2016
DOI: 10.1007/s11200-015-0452-6
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Seismic imaging of complex structures with the CO-CDS stack method

Abstract: Various seismic imaging methods are introduced to resolve some of the possible ambiguities of seismic interpretation in complex structures. Reducing dependency of imaging techniques on velocity or using diffraction energy for imaging more structural details are the main topics of the imaging research. In this study, we try to improve the seismic image quality in semi-complex structures by combining the common reflection surface (CRS) method with a diffraction based scheme in the common-offset domain. Previousl… Show more

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Cited by 22 publications
(3 citation statements)
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“…To improve the imaging accuracy of seismic data in thrust belt, not only common diffraction surface (CDS) stack method [47], common-offset common diffraction surface (CO CDS) stack method [48], partial diffraction surface stack method, and 3D partial diffraction surface stack method [26] but also the 3D seismic survey [49,50] and 3D prestack depth migration (PSDM) processing could be applied.…”
Section: Discussionmentioning
confidence: 99%
“…To improve the imaging accuracy of seismic data in thrust belt, not only common diffraction surface (CDS) stack method [47], common-offset common diffraction surface (CO CDS) stack method [48], partial diffraction surface stack method, and 3D partial diffraction surface stack method [26] but also the 3D seismic survey [49,50] and 3D prestack depth migration (PSDM) processing could be applied.…”
Section: Discussionmentioning
confidence: 99%
“…Pre-stack migration of noisy and low-quality data produces migrated sections of comparably lower quality than the post-stack migration of the common-reflection-surface (CRS) stack (Soleimani, 2016). Coherent noise will be enhanced if the stack aperture is not set appropriately, contaminating the subsequent post-stack migration section (Shahbazi et al, 2016).…”
Section: Components Of Inversionmentioning
confidence: 99%
“…Refs. [1,2] proposed different methods to calculate velocity models. Particularly, gas clouds correspond to lower velocity and a smaller Quality Factor (Q) [3], and some quantifiable techniques were proposed to identify shallow gas pockets.…”
Section: Introductionmentioning
confidence: 99%