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Unconventional Hydrocarbon Resources: Prediction and Modeling Using Artificial Intelligence Approaches (Hardcover)
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Unconventional Hydrocarbon Resources: Prediction and Modeling Using Artificial Intelligence Approaches (Hardcover)
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Unconventional Hydrocarbon Resources Enables readers to save time
and effort in exploring and exploiting shale gas and other
unconventional fossil fuels by making use of advanced predictive
tools Unconventional Hydrocarbon Resources highlights novel
concepts and techniques for the geophysical exploration of shale
and other tight hydrocarbon reservoirs, focusing on artificial
intelligence approaches for modeling and predicting key reservoir
properties such as pore pressure, water saturation, and wellbore
stability. Numerous application examples and case studies present
real-life data from different unconventional hydrocarbon fields
such as the Barnett Shale (USA), the Williston Basin (USA), and the
Berkine Basin (Algeria). Unconventional Hydrocarbon Resources
explores a wide range of reservoir properties, including modeling
of the geomechanics of shale gas reservoirs, petrophysics analysis
of shale and tight sand gas reservoirs, and prediction of hydraulic
fracturing effects, fluid flow, and permeability. Sample topics
covered in Unconventional Hydrocarbon Resources include:
Calculation of petrophysical parameter curves for non-conventional
reservoir modeling and characterization Comparison of the
Levenberg-Marquardt and conjugate gradient learning methods for
total organic carbon prediction in the Barnett shale gas reservoir
Use of pore effective compressibility for quantitative evaluation
of low resistive pays and identifying sweet spots in shale
reservoirs Pre-drill pore pressure estimation in shale gas
reservoirs using seismic genetic inversion Using well-log data to
classify lithofacies of a shale gas reservoir Unconventional
Hydrocarbon Resources is a valuable resource for researchers and
professionals working on unconventional hydrocarbon exploration and
in geoengineering projects.
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