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Low-Energy Processes for Unconventional Oil Recovery addresses reservoir engineering, low-energy recovery processes, and resource access challenges for abundant unconventional oil. This includes bitumen, shale, heavy, and viscous oil.
Data-Driven Reservoir Modeling introduces new technology and intelligent systems for applying data analytics to solve real-world reservoir engineering problems.
The book describes how to use machine-learning-based algorithmic protocols to reduce large quantities of data down to actionable, tractable quantities. Through data manipulation via artificial intelligence, the reader learns how to exploit imprecision and uncertainty to achieve robust, low-cost, and effective solutions.
SPE Journal includes fundamental research papers on all aspects of engineering for oil and gas exploration and production.
SPE Reservoir Evaluation & Engineering covers a wide range of topics, including reservoir characterization, geology and geophysics, core analysis, well logging, well testing, reservoir management, EOR, fluid mechanics, performance prediction, and reservoir simulation.
Join industry experts as they explore solutions to real problems and discuss trending topics in reservoir engineering.
SPE webinars are free to members courtesy of the SPE Foundation.