SPE TECHNICAL DISCIPLINES
Data Science and Engineering Analytics
University of Texas at Austin
Data Science and Engineering Analytics News
SPE Energy Stream
SPE Energy Stream is your go-to for watching thought leaders, subject-matter experts, and leading companies share their perspectives and technical solutions.
Data Science and Digital Engineering is SPE's newest online publication, presenting the evolving landscape of data management and use in the industry with original content from SPE and content curated from other relevant publications.
Data-Driven Reservoir Modeling
Shahab D. Mohaghegh
Data-Driven Reservoir Modeling introduces new technology and protocols (intelligent systems) that teach the reader how to apply data analytics to solve real-world, reservoir engineering problems. The book describes how to utilize machine-learning-based algorithmic protocols to reduce large quantities of difficult-to-understand data down to actionable, tractable quantities. Through data manipulation via artificial intelligence, the user learns how to exploit imprecision and uncertainty to achieve tractable, robust, low-cost, effective, actionable solutions to challenges facing upstream technologists in the petroleum industry.
Watch a video of Shahab D. Mohaghegh describing his new book.