Abstract
Even though numerical simulators that use the finite difference approach to model the oil and gas fields and to forecast the field performance are popular in the petroleum industry, they suffer from a very long central processing unit (CPU) time in the complex reservoirs with large number of grids. This issue could be resolved by streamline simulation and it could significantly decrease the runtime. This work explains the the streamline simulation concept and then a real oil field is studied using this technique, the streamline simulation is conducted by a commercial simulator, i.e., FrontSim streamline simulator and then the model was analyzed to find the optimum location of infill wells. In this work, 34 different cases were studied using Streamline simulation method and FrontSim software by considering different arrangement of infill wells. It was concluded that a significant enhancement in the ultimate recovery factor of the oil reservoir could be attained by considering different arrangement of the infill horizontal and vertical wells. It was highlighted that the ultimate recovery factor could be increased significantly, i.e., 13%. Additionally the water cut of the field could be reduced significantly. The novelty of this work is to capture the impact of both vertical and horizontal wells on the ultimate recovery enhancement simultaneously using the concept of streamline simulation and optimization of the field performance using streamline simulation concept.
Highlights
IntroductionReservoir models are becoming more complex to further demonstrate the geological and fluid dynamic characteristic of the oil and gas reservoirs, these complex reservoir models take a significantly long CPU time (central processing unit time)
Reservoir models are becoming more complex to further demonstrate the geological and fluid dynamic characteristic of the oil and gas reservoirs, these complex reservoir models take a significantly long central processing unit (CPU) time
In order to better understand this contribution, a useful parameter is introduced by the streamline simulation technique called Well allocation factor (WAF)
Summary
Reservoir models are becoming more complex to further demonstrate the geological and fluid dynamic characteristic of the oil and gas reservoirs, these complex reservoir models take a significantly long CPU time (central processing unit time). This issue lead the researches toward the application of the streamline method for the complex reservoirs compared to finite difference approach could result in significantly faster CPU time, a reduced amount of computer memory is required and better convergence is achieved (Jian, Zhang, Du, & Yu, 2008; Samier, Quettier, & Thiele, 2002).
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