Fractured reservoir CO2 drive flow simulation method using neural network technology

A neural network model and neural network technology, applied in the field of CO2 flooding flow simulation in fractured reservoirs, can solve the problems of complex grid division and large calculation amount of discrete fracture models, reduce calculation amount, improve prediction accuracy, The effect of reducing computational complexity

Pending Publication Date: 2022-03-04
CHINA PETROLEUM & CHEM CORP +1
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However, for the oilfield-level model, the discrete fracture model st

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  • Fractured reservoir CO2 drive flow simulation method using neural network technology
  • Fractured reservoir CO2 drive flow simulation method using neural network technology
  • Fractured reservoir CO2 drive flow simulation method using neural network technology

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[0065] It should be noted that the following detailed description is exemplary and intended to provide further explanation of the present invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0066] It should be noted that the terminology used here is only for describing specific embodiments, and is not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations and / or combinations thereof.

[0067] In order to enable those skilled in the art to understand the technical solution of the present invention more clearly, the technical solution of th...

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Abstract

The invention relates to a fractured reservoir CO2 oil displacement flow simulation method, in particular to a fractured reservoir CO2 oil displacement flow simulation method utilizing a neural network technology. The method comprises the following steps that a target oil reservoir is surveyed, oil reservoir geological parameters and fracture geometric parameters are collected, and a fractured oil reservoir geometric model is established; establishing a flash calculation model based on a neural network; establishing an embedded discrete crack model to describe the crack; establishing a component model to describe the CO2 oil displacement process; and combining the flash calculation model based on the neural network model with the component model, considering an embedded discrete fracture model, establishing a fractured reservoir CO2 oil displacement flow model, and performing numerical solution. According to the method, flash evaporation calculation can be rapidly and stably carried out by utilizing the advantages of the neural network, the convergence speed of calculation is improved, and meanwhile, the influence of cracks on CO2 oil displacement is accurately described.

Description

technical field [0001] The invention relates to a fractured oil reservoir CO 2 Oil displacement flow simulation method, especially related to a fractured reservoir CO2 using neural network technology 2 flooding simulation method. Background technique [0002] my country is rich in low-permeability and tight oil reservoirs, which have become the main growth point of reserves. However, the reservoir properties of this type of oil and gas reservoirs are poor. Affected by deep burial, small well control range, and low abundance, conventional water flooding development is difficult to produce, with no natural productivity or low production; the produced reserves have low single-well capacity and low recovery, and it is urgent to find new ways to enhance recovery method. [0003] Note CO 2 Oil flooding technology is an ideal method. Field gas injection experiments show that the gas injection capacity is more than 5 times that of water, which can quickly replenish the energy ...

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Application Information

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IPC IPC(8): G06F30/27G06F30/28E21B43/16G06N3/04G06N3/08G06F111/10G06F113/08G06F119/14G06F119/08
CPCG06F30/27G06F30/28E21B43/164G06N3/08G06F2111/10G06F2113/08G06F2119/14G06F2119/08G06N3/045
Inventor 杨勇张世明张庆福吕广忠韩凤蕊王丽娜李弘博张传宝李友全张东
Owner CHINA PETROLEUM & CHEM CORP
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