As subsurface exploration becomes increasingly complex, there’s less room for error. For exploration and production activities, quantitative interpretation workflows must produce not only a precise prediction of properties but also a good understanding of uncertainties. Ikon’s Time-Lapse Ji-Fi app offers complete 4D fluid tracking capabilities for production and injection scenarios and is applicable in most hydrocarbon production campaigns – and Carbon Capture Utilisation and Storage (CCUS) efforts. The new app provides integration of workflows for a consistent 4D analysis of reservoirs.
As new rock physics models unlock functionality to a larger family of geologic plays and workflows, additional sand, shale and carbonate rock physics models that capture compaction, and clay evolution have been added to the RokDoc and rock physics modelling function (RPML) libraries. Also, a new fractured-carbonate rock physics model for feasibility and prediction of fracture density streamlines data sharing and integration with geomechanics workflows.
Deep QI machine learning and rock physics functions automation is expanded with XGBoost, which is now combined with grid search for parameter tuning. This machine learning property prediction and automated RPML algorithm is further augmented to directly calibrate mineral volumes in rock physics models.
Source : Oil Field