CN113700458A

CN113700458A - Energy consumption optimization method and device for oilfield water injection system

Info

Publication number: CN113700458A
Application number: CN202010442307.2A
Authority: CN
Inventors: 朱景义; 吴浩; 解红军; 吕莉莉; 魏江东; 徐英俊; 陈由旺
Original assignee: Petrochina Co Ltd
Current assignee: Petrochina Co Ltd
Priority date: 2020-05-22
Filing date: 2020-05-22
Publication date: 2021-11-26
Anticipated expiration: 2040-05-22
Also published as: CN113700458B

Abstract

The application provides an energy consumption optimization method and device for an oil field water injection system, and belongs to the field of oil fields. The method comprises the following steps: simplifying a plurality of first water injection nodes included in a first oilfield water injection system to be optimized to obtain a plurality of second water injection nodes; determining a plurality of water injection base rings consisting of a plurality of water injection pipelines; determining a second oilfield flooding system consisting of a plurality of flooding base rings; establishing an energy consumption optimization model of the second oil field water injection system by taking the operation parameters of each water injection pump included in the second water injection nodes as variables and taking the total energy consumption of the second oil field water injection system as the lowest target; constructing an energy balance model of a second oilfield water injection system according to the flow in the water injection pipeline, performing analog simulation on the second oilfield water injection system through the energy balance model, and determining the operation parameters of each water injection pump meeting the energy consumption optimization model; due to the fact that the dimensionality of the energy balance model is reduced, the efficiency and the accuracy of energy consumption optimization of the oilfield water injection system are improved.

Description

Energy consumption optimization method and device for oilfield water injection system

Technical Field

The invention relates to the field of oil fields, in particular to an energy consumption optimization method and device for an oil field water injection system.

Background

At present, oil field flooding is one of important means for supplementing energy to stratum and improving recovery ratio in the oil field development process. Water with qualified quality can be injected into an oil layer from the water injection well through the oil field water injection system so as to maintain the pressure of the oil layer and realize oil field water injection. The oil field water injection system has huge energy consumption, which accounts for more than 40% of the total energy consumption in the oil field development process. Therefore, the energy consumption optimization of the oilfield flooding system has important significance for reducing the total energy consumption in the oilfield development process.

The oilfield water injection system comprises a water injection station, a water distribution station, a water injection well and a water injection pipe network; the water injection station, the water distribution room and the water injection well are connected through a water injection pipe network. In the related technology, a water injection station, a water distribution station and a water injection well are used as nodes, and an oil field water injection system is simulated by a node solving method.

However, because the number of dimensions of the nonlinear equation set established by the node solving method is equivalent to the number of nodes, when the number of nodes such as a water injection station, a water distribution station, a water injection well and the like in the oilfield water injection system is large, the number of dimensions of the nonlinear equation set established by the node solving method is large, so that the calculation time required for solving the energy consumption of the oilfield water injection system is long, and the efficiency is low.

Disclosure of Invention

The embodiment of the application provides an energy consumption optimization method and device for an oil field water injection system, which can shorten the calculation time for solving the energy consumption of the oil field water injection system and improve the energy consumption optimization efficiency of the oil field water injection system. The technical scheme is as follows:

in one aspect, the application provides an energy consumption optimization method for an oilfield flooding system, the method comprising:

simplifying a plurality of first water injection nodes included in a first oilfield water injection system to be optimized to obtain a plurality of second water injection nodes;

determining a plurality of water injection base rings formed by the plurality of water injection pipelines according to the plurality of water injection pipelines connected with the plurality of second water injection nodes;

determining a second oilfield waterflooding system comprised of a plurality of said waterflooding base rings;

establishing an energy consumption optimization model of the second oil field water injection system by taking the operation parameters of each water injection pump included in the second water injection nodes as variables and taking the total energy consumption of the second oil field water injection system as a target;

and constructing an energy balance model of the second oilfield water injection system according to the flow in the water injection pipeline, performing analog simulation on the second oilfield water injection system through the energy balance model, and determining the operation parameters of each water injection pump meeting the energy consumption optimization model.

In one possible implementation, the first water injection node comprises a first water injection well, a first water distribution room, and a first water injection station; a plurality of first water injection nodes that include in the first oil field water injection system of treating the optimization carry out the simplified processing, obtain a plurality of second water injection nodes, include:

determining the connection relation between each first water injection well and each first water distribution room, responding to the fact that the first water injection well is only connected with one first water distribution room, and simplifying the first water injection well and the first water distribution rooms by using an equivalent recursion method to obtain a plurality of simplified second water distribution rooms;

determining the connection relation between each second water distribution room and the first water injection station;

responding to that the second water distribution room is only connected with one first water injection station, and simplifying the second water distribution room and the first water injection stations by using an equivalent recursion method to obtain a plurality of simplified second water injection stations; determining a plurality of the second water injection stations as a plurality of the second water injection nodes;

and responding to the connection between the second water distribution room and the plurality of first water injection stations, and determining the plurality of second water distribution rooms into a plurality of second water injection nodes.

In another possible implementation manner, the determining, according to a plurality of water injection pipelines connected to a plurality of second water injection nodes, a plurality of water injection base rings composed of a plurality of water injection pipelines includes:

selecting a first water injection pipeline from the plurality of water injection pipelines, determining at least one third water injection pipeline forming a closed path with the first water injection pipeline from the plurality of water injection pipelines by utilizing a depth-first search algorithm, and determining a first water injection base ring formed by the first water injection pipeline and the at least one third water injection pipeline;

marking each water injection pipe in the first water injection base ring;

selecting a second water injection pipeline from the unmarked water injection pipelines, determining at least one fourth water injection pipeline forming a closed path with the second water injection pipeline by utilizing the depth-first search algorithm, and determining a second water injection base ring formed by the second water injection pipeline and the at least one fourth water injection pipeline until the unmarked water injection pipeline does not exist.

In another possible implementation manner, the method further includes:

selecting a fifth water injection pipeline from a plurality of water injection pipelines comprised by the plurality of water injection base rings;

determining the position relation between the fifth water injection pipeline and other water injection pipelines except the fifth water injection pipeline;

and responding to the fifth water injection pipeline and other water injection pipelines to be staggered, and adjusting the fifth water injection pipeline until the fifth water injection pipeline is not staggered with other water injection pipelines after adjustment.

In another possible implementation manner, the establishing an energy consumption optimization model of the second oilfield waterflooding system with an operation parameter of each waterflooding pump included in the plurality of second waterflooding nodes as a variable and with a goal of minimizing total energy consumption of the second oilfield waterflooding system includes:

determining a target function with the lowest total energy consumption of the second oilfield water injection system according to the start-stop state and the operation parameters of each water injection pump;

determining a constraint function corresponding to the objective function according to the balance of water injection amount supplied by each water injection pump, the water amount limit of the water injection pump, the water amount of a water injection station and the injection allocation pressure limit of a water injection well;

and determining the energy consumption optimization model corresponding to the objective function and the constraint function.

In another possible implementation, the constructing an energy balance model of the second oilfield waterflooding system according to the flow rate in the waterflooding pipeline includes:

determining the flow rates of a plurality of water injection pipelines included in the plurality of water injection base rings through a flow rate distribution model of the water injection pipelines;

establishing an energy equation corresponding to the water injection base rings according to the flow of the water injection pipelines included in the water injection base rings;

and constructing an energy balance model of the second oilfield flooding system through the energy equation.

In another possible implementation, the determining the flow rates of a plurality of water injection pipes included in a plurality of water injection base rings by a flow rate distribution model of the water injection pipes includes:

determining energy loss functions of the water injection pipelines according to the flow of the water injection pipelines and the resistance coefficients of the water injection pipelines;

and determining the flow rates of a plurality of water injection pipelines included in the plurality of water injection base rings according to the energy loss function and the total energy loss of the water injection base rings.

