TY - GEN
T1 - Dynamic data integration in stochastic reservoir models
AU - Kashib, T.
AU - Srinivasan, S.
N1 - Funding Information:
Financial support provided by COURSE (Coordination of University Research for Synergy and Effectiveness, AERI) and by EnCana Corporation for the completion of this research is acknowledged with gratitude.
Publisher Copyright:
© Canadian International Petroleum Conference 2003, CIPC 2003.All Rights Reserved.
PY - 2018
Y1 - 2018
N2 - Developing geostatistical reservoir models that are geologically realistic and correctly reflect production history is important for accurately assessing the uncertainty associated with production forecasts. Conditioning reservoir models to dynamic data is challenging due to the non-linear relationship between the measured flow response data and the model parameters (porosity, permeability etc.). Recently, a novel methodology was presented to integrate geological as well as production information into reservoir models in a probabilistic manner (CIM paper 2002-125). In this paper we investigate the convergence aspects of the algorithm and propose an extension to account for multiple flow domains in a reservoir and locally varying deformation parameters. The improved methodology is validated on a complex reservoir model.
AB - Developing geostatistical reservoir models that are geologically realistic and correctly reflect production history is important for accurately assessing the uncertainty associated with production forecasts. Conditioning reservoir models to dynamic data is challenging due to the non-linear relationship between the measured flow response data and the model parameters (porosity, permeability etc.). Recently, a novel methodology was presented to integrate geological as well as production information into reservoir models in a probabilistic manner (CIM paper 2002-125). In this paper we investigate the convergence aspects of the algorithm and propose an extension to account for multiple flow domains in a reservoir and locally varying deformation parameters. The improved methodology is validated on a complex reservoir model.
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M3 - Conference contribution
AN - SCOPUS:85057428297
SN - 9781613991107
T3 - Canadian International Petroleum Conference 2003, CIPC 2003
BT - Canadian International Petroleum Conference 2003, CIPC 2003
PB - Petroleum Society of Canada (PETSOC)
T2 - Canadian International Petroleum Conference 2003, CIPC 2003
Y2 - 10 June 2003 through 12 June 2003
ER -