Marine oil underwater production system steady state real-time collaborative optimization method and system

Abstract

The invention relates to the field of petroleum engineering, and provides a steady-state real-time collaborative optimization method and system for an offshore oil underwater production system. The method comprises the four steps of underwater production system health state evaluation, redundant electric submersible pump active and standby dynamic alternation model establishment, underwater production system production strategy evaluation and underwater production system multi-target collaborative optimization model establishment. The invention discloses a steady-state real-time collaborative optimization system for an offshore oil underwater production system. Comprising an underwater production system health state evaluation subsystem installed on an underwater control module, and a redundant electric submersible pump main-standby dynamic alternation subsystem installed on an underground mechanical module. The production strategy evaluation subsystem of the underwater production system is installed on an overwater control station; and the multi-target collaborative optimization subsystem of the underwater production system is installed on an underwater control module.

Description

Technical Field

[0001] The invention relates to the technical field of petroleum engineering, and proposes a method and system for steady-state real-time collaborative optimization of an offshore oil underwater production system. Background Art

[0002] With the continuous growth of global demand for energy, offshore oil extraction has become one of the important ways to meet energy demand. As the core equipment for offshore oil and gas extraction, underwater production systems are widely used in the development and production of deep-sea oil fields. Underwater production systems usually contain multiple key equipment, such as electric submersible pumps, Christmas trees, etc., and there is a mutual dependence between these equipment. The operating status of the electric submersible pump directly affects the production efficiency of oil and gas, and the Christmas tree adjusts the flow and pressure according to production needs. The collaborative optimization of underwater production systems can increase production and reduce energy consumption by real-time monitoring and adjustment of parameters such as pump speed and nozzle opening.

[0003] In order to ensure the reliability of equipment, the submersible pumps in offshore oil fields generally adopt redundant design. In the production process of the dual submersible pump unit, the working submersible pump and the standby submersible pump operate in coordination. The working submersible pump is used for production, and the standby submersible pump is ready to start at any time to deal with emergencies. However, the traditional redundant submersible pump operation and maintenance mode mainly relies on periodic rotation operation and regular inspection and maintenance, and fails to optimize the production process according to the health status of the equipment. The existing production optimization strategy of underwater production systems often takes a single device as the research object, ignoring the synergy between equipment, resulting in low equipment operation efficiency, which in turn affects the overall production progress. Therefore, it is particularly necessary to develop a steady-state real-time collaborative optimization method and system for offshore oil underwater production systems. Summary of the invention

[0004] The purpose of the present invention is to address the deficiencies of the prior art and to propose a method and system for steady-state real-time collaborative optimization of an offshore oil underwater production system.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions: A method for steady-state real-time collaborative optimization of an offshore oil underwater production system, the collaborative optimization method comprising the following steps: Conduct health status assessment of subsea production systems; When the subsea production system has a redundant electric submersible pump system, a step of dynamically rotating the working electric submersible pump and the standby electric submersible pump is performed; Evaluate the production plan of the underwater production system to determine whether the current production plan needs to be adjusted; When the production plan adjustment conditions are met, the multi-objective collaborative optimization steps of the underwater production system are executed; The steps of multi-objective collaborative optimization of the underwater production system include: Taking the maximization of production, minimization of maintenance costs and minimization of production energy consumption as the optimization objectives, a multi-objective optimization function is constructed, and a multi-objective optimization model of the underwater production system is established based on the genetic particle swarm optimization algorithm; Solve the multi-objective optimization problem and select the optimal production plan according to the optimal solution set; Adjusting production parameters of the underwater production system according to the optimal production plan; After executing the optimal production plan for a period of time, the optimization results are fed back, and based on the feedback results, the multi-objective optimization model of the underwater production system is optimized.

[0006] Furthermore, the specific steps of performing the health status assessment of the underwater production system include: Obtain the sensor parameters and production parameters of the underwater production system, and obtain the real-time production status of the underwater production system through signal processing; Calculate the risk of failure of subsea production systems; Calculate the performance degradation of subsea production systems; The underwater production system health index is calculated based on the failure risk degree of the underwater production system, the performance degradation degree of the underwater production system and their importance to the health status of the underwater production system.

[0007] Furthermore, the specific steps of switching the standby electric submersible pump include: When the conditions for switching between the main and standby pumps are met, the system automatically starts the standby pump and shuts down the currently working submersible pump. If the automatic switch fails, the operator manually switches to the standby pump; Conduct a startup test on the standby pump: first run the pump at no load, check the motor status, vibration, noise, etc., to ensure that the standby pump starts smoothly and without abnormalities; gradually apply the load to test the performance of the standby pump in the actual working environment, to ensure that the standby pump can operate stably within the specified working pressure, flow and power range; The standby pump is put into operation and becomes the new working pump. The operating parameters of the working pump are recorded to provide data support for subsequent analysis and maintenance.

[0008] Furthermore, the specific steps of evaluating the production plan of the underwater production system include: According to the ratio of current oil and gas production to target oil and gas production, the production target score SY of the current production plan is determined; According to the actual energy consumption of the current production plan and the target energy consumption of the oil field, the energy consumption of the current production plan is scored based on expert experience to obtain the energy consumption score SE; Based on the underwater production system health index results, the underwater production system health index score SHI is obtained; The comprehensive score S of the production plan is obtained by summing the output target score SY, energy consumption score SE, and system health index score SHI, S∈[0,100]; When the following production plan adjustment conditions are met, the production plan adjustment strategy is automatically triggered and a targeted adjustment plan is formulated: When the production target score SY is lower than 40 points, the production increase strategy is initiated; When the energy consumption score SE is lower than 12 points, the energy consumption reduction strategy is initiated; When the underwater production system health index score SHI is lower than 21 points, the health index recovery strategy is initiated; When the comprehensive score S of the production plan of the underwater production system is lower than 75 points, an early warning is activated and the production plan is immediately checked and adjusted.

[0009] Furthermore, the above-water component data acquisition module of the underwater production system health status assessment subsystem is connected to the workstation through a cable, and is used to collect monitoring data of the main control station, the emergency shutdown device, the workstation, the hydraulic power unit, the electric power unit, the uninterruptible power supply, and the umbilical cable; the underwater oil tree data acquisition module is connected to the workstation through a cable, and is used to collect monitoring data of the first underwater control module, the second underwater control module, the third underwater control module, the fourth underwater control module, the fifth underwater control module, the sixth underwater control module, the seventh underwater control module, the eighth underwater control module, the first underwater oil tree, the second underwater oil tree, the third underwater oil tree, the fourth underwater oil tree, the fifth underwater oil tree, the sixth underwater oil tree, the seventh underwater oil tree, and the eighth underwater oil tree; the electric submersible pump data acquisition module is connected to the workstation through a cable, and is used to collect monitoring data of the first electric submersible pump, the second electric submersible pump, the third electric submersible pump, the fourth electric submersible pump, the fifth electric submersible pump, the sixth electric submersible pump, the seventh electric submersible pump, and the eighth electric submersible pump. The underwater production system fault risk assessment module is connected to the surface component data acquisition module, the underwater oil tree data acquisition module, and the electric submersible pump data acquisition module through cables, and is used for underwater production system fault risk assessment; the electrical component data acquisition module is connected to the workstation through cables, and is used to collect monitoring data of the emergency shutdown device, the electric power unit, and the uninterruptible power supply; the mechanical component data acquisition module is connected to the workstation through cables, and is used to collect monitoring data of the mechanical components of the underwater production system; the hydraulic system data acquisition module is connected to the workstation through cables, and is used to collect monitoring data of the hydraulic power unit; the underwater production system degradation assessment module is connected to the electrical component data acquisition module, the mechanical component data acquisition module, and the hydraulic system data acquisition module through cables, and is used for underwater production system degradation assessment; the underwater production system health status assessment module is connected to the underwater production system fault risk assessment module and the underwater production system degradation assessment module through cables, and is used to assess the overall health status of the underwater production system.