In another possible implementation manner, the performing simulation on the second oilfield water injection system through the energy balance model to determine the operation parameters of each water injection pump meeting the energy consumption optimization model includes:

for each water injection pump, determining a first operation parameter of the water injection pump through the energy balance model, and determining a first total energy consumption of the second oilfield water injection system according to the first operation parameter;

determining the injection allocation requirement of the second oil field water injection system according to the energy consumption optimization model;

in response to the first total energy consumption meeting the dosing requirement, taking the first operating parameter as an operating parameter of the water injection pump;

and responding to the fact that the first total energy consumption does not meet the injection allocation requirement, adjusting the first operation parameter until the second total energy consumption of the oilfield water injection system corresponding to the adjusted second operation parameter meets the injection allocation requirement, and taking the second operation parameter as the operation parameter of the water injection pump.

In another possible implementation manner, the determining, by the energy balance model, a first operating parameter of the water injection pump includes:

determining a plurality of operating parameters of the water injection pump through a particle swarm algorithm, and selecting a first operating parameter of the water injection pump meeting the energy balance model from the plurality of operating parameters.

On the other hand, this application provides an oil field water injection system energy consumption optimizing apparatus, the device includes:

the simplification module is used for simplifying a plurality of first water injection nodes in a first oilfield water injection system to be optimized to obtain a plurality of second water injection nodes;

the first determining module is used for determining a plurality of water injection base rings formed by a plurality of water injection pipelines according to the plurality of water injection pipelines connected with the plurality of second water injection nodes;

a second determination module for determining a second oilfield waterflooding system comprised of a plurality of the waterflood base rings;

the establishing module is used for establishing an energy consumption optimization model of the second oil field water injection system by taking the operation parameters of each water injection pump included in the second water injection nodes as variables and taking the total energy consumption of the second oil field water injection system as a target;

and the third determination module is used for constructing an energy balance model of the second oilfield water injection system according to the flow in the water injection pipeline, performing analog simulation on the second oilfield water injection system through the energy balance model, and determining the operation parameters of each water injection pump meeting the energy consumption optimization model.

In one possible implementation, the first water injection node comprises a first water injection well, a first water distribution room, and a first water injection station; the simplifying module is used for determining the connection relation between each first water injection well and each first water distribution room, responding to the fact that the first water injection well is connected with only one first water distribution room, and simplifying the first water injection well and the first water distribution rooms by using an equivalent recurrence method to obtain a plurality of simplified second water distribution rooms; determining the connection relation between each second water distribution room and the first water injection station; responding to that the second water distribution room is only connected with one first water injection station, and simplifying the second water distribution room and the first water injection stations by using an equivalent recursion method to obtain a plurality of simplified second water injection stations; determining a plurality of the second water injection stations as a plurality of the second water injection nodes; and responding to the connection between the second water distribution room and the plurality of first water injection stations, and determining the plurality of second water distribution rooms into a plurality of second water injection nodes.

In another possible implementation manner, the first determining module is configured to select a first water injection pipeline from a plurality of water injection pipelines, determine, by using a depth-first search algorithm, at least one third water injection pipeline forming a closed path with the first water injection pipeline from the plurality of water injection pipelines, and determine a first water injection base ring formed by the first water injection pipeline and the at least one third water injection pipeline; marking each water injection pipe in the first water injection base ring; selecting a second water injection pipeline from the unmarked water injection pipelines, determining at least one fourth water injection pipeline forming a closed path with the second water injection pipeline by utilizing the depth-first search algorithm, and determining a second water injection base ring formed by the second water injection pipeline and the at least one fourth water injection pipeline until the unmarked water injection pipeline does not exist.

In another possible implementation manner, the apparatus further includes:

the selecting module is used for selecting a fifth water injection pipeline from a plurality of water injection pipelines which are included in the plurality of water injection base rings;

the adjusting module is used for determining the position relation between the fifth water injection pipeline and other water injection pipelines except the fifth water injection pipeline; and responding to the fifth water injection pipeline and other water injection pipelines to be staggered, and adjusting the fifth water injection pipeline until the fifth water injection pipeline is not staggered with other water injection pipelines after adjustment.

In another possible implementation manner, the establishing module is configured to determine an objective function with the lowest total energy consumption of the second oilfield water injection system according to a start-stop state and an operation parameter of each water injection pump; determining a constraint function corresponding to the objective function according to the balance of water injection amount supplied by each water injection pump, the water amount limit of the water injection pump, the water amount of a water injection station and the injection allocation pressure limit of a water injection well; and determining the energy consumption optimization model corresponding to the objective function and the constraint function.

In another possible implementation manner, the third determining module is configured to determine, through a flow distribution model of water injection pipes, flow rates of a plurality of water injection pipes included in a plurality of water injection base rings; establishing an energy equation corresponding to the water injection base rings according to the flow of the water injection pipelines included in the water injection base rings; and constructing an energy balance model of the second oilfield flooding system through the energy equation.

In another possible implementation manner, the third determining module is configured to determine an energy loss function of a plurality of water injection pipelines according to the flow rate of the water injection pipelines and the resistance coefficients of the plurality of water injection pipelines; and determining the flow rates of a plurality of water injection pipelines included in the plurality of water injection base rings according to the energy loss function and the total energy loss of the water injection base rings.

In another possible implementation manner, the third determining module is configured to determine, for each water injection pump, a first operating parameter of the water injection pump through the energy balance model, and determine a first total energy consumption of the second oilfield water injection system according to the first operating parameter; determining the injection allocation requirement of the second oil field water injection system according to the energy consumption optimization model; in response to the first total energy consumption meeting the dosing requirement, taking the first operating parameter as an operating parameter of the water injection pump; and responding to the fact that the first total energy consumption does not meet the injection allocation requirement, adjusting the first operation parameter until the second total energy consumption of the oilfield water injection system corresponding to the adjusted second operation parameter meets the injection allocation requirement, and taking the second operation parameter as the operation parameter of the water injection pump.

In another possible implementation manner, the third determining module is configured to determine a plurality of operating parameters of the water injection pump through a particle swarm algorithm, and select a first operating parameter of the water injection pump that satisfies the energy balance model from the plurality of operating parameters.

The technical scheme provided by the embodiment of the disclosure has the following beneficial effects:

in the embodiment of the disclosure, a plurality of first water injection nodes included in a first oilfield water injection system to be optimized are simplified to obtain a plurality of second water injection nodes; determining a plurality of water injection base rings formed by the plurality of water injection pipelines according to the plurality of water injection pipelines connected with the plurality of second water injection nodes; determining a second oilfield flooding system consisting of a plurality of flooding base rings; establishing an energy consumption optimization model of the second oil field water injection system by taking the operation parameters of each water injection pump included in the second water injection nodes as variables and taking the total energy consumption of the second oil field water injection system as the lowest target; and constructing an energy balance model of the second oilfield water injection system according to the flow in the water injection pipeline, and performing analog simulation on the second oilfield water injection system through the energy balance model to determine the operation parameters of each water injection pump meeting the energy consumption optimization model. The method comprises the steps that a plurality of first water injection nodes included in a first oilfield water injection system are simplified to obtain a plurality of simplified second water injection nodes; the dimensionality of the energy balance model is effectively reduced, and the calculation time required for solving the energy consumption of the oilfield flooding system is shortened; in addition, due to the fact that the dimensionality of the energy balance model is small, the accumulated error is small in the process of solving the energy consumption of the oilfield water injection system; therefore, the efficiency and the accuracy of energy consumption optimization of the oilfield water injection system are improved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

FIG. 1 is a schematic diagram of an implementation environment of a method for optimizing energy consumption of an oilfield flooding system according to an embodiment of the present disclosure;

FIG. 2 is a flowchart of a method for optimizing energy consumption of an oilfield flooding system according to an embodiment of the present disclosure;

FIG. 3 is a flowchart of a method for optimizing energy consumption of an oilfield flooding system according to an embodiment of the present disclosure;

FIG. 4 is a schematic diagram of a method for optimizing energy consumption of an oilfield flooding system according to an embodiment of the present disclosure;

FIG. 5 is a block diagram of an energy consumption optimization apparatus of an oilfield flooding system according to an embodiment of the present disclosure;

fig. 6 is a block diagram of an energy consumption optimization device of another oilfield flooding system provided in an embodiment of the present disclosure.

