Abstract
Minimum Miscible Pressure (MMP) is among key parameters to predict CO2flooding performance during candidate reservoirs screening process. In this paper, key factors determining MMP are screened after investigation over previous researches, and then by seven samples of oil component, a reasonable empirical function is developed to predict MMP for reservoirs in China, of which coefficients are calculated by genetic algorithm (GA) to improve accuracy for further application. After comparison, it proves better prediction by new function than the ones already existed, which can be widely used for further MMP prediction for pilot reservoir in China.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
