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Novel Stochastic Algorithm in Constructing a Lithofacies Model of Complex Valanginian Carbonate ReservoirNormal access

Authors: A. Salahuddin, Mrs Khan, Mrs Al Ali and Mr Al Hammadi
Event name: First EAGE Reservoir Characterization and Modelling Workflows for Giant Carbonate Field Developments of the Middle East
Session: Advances in carbonate reservoir modelling 
Publication date: 18 February 2019
DOI: 10.3997/2214-4609.201900194
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 348.77Kb )
Price: € 20

The main difficulties in predicting the flow behavior in complex reservoir is related to the heterogeneity which would complicate production forecast, field development, and economic evaluation. Modeling discrete properties such as geological lithofacies presents challenging issues. Therefore a proper lithofacies modeling algorithm is a key to build a robust model that represents subsurface heterogeneity which is fundamental for realistic simulation forecasts. A novel technique for stochastically modeling multirealizations of lithofacies and properties distribution has been established to represent the subsurface complexity, to generate a holistic reservoirs characterization, and to build reliable static and dynamic models. The modeling workflow utilized a hybrid combination of Truncated Gaussian Simulation and Object-Based algorithms. The resulting multirealizations demonstrated consistency with the conceptual scheme, outcrop analogs, and geostatistical trend. The studied reservoir discussed in this paper is unsaturated reservoir with no significant variation of fluid properties. Full field history match was achieved. One of the main improvements of this new reservoir model is its ability to reproduce the field scale reservoir pressure, water cut, and oil rate. Several prediction cases were run considering different field development plan options.

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