Quantifying fluid prediction using angle‐dependent inversion measured against log fluid substitutions

Anderson, James W.; Bogaards, Mark

doi:10.1190/1.1815689

Cited by 3 publications

(1 citation statement)

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“…The last part is angle‐dependent inversion (Anderson and Bogaards ; Jarvis, Folkers, and Mesdag ) of near angle partial stack seismic data into near angle elastic impedance. In this part, we first explored the impact of the background model on the inversion results by running different inversion scenarios in which we varied the inversion algorithm and the weight assigned to the background model.…”

Section: Overview Of the Methodsmentioning

confidence: 99%

Integrating basin modeling with seismic technology and rock physics

Kawai

Mukerji

2015

Geophysical Prospecting

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We explore the link between basin modelling and seismic inversion by applying different rock physics models. This study uses the E‐Dragon II data in the Gulf of Mexico. To investigate the impact of different rock physics models on the link between basin modelling and seismic inversion, we first model relationships between seismic velocities and both (1) porosity and (2) effective stress for well‐log data using published rock physics models. Then, we build 1D basin models to predict seismic velocities derived from basin modelling with different rock physics models, in a comparison with average sonic velocities measured in the wells. Finally, we examine how basin modelling outputs can be used to aid seismic inversion by providing constraints for the background low‐frequency model. For this, we run different scenarios of inverting near angle partial stack seismic data into elastic impedances to test the impact of the background model on the quality of the inversion results. The results of the study suggest that the link between basin modelling and seismic technology is a two‐way interaction in terms of potential applications, and the key to refine it is establishing a rock physics models that properly describes changes in seismic signatures reflecting changes in rock properties.

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Section: Overview Of the Methodsmentioning

confidence: 99%