2022
DOI: 10.1016/j.ejpe.2021.12.002
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Deterministic and Stochastic Seismic Inversion techniques towards a better prediction for the reservoir distribution in NEAG-2 Field, north Western Desert, Egypt

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Cited by 6 publications
(4 citation statements)
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“…The stratigraphic grid for the discretization of the inversion process has a higher vertical resolution than the band-limited seismic data can provide. This obstacle is overcome by implementing frequency data beyond the seismic bandwidth to get broad-band inversion results with high vertical resolution of, e.g., 2 ms (Rashad et al 2022). Two typical input data sets for reconstruction of the missing frequency data are well log data and seismic velocity data.…”
Section: Seismic Amplitude Inversionmentioning
confidence: 99%
“…The stratigraphic grid for the discretization of the inversion process has a higher vertical resolution than the band-limited seismic data can provide. This obstacle is overcome by implementing frequency data beyond the seismic bandwidth to get broad-band inversion results with high vertical resolution of, e.g., 2 ms (Rashad et al 2022). Two typical input data sets for reconstruction of the missing frequency data are well log data and seismic velocity data.…”
Section: Seismic Amplitude Inversionmentioning
confidence: 99%
“…47 Conventional rock physics modeling (RPM) is carried out for multiple purposes, including the assessment of heterogeneities, detailed reservoir characterization, and predicting missing logs, mainly DTS. 5,7,8,25,52 The consistent and improved modeled DTS log was further utilized in seismic inversion techniques for upgraded reservoir characterization. Log data limitations of the IB, including poor RHOB along with the absence of DTS, are assessed using traditional RPM, incorporating petrophysical results, in situ parameters of the reservoir, and integration of petroelastic attributes.…”
Section: Methodsmentioning
confidence: 99%
“…Initially, conventional approaches, including seismic interpretation, petrophysical assessments, and fault-seal analysis, have been done in the research area. Additionally, meticulous approaches like deterministic and stochastic seismic inversions have been employed in various nearby producing fields to tackle these challenges. However, their effectiveness in such complex geological settings often falls short, primarily due to their inability to handle missing data effectively, and the increased number of procedural steps may cause uncertainty. In recent years, the comparable use of advanced ML techniques has gained significant interest in subsurface imaging and reservoir characterization due to their enhanced result, robustness, and efficiency .…”
Section: Introductionmentioning
confidence: 99%
“…Applying Petrel of 3D modeling software, to make a fault and structural model, facies-controlled model, and property model based on all available geological study results. Deterministic and stochastic reservoir modeling is the two most commonly used methodologies for reservoir modeling [22][23][24]. Linear interpolation, inverse square weighted average of distance, kriging method, and seismic 3 Geofluids reservoir prediction are among the techniques used in deterministic modeling [25].…”
Section: Methodsmentioning
confidence: 99%