[0010] Furthermore, a steady-state real-time collaborative optimization system for an offshore oil underwater production system is provided, the system comprising: The subsea production system health status assessment subsystem is used to assess the health status of the subsea production system; Redundant submersible pump active / standby dynamic rotation subsystem, used to realize dynamic rotation between working submersible pump and standby submersible pump; The subsea production system production plan evaluation subsystem is used to evaluate the current production plan; The underwater production system multi-objective collaborative optimization subsystem is used to perform multi-objective collaborative optimization on the underwater production system; The multi-objective collaborative optimization subsystem of the underwater production system includes: Multi-objective optimization module, used to perform multi-objective optimization on the underwater production system and generate production optimization solutions; A production optimization plan execution module is used to execute the production optimization plan; The optimization effect feedback module is used to feedback the optimization effect of the production optimization plan.

[0011] Furthermore, the underwater production system health status assessment subsystem includes: The above-water component data collection module is used to collect monitoring data of above-water components; An underwater Christmas tree data collection module is used to collect monitoring data of underwater Christmas trees; Electric submersible pump data acquisition module, used to collect monitoring data of electric submersible pump; Subsea production system failure risk assessment module, used to assess the failure risk of the subsea production system; An electrical component data acquisition module is used to collect monitoring data of electrical components; Mechanical component data acquisition module, used to collect monitoring data of mechanical components; Hydraulic system data acquisition module, used to collect monitoring data of the hydraulic system; Subsea production system degradation assessment module, used to assess the degradation degree of the subsea production system; The underwater production system health status assessment module is used to assess the overall health status of the underwater production system.

[0012] Furthermore, the redundant electric submersible pump active / standby dynamic rotation subsystem includes: Working pump data acquisition module, used to collect monitoring data of the working pump; A standby pump data acquisition module is used to collect monitoring data of the standby pump; A working pump health status assessment module is used to assess the health status of the working pump; The main and standby pump automatic rotation module is used to automatically switch the working pump and the standby pump; The main and standby pump manual switching module is used to manually switch the working pump and the standby pump.

[0013] Furthermore, the underwater production system production plan evaluation subsystem includes: The yield evaluation module is used to evaluate the yield under the current production plan; Energy consumption evaluation module, used to evaluate the energy consumption under the current production plan; Subsea production system health assessment module, used to quantify the health status of the subsea production system; The production plan comprehensive evaluation module is used to comprehensively evaluate the current production plan.

[0014] Furthermore, the multi-objective collaborative optimization subsystem of the underwater production system includes: Multi-objective optimization module, used to perform multi-objective optimization on the underwater production system and generate production optimization solutions; A production optimization plan execution module is used to execute the production optimization plan; The optimization effect feedback module is used to feedback the optimization effect of the production optimization plan.

[0015] The beneficial effects of the present invention are as follows: Improve system reliability: Through real-time fault risk assessment and degradation assessment, the health status of the underwater production system can be monitored, which significantly improves system reliability and reduces the risk of production interruption.

[0016] Optimize equipment utilization: Dynamic rotation of redundant electric submersible pumps ensures efficient utilization of working pumps and standby pumps, avoids excessive wear of equipment, and reduces the possibility of production stagnation.

[0017] Improve production efficiency: Through the optimization of production plans, achieve optimal management of oil field development and improve production efficiency and resource utilization benefits.

[0018] Reduce production costs: The multi-objective collaborative optimization model comprehensively considers maximizing output, minimizing maintenance costs, and minimizing production energy consumption, effectively reducing production costs.

[0019] Realize intelligent management: The entire system realizes intelligent management, ensuring safe and efficient oil and gas production through real-time monitoring, evaluation and optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a flow chart of a steady-state real-time collaborative optimization method for an offshore oil underwater production system; Figure 2 It is a failure risk assessment method for subsea production systems; Figure 3 It is a method for dynamic rotation of active and standby redundant electric submersible pumps; Figure 4It is an optimization flow chart based on genetic-particle swarm optimization algorithm; Figure 5 is a schematic diagram of the underwater production system; Figure 6 It is a schematic diagram of the steady-state real-time collaborative optimization system of the offshore oil underwater production system.

[0021] In the figure, 101, main control station, 102, emergency shutdown device, 103, workstation, 104, hydraulic power unit, 105, electric power unit, 106, uninterruptible power supply, 107, umbilical cable, 108, underwater distribution unit, 109, first underwater control module, 110, second underwater control module, 111, third underwater control module, 112, fourth underwater control module, 113, fifth underwater control module, 114, sixth underwater control module, 115, seventh underwater control module, 116, eighth underwater control module, 117, first underwater Christmas tree, 118, 8. Second underwater Christmas tree, 119. Third underwater Christmas tree, 120. Fourth underwater Christmas tree, 121. Fifth underwater Christmas tree, 122. Sixth underwater Christmas tree, 123. Seventh underwater Christmas tree, 124. Eighth underwater Christmas tree, 125. Central manifold, 126. Offshore crude oil production equipment, 127. First electric submersible pump, 128. Second electric submersible pump, 129. Third electric submersible pump, 130. Fourth electric submersible pump, 131. Fifth electric submersible pump, 132. Sixth electric submersible pump, 133. Seventh electric submersible pump, 134. Eighth electric submersible pump, 201. Steady state of offshore oil underwater production system Real-time collaborative optimization system, 202, underwater production system health status assessment subsystem, 203, water component data acquisition module, 204, underwater oil tree data acquisition module, 205, electric submersible pump data acquisition module, 206, underwater production system failure risk assessment module, 207, electrical component data acquisition module, 208, mechanical component data acquisition module, 209, hydraulic system data acquisition module, 210, underwater production system degradation assessment module, 211, underwater production system health status assessment module, 212, redundant electric submersible pump active and standby dynamic rotation subsystem, 213, working pump Data acquisition module, 214, standby pump data acquisition module, 215, working pump health status assessment module, 216, main and standby pump automatic rotation module, 217, main and standby pump manual switching module, 218, underwater production system production plan evaluation subsystem, 219, output evaluation module, 220, energy consumption evaluation module, 221, underwater production system health evaluation module, 222, production plan comprehensive evaluation module, 223, underwater production system multi-objective collaborative optimization subsystem, 224, multi-objective optimization module, 225, production optimization plan execution module, 226, optimization effect feedback module. DETAILED DESCRIPTION

[0022] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0023] Embodiment 1: like Figure 1 As shown in the figure, the steady-state real-time collaborative optimization method of offshore oil underwater production system includes four major steps: underwater production system health status assessment, redundant electric submersible pump active-standby dynamic rotation model establishment, underwater production system production plan evaluation and underwater production system multi-objective collaborative optimization model establishment.

