A new approach calculate oil-gas ratio for gas condensate and volatile oil reservoirs using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@Article{Fattah:2012:OGB,
  author =       "K. A. Fattah",
  title =        "A new approach calculate oil-gas ratio for gas
                 condensate and volatile oil reservoirs using genetic
                 programming",
  journal =      "Oil and Gas Business",
  year =         "2012",
  number =       "1",
  pages =        "311--323",
  month =        jan # "-" # feb,
  keywords =     "genetic algorithms, genetic programming, Discipulus,
                 Exploration. Geology and Geophysics, oil-gas ratio, PVT
                 lab report, gas condensate, volatile oil, modified
                 black oil simulation",
  ISSN =         "1813-503X",
  URL =          "http://www.ogbus.ru/eng/2012_1.shtml",
  URL =          "http://www.ogbus.ru/eng/authors/Fattah/Fattah_2.pdf",
  size =         "13 pages",
  abstract =     "In this work, we develop a new approach to calculate
                 oil-gas ratio (Rv) by matching PVT experimental data
                 with an equation of state (EoS) model in a commercial
                 simulator (Eclipse simulator) using genetic programming
                 algorithm of commercial software (Discipulus). More
                 than 3000 data values of Rv obtained from PVT
                 laboratory analysis of eight gas condensate and five
                 volatile oil fluid samples; selected under a wide range
                 of composition, condensate yield, reservoir temperature
                 and pressure, were used in this study.

                 The hit-rate (R-squared) of the new approach was 0.9646
                 and the fitness variance for it was 0.00025 and the
                 maximum absolute error was 7.73percent. This new
                 approach was validated using the generalised material
                 balance equation calculated with data generated from a
                 compositional reservoir simulator (Eclipse
                 simulator).

                 The new approach depends only on readily available
                 parameters in the field and can have wide applications
                 when representative lab reports are not available.",
  notes =        "Electronic scientific journal, Ufa State Petroleum
                 Technological University, Russian Federation.
                 http://www.ogbus.ru/eng/editorial_board.shtml#about

                 UDC 622.276 In English",
}

Genetic Programming entries for Khaled Abdel Fattah Elshreef

Citations