Enhanced Interative Formation Evaluation of El Tordillo Field, San Jorge Basin, Argentina: Using Electrofacies and Production Prediction Index Determination SPE 69479
Language: Inglés Series: Stinco, L ; Publication details: Dallas, Texas Society of Petroleum Engineers 2001Online resources: Summary: Formation evaluation, electrofacies and production prediction index determination based on inductive and deductive methodologies were completed in El Tordillo Field, North Flank of the San Jorge Basin, Argentina. The applied methodology consists of a number of steps including: data editing and normalization of the log data, modeling of the deep resistivity, electrofacies determination, standard log analysis, computing a production prediction index and summations. The 15 electrofacies determined were associated with the geological facies encountered within the field using cutting and core data. Consequently, porosity/permeability relationships were established between the core data and the productive electrofacies. These relationships permit to compute permeability from the computed effective porosity. A production prediction index was derived from the computed results which correlate well with existing production data. Zones of possible by-passed production were identified and some tested successfully. Finally, summations were used as input for original oil in place estimation, geological modeling and numerical simulation.| Current library | Status | Barcode | |
|---|---|---|---|
| Biblioteca virtual | Not for loan | 200003043 |
Formation evaluation, electrofacies and production prediction index determination based on inductive and deductive methodologies were completed in El Tordillo Field, North Flank of the San Jorge Basin, Argentina. The applied methodology consists of a number of steps including: data editing and normalization of the log data, modeling of the deep resistivity, electrofacies determination, standard log analysis, computing a production prediction index and summations. The 15 electrofacies determined were associated with the geological facies encountered within the field using cutting and core data. Consequently, porosity/permeability relationships were established between the core data and the productive electrofacies. These relationships permit to compute permeability from the computed effective porosity. A production prediction index was derived from the computed results which correlate well with existing production data. Zones of possible by-passed production were identified and some tested successfully. Finally, summations were used as input for original oil in place estimation, geological modeling and numerical simulation.
