Unconventional Hydrocarbon Resources: Prediction a nd Modeling Using Artificial Intelligence Approach es

Name: Unconventional Hydrocarbon Resources: Prediction a nd Modeling Using Artificial Intelligence Approach es
Brand: John Wiley & Sons Inc
SKU: 9781119389361
Price: 69861 HUF
Availability: InStock

Szerző: SA Ouadfeul

Nyelv:

Kötés: Kemény kötésű

Kiadó: John Wiley & Sons Inc

Elérhetőség: Beszállítói készleten

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Unconventional Hydrocarbon Resources Enables readers to save time and effort in exploring and exploi...

Információk a könyvről

Szerző

SA Ouadfeul

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2023

oldal

350

EAN

9781119389361

ISBN

1119389364

Enbook ID

38609036

Kiadó

John Wiley & Sons Inc

Súly

666

Teljes leírás

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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Unconventional Hydrocarbon Resources: Prediction a nd Modeling Using Artificial Intelligence Approach es

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