利用相控模型进行井间参数预测

桂峰; 黄智辉; 马正

Volume 26 Issue 1

Jan. 2001

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Article Navigation > Earth Science > 2001 > 26(1): 49-53

GUI Feng, HUANG Zhihui, MA Zheng, 2001. APPLICATION OF LITHOFACIES-CONTROLLED MODEL TO PREDICTION OF PHYSICAL PARAMETERS BETWEEN WELLS. Earth Science, 26(1): 49-53.

Citation:

GUI Feng, HUANG Zhihui, MA Zheng, 2001. APPLICATION OF LITHOFACIES-CONTROLLED MODEL TO PREDICTION OF PHYSICAL PARAMETERS BETWEEN WELLS. Earth Science, 26(1): 49-53.

GUI Feng, HUANG Zhihui, MA Zheng, 2001. APPLICATION OF LITHOFACIES-CONTROLLED MODEL TO PREDICTION OF PHYSICAL PARAMETERS BETWEEN WELLS. Earth Science, 26(1): 49-53.

Citation:

GUI Feng, HUANG Zhihui, MA Zheng, 2001. APPLICATION OF LITHOFACIES-CONTROLLED MODEL TO PREDICTION OF PHYSICAL PARAMETERS BETWEEN WELLS. Earth Science, 26(1): 49-53.

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APPLICATION OF LITHOFACIES-CONTROLLED MODEL TO PREDICTION OF PHYSICAL PARAMETERS BETWEEN WELLS

1.
Department of Geophysics, China University of Geosciences, Beijing 100083, China
2.
Faculty of Earth Resources, China University of Geosciences, Wuhan 430074, China

Received Date: 2000-03-13
Publish Date: 2001-01-25

Abstract

Abstract

The spatial distribution of the physical parameters in the reservoir has for a long time been a difficulty in the research into the reservoir heterogeneity. Both the fractal and Monto Carlo methods and the correlation between the fine sedimentary micro-facies and the sublayers are used to forecast the lithofacies distribution between wells. In addition, the core data are employed to establish the lithofacies-controlled models on the permeabilities for various kinds of lithofacies. Therefore, the permeabilities between wells can be forecasted. This method established on the geological features, combines the geological data with the mathematical methods, so as to fully reflect the continuity of the permeabilities between wells and the very violent changes in the permeabilities. In this sense, this method may serve as a new perspective for the spatial forecast of the physical parameters between wells.
- permeability,
- fractal,
- Monto Carlo prediction,
- lithofacies,
- lithofacies-controlled model

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References(5)

References

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