Using geostatistics to generate a geological model of a sandstone petroleum reservoir in southern California

Author:

Vasquez Diego,Swift Jennifer

Abstract

A variogram-based two-point geostatistical approach was applied to generate a geological model of a petroleum reservoir. The geology consists of a sandstone formation with uniformly inclined rock strata of equal dip angle structurally trapped by surrounding faults. Data exploration of electrical well logs using univariate/bivariate statistical tests and data transformation tools demonstrated the data to be statistically suitable for ordinary kriging and sequential Gaussian simulation. Three directions were defined as part of the variogram and the data were interpolated resulting in a 3D subsurface representation. Validation included performing a leave-one-out cross-validation for each well and statistical comparison of multiple realizations generated from a computed stochastic model. The results display a reliable geological model which indicate a direct causation of the continuity trends from the bedding attitude of the regional fault trap.

Publisher

Centre for Evaluation in Education and Science (CEON/CEES)

Subject

Atmospheric Science,Earth-Surface Processes,Tourism, Leisure and Hospitality Management,Geology,Geography, Planning and Development

Reference25 articles.

1. Babish, G. (2000). Geostatistics Without Tears: A Practical Guide to Geostatistics, Variograms and Kriging. Regina, Sask: Environment Canada, Ecological Research Division, Environmental Conservation Branch;

2. Caers, J., & Zhang, T. (2004). Multiple-Point Geostatistics: A Quantitative Vehicle for Integrating Geologic Analogs into Multiple Reservoir Models. Stanford, Calif: American Association of Petroleum Geologists. https://doi.org/10.1306/M80924C18;

3. Caumon, G., (2010). Towards Stochastic Time-Varying Geological Modeling. Mathematical Geosciences, 42(5), 555-569. https://doi.org/10.1007/s11004-010-9280-y;

4. Deutsch, C.V. (2006). What in the reservoir is geostatistics good for? Journal of Canadian Petroleum Technology, 45(4). https://doi.org/10.2118/06-04-DAS;

5. Dorsey, R. (1993). Geologic Review Abacherli Lease Mahala Field: Eastern Puente Hills San Bernardino, California. KMT Oil Company;

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