Seismic Data Analysis Techniques in Hydrocarbon Exploration
Enwenode Onajite
Sep 2013 · Elsevier
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About this ebook
Seismic Data Analysis Techniques in Hydrocarbon Exploration explains the fundamental concepts and skills used to acquire seismic data in the oil industry and the step-by-step techniques necessary to extract the sections that trap hydrocarbons as well as seismic data interpretation skills. It enhances the ability to interpret seismic data and use that data for basin evaluation, structural modeling of a fault, reservoir characterization, rock physics analysis, field development, and production studies. Understanding and interpreting seismic data is critical to oil and gas exploration companies. Arming young geoscientists with a reference that covers the key principles of seismic data analysis will enhance their job knowledge, skills and performance. A fundamental grasp of seismic data enhances employability and aids scientists in functioning effectively when working with seismic data in industry. - Edited by a team of petroleum geoscientists with more than 30 years of experience in hydrocarbon exploration and data analysis at O&G companies. - More than 200 figures, photographs, and illustrations aid in the understanding of the fundamental concepts and techniques used to acquire seismic data - Takes an easy-to-follow, step-by-step approach to presenting the techniques and skills used to extract the geologic sections from acquired seismic data. - Enhances the geoscientist's effectiveness when using seismic data for field development and other exploration and production studies
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About the author
Enwenode Onajite, M.Sc, is a former research reservoir geophysicist with Shell Petroleum Development Company of Nigeria (SPDC). He is now an independent research reservoir geophysicist, as well as an associate member of the Nigerian Association of Petroleum Explorationists (NAPE) and a member of the Society of Exploration Geophysicists (SEG). He is the author of Seismic Data Analysis Techniques in Hydrocarbon Exploration, published with Elsevier in 2013.
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