Mathematical Geoenergy

Mathematical Geoenergy
Author: Paul Pukite
Publisher: John Wiley & Sons
Total Pages: 373
Release: 2019-01-07
Genre: Science
ISBN: 1119434297


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A rigorous mathematical problem-solving framework for analyzing the Earth’s energy resources GeoEnergy encompasses the range of energy technologies and sources that interact with the geological subsurface. Fossil fuel availability studies have historically lacked concise modeling, tending instead toward heuristics and overly-complex processes. Mathematical GeoEnergy: Oil Discovery, Depletion and Renewal details leading-edge research based on a mathematically-oriented approach to geoenergy analysis. Volume highlights include: Applies a formal mathematical framework to oil discovery, depletion, and analysis Employs first-order applied physics modeling, decreasing computational resource requirements Illustrates model interpolation and extrapolation to fill out missing or indeterminate data Covers both stochastic and deterministic mathematical processes for historical analysis and prediction Emphasizes the importance of up-to-date data, accessed through the companion website Demonstrates the advantages of mathematical modeling over conventional heuristic and empirical approaches Accurately analyzes the past and predicts the future of geoenergy depletion and renewal using models derived from observed production data Intuitive mathematical models and readily available algorithms make Mathematical GeoEnergy: Oil Discovery, Depletion and Renewal an insightful and invaluable resource for scientists and engineers using robust statistical and analytical tools applicable to oil discovery, reservoir sizing, dispersion, production models, reserve growth, and more.


Mathematical Geoenergy
Language: en
Pages: 373
Authors: Paul Pukite
Categories: Science
Type: BOOK - Published: 2019-01-07 - Publisher: John Wiley & Sons

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A rigorous mathematical problem-solving framework for analyzing the Earth’s energy resources GeoEnergy encompasses the range of energy technologies and source
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Authors: Mercedes Del Río Celestino
Categories: Science
Type: BOOK - Published: 2020-05-27 - Publisher: MDPI

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This Special Issue gathers 14 original research papers to disseminate new data on phytochemicals from vegetables and fruits, which are recommended for their hea
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Type: BOOK - Published: 2022-02-14 - Publisher: Springer Nature

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This book is open access under a CC BY 4.0 license This open access book brings together the latest genome base prediction models currently being used by statis
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Type: BOOK - Published: 2013-09-03 - Publisher: John Wiley & Sons

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Language: en
Pages: 208
Authors: Stephen Emmott
Categories: Political Science
Type: BOOK - Published: 2013-09-10 - Publisher: Vintage

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Deforestation. Desertification. Species extinction. Global warming. Growing threats to food and water. The driving issues of our times are the result of one hug