Detailed Description

To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

Fig. 1 is a schematic view of an implementation environment of an energy consumption optimization method for an oilfield water injection system according to an embodiment of the present disclosure. The oilfield water injection system comprises a first water injection station 10, a water injection pipe network 20, a first water distribution station 30 and a first water injection well 40. The first water injection station 10 is connected to a first water distribution station 30 through a water injection pipe network 20, and the first water distribution station 30 is connected to at least one first water injection well 40. The first water injection station 10 is configured to pump the injection water by a water injection pump and deliver the water to a water injection pipe network 20. The water injection pipe network 20 comprises a water injection trunk line, a water injection branch line and a single well pipeline, and the injected water is conveyed to the first water distribution room 30 through the water injection trunk line, the water injection branch line and the single well pipeline; the flow rate of injection water in each first water injection well 40 is metered by the first water distribution station 30, and the injection water is distributed to each first water injection well 40.

In the production process of the oilfield water injection system, energy consumption is generated in the processes of pressure boosting of injected water, conveying of the injected water, distribution of the injected water, injection of the injected water and the like in the oilfield water injection system. Because the first water injection station 10, the first water distribution room 20, the first water injection well 40 and the water injection pipe network 20 are communicated with each other, and energy is sequentially transmitted and influenced with each other, pressure fluctuation at a local point in the oilfield water injection system can cause the change of the whole energy distribution of the oilfield water injection system network.

Fig. 2 is a flowchart of an energy consumption optimization method for an oilfield waterflooding system according to an embodiment of the present disclosure.

Step 201, a plurality of first water injection nodes included in a first oilfield water injection system to be optimized are simplified to obtain a plurality of second water injection nodes.

Step 202, determining a plurality of water injection base rings formed by the plurality of water injection pipelines according to the plurality of water injection pipelines connected with the plurality of second water injection nodes.

And step 203, determining a second oilfield waterflooding system consisting of a plurality of waterflooding base rings.

And 204, establishing an energy consumption optimization model of the second oil field water injection system by taking the operation parameters of each water injection pump included in the plurality of second water injection nodes as variables and taking the total energy consumption of the second oil field water injection system as the lowest target.

And step 205, constructing an energy balance model of the second oilfield water injection system according to the flow in the water injection pipeline, performing analog simulation on the second oilfield water injection system through the energy balance model, and determining the operation parameters of each water injection pump meeting the energy consumption optimization model.

In one possible implementation, the first water injection node comprises a first water injection well, a first water distribution room, and a first water injection station; a plurality of first water injection nodes that include in the first oil field water injection system that treats optimization carry out the simplified processing, obtain a plurality of second water injection nodes, include:

determining the connection relation between each second water distribution room and each first water injection station;

responding to that the second water distribution room is only connected with one first water injection station, and simplifying the second water distribution room and the first water injection station by using an equivalent recursion method to obtain a plurality of simplified second water injection stations; determining a plurality of second water injection stations as a plurality of second water injection nodes;

and determining the plurality of second water distribution rooms as a plurality of second water injection nodes in response to the second water distribution rooms being connected with the plurality of first water injection stations.

In another possible implementation manner, determining a plurality of water injection base rings composed of a plurality of water injection pipes according to the plurality of water injection pipes connected to the plurality of second water injection nodes includes:

marking each water injection pipeline in the first water injection base ring;

selecting a second water injection pipeline from the unmarked water injection pipelines, determining at least one fourth water injection pipeline forming a closed path with the second water injection pipeline by utilizing a depth-first search algorithm, and determining a second water injection base ring formed by the second water injection pipeline and the at least one fourth water injection pipeline until the unmarked water injection pipelines do not exist.

In another possible implementation manner, the method further includes:

selecting a fifth water injection pipeline from a plurality of water injection pipelines included by the plurality of water injection base rings;

and responding to the fifth water injection pipeline to be staggered with other water injection pipelines, and adjusting the fifth water injection pipeline until the adjusted fifth water injection pipeline is not staggered with other water injection pipelines.

In another possible implementation manner, with the operation parameters of each water injection pump included in the plurality of second water injection nodes as variables and with the goal of minimizing the total energy consumption of the second oilfield water injection system, establishing an energy consumption optimization model of the second oilfield water injection system includes:

determining a target function with the lowest total energy consumption of the second oil field water injection system according to the start-stop state and the operation parameters of each water injection pump;

determining a constraint function corresponding to the objective function according to the water supply injection quantity balance of each water injection pump, the water quantity limit of the water injection pump, the water quantity of a water injection station and the injection allocation pressure limit of a water injection well;

and determining an energy consumption optimization model corresponding to the objective function and the constraint function.

In another possible implementation, constructing an energy balance model of the second oilfield injection system based on the flow rate in the injection pipeline includes:

establishing an energy equation corresponding to the water injection base rings according to the flow of a plurality of water injection pipelines included in the plurality of water injection base rings;

and constructing an energy balance model of the second oilfield flooding system through an energy equation.

In another possible implementation, determining the flow rates of the plurality of water injection pipes included in the plurality of water injection base rings by a flow rate distribution model of the water injection pipes includes:

and determining the flow of a plurality of water injection pipelines included in the plurality of water injection base rings according to the energy loss function and the total energy loss of the water injection base rings.

In another possible implementation manner, performing analog simulation on the second oilfield flooding system through the energy balance model, and determining the operation parameters of each flooding pump meeting the energy consumption optimization model includes:

for each water injection pump, determining a first operation parameter of the water injection pump through an energy balance model, and determining a first total energy consumption of a second oilfield water injection system according to the first operation parameter;

determining the injection allocation requirement of a second oil field water injection system according to the energy consumption optimization model;

responding to the first total energy consumption meeting the injection allocation requirement, and taking the first operation parameter as an operation parameter of the water injection pump;

In another possible implementation, determining, by an energy balance model, a first operating parameter of the water injection pump includes:

and determining a plurality of operating parameters of the water injection pump through a particle swarm algorithm, and selecting a first operating parameter of the water injection pump meeting an energy balance model from the plurality of operating parameters.

FIG. 3 is a flow chart of another method for optimizing energy consumption of an oilfield waterflooding system provided by an embodiment of the present disclosure.

Step 301, determining, by a computer device, a connection relationship between each first water injection well and a first water distribution room included in a first oilfield water injection system, and in response to that the first water injection well is connected with only one first water distribution room, simplifying the first water injection well and the first water distribution room by using an equivalent recursion method to obtain a plurality of simplified second water distribution rooms.

In the step, for each first water injection well in the first oilfield water injection system, the computer equipment determines the connection relation between each first water injection well and a first water distribution room, and if the first water injection well is connected with only one first water distribution room, the first water injection well and the first water distribution room are simplified by using an equivalent recursion method to obtain a simplified second water distribution room; if the first water injection well is connected to a plurality of first water distribution bays, the first water injection well is not simplified.

In one possible implementation, if the first water injection well is connected to only one first water distribution plant, the computer device may simplify the first water injection well and the first water distribution plant using an equivalent recursion method. Adding the injection allocation amount of the first water injection well into the injection allocation amount of the first water distribution room; and simplifying the first water injection well and the first water distribution room into a second water distribution room. And the injection allocation amount of the second water distribution room is the sum of the injection allocation amount of the first water injection well and the injection allocation amount of the first water distribution room. That is, if the first water injection well is connected with only one first water distribution room, the injection allocation amount of the first water injection well is accumulated in the first water distribution room, and the first water injection well is deleted, so that simplification of the first water injection well is realized.

In another possible implementation manner, if the first water injection well is connected with the plurality of first water distribution rooms, the injection allocation amount of the first water injection well cannot be accumulated to the injection allocation amounts of the plurality of first water distribution rooms by an equivalent recursion method, and the first water injection well is not simplified.

