Books on reservoir modeling

Uncertainty Reduction in Reservoir Modeling

This paper presents a method by which uncertainty in reservoir modeling can be reduced by integrating observed data in the estimation of model parameters. The problem is inverse and ill-posed. Further, since the observed data and the reservoir properties are non-linearly related, reducing uncertainty becomes a non-trivial task. The methodology involves generating multiple reservoir descriptions...

Data-Driven Reservoir Modeling Data-Driven Reservoir Modeling Top-Down Modeling (TDM) A Paradigm Shift in Reservoir Modeling The Art and Science of Building Reservoir Models Based on Field Measurements

Books, books, books.

IAPR Fellow, shares a personal sketch of his career in statistical pattern recognition. At the end, he poses questions to entice further research. Chart of some upcoming IAPR and non-IAPR workshops, conferences, and summer schools of interest to the I APR community. The views expressed in this newsletter represent the personal views of the authors and not necessarily those of their host institu...

Modeling of effective pressure effect on porous reservoir rocks

Effective pressure effect on porous reservoir formation is one of the most important factors contributing to time-lapse seismic attribute changes. Our research shows that the existing commonly used models tend to overestimate effective pressure effect at high effective pressure, which might cause significant misinterpretation of 4D seismic data. Based on analysis of a large quantity of lab data...

New books on TEX

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