Permeability Prediction and Validation Using Static and Dynamic Data of Sandstone Reservoir in Weizhou Oilfield, Beibuwan Basin, China


permeability; well log interpretation; dynamic data; Liushagang Formation; Weizhou Oilfield

How to Cite

Wang J, Zhang H, Jiang H, Pan L. Permeability Prediction and Validation Using Static and Dynamic Data of Sandstone Reservoir in Weizhou Oilfield, Beibuwan Basin, China. Int. J. Petrol. Technol. [Internet]. 2021 Jul. 1 [cited 2022 Aug. 12];8:1-14. Available from:


Permeability is one of the key parameters in reservoir property studies. The existing well log interpretation models could not predict the permeability accurately due to the complexity and ambiguity of well logging curves, and the prediction results may demonstrate significant contradictions with the production data. Based on the comprehensive analysis of cores, well logs, laboratory tests, and thin section observations, we take the first member of Liushagang Formation (L1) in Weizhou 11-1N Oil Field as the target, and select median grain size, porosity, and resistivity to establish a multiple nonlinear regression interpretation model of permeability. The accuracy and applicability of this model is validated by the laboratory test data and oil production performance. This permeability interpretation model is easy and practical to operate. Furthermore, it bridges the geological characteristics and the production performance.


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