ADNOC has developed a new tool called "PERM42" to predict permeability in uncored wells. PERM42 can use 1-6 well log parameters to train models and predict permeability where there are no core samples. It was tested on four wells where it closely matched actual core permeability measurements. Permeability modeling is crucial but difficult, consuming most of the time in reservoir characterization. ADNOC hopes PERM42 can improve predictions and streamline the process.

1. “PERM42”
A New Technology to Predict Reservoir
Permeability for Uncored Wells

2. 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

3. 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 any
Reservoir Characterization Work
Over 90% of the time consumed during iteration process
between Static & Dynamic models is due to
Permeability Model Adjustment
ADNOC has build its own permeability prediction tool that
showed encourage results

4. 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.

5. Core & Predicted Permeability’s Distribution Trend

6. Core & Predicted Permeability’s per Well, Case Example
“PERM42”, shall honor all intervals that have core permeability measured
values, and it would generate permeability values for uncored interval, while
respecting barriers and high permeability streaks.