Development of a rule based model to predict CO2 storage stability in geological sites using logical analysis of data

• Main Authors: Estrada, Aeron, Luychinco, Wynne Caira, Ouyang, Janesa Kaylin, Yu, Jyllian Reine
• Format: text
• Language: English
• Published: Animo Repository 2023
• Subjects: Carbon sequestration; Chemical Engineering; Engineering
• Online Access: https://animorepository.dlsu.edu.ph/etdb_chemeng/28; https://animorepository.dlsu.edu.ph/context/etdb_chemeng/article/1025/viewcontent/Development_of_a_Rule_Based_Model_to_Predict_CO2_Storage_Stabilit_copy.pdf
• Institution: De La Salle University

Given the increasing amount of CO2 in the air, carbon sequestration underground in geological formations has become a necessity. The geological storage sites need to be secure to prevent the CO2 stored from leaking out and entering the atmosphere further contributing to the increase of greenhouse ga...