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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.
As an industry, we look for low carbon intensity recovery techniques (or low energy processes), with small environmental footprints that yield acceptable recovery factors. This monograph works through the easier to implement options such as heavy-oil solution gas drive, mobility control, and solvents to the more difficult to design and engineer processes, such as in-situ combustion.
It builds on existing heavy-oil recovery literature, offering a short review of classical thermal recovery methods and relevant theories. It also emphasizes the application of new technologies for frequently occurring challenges when seeking environmentally friendly processes.
Fuel Your Knowledge with a New SPE Book
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.
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