Sharif University researcher develops optimum oil production method

TEHRAN, Nov. 17 (MNA) – A Sharif University of Technology researcher has found an ‘optimum method’ to produce oil which is resistant to waterflooding. The method reportedly provides an effective step in solving uncertainty problems in optimal modeling of maximal production from oil wells, something oil companies would hail as a capability. Oil companies use methods to produce the remaining oil in the wells after preliminary extractions; waterflooding is such a method where a certain type of liquid is pumped into the reservoir to send the remaining oil to the surface through increasing the pressure in reservoirs; some methods have been suggested to optimize modeling of the process. One such suggestion came by a PhD project recently finished in Sharif University of Technology, Tehran. Due to incomplete data about the reservoirs and uncertainty in market conditions especially oil prices, these methods are affected by uncertainties minimizing the reliability of the answers provide by these methods; attempts to alleviate the impact of these uncertainties have led to resistant optimization modeling; while these modeling attempts are inherently multipurpose, the fact had attracted few inquisitive eyes among the researchers. A researcher of Sharif University of Technology proposed a method for ‘effective optimization of oil production by waterflooding method,’ which has produced more improved results compared to other methods. Elham Yasari, the project director, experimented with several candidate models to study uncertainty; she compared the findings of 100 nominal resistance optimizations along with maximum injection rate conditions. She also introduced two resistance optimization multipurpose methods based on Taguchi functions in reaching to most optimal method.