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Volume 20 Issue 3
Jun 2009
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Article Contents
Abdelmoneam Raef. Land 3D-Seismic Data: Preprocessing Quality Control Utilizing Survey Design Specifications, Noise Properties, Normal Moveout, First Breaks, and Offset. Journal of Earth Science, 2009, 20(3): 640-648. doi: 10.1007/s12583-009-0053-9
Citation: Abdelmoneam Raef. Land 3D-Seismic Data: Preprocessing Quality Control Utilizing Survey Design Specifications, Noise Properties, Normal Moveout, First Breaks, and Offset. Journal of Earth Science, 2009, 20(3): 640-648. doi: 10.1007/s12583-009-0053-9

Land 3D-Seismic Data: Preprocessing Quality Control Utilizing Survey Design Specifications, Noise Properties, Normal Moveout, First Breaks, and Offset

doi: 10.1007/s12583-009-0053-9
Funds:

the U.S. Department of Energy DE-FC26-03NT15414

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  • Corresponding author: Abdelmoneam Raef, abraef@ksu.edu
  • Received Date: 15 Dec 2008
  • Accepted Date: 19 Feb 2009
  • The recent proliferation of the 3D reflection seismic method into the near-surface area of geophysical applications, especially in response to the emergence of the need to comprehensively characterize and monitor near-surface carbon dioxide sequestration in shallow saline aquifers around the world, justifies the emphasis on cost-effective and robust quality control and assurance (QC/QA) workflow of 3D seismic data preprocessing that is suitable for near-surface applications. The main purpose of our seismic data preprocessing QC is to enable the use of appropriate header information, data that are free of noise-dominated traces, and/or flawed vertical stacking in subsequent processing steps. In this article, I provide an account of utilizing survey design specifications, noise properties, first breaks, and normal moveout for rapid and thorough graphical QC/QA diagnostics, which are easy to apply and efficient in the diagnosis of inconsistencies. A correlated vibroseis time-lapse 3D-seismic data set from a CO 2-flood monitoring survey is used for demonstrating QC diagnostics. An important by-product of the QC workflow is establishing the number of layers for a refraction statics model in a data-driven graphical manner that capitalizes on the spatial coverage of the 3D seismic data.

     

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