[0024] The specific steps of subsea production system health status assessment are: S101: Obtain the sensor parameters and production parameters of the underwater production system. Through signal processing, the underwater production system fault symptom layer S1, S2, ... Sb, C1, C2, ... Cc, A1, A2, ... At states are obtained, and the corresponding states are S1(s1), S2(s2), ... Sb(sb), C1(c1), C2(c2), ... Cc(cc), A1(a1), A2(a2), ... At(at), where S1, S2, ... Sb represent the underwater sensor states of the underwater production system, and their values ​​are obtained from the workstation 103, C1, C2, ... Cc represent the underwater Christmas tree sensor data of the underwater production system, and their values ​​are obtained from the workstation 103, and A1, A2, ... At represent the submersible pump sensor data of the underwater production system, and their values ​​are obtained from the workstation 103. Obtain the production parameter oil and gas production Yt, and its value is obtained from the workstation 103.

[0025] S102: Figure 2 As shown, the failure risk of the subsea production system is calculated.

[0026] ① Calculate the failure probability of the above-water components of the underwater production system. The method for solving the failure probability of the above-water components Ux (x=1, 2,…, u) is as follows: ; Among them, P(Ux|S1(s1), S2(s2), …Sb(sb)) represents the failure probability of Ux of the underwater component when the state of the underwater sensor of the underwater production system is known to be S1(s1), S2(s2), …Sb(sb), and this value is obtained by formula calculation, P(S1(s1), S2(s2), …Sb(sb)|Ux) represents the probability that the state of the underwater sensor of the underwater production system is S1(s1), S2(s2), …Sb(sb) when the above-water component Ux fails, and this value is obtained through expert decision, P(Ux) represents the failure probability of the above-water component Ux, and this value is obtained through expert decision, P(S1(s1)), P(S2(s2)), …P(Sb(sb)) respectively represent the probabilities that the above-water sensors of the underwater production system are in S1(s1), S2(s2), …Sb(sb), and this value is obtained through expert decision.

[0027] ② Determine the fault status of the above-water components of the underwater production system. When P(Ux|S1(s1), S2(s2), …Sb(sb))>=75%, it is considered that the corresponding component is faulty.

[0028] ③ Calculate the failure probability of the underwater Christmas tree in the underwater production system. The method for solving the failure probability of the underwater Christmas tree Tx (x=1, 2,…, m) is as follows: ; Wherein, P(Tx|C1(c1), C2(c2), …Cc(cc)) represents the failure probability of underwater tree Tx when the underwater tree sensor status of the underwater production system is known to be C1(c1), C2(c2), …Cc(cc), and this value is obtained by formula calculation, P(C1(c1), C2(c2), …Cc(cc)|Tx) represents the probability that the underwater tree sensor status of the underwater production system is C1(c1), C2(c2), …Cc(cc) when the underwater tree Tx fails, and this value is obtained by expert decision, P(Tx) represents the failure probability of underwater tree Tx, and this value is obtained by expert decision, P(C1(c1)), P(C2(c2)), …P(Cc(cc)) respectively represent the probabilities that the underwater tree sensor of the underwater production system is in C1(c1), C2(c2), …Cc(cc), and this value is obtained by expert decision.

[0029] ④ Determine the fault status of the underwater production system’s subsea Christmas tree. When P(Tx|C1(c1), C2(c2), …Cc(cc))>=75%, it is considered that the corresponding subsea Christmas tree is faulty.

[0030] ⑤ Calculate the failure probability of the submersible pump in the underwater production system. The method for solving the failure probability of the submersible pump Px (x=1, 2,…, a) is as follows: ; Among them, P(Px|A1(a1), A2(a2), …At(at)) represents the failure probability of the submersible pump Px when the state of the submersible pump sensor of the underwater production system is known to be A1(a1), A2(a2), …At(at). This value is obtained by formula calculation. P(A1(a1), A2(a2), …At(at)|Px) represents the probability that the state of the submersible pump sensor of the underwater production system is A1(a1), A2(a2), …At(at) when the submersible pump Px fails. This value is obtained through expert decision-making. P(Px) represents the failure probability of the submersible pump Px. This value is obtained through expert decision-making. P(A1(a1)), P(A2(a2)), …P(At(at)) respectively represent the probabilities that the submersible pump sensors of the underwater production system are in A1(a1), A2(a2), …At(at). This value is obtained through expert decision-making.

[0031] ⑥ Determine the fault status of the submersible pump in the underwater production system. When P(Px|A1(a1), A2(a2), …At(at))>=75%, it is considered that the corresponding submersible pump is faulty.

[0032] ⑦ Determine the fault status of the underwater production system. When any of the above-mentioned underwater production system surface components, underwater production system underwater oil production trees and underwater production system electric submersible pumps is determined to be faulty, the underwater production system is considered to be faulty; otherwise, the underwater production system is not faulty.

[0033] ⑧ Calculate the failure risk of the underwater production system. The failure risk of the underwater production system is calculated based on the failure probability and redundancy of the underwater production system's surface components, underwater production trees, and submersible pumps. R(Ux) represents the redundancy of the surface component Ux, which is obtained based on the specific structure of the underwater production system. If there is no spare component, the redundancy is 1. Similarly, R(Tx) represents the redundancy of the underwater production tree Tx, and R(Px) represents the redundancy of the submersible pump Px, which is obtained based on the specific structure of the underwater production system.

[0034] The method for calculating the fault risk of the above-water component Ux (x=1, 2,…, u) is as follows: ; Wherein, Risk(Ux) represents the failure risk of the above-water component Ux.

[0035] The method for calculating the failure risk of the underwater Christmas tree Tx (x=1, 2,…, m) is as follows: ; Wherein, Risk(Tx) represents the failure risk of the subsea Christmas tree Tx.

[0036] The method for solving the fault risk of electric submersible pump Px (x=1, 2,…, a) is as follows: ; Wherein, Risk(Px) represents the failure risk of the electric submersible pump Px.

[0037] The solution method for the failure risk of the underwater production system is as follows: ; Among them, RiskS represents the failure risk of the underwater production system, ωi (i=1, 2,…, n) represents the impact weight of component i in the underwater production system, =1, which is obtained through expert decision making. Riski represents the failure risk of component i, which is calculated according to the formula.

[0038] S103: Calculate the performance degradation degree of the underwater production system.

