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Steam flooding injection and production scheme determining method based on stochastic disturbance particle swarm optimization

A particle swarm algorithm and random perturbation technology, which is applied in the directions of calculation, production of fluid, and calculation model, etc., can solve the problems of non-optimal injection and production scheme, slow calculation speed, and many adjustment parameters, so as to improve the accuracy, simple operation, and improve the economic effect

Inactive Publication Date: 2014-06-18
NORTHEAST GASOLINEEUM UNIV
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Problems solved by technology

[0006] The purpose of the present invention is to solve the problems that the existing steam flooding injection-production scheme determination method requires more adjustment parameters, complicated operation, slow calculation speed, and non-optimal injection-production scheme, and provides a steam flooding system based on random disturbance particle swarm algorithm. Injection-production scheme determination method

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  • Steam flooding injection and production scheme determining method based on stochastic disturbance particle swarm optimization
  • Steam flooding injection and production scheme determining method based on stochastic disturbance particle swarm optimization
  • Steam flooding injection and production scheme determining method based on stochastic disturbance particle swarm optimization

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specific Embodiment approach 1

[0030] Specific embodiment one: the method for determining the injection-production scheme of steam flooding based on random disturbance particle swarm algorithm of the present invention, it comprises the following steps:

[0031] Step 1: Obtain the reservoir description, original formation conditions, underground fluid properties, underground rock properties, parameters related to injection wells and production wells of a heavy oil reservoir area, and establish a steam flooding analytical model for the oil reservoir area;

[0032] Step 2: set the parameters of the particle swarm optimization algorithm, the parameters include: particle population size N, particle dimension L, particle speed range of each dimension [V imin , V imax ], where i=1, 2, ..., L, the range of each dimension position of the particle [X imin , X imax ], where i=1, 2,..., L, inertia weight w, learning factor C 1 and C 2 , the disturbance step size step, the maximum number of iterations Iter_Max and t...

specific Embodiment approach 2

[0050] Embodiment 2: This embodiment differs from Embodiment 1 in that when the number of iterations per interval is m, 0<m<Iter_Max, re-initialize the position and velocity of the worst particle in the initial population.

[0051] Principle of the present invention: particle swarm algorithm is an evolutionary computing technology proposed by Dr. Kennedy and Dr. Eberhart, and its core idea is the simulation of biological social behavior. Assuming that there is only one piece of food in the food search area, all the birds do not know where the food is. Kennedy et al. believe that there is mutual exchange of information between birds. By estimating their own fitness value, they know how far away the current position is from the food. How far away, so searching the surrounding area of ​​the bird closest to the food is the simplest and most effective way to find the food, and the group can be optimized through the collective cooperation among the birds. Particle swarm optimization...

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Abstract

A steam flooding injection and production scheme determining method based on stochastic disturbance particle swarm optimization aims to resolve the problem that parameters of an existing steam flooding injection and production scheme determining method, which need to be adjusted, are multiple, operation is complex, calculating speed is slow, and an injection and production scheme is not optimal. A real number coding mode shows injection and production parameters to be determined, a disturbance operator is led in to guarantee population diversity and globally optimal solution. In an improved particle swarm optimization solving process, different injection and production schemes correspond to different particles, fitness of each particle is evaluated by accumulative oil and steam ratio obtained by a microcosmic steam flooding analytic model, and the finally obtained particle with the largest accumulative oil and steam ratio is the optimal steam flooding injection and production scheme. The steam flooding injection and production scheme determining method is used for determining a steam flooding injection and production scheme in a thickened oil deposit region. The parameters of an existing steam flooding injection and production scheme determining method, which need to be adjusted, are fewer, operation is simple, convergence rate is faster, the parameters are determined accurately, and the selected scheme is optimal.

Description

technical field [0001] The invention relates to a method for determining a steam-flooding injection-production scheme, in particular to a method for determining a steam-flooding injection-production scheme based on a random disturbance particle swarm algorithm. Background technique [0002] With the continuous development of the global economy, the status of oil is becoming more and more important. In the case of thin oil resources are constantly decreasing, people pay more and more attention to the exploitation of heavy oil. At present, my country's annual output of heavy oil has reached 30 million tons, accounting for about 10% of the country's crude oil output, and it plays a very important role in the sustainable development of my country's entire petroleum industry. Steam flooding is one of the main means of developing heavy oil reservoirs, and the scale of implementation is constantly expanding. Steam flooding is to continuously inject steam from injection wells accor...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): E21B43/24G06N3/00
Inventor 倪红梅范英才刘涛李秀峦刘春泽
Owner NORTHEAST GASOLINEEUM UNIV