Investigating the Dispersion Phenomenon in Fluid Flow through Porous Media Using Percolation Theory

Keybondorian, Ebrahim | 2018

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 50446 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Masihi, Mohsen; Ganjeh Ghazvini, Mostafa
  7. Abstract:
  8. Many processes in the petroleum engineering industry involve particle transport in oil and gas reservoirs including sand production, fines migration, and nanoparticle injection. In these processes it is important to understand where the particles are travelling in the reservoir and the impact that they have on the formation properties. Large particles can damage the formation and decrease permeability which reduces the productive capacity of the reservoir. During nanoparticle injection, forces at the pore level can cause retention of particles and prevent their recovery. In addition, due to the heterogeneity of typical reservoirs, it is difficult to predict how particles will spread across the formation. Determining the fate of particles traveling through petroleum reservoirs requires an extensive knowledge of particle transport behavior in porous media. Dispersion in a porous medium is a consequence of the different flow paths and speeds which make a range of transit times available to a concentration front or a collection of tracer particles convected across the porous medium. In this study, the process of particle injection in a square two-dimensional pore network model near the percolation threshold and also higher occupancy probability values with using percolation theory is simulated, which increasing occupancy probability or in other words whatever The threshold is got away, the both longitudinal and transverse dispersion coefficients increase, also due to the different values of the occupancy probability, the ratio of the longitudinal dispersion coefficient to the transverse dispersion coefficient is an average of 2.7953 ( DL/DT ≅2.7953) which is consistent with the ratio that Sahimi et al. for a complete network with the occupancy probability value of one(P=1 ) achieved (DL/DT≅2.88 ). In addition, the effect of mechanical straining of particles, which is the only mechanism of particle trapping that considered in this study, has been investigated on various system properties such as permeability, porosity and dispersion coefficients
  9. Keywords:
  10. Percolation Theory ; Pore Network Model ; Fluid Flow ; Dispersion Coefficient ; Porous Media ; Transport Phenomena

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