[0039] ① According to the sensor monitoring data of S101, the voltage, temperature, current and other electrical component parameters of the underwater production system are obtained, and the degradation degree of the electrical components Ex (x = 1, 2, ..., e) of the underwater production system is calculated based on the physical characteristics of the electrical components. The solution method for the degradation degree of the electrical components Ex (x = 1, 2, ..., e) of the underwater production system is as follows: ; Where D(Ex) represents the degradation degree of the electrical component Ex, D(Ex)∈[0,1], and function f represents the degradation model of the electrical component of the underwater production system, which is obtained by a data-driven method. V(Ex) represents the voltage measurement value of the electrical component Ex, T(Ex) represents the temperature measurement value of the electrical component Ex, I(Ex) represents the current measurement value of the electrical component Ex, and t is time.

[0040] ②According to the sensor monitoring data of S101, obtain the vibration parameters of the mechanical components.According to the regular maintenance records of the underwater production system, obtain the crack depth parameters of the mechanical components.Calculate the degradation degree of the mechanical components Mx (x=1, 2,…, m) of the underwater production system.The solution method for the degradation degree of the mechanical components Mx (x=1, 2,…, m) of the underwater production system is as follows: ; Where D(Mx) represents the degradation degree of mechanical component Mx, D(Mx)∈[0,1], function f represents the degradation model of mechanical components in the underwater production system, which is obtained by a data-driven method. V(Mx) represents the vibration measurement value of mechanical component Mx, C(Mx) represents the crack depth measurement value of mechanical component Ex, and t is time.

[0041] ③ Determine the degradation of the underwater production system. When any of the electrical components and mechanical components of the underwater production system is judged to be degraded and failed, the underwater production system is considered to have degraded and failed. Otherwise, the underwater production system has not degraded and failed.

[0042] ④ Calculate the performance degradation of the underwater production system. Calculate the performance degradation of the underwater production system according to the degradation degree of the electrical components and mechanical components of the underwater production system. The solution method for the performance degradation of the underwater production system is as follows: ; Where DS represents the performance degradation of the underwater production system. ωx (x = 1, 2, …, e) represents the influence weight of the electrical component Ex in the underwater production system, which is obtained through expert decision-making. λi (i = 1, 2, …, m) represents the influence weight of the mechanical component Mi in the underwater production system, which is obtained through expert decision-making. D(Ex) represents the degradation degree of the electrical component Ex, and D(Mi) represents the degradation degree of the mechanical component Mi. The values ​​are calculated according to the formula.

[0043] S104: Calculate the underwater production system health index. Calculate the underwater production system health index based on the underwater production system failure risk and the underwater production system performance degradation degree and their importance to the underwater production system health status. The solution method for the underwater production system health index is as follows: ; ; ; Among them, ReS represents the reliability of the underwater production system, DR represents the performance index of the underwater production system, HI represents the health index of the underwater production system, and µ1 and µ2 are the influence weights of the reliability and performance index, respectively, which are obtained through expert decision-making.

[0044] When HI∈(0.8,1], the underwater production system is considered to be in good health; when HI∈(0.65,0.8], the underwater production system is considered to be in sub-healthy state; when HI∈(0.5,0.65], the underwater production system is considered to be in poor health; when HI∈[0,0.5], the underwater production system is considered to be in poor health.

[0045] like Figure 3 As shown in the figure, the specific steps of establishing the active-standby dynamic rotation model of redundant electric submersible pumps are as follows: S201: Monitoring of operating parameters of the working electric submersible pump. Real-time monitoring of operating parameters of the working electric submersible pump, such as motor temperature, flow, vibration, pressure, current, and speed.

[0046] S202: Calculation of degradation degree of working submersible pump. Impeller is a key component of submersible pump, and impeller erosion and wear is the main degradation process of submersible pump. Based on ANSYS software, a finite element simulation model is built to simulate the erosion and wear of submersible pump impeller. The solution method for the erosion and wear rate of submersible pump impeller is as follows: ; Among them, fe represents the motor frequency, Y represents the corresponding single well daily production, and Er represents the impeller erosion wear rate, with the unit of ×10-8kg·m-2·s-1. a0~a5 are equation coefficients, and the values ​​of a0~a5 are -0.2528, 9.515×10-3, -1.544×10-5, -4.594×10-5, 8.956×10-7, and 8.107×10-9, respectively. The values ​​are obtained through simulation experiments.

[0047] According to the historical motor frequency and the historical daily production of the corresponding single well, the wear amount of the impeller of the submersible pump is calculated as shown in the following formula.

[0048] ; Where W is the amount of impeller wear, A is the impeller surface area, and t is the pump operating time.

[0049] The degradation degree of the working ESP is evaluated according to the impeller wear of the working ESP, as shown in the following formula.

[0050] ; Wherein, D(Pwork) represents the degradation degree of the working ESP, and Wmax represents the maximum wear of the impeller, which is determined by the design parameters.

[0051] S203: Health status assessment of the working submersible pump. Calculate the fault risk of the working submersible pump based on the real-time monitoring data of S201. Obtain the degradation degree of the working submersible pump based on S202. The solution method for the health index of the submersible pump is as follows: ; ; ; ; ; Among them, P(Pwork|A1(a1), A2(a2), …At(at)) represents the failure probability of the working submersible pump Pwork when the state of the submersible pump sensor in the underwater production system is known to be A1(a1), A2(a2), …At(at). This value is obtained by calculating the formula. P(A1(a1), A2(a2), …At(at)|Pwork) represents the probability that the sensor state is A1(a1), A2(a2), …At(at) when the working submersible pump Pwork fails. This value is obtained through expert decision-making. P(Pwork) represents the failure probability of the working submersible pump Pwork. This value is obtained through expert decision-making. P(A1(a1)), P(A2(a2)), …P(At(at)) respectively represent the probabilities that the working submersible pump sensor is in A1(a1), A2(a2), …At(at). This value is obtained through expert decision-making. Risk(Pwork) represents the failure risk of the working submersible pump Pwork, R(Pwork) represents the redundancy of the working submersible pump Pwork, and its value is 2. Re(Pwork) represents the reliability of the working submersible pump Pwork, DR(Pwork) represents the performance index of the working submersible pump Pwork, HI(Pwork) represents the health index of the working submersible pump Pwork, and µ1 and µ2 are the influence weights of the reliability and performance index, respectively, which are obtained through expert decision-making.

[0052] S204: The main and standby pump switching strategy is triggered. When the dual submersible pump system is in good health, the working submersible pump and the standby submersible pump are regularly rotated, and the rotation cycle is generally 1-3 months. Based on the submersible pump health status assessment results of S202, it is determined whether emergency switching of the main and standby pumps is required. When HI (Pwork) ≤ 0.65, the working submersible pump and the standby submersible pump are switched.

[0053] S205: Switching between the main and standby pumps. According to the main and standby pump switching rules set in S203, when the main and standby pump switching conditions are met, the system automatically starts the standby pump and shuts down the currently working submersible pump. If the automatic switching fails, the operator manually switches to the standby pump.

[0054] S206: Standby pump startup test. First, run the pump without load to check the motor status, vibration, noise, etc. to ensure that the standby pump starts smoothly and without abnormalities. Apply load gradually to test the performance of the standby pump in the actual working environment to ensure that the standby pump can operate stably within the specified working pressure, flow and power range.

