Data-Driven Approaches to Predict Thermal Maturity Indices of Organic Matter Using Artificial Neural Networks
Author:
Affiliation:
1. King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia
Funder
College of Petroleum and Minerals, King Fahd University of Petroleum and Minerals
Publisher
American Chemical Society (ACS)
Subject
General Chemical Engineering,General Chemistry
Link
http://pubs.acs.org/doi/pdf/10.1021/acsomega.0c03751
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