Prepare data and QC model for future reservoir simulation

The Alamein Petroleum Company sought to develop an accurate field development plan for the Abu Roash Formation, one of two producing dolomite and dolomitic limestone reservoirs in Horus field, Egypt. However, several challenges developed when preparing input data for future model simulations and performing QC of the static model. The type of data available for analysis was not ideal, but typical. There were two competing geologic models, uncertainty concerning pressure communication between compartments, no core analysis for rock characterization, unrepresentative PVT tables due to water injection, commingled production in some wells, and unpredictable access to workover histories.

Use the Petrel platform and ECLIPSE simulator to manage, develop, and QC data

Schlumberger recommended using Petrel Reservoir Engineering (RE), OFM software, and the ECLIPSE simulator to manage, develop, and process fluid and reservoir properties from well logs, well tests, production data, and simulated data, incorporating this data and results into a unified project dataset. In the absence of core data in this project, analysis of well logs generated special core analysis (SCAL) data to characterize the dolomite and dolomitic limestone facies. For each facies, these data were then used to derive averaged relative rock permeability by normalization and denormalization processing. In addition, use of the Leverett-J function, available within the Techlog Saturation-Height Modeling (SHM) module, derived the averaged capillary pressure information. Correction and interpretation of MDT modular formation dynamics tester data verified fluid contacts, pressures, and fluid gradients for evaluating communication between the two field compartments. The Alamein reservoir engineering team coordinated access to the workover history reports and used the ECLIPSE simulator’s pressure volume temperature index to generate the new representative equation-of-state model that simulated a predictive PVT model, taking into account reservoir fluid behavior with water injection.

When all input data were prepared, evaluation of the two competing static models and overall QC was performed in the Petrel platform using log well tops and pay-zone contact areas to compare with the static models.