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Method for quantitatively predicting exploitation and storage of carbon dioxide enhanced gas reservoir

A carbon dioxide, enhanced gas technology, used in design optimization/simulation, special data processing applications, etc.

Active Publication Date: 2021-12-21
HUANENG CLEAN ENERGY RES INST +1
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  • Claims
  • Application Information

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Problems solved by technology

Due to the limitations of this method on the simulation scale, existing models can only predict a single depressurization process or a single CO2 injection process

Method used

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  • Method for quantitatively predicting exploitation and storage of carbon dioxide enhanced gas reservoir
  • Method for quantitatively predicting exploitation and storage of carbon dioxide enhanced gas reservoir
  • Method for quantitatively predicting exploitation and storage of carbon dioxide enhanced gas reservoir

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Embodiment Construction

[0028] The invention provides a method for quantitatively predicting carbon dioxide enhanced gas reservoir exploitation and storage, comprising the following steps:

[0029] A) Using molecular dynamics method to build a rock pore structure model conforming to the core characteristics of the target gas reservoir, and optimize the structure;

[0030] B) Simulation of CO using the giant canonical Monte Carlo method 2 and CH4 The adsorption process of the gas in the rock pore structure model obtained in the step A) is calculated to obtain CH under different pressures. 4 Single component, CH 4 / CO 2 Mixed gas, CO 2 Adsorption isotherms of single components in rock pores;

[0031] C) According to the initial reservoir pressure and depressurization range, the CH in the pores before and after depressurization can be obtained from the adsorption isotherm 4 density;

[0032] Then the injected CO is calculated according to the Peng-Robinson equation of state (PR-EOS) 2 After the s...

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Abstract

The invention provides a method for quantitatively predicting exploitation and storage of a carbon dioxide enhanced gas reservoir, which realizes simulation reduction of multiple continuous injection-production processes in a mode of combining GCMC and PR-EOS, and comprises a primary pressure reduction process and multiple CO2 swallowing-spitting processes. Adsorption simulation of gas molecules in rock pores at different temperatures and pressures is realized by adopting a GCMC algorithm, an adsorption isotherm map of methane / carbon dioxide in the rock pores at a reservoir temperature is obtained, and the map is taken as a reference of gas density change in the rock pores in an injection-production process; and the pressure intensity of the system after CO2 injection is calculated through PR-EOS, and continuous injection and production are achieved. The yield increasing effect of CO2 can be quantitatively evaluated, the optimal exploitation path is obtained by comparing the methane recovery efficiency and the carbon dioxide storage rate under different injection paths, and the invention has guiding significance on engineering design of CO2 enhanced gas reservoir exploitation.

Description

technical field [0001] The invention belongs to the technical field of utilization and sequestration of carbon dioxide, in particular to a method for quantitatively predicting the exploitation and sequestration of carbon dioxide-enhanced gas reservoirs. Background technique [0002] Currently, for CO 2 The research on the effect and mechanism of enhanced gas reservoir recovery is still in the preliminary stage, and different CO 2 The impact of injection path and injection volume on gas reservoir production and CO 2 The impact of storage is unclear, and experiments and field trials are difficult, costly, and time-consuming. Therefore, it is necessary to simulate the CO 2 Enhance gas reservoir recovery process, predict gas reservoir recovery and CO under different injection paths 2 storage rate. [0003] Some scholars have used molecular dynamics (MD) to study the CO in rock pores. 2 Substitution of CH 4 the behavior of. Due to the limitations of this method on the sim...

Claims

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Application Information

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IPC IPC(8): G06F30/20
CPCG06F30/20Y02C20/40B01D53/0454B01D2253/106B01D2259/4525G16C20/10E21B43/164E21B41/0064E21B2200/20G01N9/36G01N15/088
Inventor 周娟
Owner HUANENG CLEAN ENERGY RES INST
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