Step 302, determining the connection relation between each second water distribution room and each first water injection station by the computer equipment; responding to that the second water distribution room is only connected with one first water injection station, and simplifying the second water distribution room by using an equivalent recursion method to obtain a plurality of simplified second water injection stations; determining a plurality of second water injection stations as a plurality of second water injection nodes; and determining the plurality of second water distribution rooms as a plurality of second water injection nodes in response to the second water distribution rooms being connected with the plurality of first water injection stations.

In the step, the computer equipment determines the connection relation between the second water distribution room and the first water injection stations, and if the second water distribution room is connected with only one first water injection station, the second water distribution room and the first water injection stations are simplified by using an equivalent recursion method to obtain the simplified second water injection stations; if the second water distribution station is connected to a plurality of first water injection stations, no simplification is performed.

In a possible implementation, if the second water distribution station is connected to only one first water injection station, the computer device can continue to simplify the second water distribution station and the first water injection station using an equivalent recursion method. Adding the injection allocation amount of the second water distribution room into the injection allocation amount of the first water injection station by an equivalent recursion method; and simplifying the second water distribution room and the first water injection station into a second water injection station. And the injection allocation amount of the second water injection station is the sum of the injection allocation amount of the second water distribution room and the injection allocation amount of the first water injection station. That is, if the second water distribution room is connected to only one first water injection station, the injection allocation amount of the second water distribution room is accumulated to the first water injection station, and the second water distribution room is deleted, so that simplification of the second water distribution room and the first water injection station is realized.

In another possible implementation manner, if the second water distribution room is connected with a plurality of first water injection stations, the injection allocation amount of the second water distribution room cannot be accumulated to the injection allocation amounts of the plurality of first water injection stations by an equivalent recursion method, and the second water distribution room and the first water injection stations are not simplified.

It should be noted that, in the process of simplifying the first water injection well, the injection allocation amount of the first water injection well includes the injection allocation amount of the first water injection well itself and the injection allocation amount in the water injection pipeline connecting the first water injection well and the first water distribution room. In the process of simplifying the second water distribution room, the injection allocation amount of the second water distribution room comprises the injection allocation amount of the second water distribution room and the injection allocation amount in a water injection pipeline connected with the first water distribution station. Therefore, in the process of simplifying the first water injection well and the second water distribution room, the water injection pipeline connected with the first water injection well and the water injection pipeline connected with the second water distribution room are also simplified.

For example, the ground water injection system of a certain alpine oilfield in northeast of China is simplified, 6635 water injection nodes such as water injection stations, water injection wells and water distribution rooms are arranged in the water injection system, the number of pipelines is 6342, the water injection system is a typical large-scale annular water injection system, after simplification is performed through an equivalent recursion method, the number of the water injection nodes of the water injection system is 2396, the number of the pipelines is 2479, the number of the simplified water injection nodes is 63.9%, the number of the simplified pipelines is 60.9%, and the simplification effect is obvious.

In an embodiment of the disclosure, a water injection node includes a first water injection well, a first water distribution bay, and a first water injection station. The computer equipment can simplify a plurality of first water injection wells, a first water distribution room and a first water injection station in the oil field water injection system according to the connection relation among the first water injection well, the first water distribution room and the first water injection station to obtain a second water injection node, so that the oil field water injection system can be effectively simplified, the dimensionality of an energy balance model is reduced, and the calculation time for solving the energy consumption of the oil field water injection system is shortened.

And step 303, determining, by the computer device, a plurality of water injection base rings formed by the plurality of water injection pipelines according to the plurality of water injection pipelines connected with the plurality of second water injection nodes.

In an embodiment of the present disclosure, referring to fig. 4, the computer device may determine the base ring of water injection pipes by a depth-first search algorithm. Accordingly, the step may include: selecting a first water injection pipeline from the plurality of water injection pipelines, determining at least one third water injection pipeline forming a closed path with the first water injection pipeline from the plurality of water injection pipelines by utilizing a depth-first search algorithm, and determining a first water injection base ring formed by the first water injection pipeline and the at least one third water injection pipeline; marking each water injection pipeline in the first water injection base ring; selecting a second water injection pipeline from the unmarked water injection pipelines, determining at least one fourth water injection pipeline forming a closed path with the second water injection pipeline by utilizing a depth-first search algorithm, and determining a second water injection base ring formed by the second water injection pipeline and the at least one fourth water injection pipeline; until no unlabelled water injection line is present.

In one possible implementation, the computer device randomly selects a first water injection conduit from the water injection conduits; correspondingly, the computer equipment selects the first water injection pipeline from the water injection pipelines, utilizes the depth-first search algorithm, confirms at least one third water injection pipeline that constitutes closed path with the first water injection pipeline from a plurality of water injection pipelines, confirms the first water injection base ring that first water injection pipeline and at least one third water injection pipeline constitute, includes: randomly selecting a first water injection pipeline from the water injection pipelines by the computer equipment; determining at least one third water injection pipeline forming a closed path with the first water injection pipeline from the plurality of water injection pipelines by taking one end point of the first water injection pipeline as a source point and adopting a depth-first search algorithm; and determining a first water injection base ring consisting of the first water injection pipeline and at least one third water injection pipeline according to the closed path.

In the embodiment of the present disclosure, with one end point of the first water injection pipeline as a source point, the search for a closed path to the other end point using a depth-first search algorithm may be one or more. That is, the closed path composed of the first water injection pipe and the at least one third water injection pipe may be one or more.

In a possible implementation manner, one end point of the first water injection pipeline is taken as a source point, a depth-first search algorithm is adopted to find out that a closed path reaching the other end point is one, and then the computer device determines that the first water injection pipeline and at least one third water injection pipeline in the closed path form a first water injection base ring.

In another possible implementation manner, one end point of the first water injection pipeline is used as a source point, a plurality of closed paths reaching the other end point are found by adopting a depth-first search algorithm, and accordingly, the computer device determines a first water injection base ring composed of the first water injection pipeline and at least one third water injection pipeline according to the closed paths.

In a possible implementation manner, the computer device may store the number of water injection pipes included in each closed path, and select a closed path with the least number of water injection pipes from the plurality of closed paths according to the storage result.

For example, the computer device selects the first water injection line as (v)_s,v_e) A first water injection pipeline (v)_s,v_e) Determining as a starting pipeline from a certain end point v of the starting pipeline_sAs a source point, finding to reach another end point v by adopting a depth-first search algorithm_eThe number of the closed paths is multiple, and the number of water injection pipelines contained in each found closed path is stored; and according to the storage result, selecting a closed path with the least number of water injection pipelines from the plurality of closed paths, and determining that the first water injection pipeline and the at least one third water injection pipeline in the closed path with the least number of water injection pipelines form a first water injection base ring.

In another possible implementation manner, the computer device determines a first water injection base ring composed of the first water injection pipeline and the at least one third water injection pipeline according to the closed paths, and includes that the computer device determines the total length of the water injection pipelines included in each closed path, selects a closed path with the smallest total length of the water injection pipelines from the plurality of closed paths, and determines that the first water injection pipeline and the at least one third water injection pipeline in the closed path with the smallest total length of the water injection pipelines form the first water injection base ring. The computer equipment can store the total length of the water injection pipeline contained in each closed path, and selects the closed path with the minimum total length of the water injection pipeline from the plurality of closed paths according to a storage result.

In an embodiment of the present disclosure, the computer device may determine the first water injection base ring by a depth-first search algorithm, and after marking each water injection pipe in the first water injection base ring, continue to determine the other water injection base rings by the depth-first search algorithm until there are no unmarked water injection pipes.

In one possible implementation, a second water injection pipeline is selected from the unlabelled water injection pipelines, at least one fourth water injection pipeline forming a closed path with the second water injection pipeline is determined by using a depth-first search algorithm, and a second water injection base ring formed by the second water injection pipeline and the at least one fourth water injection pipeline is determined until no unlabelled water injection pipeline exists. The method for determining the second water-filling base ring is the same as the method for determining the first water-filling base ring by using a depth-first search algorithm. Wherein the first water injection base ring and the second water injection base ring are related to the selected water injection pipeline and are unrelated to the sequence of selecting the water injection pipeline. Namely, the selected water injection pipelines are different, and the determined water injection base rings are different through a depth-first search algorithm.

