Data-Driven Connectionist Models for Performance Prediction of Low Salinity Waterflooding in Sandstone Reservoirs
Author:
Affiliation:
1. Petroleum Engineering Program, School of Mining and Geosciences, Nazarbayev University, 53 Kabanbay Batyr Avenue, Nur−Sultan 010000, Kazakhstan
Funder
Nazarbayev University
Publisher
American Chemical Society (ACS)
Subject
General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acsomega.1c05493
Reference168 articles.
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3. Almeida da Costa, A.; Jaeger, P.; Santos, J.; Soares, J.; Trivedi, J.; Embiruçu, M.; Meyberg, G. The Influence of Rock Composition and pH on Reservoir Wettability for Low Salinity Water-CO2 EOR Applications in Brazilian Reservoirs, SPE Annual Technical Conference and Exhibition, Calgary, Alberta, Canada, 2019.
4. An investigation into the roles of chlorides and sulphate salts on the performance of low-salinity injection in sandstone reservoirs: experimental approach
5. Al-Saedi, H. N.; Qubian, A.; Al-Bazzaz, W.; Flori, R. Experimental Study of Low Salinity Water Flooding: The Effect of Polar Organic Components in Low-Permeable Sandstone Reservoir, International Petroleum Technology Conference, Dhahran, Kingdom of Saudi Arabia, 2020.
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