شماره ركورد كنفرانس :
4518
عنوان مقاله :
Oil Resrvoirs Characterization by Parametric Models
Author/Authors :
Abbas Khaksar Manshad Department of Chemical Engineering - School of Engineering - Persian Gulf University, Bushehr , Abolhassan Razminia Department of Chemical Engineering - School of Engineering - Persian Gulf University, Bushehr , Kambiz Razminia Department of Chemical Engineering - School of Engineering - Persian Gulf University, Bushehr , Mojdeh Khaksar Manshad Department of Chemical Engineering - School of Engineering - Persian Gulf University, Bushehr
كليدواژه :
Parametric Models , well-test analysis , Characterization , Oil Resrvoirs
عنوان كنفرانس :
The 7th International Chemical Engineering Congress & Exhibition (IChEC 2011
چكيده لاتين :
Traditional methods of well-test analysis are of limited applicability to well-tests carried out in
reservoirs. Well-test analysis system with A Parametric Models has been constructed that is based
on fast numerical models, rather than the analytical (or semi-analytical) models used in traditional
analysis. This paper investigates the viability of applying a Parametric Models algorithm to DST
data. According to the simulation results, among all standard models, the BJ model with 99.71%
fitness can be chosen to model the behavior of the benchmark reservoir.
