- 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 = "
https://faculty.ksu.edu.sa/en/kelshreef/publication/217271",
-
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",
