Reducing Energy Consumption and Enhancing Trapping and Capacity of Co2 Sequestration: The Effects of Pore Heterogeneity and Fluid Properties

Author:

Lao Junming,Xie Zhenhuan,Du Shuyi,Zhou Yiyang,Song Hongqing

Publisher

Elsevier BV

Reference40 articles.

1. An enhanced prediction framework for coalbed methane production incorporating deep learning and transfer learning;S Du;J]. ENERGY,2023

2. A systematic data-driven approach for production forecasting of coalbed methane incorporating deep learning and ensemble learning adapted to complex production patterns;S Du;ENERGY,2023

3. Energy consumption and greenhouse gas emissions of diesel/LNG heavyduty vehicle fleets in China based on a bottom-up model analysis;H Song;ENERGY,2017

4. Energy related CO2 emissions and the progress on CCS projects: A review;Huaman R N E;RENEWABLE & SUSTAINABLE ENERGY REVIEWS,2014

5. Cryogenic-based CO2 capture technologies: State-of-the-art developments and current challenges[J];C Song;RENEWABLE & SUSTAINABLE ENERGY REVIEWS,2019

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