1887

Abstract

Summary

Reservoir monitoring is illustrated on a Borehole CSEM case study. Ways are examined how to increase the detection power. The following parameters proved important: grid step of computation scheme, incorporation of induction effects, 3D survey design, constrained inversion, guided inversion, timelapse approach. Joint inversion of independent multi-physics datasets is useful: seismics, MT, CSEM, gravmag. It reduces the solution space and enhances the discrimination power for thin beds. Each dataset requires their own quality control. A sequential or simultaneous approach can be chosen. Prestack inversion and AVO effects give access to rock physical parameters. Analysis of the generated data is a challenge. A multi-disciplinary integrated approach is stimulated by the methodology. Joint inversion makes economic sense due to better reservoir management decisions. Improvements and innovations in the workflow should be pursued: better computers, efficient algorithms, extraction of relevant attributes, mixed attributes, principal component analysis, machine learning, neural network analysis.

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/content/papers/10.3997/2214-4609.201901989
2019-06-03
2024-04-24
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References

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