One of the most important components is data from the oil and gas industry. Data is likewise crude. It's valuable, but it can't be used if it's not purified. Every day, most organizations deal with a large volume of data. They evaluate them and try to come up with new solutions. Big Data analytics has piqued the interest of the oil and gas industry. A successful oil company will forecast potential information promptly and maintain costs low in order to achieve success without losing any discrepancy in the data set's appraisal. The quality of the data and an insight of the problem's complexity are two more difficult aspects to overcome when using Big Data.
Title : Role of green hydrogen in CO2 emission mitigation in oil refining
John W. Sheffield, Purdue University, United States
Title : World oil prices: Has china played a role?
Raymond Li, University of Canberra, Australia
Title : Production and completion technologies- Ways to optimize process Comprehensive report on CBA#11 well operations and significance of casing patch and fish recovery operations
Sourav Paul, Oil India Limited, India
Title : Innovative chemical additives as pour point depressants
Irina Giebelhaus, BYK-Chemie GmbH, Germany
Title : Mechanical damage behavior and constitutive model of cement sheath under ultra-high temperature thermal cycling
Lin Yuanhua, Southwest Petroleum University, China
Title : Mediterranean Ridge (MR) could be the equivalent of the Apulian Platform (AP) and the Hellenic Trench (HT) the equivalent of the Apulian Platform Margins (APM)? Their application to the hydrocarbon prospectivity.
Avraam Zelilidis, University of Patras, Greece