Meeting the reservoir characterization challenges with petrophysical joint inversion

We introduce Petrophysical Joint Inversion (PJI) to enhance reservoir characterization through a robust petrophysical model that makes full use of the complementary information contained in multi-physics data such as seismic and Controlled Source ElectroMagnetics (CSEM). The advent of CSEM brings the quantitative integration of resistivity data within the seismic characterization workflow. We show that this multi-physics approach reveals the potential to significantly improve the accuracy with which reservoir properties in general, and saturation in particular, can be determined with resistivity providing a quantitative estimator of commercial HC accumulation trapped in clastic reservoirs. One of the approach toughest challenges due to the different input data resolution was reconciled applying a ‘localized’ model-based 3D CSEM inversion. This inversion is capable of reconstructing improved-resolution resistivities contained within the seismically derived vertical and lateral reservoir boundaries. Through a case study, based on a deep water oil field offshore Brazil, we demonstrate the power of PJI to retrieve the reservoir parameters and augment the certainty with which reservoir lithology and fluid properties are constrained. Presentation Date: Wednesday, September 27, 2017 Start Time: 3:55 PM Location: 330A Presentation Type: ORAL