Behzad Amiri
A Fast and accurate investigation into CO2 Storage challenges by Making a Proxy Model on a Developed Static Model with The Application of Artificial Intelligence/Machine Learning.
Rel. Vera Rocca, Ashkan Jahanbani Ghahfarokhi. Politecnico di Torino, Corso di laurea magistrale in Petroleum And Mining Engineering (Ingegneria Del Petrolio E Mineraria), 2022
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Abstract
CO2 emissions as the root of global warming have been intended to be cut by net zero until 2050. CCS is a technology capable of capturing produced CO2 in energy sectors and industries to be injected and stored into the subsurface geological formations like depleted oil and gas reservoirs and aquifers possessing effective trapping mechanisms rather than emissions in the atmosphere. CO2 storage involves drilling an injection well, injection, well control, and CO2 propagation within geological storage, governed by petroleum engineering principles. Therefore, oil and gas companies, besides petroleum engineers, are responsible for the exploration and assessment of viable storages in addition to execution.
Among multiple risks, fracturing in caprock and around the wellbore, in addition to leakage through geological paths and legacy wells, are the predominant ones that follow CO2 injection and storage
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