In one possible implementation, after the second water injection base ring is determined, each water injection pipe in the second water injection base ring is marked; and stopping selecting the second water injection pipeline until no unmarked water injection pipeline exists.

Step 304, the computer apparatus determines a second oilfield waterflooding system comprised of a plurality of waterflood base rings.

In this step, the plurality of water injection base rings comprises a first water injection base ring and a plurality of second water injection base rings, and a second oilfield water injection system is formed by the first water injection base ring and the plurality of second water injection base rings.

In one possible implementation, the second oilfield flooding system is determined by marking the flooding pipeline. The computer equipment marks the pipeline in the first water injection base ring and the water injection pipeline in the second water injection base rings; and when all the water injection pipelines are marked, determining that the first water injection base ring and the plurality of second water injection base rings form a second oilfield water injection system.

In another possible implementation, the second field waterflood injection system is determined by marking the waterflood base ring. Marking a plurality of water injection base rings by computer equipment; and when the first water injection ring and the plurality of second water injection rings are all marked, determining that the first water injection ring and the plurality of second water injection rings form a second oilfield water injection system.

It should be noted that before determining that the first water injection base ring and the plurality of second water injection base rings form the second oilfield water injection system, the positional relationship between the water injection pipelines included in the first water injection base ring and the water injection pipelines included in the plurality of second water injection base rings needs to be confirmed. Wherein, the position relation of the water injection pipeline and other water injection pipelines comprises a staggered relation and a non-staggered relation.

In one possible implementation, with continued reference to fig. 4, the position of a water injection line is adjusted when it is in a staggered relationship with other water injection lines. Correspondingly, the computer equipment selects a fifth water injection pipeline from a plurality of water injection pipelines included by the plurality of water injection base rings; determining the position relation between the fifth water injection pipeline and other water injection pipelines except the fifth water injection pipeline; responding to the fifth water injection pipeline to be staggered with other water injection pipelines, and adjusting the fifth water injection pipeline until the adjusted fifth water injection pipeline is not staggered with other water injection pipelines; marking the fifth water injection pipeline as adjusted; the step of determining that the first water injection base ring and the plurality of second water injection base rings comprise a second oilfield water injection system is performed in response to the plurality of water injection pipelines all being marked.

In the embodiment of the present disclosure, the computer apparatus may determine the position relationship of the fifth water injection pipeline and the other water injection pipelines except the fifth water injection pipeline according to whether the fifth water injection pipeline belongs to the other water injection base rings.

In one possible implementation, the same water injection pipeline exists for the water injection pipeline included in the first water injection base ring and the water injection pipelines included in the second water injection base rings; that is, the fifth water injection pipeline belongs to a plurality of water injection base rings, and the fifth water injection pipeline is determined to be staggered with other water injection pipelines.

Correspondingly, the computer device determines the position relationship of the fifth water injection pipeline and other water injection pipelines except the fifth water injection pipeline, responds to the fifth water injection pipeline being staggered with other water injection pipelines, adjusts the fifth water injection pipeline until the adjusted fifth water injection pipeline is not staggered with other water injection pipelines, and comprises: the computer device determines whether the fifth water injection pipeline belongs to a third water injection base ring other than the current water injection base ring, and adjusts the fifth water injection pipeline in response to the fifth water injection pipeline belonging to the third water injection base ring; and stopping adjusting the fifth water injection pipeline until no new third water injection base ring exists.

In one possible implementation, the dosage in the fifth water injection pipe is the total dosage of the plurality of water injection base rings; correspondingly, the computer equipment adjusts the fifth water injection pipeline, including: the computer equipment determines the injection amount of a fifth water injection pipeline in each water injection base ring; and adjusting the position of the fifth water injection pipeline in the water injection base ring according to the injection amount.

In one possible implementation, the injection allocation amount in the fifth water injection pipe is related to the length of the fifth water injection pipe; the longer the length of the fifth water injection pipe is, the larger the injection allocation amount in the fifth water injection pipe is. Correspondingly, the computer device adjusts the position of the fifth water injection pipeline in the water injection base ring according to the injection amount, and comprises the following steps: the computer equipment determines the equivalent length of the fifth water injection pipe according to the injection amount of the fifth water injection pipe in the water injection base ring; and adjusting the position of the fifth water injection pipeline in the water injection base ring according to the equivalent length.

E.g. a fifth water injection pipe (v)_i,v_j) Is 5m in length; the total injection allocation amount in the fifth water injection pipe is 5m³(ii) a Wherein, the fifth oneWater injection pipe (v)_i,v_j) Starting point of (1) is v_iFifth water injection pipe (v)_i,v_j) Has an end point of v_j. The dosage of the fifth water injection pipeline in the first water injection base ring is 3m³The dosage in the third water injection-based ring is 2m³Determining that the equivalent length of the fifth water injection pipe in the first water injection base ring is 3 m; according to the equivalent length, determining the end point of the fifth water injection pipe as v_mid(ii) a Wherein v is_iTo v_midIs 3m in length; adjusting the terminal point v of the fifth water injection pipe in the first water injection base ring_jIs adjusted to v_mid。

In another possible implementation manner, the position relationship between the fifth water injection pipeline and the other water injection pipelines except the fifth water injection pipeline is a non-staggered relationship; correspondingly, the computer equipment selects a fifth water injection pipeline from a plurality of water injection pipelines included by the plurality of water injection base rings; determining the position relation between the fifth water injection pipeline and other water injection pipelines except the fifth water injection pipeline; marking the fifth water injection line as adjusted in response to the fifth water injection line not being staggered from the other water injection lines.

In a possible implementation, the water injection pipeline included in the first water injection base ring and the water injection pipeline included in the plurality of second water injection base rings do not have the same water injection pipeline, that is, the fifth water injection pipeline belongs to one water injection base ring, and it is determined that the fifth water injection pipeline is not staggered with other water injection pipelines.

In the embodiment of the application, the computer equipment confirms the position relation of the water injection pipelines included in the plurality of water injection base rings; if the fifth water injection pipeline is staggered with other water injection pipelines, the flow of the fifth water injection pipeline is adjusted; the flow in the water injection pipeline can be prevented from being repeatedly calculated in a plurality of water injection base rings; thereby ensuring the accuracy of the inner flow of the first water injection base ring and the plurality of second water injection base rings.

And 305, establishing an energy consumption optimization model of the second oil field water injection system by the computer equipment by taking the operation parameters of each water injection pump included in the plurality of second water injection nodes as variables and taking the minimum total energy consumption of the second oil field water injection system as a target.

In the embodiment of the disclosure, the energy consumption is different due to different operation parameters of the water injection pump; the minimum total energy consumption of the second oil field water injection system is related to the start-stop status and the operating parameters of the water injection pump of each water injection pump in the second oil field water injection system. Wherein the second water injection node comprises at least one water injection pump.

In one possible implementation, with continued reference to FIG. 4, an energy consumption optimization model of the second oilfield waterflood system is established with the goal of minimizing the total energy consumption of the second oilfield waterflood system. Accordingly, the step may include: determining a target function with the lowest total energy consumption of the second oil field water injection system according to the start-stop state and the operation parameters of each water injection pump; determining a constraint function corresponding to the objective function according to the water supply injection quantity balance of each water injection pump, the water quantity limit of the water injection pump, the water quantity of a water injection station and the injection allocation pressure limit of a water injection well; and determining an energy consumption optimization model corresponding to the objective function and the constraint function.

