TY - GEN
T1 - New approach for geomodeling and dynamic calibration of carbonate reservoirs using porosity determined system (PODS)
AU - Kazemi, A.
AU - Corbett, P.
AU - Wood, R.
PY - 2012
Y1 - 2012
N2 - More than 50% of oil and gas resources are located in carbonate reservoirs in the world. In reservoir management purposes, it is very essential to have a reliable simulation model in order to understand the production phenomena for these reservoirs. In this work we are introducing a new concept for geological modeling and dynamic simulation of carbonate reservoirs. The distribution of porosity is often the only mappable property in the subsurface with uncertain geometry (i.e a pod). Permeability can be predicted from porosity if the nature of the porosity is understood and by utilising the right rock type(s) for each pod. This workflow is based on understanding and simulation of the heterogeneity of reservoir caused by porosity variations with permeability predicted from a rock typing approach. We have developed the workflow during a modeling study of the Algerita Escarpment outcrop located in NewMexico to show how dynamic data might be incorporated to reduce the uncertainty in subsurface property prediction and ultimately improve oil recovery. The approach termed (Porosity Derived System) has wide application to other systems where the reservoir flow dynamics are controlled by, likely poorly constrained, clusters of porosity creating pods of permeability, whether depositionally, diagenetically or fracture-controlled.
AB - More than 50% of oil and gas resources are located in carbonate reservoirs in the world. In reservoir management purposes, it is very essential to have a reliable simulation model in order to understand the production phenomena for these reservoirs. In this work we are introducing a new concept for geological modeling and dynamic simulation of carbonate reservoirs. The distribution of porosity is often the only mappable property in the subsurface with uncertain geometry (i.e a pod). Permeability can be predicted from porosity if the nature of the porosity is understood and by utilising the right rock type(s) for each pod. This workflow is based on understanding and simulation of the heterogeneity of reservoir caused by porosity variations with permeability predicted from a rock typing approach. We have developed the workflow during a modeling study of the Algerita Escarpment outcrop located in NewMexico to show how dynamic data might be incorporated to reduce the uncertainty in subsurface property prediction and ultimately improve oil recovery. The approach termed (Porosity Derived System) has wide application to other systems where the reservoir flow dynamics are controlled by, likely poorly constrained, clusters of porosity creating pods of permeability, whether depositionally, diagenetically or fracture-controlled.
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U2 - 10.3997/2214-4609.20148548
DO - 10.3997/2214-4609.20148548
M3 - Conference contribution
AN - SCOPUS:84928141269
T3 - 74th European Association of Geoscientists and Engineers Conference and Exhibition 2012 Incorporating SPE EUROPEC 2012: Responsibly Securing Natural Resources
SP - 2748
EP - 2752
BT - 74th European Association of Geoscientists and Engineers Conference and Exhibition 2012 Incorporating SPE EUROPEC 2012
PB - European Association of Geoscientists and Engineers, EAGE
T2 - 74th European Association of Geoscientists and Engineers Conference and Exhibition 2012 Incorporating SPE EUROPEC 2012: Responsibly Securing Natural Resources
Y2 - 4 June 2012 through 7 June 2012
ER -