predict permeability for uncored wells
TRANSCRIPT
Petrophysical Modeling (Permeability)
10-20% Cored Wells
80-90% Uncored
Wells
ADNOC Permeability Prediction Model
Blind Test Permeability Prediction
well # 1
well # 2
well # 3
well # 4
Core Perm Predicted Perm
Petrophysical Modeling (Permeability)
10-20% Cored Wells
80-90% Uncored
Wells
ADNOC Permeability Prediction Model
Blind Test Permeability Prediction
well # 1
well # 2
well # 3
well # 4
Core Perm Predicted Perm
Permeability modeling is the most challenging task in anyReservoir Characterization Work
Over 90% of the time consumed during iteration processbetween Static & Dynamic models is due to
Permeability Model Adjustment
ADNOC has build its own permeability prediction tool thatshowed encourage results
Permeability-Porosity Relationship, Case Example
14,792 data set 265,772 data set
“PERM42”, has been designed to use from 1 to 6 logs parameters for data training to predict permeability’s for uncored depth intervals.
In the following example, only Porosity and Sw logs as input data were used.