Three-dimensional Seismic Inversion and Geostatistical Reservoir Modeling of the Rotliegend Gas Field
R. K. Shrestha, S. Faruqi, M. Boeckmann, M.-K. Wang, 2006. "Three-dimensional Seismic Inversion and Geostatistical Reservoir Modeling of the Rotliegend Gas Field", Stochastic Modeling and Geostatistics: Principles, Methods, and Case Studies, Volume II, T. C. Coburn, J. M. Yarus, R. L. Chambers
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This chapter describes a study of the Rotliegend gas field in Germany in which impedance-constrained facies and property models were constructed to reevaluate the field and guide future development.
Three-dimensional (3-D) stochastic seismic inversion produces a highresolution acoustic impedance volume by integrating well data with fine vertical sampling and seismic data with dense areal sampling. This acoustic impedance volume can be used as soft data in geostatistical reservoir property modeling. The dense areal sampling in the 3-D seismic grid provides valuable information in interwell areas. Impedance data are particularly useful where well data are sparse.
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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.