[0055] S207: The standby pump is put into operation and becomes the new working pump. The operating parameters of the working pump are recorded to provide data support for subsequent analysis and maintenance.

[0056] The specific steps of the production plan evaluation of the subsea production system are: S301: Based on the ratio of the current oil and gas production Yt to the target oil and gas production Ym, determine the production target score SY of the current production plan, SY∈[0,50]. The method for solving the production target score SY is as follows: ; S302: Based on the actual energy consumption of the current production plan and the target energy consumption of the oil field, the energy consumption of the current production plan is scored based on expert experience to obtain an energy consumption score SE, SE∈[0,20].

[0057] S303: Based on the underwater production system health index result of S104, obtain the underwater production system health index score SHI, SHI = 30×HI∈[0,30].

[0058] S304: The comprehensive score S of the production plan is obtained by summing the output target score SY, the energy consumption score SE, and the system health index score SHI, S∈[0,100].

[0059] S305: Triggering of the production plan adjustment strategy. Based on the underwater production system failure risk assessment method in S102, the underwater production system is evaluated for failure risk. Based on the underwater production system performance degradation assessment in S103, it is determined whether the underwater production system has experienced degradation failure. Based on expert experience analysis, it is determined whether immediate shutdown or maintenance is required. Based on the production plan evaluation results in S304, it is determined whether the production plan needs to be adjusted. When the following production plan adjustment conditions are met, the production plan adjustment strategy is automatically triggered to formulate a targeted adjustment plan.

[0060] ① When the production target score SY is lower than 40 points, the production increase strategy is initiated, including optimizing the configuration of production facilities, increasing operation time, improving oil production technology or optimizing oil and gas separation process to increase the overall production level.

[0061] ② When the energy consumption score SE is lower than 12 points, energy consumption reduction strategies are initiated, including replacing more efficient equipment, optimizing control systems, improving operating parameters, etc., so as to reduce energy consumption in the production process.

[0062] ③ When the SHI score of the subsea production system is lower than 21 points, the health index recovery strategy is initiated, including overhauling key equipment, replacing worn parts, and shortening maintenance cycles to ensure the long-term health and operating efficiency of the equipment.

[0063] ④ When the comprehensive score S of the production plan of the underwater production system is lower than 75 points, an early warning is activated and the production plan is immediately checked and adjusted.

[0064] The specific steps for establishing the multi-objective collaborative optimization model of the underwater production system are as follows: S301: Establishment of multi-objective optimization model. A multi-objective optimization model of the underwater production system is established based on the genetic-particle swarm optimization algorithm, and a dynamic optimization strategy for the underwater production system integrating health perception is established.

[0065] ① Objective function setting: The multi-optimization objectives of the underwater production system are established as maximizing output, minimizing maintenance costs, and minimizing production energy consumption, and the corresponding objective functions are constructed.

[0066] The single-well production of the underwater production system is related to factors such as the formation production capacity, the regulation characteristics of the electric submersible pump, and the water content of the oil well. It is also restricted by the tubing back pressure and the nozzle throttling.

[0067] The expression of daily production of a single well is: ; Among them, Q(Wi) represents the daily liquid production of well Wi; function f represents the single well production calculation model of the underwater production system, which is obtained by a data-driven method. Pin(Wi) represents the inlet pressure of the electric submersible pump of well Wi; fe(Wi) represents the motor frequency of the electric submersible pump of well Wi; Rc(Wi) represents the nozzle opening of well Wi; Pout(Wi) represents the outlet pressure of the electric submersible pump of well Wi; fw(Wi) represents the water content of the oil well of well Wi.

[0068] The annual production capacity of the oil well is measured. Assuming that the formation production capacity is constant and the underwater production system maintains stable production, the objective function of maximizing production can be expressed as: ; Among them, f1 represents the sum of oil and gas production of the underwater production system, and w represents the total number of wells.

[0069] The maintenance cost of a subsea production system is usually related to the equipment operating status, maintenance cycle, maintenance cost, and health index (HI) of the subsea production system, including basic regular maintenance cost C0, maintenance cost CM, and downtime loss cost CP. The basic regular maintenance cost C0 is related to the maintenance cycle, as shown in the following formula: ; Among them, Cbase represents the basic cost when the maintenance cycle is per unit time, and the unit time is generally 1 year. Tm represents the maintenance cycle, and k is a constant, which represents the rate of increase of maintenance cost per unit time when the maintenance cycle is shortened.

[0070] In order to quantify the maintenance cost, it is assumed that the average cost of a single maintenance is 1.2 million yuan. The solution to the maintenance cost CM is as follows: ; Among them, cm represents the number of maintenance times per unit time, which is obtained through on-site maintenance records in the oil field.

[0071] The downtime loss cost CP is the production loss during the downtime. In order to quantify the production loss, the oil tree flow in the subsea production system is assumed to be constant during the downtime, and the average daily oil production value of the subsea production system is about 1.0232 million yuan. The total downtime is the sum of the maintenance time of each component. The average downtime of a single subsea production system may be between 3-10 days in general, and may be longer in complex situations.

[0072] ; Among them, tP represents the total downtime per unit time, which is obtained through the on-site production records of the oil field.

[0073] The objective function of minimizing maintenance cost can be expressed as: ; Among them, f2 represents the maintenance cost of the underwater production system per unit time.

[0074] The energy consumption of a single well mainly considers the power consumption of the electric submersible pump, and its expression is: ; Among them, PW(Wi) represents the single well energy consumption of well Wi, in kW; PESP(Wi) represents the energy consumption of the electric submersible pump of well Wi, in kW; Q(Wi) represents the liquid production of well Wi; ρ(Wi) represents the well flow density of well Wi, in g / cm3; η(Wi) represents the system efficiency of the electric submersible pump unit of well Wi, in %; ae, be, ce represent the characteristic curve characteristic parameters of the electric submersible pump of well Wi at the rated frequency, and the values ​​are obtained according to experiments; Rf(Wi) represents the ratio of the electric submersible pump motor frequency of the current well Wi to the rated frequency.

[0075] The objective function of minimizing production energy consumption can be expressed as: ; Among them, f3 represents the sum of the production energy consumption of the underwater production system.

[0076] ② Constraint definition: Define production demand constraints, maintenance cycle constraints, and equipment performance constraints, as shown below: ; ; ; Wherein, Qset(Wi) represents the set production target of well Wi, Tm represents the maintenance cycle, and fe(Wi) represents the motor frequency of the submersible pump of well Wi.

[0077] ③ Optimization model initialization and parameter setting: Optimization model based on genetic-particle swarm optimization algorithm, such as Figure 4 As shown, the optimization process is: 1) Generate random initial population and particle swarm; 2) Evaluate the solutions of the population and particle swarm using the same fitness function; 3) GA: performs selection, crossover, and mutation operations on the population; PSO: updates the speed and position of particles; 4) GA-PSO information interaction: introduce excellent individuals in the population into the particle swarm; 5) Sort and select particles through non-dominated sorting and crowding calculation; 6) Determine the termination of the iteration, if not, return to step 2), if yes, output the optimal particle set.

