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Home / Journals / International Journal of Oil, Gas and Coal Engineering / Computer-Aided Reservoir Characterization Methods
Computer-Aided Reservoir Characterization Methods
Lead Guest Editor:
Haibin Di
Department of Geology & Geography, West Virginia University, Morgantown, West Virginia, USA
Guest Editors
Payam Kavousi
Department of Geology and Geography, West Virginia University
Morgantown, West Virginia, USA
Yu Chen
Los Alamos national Laboratory
Los Alamos, New Mexico, USA
Dr. Shuvajit Bhattacharya
Energy Resources, Battelle Memorial Institute
Columbus, Ohio, USA
Yaping Huang
School of Resource and Geosciences, China University of Mining and Technology
Xuzhou, Jiangsu, China
Godwin Emujakporue
Physics/Science, University of Port Harcourt
Port Harcourt, Rivers State, Nigeria
Dr. Prince Suka Momta
Geology, University of Port Harcourt
Port Harcourt, Rivers State, Nigeria
Charles Ugwu Ugwueze
Geology/Science, University of Port Harcourt
Port Harcourt, Rivers State, Nigeria
Zhen Wang
School of Electrical and Computer Engineering, Georgia Institute of Technology
Atlanta, Georgia, USA
Liaosha Song
Department of Geology and Geography, West Virginia University
Morgantown, West Virginia, USA
Zhi Zhong
Department of Geology and Geography, West Virginia University
Morgantown, West Virginia, USA
Introduction
Reservoir characterization and modeling is essential in the industry of hydrocarbon exploration and production, and in practice, such work often involves interdisciplinary collaboration of geology, geophysics, petrophysics, and petroleum engineering. With the recent developments in computing capacity and data visualization as well as the high demand for high-resolution subsurface interpretation, the volume of data available is rapidly exploding, especially the 3D seismic surveys, well logs and core information. Meanwhile, reliable reservoir characterization requires a combination of information from geoscience and geoengineering in an automatic or semiautomatic manner, so that a full description of the reservoir properties could be obtained. The purpose of this special issue is to provide techniques for understanding the state-of-the-art in computer-aided reservoir characterization and interpretation.

Aim and Scop:

We are seeking submissions on related topics including but not restricted to:
New methods for subsurface interpretation and formation evaluation
New algorithms for processing and interpreting geophysical data (e.g., seismic data and well log)
New tools for data correlation from different sources (e.g., seismic survey and drilling)
New geologic insights obtained using computer-aided reservoir characterization
Case studies of reservoir characterization
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