Data-Driven Reservoir Modeling

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.
Data-Driven Reservoir Modeling is intended to introduce a technology that is relatively new to petroleum engineers and geoscientists whose day-to-day job responsibilities always bring them to junctures where critical technical decisions need to be made and strategies need to be established. The technology covered in this book adds another decision-making tool to the arsenal of upstream technologists of the petroleum industry. This book should also be useful to petroleum engineering and geosciences undergraduate students in their junior or senior year, as well as to graduate students


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