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Simulation of Carbonate Reservoir Acidizing Using Fractured Reservoir Theory

Karimi, Ali | 2020

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 53228 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Bazargan, Mohammad
  7. Abstract:
  8. The process of injecting acid or acidizing, is one of the most common ways to stimulate oil and gas wells. The purpose of this process is to increase the productivity of the well by increasing the permeability of the reservoir rock around the well. This is especially important in carbonate reservoirs due to damage to the formation and low intrinsic permeability in some places. In order to minimize the effects of structural damage, conventional wormhole channels are created to pass through the injured area. One of the important factors in acid validation is achieving optimal injection rate, which means obtaining the highest permeability with the lowest amount of injected acid.Numerous modeling has been done to find the optimum conditions for acidizing, the most common of which are proposed by Panga and Golfier. These models provide accurate approximation solutions at the scale of laboratory cores, but are too time-consuming and inefficient for larger-scales like the well scale. In this study, using a dual permeability-dual porosity model, a model is proposed to simulate the acidizing process. In the dual permeability model, the core environment is divided into fracture and matrix. In the proposed model to optimize the process of acid infiltration, we corresponded wormhole and matrix infiltration in the Panga model, to the fracture and matrix in the dual permeability model, respectively.One of the basic parameters in this model is the shape factor which is known as an essential parameter in optimization process. We obtain the best shape factor for the dual permeability model which is equivalent to the Panga model. Since the shape factor data are available in the dual permeability model for finite injection rates, a very powerful deep learning algorithm, which is a subset of artificial intelligence, has been used to extend this parameter to all locations
  9. Keywords:
  10. Numerical Simulation ; Deep Learning ; Artificial Intelligence ; Optimization ; Reservoirs Acidizing ; Double Percolation ; Fractured Reservoirs ; Acidizing Treatment

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