چكيده به لاتين
Abstract:
This thesis from the subject aspect is divided in to two parts. In the first part, the streamline method in order to simulating two phase flow in a heterogeneous reservoir with dependent relative permeability to the temperature, will be extended. In the stream line method the pressure equation and the effects of heat conduction will be solved simultaneously on a 3-D Eulrian's grid. Then after defining time of flight parameter, the saturation and temperature equations will be mapped on the streamlines and will be solved in 1-D situation. At last the results will be mapped to the base grid again and all of the abovementioned steps will be repeated until the end of simulation time. In order to prove the ability of stream line for handling non-linear problems, the results of stream lines method will be compared with those of a commercial software and the results will be validated. In continue, the impact of dependency of relative permeability to the temperature on the oil recovery will be investigated in two types of reservoirs and it will be shown that neglecting of these effects can cause relatively significance errors in the final results.
In the second section of this thesis the aim is optimizing hot waterflooding in heavy oil reservoirs with particle swarm optimization algorithm. In this section, the impact of temperature of injected water, rate of injected water and bottom hole pressure of producers on the cumulative oil production in the heavy oil sand stone reservoir will be examined. In this part, first by optimizing the temperature of injected water in the 2-D sand stone reservoir with 13 wells, the existence of optimize and unique temperature for each well will be proved. In the next level, this work will be done successfully for a 3-D reservoir. The results show that, first, the PSO algorithm can optimize the hot waterflooding problems very well, and second, optimizing of temperature of injected water can cause improving in enhance oil recovery from heavy oil sand stone reservoirs.
Keywords: Streamline simulation method, Relative permeability, Temperature, Optimizing by PSO
