Predict permeability for uncored wells
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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.
Predict permeability for uncored wells
- 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.