Abstract
The application of geostatistical modelling techniques for describing petroleum reservoirs has grown from relative obscurity to common practice over the past decade. Computing power, coupled with software commercialisation, has contributed to the growth of the technology from its original 2D mining applications, to a rich suite of 3D methods for modelling geologic facies and distributing rock properties. Methodologies now include simulation techniques that strive to reproduce the variability of the original data and provide measures of uncertainty through the construction of multiple equal-probable realisations. A single realisation can accurately describe the heterogeneous character associated with many petroleum reservoirs, upscaled, and be passed directly to multiphase fluid flow simulators for engineering assessment. Multiple realisations can be compared with one another in order to measure uncertainty, and summarised to provide input for risk analysis and probability mapping.
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© 2002 Springer Science+Business Media Dordrecht
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Yarus, J.M., Yang, K., Kramer, K. (2002). Practical Workflows for Reservoir Modelling. In: Armstrong, M., Bettini, C., Champigny, N., Galli, A., Remacre, A. (eds) Geostatistics Rio 2000. Quantitative Geology and Geostatistics, vol 12. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-1701-4_6
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DOI: https://doi.org/10.1007/978-94-017-1701-4_6
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