The full text of this article
Uncertainty assessment and risk analysis of steam flooding by proxy models, a case study
by Hamed Panjalizadeh; Nasser Alizadeh; Hadi Mashhadi
International Journal of Oil, Gas and Coal Technology (IJOGCT), Vol. 7, No. 1, 2014
Abstract: Many uncertainties exist in development of oil fields. Developing proxy models as substitutes for reservoir simulators is a fast method for uncertainty analysis. Artificial neural network (ANN) and polynomial regression models (PR) were used as proxy models in a sector of an Iranian heavy oil reservoir under steam flooding scenario. Screening analysis was used to find influential uncertain parameters. Different experimental designs have been applied to construct proxy models. A combination of Box-Behnken and inscribed central composite designs was most informative design. Comparison between proxy models results and simulator outputs shows that ANN and PR models can accurately predict the simulator outputs. However, the deviation of ANN from actual results is less than quadratic polynomials. The constructed proxy models were used in Monte Carlo simulation to obtain probabilistic production forecasts. The combination of experimental design and proxy models is a fast and accurate tool for risk analysis and prediction. [Received: July 12, 2012; Accepted: November 8, 2012]
Online publication date: Sat, 24-May-2014
is only available to individual subscribers or to users at subscribing institutions.
Go to Inderscience Online Journals to access the Full Text of this article.
Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.
Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Oil, Gas and Coal Technology (IJOGCT):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable).
See our Orders page to subscribe.
If you still need assistance, please email email@example.com