on the edge integrated machine platform side, to obtain the error between the oil production of each layer at the current opening and the target oil production of each layer, and stores the oil production error data of each layer on the edge integrated machine data management platform.

8. According to the offshore intelligent production well measurement and control method in claim 7, it is characterized in that: S9 specific steps include: According to the oil production error data of each layer stored in the data management platform, the oil production layer with the largest error is selected, and the steepest descent method is used on the data analysis modeling platform to calculate the adjustment size of the production device opening of the oil production layer, and the opening size of the production device after adjustment is obtained. The specific steps include: Compare the oil production errors of each layer, select the oil production layer with the largest oil production error, and convert the original opening Z of this layer into i Bring it into the algorithm and use the steepest descent method to find the next control opening Z i+1 , where the iterative formula of the steepest descent algorithm is as follows: Among them, i is the number of iterations, j is the layer number, and Z i To adjust the opening of the front distributor, Z i+1 To adjust the opening of the rear distributor, Q j The target oil production of this layer stored in the data management platform. is the measured oil production data of this layer stored in the data management platform, θ is the iteration step length, and the initial value is set to 1; In the algorithm, the iterative step size θ update strategy is as follows: Among them, θ i To adjust the previous step length, θ i+1 is the step length after regulation.

9. The offshore intelligent production well measurement and control method according to claim 8, characterized in that: S10 specific steps include: The opening of the distributor is set to the opening of the distributor obtained after algorithm iteration. After the flow test of each layer is stable, the downhole acquisition gateway collects the oil production of each layer at the current opening, and stores the collected oil production data of each layer on the data management platform. It is compared with the target oil production of each layer of the oil well stored on the data management platform to obtain the error between the oil production of each layer at the current opening and the target oil production of each layer, and the oil production error data of each layer is stored on the data management platform.

10. The offshore intelligent production well measurement and control method according to claim 9, characterized in that: S11 specific steps include: According to the oil production errors of each layer after regulation stored in the edge integrated machine, the steepest descent algorithm is used on the data analysis platform to regulate the oil production layer with the largest oil production error after regulation. After the flow test of each layer is stable, the downhole acquisition gateway collects the oil production of each layer at the current opening. After obtaining the oil production error of each layer after regulation, the data analysis platform uses the steepest descent algorithm to perform cyclic regulation on the oil wells. During regulation, the oil production layer with the largest error is selected for regulation each time until each layer meets the production allocation error requirements.

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