In this work, we investigate the applicability of an ensemble based petrophysical parameter inversion framework to decouple changes in porosity field from dynamic reservoir/petrophysical parameters such as changes in saturation, pressure using timelapse seismic data as measurement. Here, changes in inverted acoustic impedance (DIp) is considered as seismic data. The suggested approach works under the Bayesian inversion problem where the prior is provided as an ensemble of changes in pressure-saturations and porosity fields. Here, the realizations of the prior model are generated using geostatistical method and reservoir simulator. The prior model parameters are then updated to account for the information available from acoustic impedance changes using an iterative ensemble smoother. The outcome is a new ensemble of changes in pressure-saturation and porosity fields that honors the seismic data. The proposed framework is applied and validated on a 3D sector model of a compacting reservoir field coming from the North Sea with promising results.
Presentation Date: Monday, October 12, 2020
Session Start Time: 1:50 PM
Presentation Time: 3:30 PM
Location: 362D
Presentation Type: Oral
