Issue |
E3S Web Conf.
Volume 416, 2023
3rd International Conference on Oil & Gas Engineering and Geological Sciences (OGEGS 2023)
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Article Number | 01018 | |
Number of page(s) | 4 | |
DOI | https://doi.org/10.1051/e3sconf/202341601018 | |
Published online | 10 August 2023 |
Research on variogram analysis method for 3D modeling of sandstone reservoir
1 Fuyu Oil Production Company, Jilin Oilfield Company, Songyuan, Jilin, China
2 HSE supervision station, Jilin Oilfield Company, Songyuan, Jilin, China
3 Exploration and Development Research Institute, Jilin Oilfield Company, Songyuan, Jilin, China
* Corresponding author: 3035692147@qq.com
Analysis of variogram is a necessary step in 3D stochastic modeling, and different settings of variograms can directly affect the final distribution of model attribute. How to optimize the setting of variogram parameters by unit and facies type has become a key step in geological modeling. This article focuses on the reservoir within sedimentary background of fluvial-deltas in the layer SII7+8 which develops multiple sedimentary microfacies, such as fluvial channels, abandoned fluvial channels, flood plains, and natural levee with strong heterogeneity, so as to study the impact of changes of the variogram parameters on the simulation results of reservoir properties, in order to explore the analysis method of the variogram. On this basis, the reservoir is divided into 3 types of sand bodies and 11 types of sedimentary microfacies based on net pay thickness, sedimentary environment, and main sand scale and morphology. The distribution characteristics and extension scale of different facies types on the plane are classified and studied, in order to determine the characteristic parameters of the variogram of different types of sand bodies, accurately simulate the distribution characteristics of reservoir physical property, and further improve the accuracy of the 3D attribute model.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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