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Characterization of Naturally Fractured Reservoirs Using Intelligent Integration of Diverse Data Sources

Vaziri, Mohammad | 2010

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 40898 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Pishvaie, Mahmoud Reza; Masihi, Mohsen
  7. Abstract:
  8. Naturally fractured reservoirs are essentially very complicated; therefore we need a systematic and reliable characterization process in order to model, analyze displacement phenomena, simulate, develop, and schedule production and other engineering processes. These kinds of reservoirs have multi-scale asymmetry while there is no specific tool to fully characterize them, and on the other hand the field data (including stratigraphy, core study, well testing and seismology) have different resolutions and accuracies, though their significant role to investigate naturally fractured reservoirs. The objective of this project is to investigate the different data sources and present their integration algorithm in order to characterize the fracture network. Performance validation will be conducted through direct and inverse modeling. The methodology will be achieved by the combination of mathematical and artificial intelligence methods including stochastic simulations, geostatistics, fuzzy logic and artificial neural network. A section of an Iranian offshore reservoir is used as a case study. This reservoir has an advantage over other carbonate reservoirs due to the available information and different conducted tests. All of the steps to build a comprehensive model of different petrophysical properties, specially the fracture density properties have been studied. The results are evaluated to meet the validity measures. Finally, suggestions for the future works are offered.

  9. Keywords:
  10. Geostatiatics ; Stochastic Simulation ; Artificial Neural Network ; Reservoir Rock Characterization ; Fractured Reservoirs ; Naturally Fracture

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