"Future Trends", Data Analytics in Reservoir Engineering, Sathish Sankaran, Sebastien Matringe, Mohamed Sidahmed, Luigi Saputelli, Xian-Huan Wen, Andrei Popa, Serkan Dursun
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Oil and gas operations are becoming increasingly more complex; with infrastructures dramatically expanding and more-sophisticated systems used both offshore and onshore. Environmental, safety, and regulatory pressure also continues to rise. Additionally, new workforce challenges are emerging as part of the big crew change.
In response, companies are preparing for sustained low prices and competitive landscape with the success of unconventionals by embracing innovative technologies led by data analytics and adopting external trends. Several reservoir engineering advancements are being led through data-driven insights and subsurface analytics.
At the basic level, certain repetitive jobs involving data migration, data processing, and event detection are being automated, freeing up reservoir engineers to perform more analysis and interpretations. In this case, automation augments reservoir engineers doing more with less.
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