Sequence Stratigraphic Based Facies Prediction Workflow of the Middle Jurassic Lower Fadhili Reservoir, Saudi Arabia
Event name: First EAGE Reservoir Characterization and Modelling Workflows for Giant Carbonate Field Developments of the Middle East
Session: Depositional, diagenetic and sequence stratigraphic models for carbonates
Publication date: 18 February 2019
Info: Abstract, PDF ( 1.3Mb )
Facies prediction is a powerful technique for adding more wells with sedimentological data into the 3D geological model. The technique was applied on the Lower Fadhili Reservoir from Saudi Arabia with a certain workflow. It started with sedimentological description of 15 cored wells from which seven distinct facies were identified. The facies indicate the depositional settings for the Lower Fadhili were middle to outer ramp under normal salinity and open marine conditions. This information was then used to construct the sequence stratigraphic framework of the Lower Fadhili that identifies 10 third-order sequences. Following that, depositional facies and wireline data were integrated to train the logs for facies prediction while utilizing the interpreted stratigraphic surfaces from the framework to constrain the training and prediction within each sequence. Finally, the prediction algorithm was applied to 13 vertical uncored wells, which increased the number of wells with sedimentological data in the field to 28 wells. The outcomes from this workflow will produce a robust 3D geological model with less uncertainty and more realistic distribution of facies as a result of using sequence stratigraphy to constrain the prediction algorithm.