This article aims to provide a glance about the current and future applications of Big Data Analytics (BDA) within the Oil&Gas industry, which is searching for an improvement in data managing equal to the improvement in techniques and technologies required by current and future hydrocarbon production. The connection and compatibility of BDA with the hydrocarbon sector is analyzed, highlighting its multiple applications, most of them already present in an early stage. Special emphasis is made on the description of case studies (related to prospection, drilling and reservoir production optimization) looking at the new challenges the industry needs to overcome in order to get the maximum of this tool, extract value and increasing profits. New trends and forecast of possible areas to work on are also discussed.

A glance about the Big Data Analytics in the Oil&Gas industry / Garcia Navarro, Alberto Manuel; Capozzoli, Alfonso; Rocca, Vera; Romagnoli, Raffaele. - In: GEAM. GEOINGEGNERIA AMBIENTALE E MINERARIA. - ISSN 1121-9041. - ELETTRONICO. - 2:(2020), pp. 36-43.

A glance about the Big Data Analytics in the Oil&Gas industry

Garcia Navarro, Alberto Manuel;Capozzoli,Alfonso;Rocca,Vera;Romagnoli, Raffaele
2020

Abstract

This article aims to provide a glance about the current and future applications of Big Data Analytics (BDA) within the Oil&Gas industry, which is searching for an improvement in data managing equal to the improvement in techniques and technologies required by current and future hydrocarbon production. The connection and compatibility of BDA with the hydrocarbon sector is analyzed, highlighting its multiple applications, most of them already present in an early stage. Special emphasis is made on the description of case studies (related to prospection, drilling and reservoir production optimization) looking at the new challenges the industry needs to overcome in order to get the maximum of this tool, extract value and increasing profits. New trends and forecast of possible areas to work on are also discussed.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2849949