Novel Way to Predict the MMP of a CO<sub>2</sub>–Oil System Using Stacking Models-Reference-Cited by-同舟云学术

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Novel Way to Predict the MMP of a CO₂–Oil System Using Stacking Models

Published:2023-01-03 Issue:2 Volume:37 Page:935-944
ISSN:0887-0624
Container-title:Energy & Fuels
language:en
Short-container-title:Energy Fuels

Author:

Liu Bingguan¹,Wang Zhilin²,Jin Yong²,Ge Zhengjun²,Xu Chenghao³⁴,Liu Haipeng³⁴,Chen Hao³⁴^ORCID

Affiliation:

1. Sinopec Jiangsu Oilfield Company, Yangzhou210059, Jiangsu, China

2. Jiangsu Oil-field Engineering Institute, Yangzhou210059, Jiangsu, China

3. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing102249, China

4. College of Safety and Ocean Engineering, China University of Petroleum (Beijing), Beijing102249, China

Funder

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.energyfuels.2c03033

Reference54 articles.

1. A Storage-Driven CO2 EOR for a Net-Zero Emission Target

2. Development and application of a machine learning based multi-objective optimization workflow for CO2-EOR projects

3. Isolated mechanism study on in situ CO2 EOR

4. Simulation and energy analysis of CO2 capture from CO2-EOR extraction gas using cryogenic fractionation

5. Research on microscopic oil displacement mechanism of CO 2 EOR in extra-high water cut reservoirs

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