[0078] ④ Optimization process execution: Execute the genetic-particle swarm optimization algorithm, perform genetic operations and particle swarm updates, and perform iterative calculations under the multi-objective optimization framework.

[0079] ⑤ Evaluation and screening of optimization results: Use the Pareto frontier method to analyze all optimization results and select the optimal solution set.

[0080] S302: Optimization and execution of production plan: Based on the optimization result of S303, a final optimization plan is selected and the optimized production plan is executed.

[0081] S303: Feedback on optimization results and model update. After the optimized production plan is executed for a period of time, feedback on the optimization results is provided to evaluate the output, maintenance costs, and production energy consumption after implementation. Based on the evaluation results, the parameters and target settings in the optimization model are adjusted to carry out the next round of optimization, forming a closed-loop optimization process.

[0082] Embodiment 2: like Figure 5As shown, the underwater production system includes a main control station 101, an emergency shutdown device 102, a workstation 103, a hydraulic power unit 104, an electric power unit 105, an uninterruptible power supply 106, an umbilical cable 107, a underwater distribution unit 108, a first underwater control module 109, a second underwater control module 110, a third underwater control module 111, a fourth underwater control module 112, a fifth underwater control module 113, a sixth underwater control module 114, a seventh underwater control module 115, an eighth underwater control module 116, a first underwater Christmas tree 117, a second underwater Christmas tree 118, a third underwater Christmas tree 119, a fourth underwater Christmas tree 120, a fifth underwater Christmas tree 121, a sixth underwater Christmas tree 122, A seventh underwater Christmas tree 123, an eighth underwater Christmas tree 124, a central manifold 125, an offshore crude oil production equipment 126, a first electric submersible pump 127, a second electric submersible pump 128, a third electric submersible pump 129, a fourth electric submersible pump 130, a fifth electric submersible pump 131, a sixth electric submersible pump 132, a seventh electric submersible pump 133 and an eighth electric submersible pump 134; wherein the main control station 101 is connected to the hydraulic power unit 104 and the electric power unit 105 through cables, and is used to control the overall operation of the underwater production system and monitor data collection; the emergency shutdown device 102 is connected to the main control station 101 through cables, and is used for emergency shutdown of the underwater production system; the workstation 103 is connected to the main control station 101 through cables, and is used to store monitoring data of the underwater production system; The hydraulic power unit 104 is connected to the umbilical cable 107 through a hydraulic pipeline to provide high-pressure and low-pressure oil for the well. The electric power unit 105 is connected to the umbilical cable 107 through two cables to provide electricity and communication for the well. The uninterruptible power supply 106 is connected to the electric power unit 105 through a cable to provide electric drive for the underwater production system. The umbilical cable 107 is connected to the underwater distribution unit 108 through a hydraulic pipeline and two cables to transmit hydraulic pressure, electricity, and communication. The underwater distribution unit 108 is connected to the first underwater control module 109, the second underwater control module 110, the third underwater control module 111, the fourth underwater control module 112, the fifth underwater control module 113, and the sixth underwater control module 114 through cables. The first underwater control module 109 is connected to the first underwater Christmas tree 117 through a cable, and is used to control and monitor the first underwater Christmas tree 117; the second underwater control module 110 is connected to the second underwater Christmas tree 118 through a cable, and is used to control and monitor the second underwater Christmas tree 118; the third underwater control module 111 is connected to the third underwater Christmas tree 119 through a cable, and is used to control and monitor the third underwater Christmas tree 119; the fourth underwater control module 112 is connected to the fourth underwater Christmas tree 120 through a cable, and is used to control and monitor the fourth underwater Christmas tree 120;The fifth underwater control module 113 is connected to the fifth underwater Christmas tree 121 through a cable, and is used to control and monitor the fifth underwater Christmas tree 121; the sixth underwater control module 114 is connected to the sixth underwater Christmas tree 122 through a cable, and is used to control and monitor the sixth underwater Christmas tree 122; the seventh underwater control module 115 is connected to the seventh underwater Christmas tree 123 through a cable, and is used to control and monitor the seventh underwater Christmas tree 123; the eighth underwater control module 116 is connected to the eighth underwater Christmas tree 124 through a cable, and is used to control and monitor the eighth underwater Christmas tree The first underwater Christmas tree 117 is connected to the first electric submersible pump 127 through a hydraulic pipeline to control the oil and gas production circuit of the first electric submersible pump 127; the second underwater Christmas tree 118 is connected to the second electric submersible pump 128 through a hydraulic pipeline to control the oil and gas production circuit of the second electric submersible pump 128; the third underwater Christmas tree 119 is connected to the third electric submersible pump 129 through a hydraulic pipeline to control the oil and gas production circuit of the third electric submersible pump 129; the fourth underwater Christmas tree 120 is connected to the fourth electric submersible pump 130 through a hydraulic pipeline to control The oil and gas production circuit of the fourth electric submersible pump 130; the fifth underwater oil production tree 121 is connected to the fifth electric submersible pump 131 through a hydraulic pipeline, which is used to control the oil and gas production circuit of the fifth electric submersible pump 131; the sixth underwater oil production tree 122 is connected to the sixth electric submersible pump 132 through a hydraulic pipeline, which is used to control the oil and gas production circuit of the sixth electric submersible pump 132; the seventh underwater oil production tree 123 is connected to the seventh electric submersible pump 133 through a hydraulic pipeline, which is used to control the oil and gas production circuit of the seventh electric submersible pump 133; the eighth underwater oil production tree 124 is connected to the eighth electric submersible pump through a hydraulic pipeline 134 is connected to control the oil and gas production circuit of the eighth electric submersible pump 134; the central manifold 125 is connected to the offshore crude oil production equipment 126 through a hydraulic pipeline to transmit the produced oil and gas to the water; the offshore crude oil production equipment 126 is located on the water and is used to store and process the produced oil and gas; the first electric submersible pump 127, the second electric submersible pump 128, the third electric submersible pump 129, the fourth electric submersible pump 130, the fifth electric submersible pump 131, the sixth electric submersible pump 132, the seventh electric submersible pump 133 and the eighth electric submersible pump 134 are located below the seabed and are used for oil and gas production. ;

[0083] Embodiment three: like Figure 6 As shown, the steady-state real-time collaborative optimization system 201 of the offshore oil underwater production system includes an underwater production system health status assessment subsystem 202, a redundant electric submersible pump active-standby dynamic rotation subsystem 212, an underwater production system production plan evaluation subsystem 218, and an underwater production system multi-objective collaborative optimization subsystem 223.

