Seismic Data Interpretation and Evaluation for Hydrocarbon Exploration and Production (e-bog) af Nanda, Niranjan C.
Nanda, Niranjan C. (forfatter)

Seismic Data Interpretation and Evaluation for Hydrocarbon Exploration and Production e-bog

875,33 DKK (inkl. moms 1094,16 DKK)
This book introduces readers to the field of seismic data interpretation and evaluation, covering themes such as petroleum exploration and high resolution seismic data. It helps geoscientists and engineers who are practitioners in this area to both understand and to avoid the potential pitfalls of interpreting and evaluating such data, especially the over-reliance on sophisticated software pack...
E-bog 875,33 DKK
Forfattere Nanda, Niranjan C. (forfatter)
Forlag Springer
Udgivet 10 marts 2016
Genrer PBKS
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9783319264912
This book introduces readers to the field of seismic data interpretation and evaluation, covering themes such as petroleum exploration and high resolution seismic data. It helps geoscientists and engineers who are practitioners in this area to both understand and to avoid the potential pitfalls of interpreting and evaluating such data, especially the over-reliance on sophisticated software packages and workstations alongside a lack of grasp on the elementary principles of geology and geophysics. Chapters elaborate on the necessary principles, from topics like seismic wave propagation and rock-fluid parameters to seismic modeling and inversions, explaining the need to understand geological implications. The difference between interpretation of data and its evaluation is highlighted and the author encourages imaginative, logical and practical application of knowledge. Readers will appreciate the exquisite illustrations included with the accessibly written text, which simplify the process of learning about interpretation of seismic data. This multidisciplinary, integrated and practical approach to data evaluation will prove to be a valuable tool for students and young professionals, especially those connected with oil companies.