Abstract
Facies analysis typically focuses on geological descriptions and physical characteristics of deposits. It has typically been emphasized in exploration and appraisal, including prospect generation and reservoir delineation. Facies modeling can be useful in both exploration and field development. In practice, because of limited core and well-log-derived facies data, there have been disconnects between facies analysis and modeling, which can lead to a geologically unrealistic model. It is important to integrate facies analysis into facies modeling for field development.
This chapter presents generations of facies spatial propensity maps, vertical propensity curves and integrated facies analysis using geological conceptual models. The generation of facies probabilities by integrating their fieldwide descriptions and local data at wells is instrumental in bridging the gap between facies analysis and modeling for building realistic facies models.
“The quality of correlation is inversely proportional to the density of control.” May’s law of stratigraphy (in Murphy’s Law by Bloch, 1991)
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Ma, Y.Z. (2019). Generating Facies Probabilities by Integrating Spatial and Frequency Analyses. In: Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling. Springer, Cham. https://doi.org/10.1007/978-3-030-17860-4_11
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DOI: https://doi.org/10.1007/978-3-030-17860-4_11
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