Automatic Determination of Sedimentary Units from Well Data

• Published in: Mathematical geosciences 2020-02, Vol.52 (2), p.213-231
• Main Authors: Bubnova, Anna, Ors, Fabien, Rivoirard, Jacques, Cojan, Isabelle, Romary, Thomas
• Format: Article
• Language: English
• Subjects: Algorithms; Analogs; Applied geology; Chemistry and Earth Sciences; Cluster analysis; Clustering; Computer Science; Computer simulation; Earth and Environmental Science; Earth Sciences; Ecological succession; Geostatistics; Geotechnical Engineering & Applied Earth Sciences; Hydrogeology; Hydrology; Lithofacies; Machine Learning; Mathematics; Meandering; Methods; Mineralogy; Modeling and Simulation; Paleosols; Petrography; Physics; Probability; Reservoirs; Sand; Sciences of the Universe; Statistics; Statistics for Engineering; Stratigraphy; Well data; Well logging
• ISSN: 1874-8961; 1874-8953
• DOI: 10.1007/s11004-019-09793-w

The issue of identifying stratigraphic units within a sedimentary succession is of prime importance for reservoir studies, because it allows splitting the reservoir into several units with specific parameters, thus reducing the vertical nonstationarity in simulations. A new method is proposed for semi-automatic determination of the sedimentary units from well logging that uses a customized geostatistical hierarchical clustering algorithm. A new linkage criteria derived from the Ward criteria (cluster minimum variance) is proposed to enforce the monotonic increase of dissimilarities. The discretized proportion of sand lithofacies calculated from the vertical proportion curve of the well is taken as input data. At each step of the procedure, the algorithm merges the most similar of two consecutive units of sand lithofacies, ensuring stratigraphic consistency. Finally, the number of units is deduced from the first most important step of the dissimilarity. The user can investigate a larger number of units by considering the clusters with lower levels of dissimilarities. The method is validated using two synthetic cases built for a fluvial meandering reservoir analog containing three and five units. The results from the synthetic cases show that the units are identified when the sand proportion contrast between units is larger than the internal variability within the units. For low sand contrasts between units or for a small number of wells, sedimentary unit limits may be found for lower clustering dissimilarities. Finally, the method is successfully applied to a field study, where the resulting cluster units are found to be comparable to the field interpretation, suggesting a limit between units defined by paleosols rather than close overlying lacustrine levels.