Big data analytics in upstream oil and gas industries for sustainable exploration and development: A review

Big data analytics in upstream oil and gas industries for sustainable exploration and development: A review

Big data

Planning

Sustainable development

Support vector machines

Petroleum prospecting

Infill drilling

Data Analytics

This paper reviews how upstream oil and gas organizations can rapidly dissect an expansive volume of data by taking steps to amalgamate all the data by combining the operational data and drilling rig sensor data to real-time windows using advanced analytics to mine the data for formation evaluation in the reservoir. Examination and impending the data to complex models progressively are carried out using multiple linear regressions and support vector machines to predict uncertainty. They can create strategic bits of knowledge that assist in execution while anticipating issues that help to increase drilling and production performances. Over all big data analytics helps for the sustainable development of oil and gas Industries. 2020 Elsevier B.V.

21

Desai, Jas Nitesh

Pandian, Sivakumar

Vij, Rakesh Kumar

Environmental Technology and Innovation

2021

journalArticle

23521864

10.1016/j.eti.2020.101186