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Seismic Data Analysis Techniques in Hydrocarbon Exploration

  • ID: 2685409
  • Book
  • November 2013
  • Elsevier Science and Technology

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.

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Chapter 1

- SEDIMENTOLOGY AND OIL/GAS FORMATION - SEISMIC WAVE PROPAGATION - SEISMIC EXPLORATION - NOISE ON SEISMIC DATA

Chapter 2

- SEISMIC PROCESSING STEPS - CMP. BINNING AND SORTING - DECONVOLUTION SAMPLE DATA - NMO, VELOCITY ANALYSIS, DMO AND STACKING - RESIDUAL STATICS - SEISMIC MIGRATION

Chapter 3

- SEISMIC INTERPRETATION METHODOLOGY - REFLECTION COEFFICIENT
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Enwenode Onajite Nigerian Association of Petroleum Explorationists (NAPE), Nigeria, and Society of Exploration Geophysicists (SEG), Nigeria.

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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