Paper Title:
GA-Based Minimum Miscible Pressure Prediction
  Abstract

Minimum Miscible Pressure (MMP) is among key parameters to predict CO2 flooding 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.

  Info
Periodical
Advanced Materials Research (Volumes 361-363)
Chapter
Chapter 4: Oil and Gas Well Development Projects
Edited by
Qunjie Xu, Honghua Ge and Junxi Zhang
Pages
530-533
DOI
10.4028/www.scientific.net/AMR.361-363.530
Citation
S. Kun, X. W. Liao, J. Chen, "GA-Based Minimum Miscible Pressure Prediction", Advanced Materials Research, Vols. 361-363, pp. 530-533, 2012
Online since
October 2011
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Price
$32.00
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