In one possible implementation manner, the objective function that determines the lowest total energy consumption of the second oilfield flooding system according to the start-stop state and the operation parameters of each flooding pump is formula (1):

formula (1):

wherein H_iThe unit of the lift of the ith water injection pump is as follows: m; q_iThe unit of the displacement of the ith water injection pump is as follows: m is³/h；η_piThe discharge capacity of the ith water injection pump is Q_iEfficiency in units of: percent; eta_miFor the efficiency of the motor of driving ith water injection pump, the unit is: percent; n is a radical of_pThe total number of the water injection pumps in unit is as follows: a stage; ρ is the fluid density in units of: kg/m³(ii) a g is the acceleration of gravity, and the unit is: m/s²；t_iThe unit of the operation time of the ith pump is as follows: h; gamma is a unit conversion coefficient and is a constant of 3.6 x 10^-6。

In a possible implementation manner, a constraint function corresponding to the objective function is determined according to the water supply and injection amount balance of each water injection pump, the water amount of each water injection station, and the injection allocation pressure limit of each water injection well.

Determining a constraint function corresponding to an objective function as a formula (2) according to the balance of the water supply and injection amount of each water injection pump:

formula (2):

wherein N is_wThe total number of injection wells in the system is shown.

Determining a constraint function corresponding to the objective function as a formula (3) according to the injection allocation pressure limit of the water injection well:

formula (3):

wherein,

the minimum injection pressure required by the ith water injection well.

Determining a constraint function corresponding to the objective function as a formula (4) according to the water injection pump water quantity:

formula (4):

wherein,

and the minimum and maximum discharge capacity of the ith water injection pump working in the high-efficiency area is provided.

Determining a constraint function corresponding to the objective function as a formula (5) according to the water quantity of the water injection station:

formula (5):

wherein n is_iThe number of the water injection pumps in the ith water injection station is counted;

an upper limit value and a lower limit value of water injection quantity of the ith water injection station; and m is the number of water injection stations.

In one possible implementation, the system of equations that satisfies both the objective function and the constraint function is determined as the energy consumption optimization model.

Step 306, the computer device constructs an energy balance model of the second oilfield flooding system according to the flow rate in the flooding pipeline.

In a possible implementation manner, an energy balance model of the second oilfield water injection system is constructed according to the flow rate in the water injection pipeline, and the energy balance model can be realized through the following steps (1) to (3):

(1) determining the flow rates of the plurality of water injection pipes included in the plurality of water injection base rings through a flow rate distribution model of the water injection pipes.

In one possible implementation, the method includes: determining an energy loss function of the water injection pipeline according to the flow rate of the water injection pipeline and the resistance coefficient of the water injection pipeline; and determining the flow rates of a plurality of water injection pipelines included in the water injection base ring according to the energy loss function and the total energy loss of the water injection base ring.

Wherein the energy loss function is formula (6):

formula (6):

wherein f is the energy loss, s_ijIs the resistance coefficient of the water injection pipeline; q. q.s_ijThe flow rate of the water injection pipeline flowing from the second water injection node i to the second water injection node j is shown; p is the number of water injection pipelines.

It should be noted that the water flow direction in the water injection pipeline may be different, for example, the water flow direction in the water injection pipeline may be from the second water injection node j to the second water injection node i, and the water flow rate in the water injection pipeline is-q_ij. Wherein-q_ij＝q_ijAnd the symbol represents the flow direction of water in the water injection pipeline.

In one possible implementation, determining the flow rates of the plurality of water injection pipes included in the water injection base ring according to the energy loss function and the total energy loss of the water injection base ring comprises: establishing a flow distribution model of the water injection pipeline by taking the minimum total energy loss of the water injection base ring as a target and taking the flow balance of the water injection node as a constraint condition; and determining the flow of a plurality of water injection pipelines included in the water injection base ring according to the flow distribution model.

Wherein, the flow distribution model of the water injection pipeline is an equation set (1):

equation set (1):

wherein f is the energy loss, s_ijIs the resistance coefficient of the water injection pipeline; q. q.s_ijThe flow rate of the water injection pipeline flowing from the second water injection node i to the second water injection node j is shown; p is the number of water injection pipelines; q_iThe flow rate of the water injection pipeline flowing into the water injection node i; q_isTotal flow into water injection node i for the origin of the water injection pipeline; n is_iThe number of water injection lines connected to the second water injection node i.

(2) And establishing an energy equation corresponding to the water injection base ring according to the flow of a plurality of water injection pipelines included in the water injection base ring.

In one possible implementation, the flow rates of the plurality of water injection pipes determined by the computer device according to equation set (1) are the flow rates within the plurality of water injection pipes when the total energy loss of the water injection base ring is minimal. At this time, the flow distribution model is the flow optimal distribution model.

Correspondingly, the method comprises the following steps: and the computer equipment establishes an energy equation corresponding to the water injection base ring according to the flow of the plurality of water injection pipelines in the flow optimal distribution model.

Wherein, the energy equation corresponding to the first water injection base ring is F₁(q₁,q₂,q₃,…,q_f)＝ΔH₁(ii) a The energy equation corresponding to the second water injection base ring is as follows: f₂(q_g,q_g+1,q_g+2,…,q_j)＝ΔH₂(ii) a The energy equation corresponding to the L-th water injection base ring is as follows: f_L(q_m,q_m+1,q_m+2,…,q_p)＝ΔH_L。

Wherein q is_iThe flow rate corresponding to the ith water injection pipeline is represented; l is the number of water injection base rings; Δ H_jRepresents the closure energy difference of the water injection base ring j; wherein F is the 1 st waterflooding base ring F₁The number of internal water injection pipelines; j-g is the 2 nd waterflooding base ring F₂The number of internal water injection pipelines; p-m is the L-th water-filling ring F_LThe number of internal water injection pipelines.

(3) And constructing an energy balance model of the second oilfield flooding system through an energy equation.

In one possible implementation, the method includes: and determining an energy equation corresponding to each base ring, and determining an energy equation system formed by a plurality of energy equations as an energy balance model of the second oilfield water injection system. In one possible implementation, with continued reference to fig. 4, the system of energy equations is built in units of the base ring.

Wherein, the energy equation system composed of a plurality of energy equations is the equation system (2):

equation set (2):

And 307, performing analog simulation on the second oilfield water injection system through the energy balance model by the computer equipment, and determining the operation parameters of each water injection pump meeting the energy consumption optimization model.

In the embodiment of the application, the operation parameters of the water injection pump corresponding to each feasible scheme meet both the energy balance model and the energy consumption optimization model.

In one possible implementation, performing simulation on the second oilfield flooding system through the energy balance model, and determining the operation parameters of each flooding pump satisfying the energy consumption optimization model includes: for each water injection pump, determining a first operation parameter of the water injection pump through an energy balance model, and determining a first total energy consumption of a second oilfield water injection system according to the first operation parameter; determining the injection allocation requirement of a second oil field water injection system according to the energy consumption optimization model; responding to the first total energy consumption meeting the injection allocation requirement, and taking the first operation parameter as an operation parameter of the water injection pump; and responding to the fact that the first total energy consumption does not meet the injection allocation requirement, adjusting the first operation parameter until the second total energy consumption of the second oilfield water injection system corresponding to the adjusted second operation parameter meets the injection allocation requirement, and taking the second operation parameter as the operation parameter of the water injection pump.

In one possible implementation, for each water injection pump, determining, by an energy balance model, a first operating parameter for each water injection pump includes: and determining a plurality of operating parameters of each water injection pump through a particle swarm algorithm, and selecting a first operating parameter of each water injection pump meeting an energy balance model from the plurality of operating parameters.

Wherein, the operation parameters of the plurality of water injection pumps can be the same or different. In one possible implementation, the operating parameter may be an operating efficiency of a motor of the water injection pump. When the operation efficiency of the motor is increased, the water injection pressure of the water injection pump is increased, the discharge capacity of the water injection pump is increased, and the flow of a water injection pipeline connected with the water injection node is also increased.

It should be noted that the particle swarm includes a plurality of particles, and the plurality of water injection pumps corresponding to each particle have different opening states, that is, the operation schemes of each water injection pump corresponding to each particle are different. After the starting states of the water injection pumps are determined, the operation scheme meeting the energy consumption optimization model can be obtained by adjusting the operation parameters of each water injection pump.