[0084] The underwater production system health status assessment subsystem 202 includes an above-water component data acquisition module 203, an underwater oil production tree data acquisition module 204, an electric submersible pump data acquisition module 205, an underwater production system failure risk assessment module 206, an electrical component data acquisition module 207, a mechanical component data acquisition module 208, a hydraulic system data acquisition module 209, an underwater production system degradation assessment module 210 and an underwater production system health status assessment module 211; the above-water component data acquisition module 203 is connected to the workstation 103 through a cable, and is used to collect data from the main control station 101, the emergency shutdown device 102, the workstation 103, the hydraulic power unit 104, the electric power unit 105, the uninterruptible power supply 106, and the umbilical cord The subsea tree data acquisition module 204 is connected to the workstation 103 through a cable and is used to collect monitoring data of the first subsea control module 109, the second subsea control module 110, the third subsea control module 111, the fourth subsea control module 112, the fifth subsea control module 113, the sixth subsea control module 114, the seventh subsea control module 115, the eighth subsea control module 116, the first subsea tree 117, the second subsea tree 118, the third subsea tree 119, the fourth subsea tree 120, the fifth subsea tree 121, the sixth subsea tree 122, the seventh subsea tree 123 and the eighth subsea tree 124; the electric submersible pump data acquisition module 205 The module 206 is connected to the workstation 103 through cables and is used to collect monitoring data of the first submersible pump 127, the second submersible pump 128, the third submersible pump 129, the fourth submersible pump 130, the fifth submersible pump 131, the sixth submersible pump 132, the seventh submersible pump 133 and the eighth submersible pump 134; the subsea production system failure risk assessment module 206 is connected to the surface component data acquisition module 203, the subsea Christmas tree data acquisition module 204 and the submersible pump data acquisition module 205 through cables and is used for subsea production system failure risk assessment; the electrical component data acquisition module 207 is connected to the workstation 103 through cables and is used to collect monitoring data of the emergency shutdown device 102, the electric power unit 105 and the uninterruptible power supply 106; the mechanical The component data acquisition module 208 is connected to the workstation 103 via cables, and is used to collect monitoring data of mechanical components of the underwater production system; the hydraulic system data acquisition module 209 is connected to the workstation 103 via cables, and is used to collect monitoring data of the hydraulic power unit 104; the underwater production system degradation assessment module 210 is connected to the electrical component data acquisition module 207, the mechanical component data acquisition module 208, and the hydraulic system data acquisition module 209 via cables, and is used for underwater production system degradation assessment; the underwater production system health status assessment module 211 is connected to the underwater production system fault risk assessment module 206 and the underwater production system degradation assessment module 210 via cables, and is used to assess the overall health status of the underwater production system.

[0085] The redundant electric submersible pump active-standby dynamic rotation subsystem 212 includes a working pump data acquisition module 213, a standby pump data acquisition module 214, a working pump health status assessment module 215, an active-standby pump automatic rotation module 216 and an active-standby pump manual switching module 217; the working pump data acquisition module 213 and the standby pump data acquisition module 214 are connected to the workstation 103 through cables, and are used to collect monitoring data of the first electric submersible pump 127, the second electric submersible pump 128, the third electric submersible pump 129, the fourth electric submersible pump 130, the fifth electric submersible pump 131, the sixth electric submersible pump 132, the seventh electric submersible pump 133 and the eighth electric submersible pump 134; the working pump health status assessment module 215 is connected to the working pump data acquisition module 213 through cables, and is used to assess the health status of the working pump; the active-standby pump automatic rotation module 216 and the active-standby pump manual switching module 217 are connected to the main control station 101 through cables, and are used to switch the working pump and the standby pump.

[0086] The underwater production system production plan evaluation subsystem 218 includes a production evaluation module 219, an energy consumption evaluation module 220, an underwater production system health evaluation module 221 and a production plan comprehensive evaluation module 222; the production evaluation module 219 is connected to the workstation 103 through a cable, and is used to evaluate the production under the current production plan; the energy consumption evaluation module 220 is connected to the workstation 103 through a cable, and is used to evaluate the energy consumption under the current production plan; the underwater production system health evaluation module 221 is connected to the underwater production system health status assessment module 211 through a cable, and is used to quantify the health status of the underwater production system; the production plan comprehensive evaluation module 222 is connected to the production evaluation module 219, the energy consumption evaluation module 220, and the underwater production system health evaluation module 221 through a cable, and is used to comprehensively evaluate the current production plan.

[0087] The multi-objective collaborative optimization subsystem 223 of the underwater production system includes a multi-objective optimization module 224, a production optimization plan execution module 225 and an optimization effect feedback module 226; the multi-objective optimization module 224 is connected to the workstation 103 via cables, and is used to perform multi-objective optimization on the underwater production system and generate a production optimization plan; the production optimization plan execution module 225 is connected to the main control station 101 and the multi-objective optimization module 224 via cables, and is used to execute the production optimization plan; the optimization effect feedback module 226 is connected to the multi-objective optimization module 224 via cables, and is used to feedback the optimization effect of the production optimization strategy.

[0088] During the operation of the underwater production system, the underwater production system health status assessment subsystem 202 assesses the health status of each module of the underwater production system based on the monitoring data of the workstation 103; the redundant submersible pump active-standby dynamic rotation subsystem 212 assesses the health status of each submersible pump based on the monitoring data of the workstation 103, and realizes the dynamic switching of the working submersible pump and the standby submersible pump; the underwater production system production plan evaluation subsystem 218 evaluates the current production plan based on the monitoring data of the workstation 103; the underwater production system multi-objective collaborative optimization subsystem 223 optimizes the production plan of the underwater production system based on the monitoring data of the workstation 103; the offshore oil underwater production system steady-state real-time collaborative optimization system 201 is connected to the main control station 101 through a cable, and is used to provide health information of the underwater production system, dynamic switching information of redundant submersible pumps and production plan optimization information, and relevant personnel extract information to formulate production optimization plans to ensure the safety of oil and gas production, further increase oil and gas production and reduce energy consumption.

[0089] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A steady-state real-time collaborative optimization method for an offshore oil underwater production system, characterized in that: The steps include: Conduct health status assessment of subsea production systems; When the subsea production system has a redundant electric submersible pump system, performing steps of dynamically rotating the working electric submersible pump and the standby electric submersible pump; Evaluate the production plan of the underwater production system to determine whether the current production plan needs to be adjusted; When the production plan adjustment conditions are met, the multi-objective collaborative optimization steps of the underwater production system are executed; The steps of multi-objective collaborative optimization of the underwater production system include: Taking the maximization of production, minimization of maintenance costs and minimization of production energy consumption as the optimization objectives, a multi-objective optimization function is constructed, and a multi-objective optimization model of the underwater production system is established based on the genetic particle swarm optimization algorithm; Solve the multi-objective optimization problem and select the optimal production plan according to the optimal solution set; Adjusting production parameters of the underwater production system according to the optimal production plan; After executing the optimal production plan for a period of time, the optimization results are fed back, and based on the feedback results, the multi-objective optimization model of the underwater production system is optimized.

2. According to claim 1, a method for steady-state real-time collaborative optimization of an offshore oil underwater production system is characterized in that: The specific steps of conducting the health status assessment of the subsea production system include: Obtain the sensor parameters and production parameters of the underwater production system, and obtain the real-time production status of the underwater production system through signal processing; Calculate the risk of failure of subsea production systems; Calculate the performance degradation of subsea production systems; The underwater production system health index is calculated based on the failure risk degree of the underwater production system, the performance degradation degree of the underwater production system and their importance to the health status of the underwater production system.

