Hassan Khaled Hassan Baabbad
Data-Analytics Based Investigation of Controlling Parameters of CO2 Sequestration in Depleted Unconventional Reservoirs.
Rel. Vera Rocca, Emre Artun. Politecnico di Torino, Corso di laurea magistrale in Petroleum And Mining Engineering (Ingegneria Del Petrolio E Mineraria), 2021
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Abstract
The Paris Agreement on climate change in 2015 changed the entire landscape of the oil and gas industry. Fortunately, the oil and gas industry is the only industry in the world with the technology and experience of dealing with enormous volumes of fluid, such as CO2 and storing these volumes in deep underground as a means to mitigate climate change. Several organizations have used laboratory experiments and numerical reservoir simulators to model and discern the behavior of CO2 sequestration. Nonetheless, these methods have high computational cost. Besides, studies have been done on the use of data-driven statistical techniques, these studies mainly focused on production optimization in unconventional reservoirs.
In this study, a data-analytics based investigation was carried out to develop insights and analyze the primary variables that affect CO2 sequestration process in unconventional reservoirs
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