In one possible implementation, determining a plurality of operating parameters of each water injection pump through a particle swarm algorithm, and selecting a first operating parameter of the water injection pump satisfying an energy balance model from the plurality of operating parameters includes: and the computer equipment performs simulation calculation according to a ring-opening method and determines a first operating parameter of each water injection pump meeting the energy balance model.

For example, 50 particles are included in a particle group; the inertial weight w of the particle swarm algorithm is 0.8; learning factor c₁＝c₂0.8; maximum number of iterations is I_max500. For each particle, the computer device performs a simulation calculation according to the method of decyclization. The ring-opening method is to adjust the corresponding closed energy difference of the base ring by continuously increasing the ring correction flow delta q. In one possible implementation, the convergence accuracy of the loop correction flow Δ q in the loop release method is such that the difference between the two flows before and after the loop correction flow Δ q is not more than 0.02m³。

In one possible implementation, the encoding scheme of the particles is:

wherein k is a natural number and k is less than or equal to 50,

is the position of the jth water injection pump in the kth particle. Wherein for each particle the flow Δ q can be adjusted by a loop correction

Namely, the position of each water injection pump in the particle is adjusted by adjusting the flow rate of the water injection pump.

In the embodiment of the present application, for each particle of information, the initial flow rates of the plurality of water injection pipes included in the water injection base ring may be determined through a flow rate distribution model of the water injection pipes.

In a possible implementation manner, simulation calculation is performed according to a ring-opening method, and a first operation parameter of the water injection pump meeting an energy balance model is determined, including determining a closed energy difference corresponding to each base ring in an energy equation according to initial flow rates of a plurality of water injection pipelines, wherein the closed energy difference corresponding to each base ring is smaller than a first energy threshold, and determining that the first operation parameter of the water injection pump meets the energy balance model.

And for each particle, determining an energy equation corresponding to each base ring, and determining an equation system consisting of a plurality of energy equations as an energy balance model.

The system of equations formed by the energy equations is as follows:

Wherein the first energy threshold may be 0.01m of injection into the water injection pipeline³-0.05m³The energy required for any flow in between. For example, the first energy threshold may be 0.02m of injection into the water injection pipeline³The energy required for the flow. That is, the initial flow rates of the corresponding water injection pipelines in the particle are all smaller than the closed energy difference of the injection pipelines which are injected with 0.02m³The energy required for the flow.

In another possible implementation manner, the computer device performs simulation calculation according to a ring-opening method to determine a first operating parameter of the water injection pump meeting an energy balance model, and the method includes that the computer device determines a closed energy difference corresponding to each base ring in an energy equation according to initial flow rates of a plurality of water injection pipelines, the closed energy difference corresponding to the existing base ring is not less than a first energy threshold, the flow rate in the base ring is adjusted until the closed energy difference corresponding to each base ring in the adjusted energy equation is less than the first energy threshold, and the first operating parameter of the water injection pump is determined to meet the energy balance model.

In one possible implementation, with continued reference to fig. 4, the computer device adjusts the flow rate within the base ring by the ring correction flow rate, adds the flow rate of each water injection line within the base ring to the ring correction flow rate, and updates the flow rate of the water injection line. In one possible implementation, the calculationThe device can solve the ring correction flow delta q by adopting a Newton method_i(ii) a Wherein, Δ q_iAnd indicating the ring correction flow corresponding to the ith water injection pipeline.

Accordingly, the adjusted energy balance equation set is equation set (3):

equation set (3):

wherein q is_iThe flow rate corresponding to the ith water injection pipeline is represented; l is the number of water injection base rings; Δ q of_iIndicating the ring correction flow corresponding to the ith water injection pipeline; wherein F is the 1 st waterflooding base ring F₁The number of internal water injection pipelines; j-g is the 2 nd waterflooding base ring F₂The number of internal water injection pipelines; p-m is the L-th water-filling ring F_LThe number of internal water injection pipelines.

In one possible implementation, with continued reference to fig. 4, the computer device determines whether the closed energy difference in the energy equation corresponding to each adjusted base ring satisfies the convergence condition; namely judging whether the closed energy difference in the energy equation corresponding to each adjusted base ring is less than 0.02m of the energy injected into the water injection pipeline³The energy required for the flow. If the convergence condition is not met, continuing to adjust the flow in the base ring; and if the convergence condition is met, determining that the first operating parameter of the water injection pump meets the energy balance model.

In one possible implementation, the closed energy difference in the energy equation corresponding to each base ring after the adjustment is close to zero is smaller than the first energy threshold. In the embodiment of the present application, with continuing reference to fig. 4, the operation parameter of each water injection pump satisfying the energy balance model is the optimal solution operation parameter of the particle, that is, the particle fitness function value.

In one possible implementation manner, the computer device determines the injection allocation requirement of the second oilfield water injection system according to the energy consumption optimization model; and responding to the first total energy consumption meeting the injection allocation requirement, and taking the first operation parameter as the operation parameter of the water injection pump. At this time, the first operating parameter is the optimal solution parameter, that is, the particle fitness function value.

In one possible implementation, the first total energy consumption allocation requirement is that the injection pressure of the water injection well is greater than a first pressure threshold. The first pressure threshold may be a minimum pressure value of the water injection well, that is, an injection pressure of the water injection well is greater than the minimum pressure value of the water injection well. At this time, the first total energy consumption satisfies the energy consumption optimization model.

In another possible implementation, the dispensing requirement may be that the flow rate of the water injection line is greater than a preset flow rate. Wherein the preset flow is the flow of the water injection pipeline when the total energy loss of the water injection base ring is minimum. At this time, the first total energy consumption satisfies the energy consumption optimization model.

In another possible implementation manner, the computer device adjusts the first operation parameter in response to that the first total energy consumption does not meet the injection allocation requirement, and takes the second operation parameter as an operation parameter of the water injection pump until the second total energy consumption of the second oil field water injection system corresponding to the adjusted second operation parameter meets the injection allocation requirement. At this time, the second operation parameter is the optimal solution parameter, that is, the particle fitness function value.

In one possible implementation, with continued reference to fig. 4, the computer device determines whether the first total energy consumption satisfies the allocation requirement, i.e., determines whether the first operating parameter satisfies the constraint. When the first operation parameter meets the constraint condition, determining the first operation parameter as an optimal solution parameter; when the first operation parameter does not meet the constraint condition, updating the particles and adjusting the first operation parameter; continuously judging whether the second operation parameter meets the constraint condition; and taking the second operation parameter as the optimal solution parameter until the adjusted second operation parameter meets the constraint requirement. And the second operation parameter is the operation parameter of the water injection pump corresponding to other particles, and the first operation parameter is adjusted, namely the operation parameter of the water injection pump corresponding to other particles is replaced.

For example, a particle population comprises 50 particles, and 50 particles correspond to 50 operating schemes; the operational parameters of the water injection pump are different in each operational scenario. Wherein, 10 operation schemes meeting the injection allocation requirement exist, and 10 operation parameters of each water injection pump meeting the energy consumption optimization model exist.

In the embodiment of the application, a plurality of operating parameters of the water injection pump are determined through a particle swarm algorithm, and a first operating parameter of the water injection pump meeting an energy balance model is selected from the operating parameters; and performing analog simulation on the oilfield water injection system through the energy balance model, and determining the operation parameters of each water injection pump meeting the energy consumption optimization model. Due to the particle swarm optimization, the operation parameters of each water injection pump meeting the energy consumption optimization model can be determined to be multiple. When the operation parameter of one scheme can not normally operate, the operation parameters of other schemes can be directly replaced; therefore, the efficiency of optimizing the energy consumption of the oilfield water injection system is improved.

