Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements
Author:
Funder
Analytical Center for the Government of the Russian Federation
Publisher
Elsevier BV
Reference49 articles.
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2. Al-Mudhafar, W.J., 2016. Incorporation of bootstrapping and cross-validation for efficient multivariate facies and petrophysical modeling. In: SPE Rocky Mountain Petroleum Technology Conference/Low-Permeability Reservoirs Symposium.
3. Al-Mudhafar, W.J., 2018. Integrating core porosity and well logging interpretations for multivariate permeability modeling through ordinary kriging and co-kriging algorithms. In: Offshore Technology Conference.
4. Bayesian kriging for reproducing reservoir heterogeneity in a tidal depositional environment of a sandstone formation;Al-Mudhafar;Journal of Applied Geophysics,2019
5. Al-Mudhafar, W.J., 2021. Geostatistical Simulation of Facies and Petrophysical Properties for Hetero-geneity Modeling in A Tidal Depositional Environment: A Case Study From Upper Shale Member in A Southern Iraqi Oil Field. In: Unconventional Resources Technology Conference, pp. 2627–2642.
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