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

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

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...

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Main Authors:	Estrada, Aeron, Luychinco, Wynne Caira, Ouyang, Janesa Kaylin, Yu, Jyllian Reine
格式:	text
語言:	English
出版:	Animo Repository 2023
主題:	Carbon sequestration Chemical Engineering Engineering
在線閱讀:	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
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