Fig. 5 is a block diagram of an energy consumption optimization device of an oilfield flooding system according to an embodiment of the present disclosure. The device comprises:

a simplification module 501, configured to perform simplification processing on a plurality of first water injection nodes included in a first oilfield water injection system to be optimized to obtain a plurality of second water injection nodes;

a first determining module 502, configured to determine, according to the plurality of water injection pipelines connected to the plurality of second water injection nodes, a plurality of water injection base rings formed by the plurality of water injection pipelines;

a second determination module 503 for determining a second oilfield waterflooding system comprised of a plurality of waterflood base rings;

an establishing module 504, configured to establish an energy consumption optimization model of the second oil field water injection system with an operation parameter of each water injection pump included in the plurality of second water injection nodes as a variable and with a goal of minimizing total energy consumption of the second oil field water injection system;

and a third determining module 505, configured to construct an energy balance model of the second oilfield water injection system according to the flow rate in the water injection pipeline, perform analog simulation on the second oilfield water injection system through the energy balance model, and determine an operation parameter of each water injection pump that meets the energy consumption optimization model.

In one possible implementation, the first water injection node comprises a first water injection well, a first water distribution room, and a first water injection station; the simplifying module 501 is used for determining the connection relation between each first water injection well and each first water distribution room, responding to the fact that the first water injection well is only connected with one first water distribution room, and simplifying the first water injection well and the first water distribution rooms by using an equivalent recurrence method to obtain a plurality of simplified second water distribution rooms; determining the connection relation between each second water distribution room and each first water injection station; responding to that the second water distribution room is only connected with one first water injection station, and simplifying the second water distribution room and the first water injection station by using an equivalent recursion method to obtain a plurality of simplified second water injection stations; determining a plurality of second water injection stations as a plurality of second water injection nodes; and determining the plurality of second water distribution rooms as a plurality of second water injection nodes in response to the second water distribution rooms being connected with the plurality of first water injection stations.

In another possible implementation manner, the first determining module 502 is configured to select a first water injection pipeline from a plurality of water injection pipelines, determine, by using a depth-first search algorithm, at least one third water injection pipeline forming a closed path with the first water injection pipeline from the plurality of water injection pipelines, and determine a first water injection base ring formed by the first water injection pipeline and the at least one third water injection pipeline; marking each water injection pipeline in the first water injection base ring; selecting a second water injection pipeline from the unmarked water injection pipelines, determining at least one fourth water injection pipeline forming a closed path with the second water injection pipeline by utilizing a depth-first search algorithm, and determining a second water injection base ring formed by the second water injection pipeline and the at least one fourth water injection pipeline until the unmarked water injection pipelines do not exist.

In another possible implementation, referring to fig. 6, the apparatus further includes:

a selecting module 506, configured to select a fifth water injection pipeline from the plurality of water injection pipelines included in the plurality of water injection base rings;

an adjusting module 507, configured to determine a position relationship between the fifth water injection pipeline and the other water injection pipelines except the fifth water injection pipeline; and responding to the fifth water injection pipeline to be staggered with other water injection pipelines, and adjusting the fifth water injection pipeline until the adjusted fifth water injection pipeline is not staggered with other water injection pipelines.

In another possible implementation manner, the establishing module 504 is configured to determine an objective function with the lowest total energy consumption of the second oilfield water injection system according to the start-stop state and the operation parameters of each water injection pump; determining a constraint function corresponding to the objective function according to the water supply injection quantity balance of each water injection pump, the water quantity limit of the water injection pump, the water quantity of a water injection station and the injection allocation pressure limit of a water injection well; and determining an energy consumption optimization model corresponding to the objective function and the constraint function.

In another possible implementation, the third determining module 505 is configured to determine, through a flow distribution model of the water injection pipes, flow rates of a plurality of water injection pipes included in the plurality of water injection base rings; establishing an energy equation corresponding to the water injection base rings according to the flow of a plurality of water injection pipelines included in the plurality of water injection base rings; and constructing an energy balance model of the second oilfield flooding system through an energy equation.

In another possible implementation manner, the third determining module 505 is configured to determine an energy loss function of a plurality of water injection pipelines according to the flow rate of the water injection pipelines and the resistance coefficients of the plurality of water injection pipelines; and determining the flow of a plurality of water injection pipelines included in the plurality of water injection base rings according to the energy loss function and the total energy loss of the water injection base rings.

In another possible implementation manner, the third determining module 505 is configured to determine, for each water injection pump, a first operating parameter of the water injection pump through an energy balance model, and determine, according to the first operating parameter, a first total energy consumption of the second oilfield water injection system; determining the injection allocation requirement of a second oil field water injection system according to the energy consumption optimization model; responding to the first total energy consumption meeting the injection allocation requirement, and taking the first operation parameter as an operation parameter of the water injection pump; and responding to the fact that the first total energy consumption does not meet the injection allocation requirement, adjusting the first operation parameter until the second total energy consumption of the oilfield water injection system corresponding to the adjusted second operation parameter meets the injection allocation requirement, and taking the second operation parameter as the operation parameter of the water injection pump.

In another possible implementation manner, the third determining module 505 is configured to determine a plurality of operating parameters of the water injection pump through a particle swarm algorithm, and select a first operating parameter of the water injection pump, which satisfies the energy balance model, from the plurality of operating parameters.

In the embodiment of the disclosure, a plurality of first water injection nodes included in a first oilfield water injection system are simplified to obtain a plurality of simplified second water injection nodes; the dimensionality of the energy balance model is effectively reduced, and the calculation time required for solving the energy consumption of the oilfield flooding system is shortened; in addition, due to the fact that the dimensionality of the energy balance model is small, the accumulated error is small in the process of solving the energy consumption of the oilfield water injection system; therefore, the efficiency and the accuracy of energy consumption optimization of the oilfield water injection system are improved.

The above description is only exemplary of the present application and should not be taken as limiting, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for optimizing energy consumption of an oilfield flooding system, the method comprising:

2. The method of claim 1, wherein the first water injection node comprises a first water injection well, a first water distribution bay, and a first water injection station; a plurality of first water injection nodes that include in the first oil field water injection system of treating the optimization carry out the simplified processing, obtain a plurality of second water injection nodes, include:

determining the connection relation between each first water injection well and each first water distribution room in the first oilfield water injection system, responding to the fact that the first water injection well is only connected with one first water distribution room, and simplifying the first water injection well and the first water distribution rooms by using an equivalent recursion method to obtain a plurality of simplified second water distribution rooms;

responding to that the second water distribution room is only connected with one first water injection station, and simplifying the second water distribution room and the first water injection stations by using the equivalent recursion method to obtain a plurality of simplified second water injection stations; determining a plurality of the second water injection stations as a plurality of the second water injection nodes;

3. The method of claim 1, wherein determining a plurality of water injection base rings of a plurality of water injection pipes from a plurality of water injection pipes connected to a plurality of the second water injection nodes comprises:

marking each water injection pipe in the first water injection base ring;

4. The method of claim 3, further comprising:

selecting a fifth water injection pipeline from the plurality of water injection pipelines included in the water injection base ring;

5. The method of claim 1, wherein the establishing an energy consumption optimization model for the second oilfield waterflooding system with the objective of minimizing an overall energy consumption of the second oilfield waterflooding system with the operational parameters of each waterflooding pump included in the plurality of second waterflooding nodes as variables comprises:

6. The method of claim 1, wherein constructing an energy balance model of the second oilfield water injection system based on the flow rates in the water injection pipelines comprises:

7. The method of claim 6, wherein said determining a flow rate through a plurality of said water injection conduits included in a plurality of said water injection base rings by a flow rate distribution model for said water injection conduits comprises:

8. The method of claim 1, wherein the simulating the second oilfield waterflooding system via the energy balance model to determine operational parameters of each of the waterflooding pumps that satisfy the energy consumption optimization model comprises:

for each water injection pump, determining a first operation parameter of each water injection pump through the energy balance model, and determining a first total energy consumption of the second oilfield water injection system according to the first operation parameter;

9. The method of claim 8, wherein determining, via the energy balance model, a first operating parameter of the water injection pump comprises:

determining a plurality of operating parameters of each water injection pump through a particle swarm algorithm, and selecting a first operating parameter of the water injection pump meeting the energy balance model from the plurality of operating parameters.

10. An energy consumption optimization device for an oilfield flooding system, the device comprising: