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Abstract

Summary

The Ca-Ngu-Vang is a fractured granite basement reservoir that can be modeled by dividing the reservoir into micro-fractures and macro-fractures. Most operators and service companies are currently using the single-porosity model to simulate production behavior in this reservoir. However, this single porosity model approach shows some limitation in production forecasting and recovery estimation. Although several innovative modeling approaches were implemented, there still lacks of an appropriate model for this type of reservoirs. Therefore, the second concept of dual-porosity model was proposed in this research study to model the production in the Ca-Ngu-Vang Field. This paper outlines our new approach to obtain a more reliable flow model to capture the heterogeneity and complexity of the reservoir. This modeling approach is based on the results of core analysis from wells in nearby fields and the Drill Stem Test (DST) analysis of the Ca-Ngu-Vang Field. Using the field data, we show that the dual-porosity model better predicts the behavior of the reservoir, especially during waterflooding. Hence, this paper provides reservoir engineers with a unique approach along with field data and workflow to model the production from Ca-Ngu-Vang Field. This approach is recommended to use for other fractured basement reservoirs.

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/content/papers/10.3997/2214-4609.201602428
2016-12-05
2024-04-19
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References

  1. NguyenH.A., NguyenH.D, et al.
    2010. Building a Dual-Porosity/Dual-Permeability Reservoir Models for the Ca Ngu Vang Naturally Fractured Basement Reservoir. Technical Report, Hoan Vu JOC.
    [Google Scholar]
  2. NguyenH.A.
    2012. Applied Study on Enhanced Oil Recovery by Tertiary Miscible CO2 Flooding for the Sutuden Basement. Ph.D. Dissertation, Hanoi University of Mining and Geology, Hanoi, Vietnam.
    [Google Scholar]
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