1887

Abstract

Summary

Prestack AVO inversion is a key technology in hydrocarbon description, and Russell fluid factor plays an important role in pore fluid prediction. Based on porous media theory, this paper deduces a new high-order Russell fluid factor approximation to improve inversion accuracy. A linear iteration method is then applied to realize nonlinear inversion and zero-delay mutual correlation is utilized as the objective function to enhance the anti-noise capability. The inversion for Russell fluid factor is formulated in a Bayesian framework. Synthetic and real data examples demonstrate the high accuracy and stability of the proposed inversion method.

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/content/papers/10.3997/2214-4609.201801539
2018-06-11
2024-04-26
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References

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