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Estimation of Reservoir Performance Parameters Using Percolation Approach

Sadeghnejad Limouei, Saeeid | 2011

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 41951 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Masihi, Mohsen; Shojaei, Ali Akbar; Pishvaie, Mahmoud Reza; Rabert King, Peter
  7. Abstract:
  8. The conventional approach to investigate the reservoir performance is to build a detailed geological model, upscale it, and finally run flow simulation which is computationally very expensive. In addition, during the early stage of life of a reservoir, due to the lake of certain data, this method is usually based on analogues or rules of thumb and not detailed reservoir modelling. Therefore, there is a great incentive to produce much simpler physically-based methodologies. The main focus of this thesis is to use percolation approach to estimate the uncertainty in the reservoir properties. This method considers a hypothesis that the reservoir can be split into either permeable (i.e. sand/fracture) or impermeable rocks (i.e. shale/matrix) and assumes that the connectivity of the permeable fraction (flow units) controls the flow. The physical properties of such systems are related to the density of objects (sandbodies) placed randomly in a reservoir. The main outputs of this method are classified as some master curves form which all predictions can be made by some algebraic calculations. The approach taken in this study is to use percolation theory to quantify the connectivity, effective permeability, breakthrough time, and post breakthrough behaviour between an injector and a producer within such systems. The present work concentrates on the field scale applications of percolation theory to generate master curves of isotropic reservoirs and extend the applicability of the methodology to include anisotropy, distribution of size, orientation and complicated sandbody shapes. Furthermore, to validate the approach, we have used the Burgan reservoir dataset of Norouz offshore oil field in the south of Iran
  9. Keywords:
  10. Percolation Theory ; Performance Evaluation ; Forecast Evaluation ; Forecasting ; Reservoir Properties ; Field Scale

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