Modelling of flue gas injection and collaborative optimization of multi-injection parameters for efficient coal-based carbon sequestration combined with BP neural network parallel genetic algorithms-Reference-Cited by-同舟云学术

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Modelling of flue gas injection and collaborative optimization of multi-injection parameters for efficient coal-based carbon sequestration combined with BP neural network parallel genetic algorithms

Published:2024-07 Issue: Volume:368 Page:131536
ISSN:0016-2361
Container-title:Fuel
language:en
Short-container-title:Fuel

Author:

Fan Zhanglei^ORCID,Fan Gangwei^ORCID,Zhang Dongsheng,Zhang Lei,Chai Yujian,Yu Wei

Publisher

Elsevier BV

Reference71 articles.

1. Laboratory characterisation of fracture compressibility for coal and shale gas reservoir rocks: a review;Tan;Int J Coal Geol,2019

2. Numerical analysis of improvements to CO2 injectivity in coal seams through stimulated Fracture connection to the injection well;Chen;Rock Mech Rock Eng,2020

3. Molecular simulation of supercritical CO2 extracting organic matter from coal based on the technology of CO2-ECBM;Lu;Energy,2023

4. China's carbon capture, utilization and storage (CCUS) policy: a critical review;Jiang;Renew Sustain Energy Rev,2020

5. CO2 storage in coal to enhance coalbed methane recovery: a review of field experiments in China;Pan;Int Geol Rev,2018

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