Unconventional Hydrocarbon Resources Prediction And Modeling Using Artificial Intelligence Approaches

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Unconventional Hydrocarbon Resources: Prediction and Modeling Using Artificial Intelligence Approaches

Unconventional Hydrocarbon Resources: Prediction and Modeling Using Artificial Intelligence Approaches
Author :
Publisher : John Wiley & Sons
Total Pages : 324
Release :
ISBN-10 : 9781119389378
ISBN-13 : 1119389372
Rating : 4/5 (372 Downloads)

Book Synopsis Unconventional Hydrocarbon Resources: Prediction and Modeling Using Artificial Intelligence Approaches by : Sid-Ali Ouadfeul

Download or read book Unconventional Hydrocarbon Resources: Prediction and Modeling Using Artificial Intelligence Approaches written by Sid-Ali Ouadfeul and published by John Wiley & Sons. This book was released on 2023-08-02 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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