Affiliations: [a] MOE Key Laboratory of Petroleum Engineering, China University of Petroleum, Beijing 102249, China | [b] Department of Chemical and Petroleum Engineering, University of Calgary, Calgary, Alberta T2N 1N4, Canada
Correspondence:
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Corresponding author: Xiaohu Dong, MOE Key Laboratory of Petroleum Engineering, China University of Petroleum, Beijing 102249, China. Tel.: +86 13466794958; E-mail:[email protected]
Abstract: The prediction of the recovery performance for
Steam-Assisted-Gravity-Drainage (SAGD) process is becoming increasingly
important as the SAGD projects all over the world continue to increase.
Currently most of these models are analytical or semi-analytical methods,
and the predicting process is much complicated. In this paper, based on the
grey system theory, we developed a weighted grey correlation model. Aiming
at a typical thick heavy oil reservoir from Bohai offshore oilfield, China,
the influences of reservoir/fluid parameters and operation parameters on
SAGD recovery performance are comprehensively evaluated through this model.
And a sensitive sequence of each parameter is derived to reflect the
sensitive degree. Thus a static multi-parameter correlation is proposed to
predict the oil recovery factor and cumulative oil-steam ratio (COSR) of
SAGD process. Then, this correlation is used to predict the SAGD recovery
performance in some potential thick heavy oil reservoirs of Bohai oilfield
and the results are compared against the numerical simulation models.
Thereafter, we investigate some successful and operating SAGD projects
around the world and use the correlation to estimate the recovery
performance of them. This correlation is a static method to predict the
recovery performance of SAGD process and it could be used to successfully
predict the recovery performance of SAGD projects.
Keywords: Heavy oil reservoir, correlation, SAGD, numerical simulation, recovery performance