3. According to claim 2, a method for steady-state real-time collaborative optimization of an offshore oil underwater production system is characterized in that: It also includes the steps for switching the standby ESP: When the conditions for switching between the main and standby pumps are met, the system automatically starts the standby pump and shuts down the currently working submersible pump; if the automatic switch fails, the operator manually switches to the standby pump; Conduct a startup test on the standby pump: first run the pump at no load, check the motor status, vibration and noise, and ensure that the standby pump starts smoothly and without abnormalities; gradually apply the load to test the performance of the standby pump in the actual working environment, and ensure that the standby pump can operate stably within the specified working pressure, flow and power range; The standby pump is put into operation and becomes the new working pump; the operating parameters of the working pump are recorded to provide data support for subsequent analysis and maintenance.

4. According to claim 3, a method for steady-state real-time collaborative optimization of an offshore oil underwater production system is characterized in that: The specific steps of the underwater production system production plan evaluation include: According to the ratio of current oil and gas production to target oil and gas production, the production target score SY of the current production plan is determined; According to the actual energy consumption of the current production plan and the target energy consumption of the oil field, the energy consumption of the current production plan is scored based on expert experience to obtain the energy consumption score SE; Based on the underwater production system health index results, the underwater production system health index score SHI is obtained; The comprehensive score S of the production plan is obtained by summing the output target score SY, energy consumption score SE, and system health index score SHI, S∈[0,100]; When the following production plan adjustment conditions are met, the production plan adjustment strategy is automatically triggered and a targeted adjustment plan is formulated: When the production target score SY is lower than 40 points, the production increase strategy is initiated; When the energy consumption score SE is lower than 12 points, the energy consumption reduction strategy is initiated; When the underwater production system health index score SHI is lower than 21 points, the health index recovery strategy is initiated; When the comprehensive score S of the production plan of the underwater production system is lower than 75 points, an early warning is activated and the production plan is immediately checked and adjusted.

5. According to claim 4, a method for steady-state real-time collaborative optimization of an offshore oil underwater production system is characterized in that: The above-water component data acquisition module of the underwater production system health status assessment subsystem is connected to the workstation via a cable and is used to collect monitoring data of the main control station, the emergency shutdown device, the workstation, the hydraulic power unit, the electric power unit, the uninterruptible power supply, and the umbilical cable; The underwater tree data acquisition module is connected to the workstation via a cable, and is used to collect monitoring data of the first underwater control module, the second underwater control module, the third underwater control module, the fourth underwater control module, the fifth underwater control module, the sixth underwater control module, the seventh underwater control module, the eighth underwater control module, the first underwater tree, the second underwater tree, the third underwater tree, the fourth underwater tree, the fifth underwater tree, the sixth underwater tree, the seventh underwater tree, and the eighth underwater tree; The electric submersible pump data acquisition module is connected to the workstation through a cable, and is used to collect monitoring data of the first electric submersible pump, the second electric submersible pump, the third electric submersible pump, the fourth electric submersible pump, the fifth electric submersible pump, the sixth electric submersible pump, the seventh electric submersible pump, and the eighth electric submersible pump; The underwater production system failure risk assessment module is connected to the surface component data acquisition module, the underwater oil tree data acquisition module, and the electric submersible pump data acquisition module through cables, and is used for underwater production system failure risk assessment; The electrical component data acquisition module is connected to the workstation via cables and is used to collect monitoring data of the emergency shutdown device, electric power unit, and uninterruptible power supply; The mechanical component data acquisition module is connected to the workstation via cables and is used to collect monitoring data of mechanical components of the underwater production system; The hydraulic system data acquisition module is connected to the workstation via a cable and is used to collect monitoring data of the hydraulic power unit; The underwater production system degradation assessment module is connected to the electrical component data acquisition module, the mechanical component data acquisition module, and the hydraulic system data acquisition module through cables, and is used for underwater production system degradation assessment; The underwater production system health status assessment module is connected to the underwater production system fault risk assessment module and the underwater production system degradation assessment module through cables, and is used to assess the overall health status of the underwater production system.

6. A steady-state real-time collaborative optimization system for an offshore oil underwater production system, characterized in that: The system comprises: The subsea production system health status assessment subsystem is used to assess the health status of the subsea production system; Redundant submersible pump active / standby dynamic rotation subsystem, used to realize dynamic rotation between working submersible pump and standby submersible pump; The subsea production system production plan evaluation subsystem is used to evaluate the current production plan; The underwater production system multi-objective collaborative optimization subsystem is used to perform multi-objective collaborative optimization on the underwater production system; The multi-objective collaborative optimization subsystem of the underwater production system includes: Multi-objective optimization module, used to perform multi-objective optimization on the underwater production system and generate production optimization solutions; A production optimization plan execution module is used to execute the production optimization plan; The optimization effect feedback module is used to feedback the optimization effect of the production optimization plan.

7. The steady-state real-time collaborative optimization system for an offshore oil underwater production system according to claim 6 is characterized in that: The subsea production system health status assessment subsystem includes: The above-water component data collection module is used to collect monitoring data of above-water components; An underwater Christmas tree data collection module is used to collect monitoring data of underwater Christmas trees; Electric submersible pump data acquisition module, used to collect monitoring data of electric submersible pump; Subsea production system failure risk assessment module, used to assess the failure risk of the subsea production system; An electrical component data acquisition module is used to collect monitoring data of electrical components; Mechanical component data acquisition module, used to collect monitoring data of mechanical components; Hydraulic system data acquisition module, used to collect monitoring data of the hydraulic system; Subsea production system degradation assessment module, used to assess the degradation degree of the subsea production system; The underwater production system health status assessment module is used to assess the overall health status of the underwater production system.

8. The steady-state real-time collaborative optimization system for an offshore oil underwater production system according to claim 7 is characterized in that: The redundant electric submersible pump active / standby dynamic rotation subsystem comprises: Working pump data acquisition module, used to collect monitoring data of the working pump; A standby pump data acquisition module is used to collect monitoring data of the standby pump; A working pump health status assessment module is used to assess the health status of the working pump; The main and standby pump automatic rotation module is used to automatically switch the working pump and the standby pump; The main and standby pump manual switching module is used to manually switch the working pump and the standby pump.

9. The steady-state real-time collaborative optimization system for an offshore oil underwater production system according to claim 8, characterized in that: The underwater production system production plan evaluation subsystem includes: The yield evaluation module is used to evaluate the yield under the current production plan; Energy consumption evaluation module, used to evaluate the energy consumption under the current production plan; Subsea production system health assessment module, used to quantify the health status of the subsea production system; The production plan comprehensive evaluation module is used to comprehensively evaluate the current production plan.

10. The steady-state real-time collaborative optimization system for an offshore oil underwater production system according to claim 9, characterized in that: The multi-objective collaborative optimization subsystem of the underwater production system includes: Multi-objective optimization module, used to perform multi-objective optimization on the underwater production system and generate production optimization solutions; A production optimization plan execution module is used to execute the production optimization plan; The optimization effect feedback module is used to feedback the optimization effect of the production optimization plan.

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