Petrophysical guided preconditioning applied to electrofacies classification by machine learning
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Enhancing formation resistivity factor estimation in carbonate reservoirs using electrical zone indicator and multi-resolution graph-based clustering methods. [PDF]
Mohammadi M +4 more
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A Comparative Study Based on Petrophysical and Cluster Analysis Approach for Identification of Rock Types in Heterogeneous Sandstone Reservoirs. [PDF]
Munir MN +6 more
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Study on displacement units for water flooded low-permeability oil reservoirs. [PDF]
Zhu W, Zhu Y, Bu W, Wang Y, Liu Y.
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Multi-scale reservoir characterization of pre-rift reservoirs in the October field, Gulf of Suez using integrated seismic, well logs, and core data. [PDF]
Ghaly M +3 more
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Hydraulic flow unit and rock types of the Asmari Formation, an application of flow zone index and fuzzy C-means clustering methods. [PDF]
Eftekhari SH +6 more
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Rapid identification of an effective bauxite gas reservoir by principal component analysis. [PDF]
Wang Y, Guo J, Ma Z, Zhou L.
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Machine learning with hyperparameter optimization applied in facies-supported permeability modeling in carbonate oil reservoirs. [PDF]
Al-Mudhafar WJ +3 more
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Estratigrafía y disposición estructural del Terciario Inferior en el subsuelo del Sector Central de la Cuenca del Ebro [PDF]
Klimowitz, J.
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Electrofacies Based on Piecewise Log Trends
Proceedings, 2014A new method allows to partition any log section into piecewise trends. The boundaries between the sub-intervals are assigned dynamically, based on best-fit criteria of consecutive samples of a facies-sensitive log like Vshale. This allows the assignment of an electro-facies which is based not only on the values of the log curves, but also on their ...
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