SEG Technical Program Expanded Abstracts 2020 2020
DOI: 10.1190/segam2020-3426868.1
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Understanding refracted wave paths for Brazilian pre-salt target-oriented imaging

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Cited by 9 publications
(6 citation statements)
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“…In all these cases, we use the same set of ocean bottom nodes, the difference being the geometry of the shot points. We first performed a wavepath analysis, as suggested by Costa et al (2020), which confirmed that the circular shot OBN acquisition geometry is able to illuminate the pre-salt reservoir (see Fig. 1 and 5).…”
Section: Discussionmentioning
confidence: 59%
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“…In all these cases, we use the same set of ocean bottom nodes, the difference being the geometry of the shot points. We first performed a wavepath analysis, as suggested by Costa et al (2020), which confirmed that the circular shot OBN acquisition geometry is able to illuminate the pre-salt reservoir (see Fig. 1 and 5).…”
Section: Discussionmentioning
confidence: 59%
“…To identify the velocity model regions where there is better illumination using shot geometry A1, we compute wavepaths following Luo and Schuster (1991). A wavepath analysis using a P -wave velocity model similar to our reference model was performed by Costa et al (2020), using the same shot geometry, considering only the energy of first arrivals. In this work we compute wavepaths by considering the refractions' energy (Fig.…”
Section: Resultsmentioning
confidence: 99%
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“…It is worth mentioning that such a data selection does not guarantee that all selected waveforms are refractions, but most of them are, as analysed by Costa et al. (2020). Finally, to conduct the low‐frequency FWI, we apply a 1‐2‐4‐5Hz$5 Hz$‐Ormsby bandpass filter on the seismic data.…”
Section: Brazilian Pre‐salt Case Studymentioning
confidence: 99%
“…Ideally, 3D target-oriented pre-stack depth migration involves the calculation of reflectivity images exclusively for the identified target zones, aligning with the study's objectives and focusing on the specific area of interest. This target-oriented imaging approach leads to a reduction in the turnaround time required for 3D seismic imaging [10][11][12]. The concept has been a subject of discussion in the literature since the 1990s and gained further traction in the 2000s, as researchers began seeking solutions to address the computational demands of 3D seismic imaging.…”
Section: Introductionmentioning
confidence: 99%