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Estimation of Water/Oil Two-Phase Flow Functions in Porous Media using Meta-Heuristic Algorithms

Saedi, Farhad | 2023

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 56652 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Fatemi, Mobeen; Taghikhani, Vahid
  7. Abstract:
  8. Oil and gas production from oil reservoirs is significantly affected by rock and fluid properties. Relative permeability and capillary pressure are two key flow functions that are used in the numerical modeling of processes related to the porous environment of oil and gas reservoirs at the core scale and above. The use of incorrect relative permeability and capillary pressure curves can lead to inappropriate prediction of the future behavior of the reservoir, which in turn affects future management decisions. Due to the time-consuming nature of obtaining flow functions from the steady state method, history-matching techniques are generally used to estimate these functions as accurately as possible from the results obtained from core flooding experiments using the unsteady method using core simulation. Metaheuristic algorithms are algorithms that are inspired by nature, physics, and humans and are used to solve many optimization problems. In recent years, one of the most important and promising research in the field of solving mixed problems has been the use of ”metaheuristic methods derived from nature and physical phenomena”. Since in the oil industry, we face many complex, time-consuming problems with high uncertainty, such as obtaining flow functions simultaneously, the need to use such solutions to achieve an optimal answer in a short period of time is very important. Therefore, in this research, meta-heuristic algorithms have been used to predict relative permeability and capillary pressure diagrams. In previous studies, researchers have introduced the genetic algorithm as an algorithm with high accuracy and effciency in order to obtain flow functions, however, in recent years, advanced and new algorithms have been developed that provide better performance in various complex problems, compared to the genetic algorithm in terms of accuracy and program execution time. In this research, in addition to the genetic algorithm, three other new algorithms have been used, and the results are very satisfactory. In this study, an artificial core flooding model is used as a criterion to evaluate the accuracy and efficiency of the algorithms. Among the used algorithms, the SOS algorithm provides the best history matching and consequently the best estimation of flow functions. Also, the analysis of the computational time shows that the LAHC algorithm has the shortest execution time in the same loop number of iterations.
  9. Keywords:
  10. Flow Functions ; Relative Permeability ; Capillary Pressure ; Simulation ; History Matching ; Meta Heuristic Algorithm ; Two Phase Water-Oil

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