Novel Workflow in Modeling Cycles of a Complex Carbonate Reservoirs, Coupling Sequence Stratigraphy and Geostatistics Techniques
The carbonate reservoir lithofacies discussed in this paper contains heterogeneous pore types and properties. The main difficulty in predicting the flow behavior in such reservoir is related to the heterogeneity, which in turn, would complicate production forecast, field development, and economic evaluation. Modeling discrete properties such as lithofacies presents challenging issues. Therefore, an appropriate lithofacies modeling algorithm is a key to build a robust model that represents subsurface heterogeneity, which is fundamental for realistic simulation forecasts. Equiprobable multirealizations of lithofacies and properties were stochastically modelled by integrating high resolution sequence stratigraphy (HRSS) zonation, depositional environment, and diagenesis trend in combination with geostatistics, dynamic data, and basin-scale geological understanding to represent the subsurface complexity. Hence, a combination of Object Based (OB) algorithm and Truncated Gaussian Simulation (TGS) algorithm was employed to handle the complex lithofacies transition. This new holistic approach has recently been successfully implemented in the studied field. The constructed model was able to explain pressure depletion and production rate as shown in historical production data of the field. The resulting dynamic model will hence provide reliable production forecast and reservoirs development plan, which will eventually allow accomplishing the mandate recovery target.
AAPG Datapages/Search and Discovery Article #90370 ©2020 AAPG Middle East Region Geoscience Technology Workshop, 3rd Edition Carbonate Reservoirs of the Middle East, Abu Dhabi, UAE, January 28-29, 2020