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Analysis of Conductivity between Two Points (Wells) in 2D Conventional Reservoir Models with Percolation Structure

Tavagh-Mohammadi, Behnam | 2015

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 47988 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Massihi, Mohsen
  7. Abstract:
  8. The nature of fluid flow in hydrocarbon reservoirs is very complex because of the complicated sedimentary processes. Proper modeling of distribution of these heterogeneities is crucial, affecting all aspect of fluid flow. The conventional approach to investigating the impact of geological uncertainties on the prediction of reservoir performance is to build a detailed geological model using geophysical, geological and petrophysical data, upscale it and finally perform flow simulation. Because of uncertainties in the data, it is necessary to construct a number of possible geological models and then run flow simulations many times to get a reliable model. This approach is computationally very expensive. Thus, there is a great incentive to produce a much simpler, physically-based methodology to predict uncertainties in the reservoir performance very quickly, especially for engineering purposes. Here, percolation theory is used for quantifying interwell connectivity and effective permeability. A two dimensional site percolation model is used that assumes the geological formation can be split to permeable and impermeable parts. In previous studies, to test for interwell connectivity and effective permeability in two dimensions, it have looked for connectivity between two lines. In reality we need to know what fraction of permeable phase is connected between two points. Here, comprehensive simulations performed and interwell connectivity in terms of net-to-gross ratio obtained for different system sizes. The results show that the connectivity between points is much lower than that between lines. Finally, the master curve of connectivity and its associated uncertainty presented
  9. Keywords:
  10. Connectivity ; Percolation ; Conventional Reservoirs ; Effective Permeability ; Net-to-Gross Ratio

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