TY - JOUR
T1 - Land 3D-seismic data
T2 - Preprocessing quality control utilizing survey design specifications, noise properties, normal moveout, first breaks, and offset
AU - Raef, Abdelmoneam
N1 - Funding Information:
Support for this research was provided by the U.S. Department of Energy, project #DE-FC26-03NT15414. I thank Rick Miller for helping to improve this article, Kansas Geological Survey geophysical field crewmembers for acquiring the data presented, and George Clark and Mary Brohammer for styling the text. I also thank the Kansas Geological Survey for supporting this study. My thanks also go to two anonymous reviewers, especially reviewer who supplied constructive comments that helped in improving the manuscript.
Funding Information:
This study was supported by the U.S. Department of Energy (No. DE-FC26-03NT15414). *Corresponding author: abraef@ksu.edu
PY - 2009
Y1 - 2009
N2 - 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 CO2-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.
AB - 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 CO2-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.
KW - 3D seismic
KW - 4D seismic
KW - Geometry
KW - Preprocessing
KW - Quality control
KW - Trace header
KW - Vertical stacking
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U2 - 10.1007/s12583-009-0053-9
DO - 10.1007/s12583-009-0053-9
M3 - Article
AN - SCOPUS:70349974415
SN - 1674-487X
VL - 20
SP - 640
EP - 648
JO - Journal of Earth Science
JF - Journal of Earth Science
IS - 3
ER -