Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/224575
Title: SHALE-GAS RESERVOIR CHARACTERIZATION AND SWEET SPOT PREDICTION
Authors: AHMED ZIDAN SHAFIK ZIDAN
ORCID iD:   orcid.org/0000-0002-5633-8858
Keywords: AVO, Shale-gas, Seismic amplitude, Bayesian inversion, Rock-physics model, Seismic anisotropy
Issue Date: 1-Dec-2021
Citation: AHMED ZIDAN SHAFIK ZIDAN (2021-12-01). SHALE-GAS RESERVOIR CHARACTERIZATION AND SWEET SPOT PREDICTION. ScholarBank@NUS Repository.
Abstract: Over the past decade, seismic amplitude variation with offset has been used in predicting the elastic properties of the subsurface. Nevertheless, the solution of the amplitude inversion is not unique due to limited bandwidth and noises of the seismic data, and different sensitivities among model parameters that result in reliable estimation of at most two elastic parameters. Unconventional reservoirs’ characterization, particular shales, requires additional parameters for predicting the high-quality gas zones. Here, we study the high-dimensional anisotropic AVO inversion, with the application to shale gas reservoirs for predicting high-quality gas zones from estimated seismic anisotropy. We propose constrained amplitude inverse problems based on a prior geological information from available well-logs and rock-physics data. The proposed constraints steer the inversion, so that it skips local minima solutions that poorly represent a prior density function. The resulting is a unique solution close to a prior distribution, and gives minimum data residual.
URI: https://scholarbank.nus.edu.sg/handle/10635/224575
Appears in Collections:Ph.D Theses (Open)

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