All Days 2014
DOI: 10.2523/iptc-18058-ms
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Application of Anisotropic Full-Waveform Inversion to Delineate and Minimize the Effects of Shallow Gas: Malaysia Case Study

Abstract: Seismic imaging beneath shallow gas is a challenge that needs to be addressed through a multifaceted solution involving advances in acquisition, pre-processing, and depth imaging. The challenge results from the host of geophysical issues that are incurred as seismic energy is incident on gas in the near surface. Energy absorption by shallow gas leads to seismic attenuation of high-frequencies and necessitates a broadband acquisition and processing solution to ensure the presence of signal at the reservoir leve… Show more

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“…These can be accounted for either in: 1) Pre-Stack Time Migration (PSTM) during pre-processing using land processing derived statics solutions and data driven amplitude balancing techniques or, 2) Pre-Stack Depth Migration (PSDM) by deriving effective Q models and incorporating the Q-factor directly into the raypathing of migration algorithms which can simultaneously account for phase and amplitude effects (Xin and Hung, 2010), and generating high resolution shallow velocity models to mitigate sagging caused by the shallow gas. Menzel- Jones et al (2014) discuss how the shallow gas low velocity effects can be delineated and removed using FWI.…”
Section: Introductionmentioning
confidence: 99%
“…These can be accounted for either in: 1) Pre-Stack Time Migration (PSTM) during pre-processing using land processing derived statics solutions and data driven amplitude balancing techniques or, 2) Pre-Stack Depth Migration (PSDM) by deriving effective Q models and incorporating the Q-factor directly into the raypathing of migration algorithms which can simultaneously account for phase and amplitude effects (Xin and Hung, 2010), and generating high resolution shallow velocity models to mitigate sagging caused by the shallow gas. Menzel- Jones et al (2014) discuss how the shallow gas low velocity effects can be delineated and removed using FWI.…”
Section: Introductionmentioning
confidence: 99%