The Stanford VI-E Reservoir: A Synthetic Data Set for Joint Seismic-EM Time-lapse Monitoring Algorithms

A large-scale data set including time-lapse (4D) elastic attributes and electrical resistivity is generated with the purpose of testing algorithms for reservoir modeling, reservoir characterization, production forecasting, and especially joint time-lapse monitoring using seismic as well as electromagnetic data. The Stanford VI reservoir, which was originally created by Castro et al. (2005), is a three-layer prograding fluvial channel system, and its structure corresponds to an asymmetric anticline with axis N15°E. The reservoir provides an exhaustive data set (6 million cells) of petrophysical properties, seismic attributes, as well as time-lapse seismic data. Due to the need of testing field management algorithms using time-lapse electromagnetic and seismic data, several extensions and modifications are incorporated into an updated version of the data set, named as Stanford VI-E reservoir. Archie’s method (1942) and Waxman-Smits model (1968) are applied to create electrical resistivity for sand and shale facies respectively. Also, the rock physics models for seismic velocities are improved to give more realistic 4D seismic data. Flow simulation with different fluids within facies is performed to obtain the changes in saturation after oil production. Based on the result of the flow simulation, electrical resistivity and elastic attributes are calculated at different times during production.