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Optimal Allocation of the Injection Gas for Gas Lift in one of the Oil Field by using Algorithms

Afsharian Torghabeh, Masoud | 2017

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  1. Type of Document: M.Sc. Thesis
  2. Language: English
  3. Document No: 49557 (66)
  4. University: Sharif University of Technology, International Campus, Kish Island
  5. Department: Science and Engineering
  6. Advisor(s): Masihi, Mohsen; Ghazanfari, Mohammad Hossein
  7. Abstract:
  8. At the early stages of production, oil reservoirs may have enough energy to push the oil from the reservoir into the wellbore and subsequently from the wellbore to the surface. When the reservoir energy is too low for the well to flow, or the production rate desired is greater than the reservoir energy can deliver, using some kind of artificial lift method to provide the energy to bring the fluid to the surface, seems to be necessary. Continuous flow gas lift is one of the most common artificial lift methods widely used in the oil industry during which, at appropriate pressure, gas is injected in a suitable depth into the tubing to gasify the oil column, and thus assist the production. Each well has an optimal point at which it will produce the most oil. In ideal conditions, at which there is no limitation in the total amount of available gas, a sufficient amount of gas could be injected into each well to get the maximum amount of production. In this project a new method for finding the optimum gas injection rates for a group of continuous gas lift wells to maximize the total oil production rate is established. Therefore, allocating an optimum amount of gas to each well to obtain field maximum oil production rate is necessary. In this work, ABC, PSO and GA algorithms were used to allocate the optimum amount of gas to a group of wells for one field with three wells. Based upon the total production rates of the studied oil field resulting from the gas allocation to the wells, ABC method allocates the optimum injected rate followed by PSO and GA algorithm
  9. Keywords:
  10. Gas Allocation ; Gas Lift ; Artificial Lift ; Heuristic Random Optimization (HRO) ; Improved Oil Recovery

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