Recent advances in deep learning algorithms, artificial intelligence and increases in computational efficiency have driven modern-day decision making through the analysis and interpretation of big data. The digital and connected oil field has led to petabytes of rich, heterogeneous data from a diverse set of sources such as drilling operations, production data, completions, surveillance operations, GIS, 3D and 4D seismic, geological interpretation, and well data such as logs, core, thin sections, and even SEM images. To gain actionable insights as well as to uncover hidden and natural patterns and correlations from such diverse data necessitates seamless interactions between computational scale,...
Introduction to special section: Insights to digital oilfield data using artificial intelligence and big data analytics
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Vikram Jayaram, Atish Roy, Bill Barna, Deepak Devegowda, Jacqueline Floyd, Pradeepkumar Ashok, Aria Abubakar, Anisha Kaul, Emmanuel Schnetzler; Introduction to special section: Insights to digital oilfield data using artificial intelligence and big data analytics. Interpretation ; 7 (3): SFi. doi: https://doi.org/10.1190/INT-2019-0618-SPSEINTRO.1
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