Estimation of pressure-saturation and porosity fields from seismic acoustic impedance data using an ensemble based method

In this work, we propose an ensemble based petrophysical pa- rameter inversion framework to estimate static and dynamic reservoir/petrophysical parameters such as saturation, pressure and porosity fields using seismic data. The method uses reservoir-engineering data for the static and dynamic parame- ters as prior information. Here, we use acoustic impedance data (I p ) as seismic data, apply multilevel discrete wavelet trans- forms (DWT) to the measurements, and estimate noise level of resulting wavelet coefficients. We then select the wavelet coef- ficients above a certain threshold value, and perform petrophys- ical inversion using an iterative ensemble smoother. We apply the proposed framework to the 3D Norne field reservoir model. The numerical results indicate that the proposed framework can integrate the reservoir-engineering data as prior knowledge with seismic data, while achieving reasonably good estimates of both static and dynamic reservoir variables.