Support Vector Regression Based on the Particle Swarm Optimization Algorithm for Tight Oil Recovery Prediction
Author:
Affiliation:
1. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China
2. Department of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, China
Funder
National Natural Science Foundation of China
Publisher
American Chemical Society (ACS)
Subject
General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acsomega.1c04923
Reference31 articles.
1. Development characteristics and orientation of tight oil and gas in China
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5. Water invasion and remaining gas distribution in carbonate gas reservoirs using core displacement and NMR
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