Bibliographic Resources for Geostatistics, Spatial Analysis, and Stochastic Modeling in Petroleum Exploration and Development
Published:January 01, 2006
T. C. Coburn, 2006. "Bibliographic Resources for Geostatistics, Spatial Analysis, and Stochastic Modeling in Petroleum Exploration and Development", Stochastic Modeling and Geostatistics: Principles, Methods, and Case Studies, Volume II, T. C. Coburn, J. M. Yarus, R. L. Chambers
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The literature on geostatistics has rapidly expanded in the past decade because geostatistical techniques and methodologies have become more mainstream throughout the business, scientific, and engineering communities. The earth sciences continue to be a proving ground for many new geostatistical ideas and developments, building on knowledge and early notions developed throughout a period of 40 yr. The following bibliography contains approximately 1600 citations spanning the history of geostatistics that have a particular bearing on petroleum exploration and development, petroleum engineering and reservoir characterization, and the oil and gas aspects of geological investigation. The bibliography is organized into the seven general categories: case studies; methodological applications; theoretical developments; dissertations and theses; software, software applications, and user manuals; general-interest articles, discussions, and commentaries; and books, reviews of books, and course notes.
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Stochastic Modeling and Geostatistics: Principles, Methods, and Case Studies, Volume II
Since publication of the first volume of Stochastic Modeling and Geostatistics in 1994, there has been an explosion of interest and activity in geostatistical methods and spatial stochastic modeling techniques. Many of the computational algorithms and methodological approaches that were available then have greatly matured, and new, even better ones have come to the forefront. Advances in computing and increased focus on software commercialization have resulted in improved access to, and usability of, the available tools and techniques. Against this backdrop, Stochastic Modeling and Geostatistics Volume II provides a much-needed update on this important technology. As in the case of the first volume, it largely focuses on applications and case studies from the petroleum and related fields, but it also contains an appropriate mix of the theory and methods developed throughout the past decade. Geologists, petroleum engineers, and other individuals working in the earth and environmental sciences will find Stochastic Modeling and Geostatistics Volume II to be an important addition to their technical information resources.