2002•Unpublished venueRequires access

Applied Geostatistics for Reservoir Characterization

Mohan Gajanan Kelkar, Godofredo Perez

Open publisher page 211 citations

Abstract

Geostatistics is an increasingly important tool for developing an integrated reservoir description. Though Applied Geostatistics for Reservoir Characterization is written to illustrate the importance of geostatistics in improving the reservoir characterization process, it does not require any prior knowledge of statistics or advanced mathematics. Emphasis is placed on intuitive understanding of procedure rather than on mathematical details. Each chapter has an associated appendix in which additional mathematical details are provided. Several numerical and field examples, as well as a large number of illustrations, are provided to explain the strengths and weaknesses of different methods.

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What this paper is about

Geostatistics is an increasingly important tool for developing an integrated reservoir description. Though Applied Geostatistics for Reservoir Characterization is written to illustrate the importance of geostatistics in improving the reservoir characterization process, it does not require any prior knowledge of statistics or advanced mathematics. Emphasis is placed on intuitive understanding of procedure rather than on mathematical details. Each chapter has an associated appendix in which additional mathematical details are provided. Several numerical and field examples, as well as a large number of illustrations, are provided to explain the strengths and weaknesses of different methods.

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Available abstract

Geostatistics is an increasingly important tool for developing an integrated reservoir description. Though Applied Geostatistics for Reservoir Characterization is written to illustrate the importance of geostatistics in improving the reservoir characterization process, it does not require any prior knowledge of statistics or advanced mathematics. Emphasis is placed on intuitive understanding of procedure rather than on mathematical details. Each chapter has an associated appendix in which additional mathematical details are provided. Several numerical and field examples, as well as a large number of illustrations, are provided to explain the strengths and weaknesses of different methods.

Key concepts: Geostatistics, Reservoir modeling, Characterization (materials science), Field (mathematics), Computer science, Process (computing), Strengths and weaknesses, Data science

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