![Electroencephalography and Magnetoencephalography : An Analytical-Numerical Approach Electroencephalography and Magnetoencephalography : An Analytical-Numerical Approach](https://cdn11.bigcommerce.com/s-gibnfyxosi/images/stencil/300x300/products/1016823/1047102/9783110545838__26051.1641628788.jpg?c=1)
Reservoir Engineering Models: Analytical and Numerical Approaches
McGraw Hill
ISBN13:
9781259585630
$210.45
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Develop, build, and deploy accurate mathematical models for hydrocarbon reservoirs This practical resource discusses the construction of reservoir models and the implementation of these models in both forward and inverse modes using numerical, analytical, empirical, and artificial intelligence techniques. Written by a pair of experts in the field, Reservoir Engineering Models: Analytical and Numerical Approaches clearly explains the complicated building processes of mathematical models and lays out cutting-edge solution protocols. Advanced chapters teach the assembly of complex physical processes using principles of physics, thermodynamics and mathematics. You will learn to optimize decision-making processes applicable to the management of field development and extraction activities. Coverage includes: òAn introduction to reservoir engineering modelsòMathematics of reservoir engineeringòReservoir engineering fundamentalsòHydrocarbon fluid models and thermodynamicsòReservoir engineering transport equationsòAnalytical and numerical reservoir engineering solutionsòProxy and hybrid models in reservoir engineering
- | Author: Luis F. Ayala, Turgay Ertekin
- | Publisher: McGraw Hill
- | Publication Date: Nov 01, 2018
- | Number of Pages: 368 pages
- | Language: English
- | Binding: Hardcover/Technology & Engineering
- | ISBN-10: 1259585638
- | ISBN-13: 9781259585630
- Author:
- Luis F. Ayala, Turgay Ertekin
- Publisher:
- McGraw Hill
- Publication Date:
- Nov 01, 2018
- Number of pages:
- 368 pages
- Language:
- English
- Binding:
- Hardcover/Technology & Engineering
- ISBN-10:
- 1259585638
- ISBN-13:
- 9781259585630