Case studies in quality control for 4‐D seismic processing

Widmaier, M.; Moe, Jørgen Engebretsen; Brittan, John; Lima, Jostein

doi:10.1190/1.1817114

Cited by 1 publication

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“…The requirements and means of seismic quality control and quality assurance (QC/QA) have been addressed by several authors (Li et al, 2008;Bachrach and Mukerji, 2004;Jin et al, 2004;Thomas et al, 2004;Widmaier et al, 2002), mostly for either the acquisition stage or for main processing and post-processing volumes. Many types of processing problems arise from defected preprocessing steps such as incorrectly setting up field geometry (Yilmaz, 1987).…”

Section: Introductionmentioning

confidence: 99%

Land 3D-seismic data: Preprocessing quality control utilizing survey design specifications, noise properties, normal moveout, first breaks, and offset

Raef

2009

J. Earth Sci.

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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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Section: Introductionmentioning

confidence: 99%

Land 3D-seismic data: Preprocessing quality control utilizing survey design specifications, noise properties, normal moveout, first breaks, and offset

Raef

2009

J. Earth Sci.

View full text Add to dashboard Cite

show abstract

Case studies in quality control for 4‐D seismic processing

Cited by 1 publication

References 1 publication

Land 3D-seismic data: Preprocessing quality control utilizing survey design specifications, noise properties, normal moveout, first breaks, and offset

Land 3D-seismic data: Preprocessing quality control utilizing survey design specifications, noise properties, normal moveout, first breaks, and offset

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