Critical angle of reflections and Poisson's ratio from spectral recomposition

Zuniga, Nelson Ricardo Coelho Flores; Draganov, Deyan; Ghose, Ranajit

doi:10.1016/j.jappgeo.2023.105110

Cited by 5 publications

(1 citation statement)

References 22 publications

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“…In seismology, the ratio of the longitudinal wave velocity of the transverse wave velocity can be used to determine Poisson's ratio. In hydrocarbon seismic exploration, the prestack seismic inversion method is usually used to obtain Poisson's ratio [50][51][52][53]. Given the longitudinal wave velocity Vp and transverse wave velocity Vs, Poisson's ratio can be obtained through the intrinsic relationship of the elastic parameters (4):…”

Section: Poisson's Ratio Genetic Inversionmentioning

confidence: 99%

Accurate identification of traps and pinch-outs on a stratigraphic reservoir-A case from Hala’alate Mountain in the Junggar Basin, China

Li,

Yang,

Wang

et al. 2024

PLoS ONE

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In the investigation of stratigraphic reservoirs, a significant discrepancy frequently exists between the delineation of the formation pinch-out line as traced using the characteristics of seismic wave reflections and the actual location of the formation pinch-out line. This has been the main problem restricting further hydrocarbon exploration and development. In this study, Hala’alate Mountain on the northwestern margin of the Junggar Basin is taken as an example for carrying out the study of stratigraphic reservoirs by integrating logging, drilling, and 3D seismic data. On the one hand, in studies based on the identification of formation pinch-out points using seismic data, the identification error of reservoir pinch-out lines is reduced by the improved included angle extrapolation method by utilizing the half energy attribute. On the other hand, the Poisson’s ratio curve is reconstructed using acoustic curves and oil-gas sensitive logging, then the reservoir oil-bearing facies zone is predicted using Poisson’s ratio post-stack genetic inversion to comprehensively analyze the controlling factors of stratigraphic reservoirs. The study area mainly features structural lithologic reservoirs, structural stratigraphic reservoirs and stratigraphic overlaps that pinch out reservoirs. The boundary of a stratigraphic reservoir is affected by the dip angle of the unconformity surface, the formation dip angle, and other factors. The improved included angle extrapolation method improves the identification accuracy of stratigraphic overlap pinch-out reservoirs. The reservoir distribution then is calculated according to Poisson’s ratio inversion, improving the prediction accuracy for the reservoir. This method improves the predictive effect for stratigraphic reservoirs and provides a new idea for the exploration and development of similar reservoirs.

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Section: Poisson's Ratio Genetic Inversionmentioning

confidence: 99%

Accurate identification of traps and pinch-outs on a stratigraphic reservoir-A case from Hala’alate Mountain in the Junggar Basin, China

Li,

Yang,

Wang

et al. 2024

PLoS ONE

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Phase‐shift correction of seismic reflections by means of spectral recomposition

Zuniga,

Draganov,

Ghose

2023

Near Surface Geophysics

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Using post‐critical reflection data, it is possible to obtain useful information that allow more reliable geological characterization of the subsurface. However, the strong distortion caused by the phase shift in post‐critical wavelets makes the use of post‐critical reflections rather challenging. For this reason, an approach which is capable of estimating the phase shift of each wavelet of a reflection event in a data‐driven manner is desirable. In this vein, in case the frequency spectrum of a wavelet can be correctly estimated, it is possible to estimate the instantaneous phase shift. In this work, we propose an approach which can perform such estimation based on spectral recomposition of seismic data. We design an inversion approach in order to reconstruct the seismic spectrum of the wavelets of a reflection event, which subsequently allows us to estimate the instantaneous phase of each wavelet of near‐surface reflection events without performing prior velocity analysis and/or critical‐angle estimation. After finding the instantaneous phase for each wavelet of a reflection event, we show next how one can find the respective phase shifts that can then be corrected.This article is protected by copyright. All rights reserved

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Inversion procedure for velocity analysis using spectral recomposition

Zuniga,

Priimenko

2024

Mar Geophys Res

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Critical angle of reflections and Poisson's ratio from spectral recomposition

Cited by 5 publications

References 22 publications

Accurate identification of traps and pinch-outs on a stratigraphic reservoir-A case from Hala’alate Mountain in the Junggar Basin, China

Accurate identification of traps and pinch-outs on a stratigraphic reservoir-A case from Hala’alate Mountain in the Junggar Basin, China

Phase‐shift correction of seismic reflections by means of spectral recomposition

Inversion procedure for velocity analysis using spectral recomposition

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