Disputas: Zhong Wang

Prøveforelesning

Bedømmelseskomité

Professor C. Richard Liu, Department of Electrical & Computer Engineering, University of Houston, USA
Professor Tor Arne Johansen, Department of Earth Science, University of Bergen
Professor Valerie Maupin, Institutt for geofag, University of Oslo

Leder av disputas:  Professor Annik M. Myhre

Veileder:  Leiv-J. Gelius og Fan-Nian Kong

Sammendrag

Investigation of the electric properties of reservoir rocks based on rock-physics modeling and laboratory experiments is the theme of the doctoral dissertation of Zhong Wang. This work has been carried out as a collaboration between Department of Geosciences, UiO, and NGI (Norwegian Geotechnical Institute). The research has been funded by the Norwegian Research Council and StatoilHydro.

Better understanding of the electric properties of a hydrocarbon reservoir

Instrumentation has been developed that can measure simultaneously both the electric and acoustic properties of reservoir rocks at complex (reservoir) conditions (e.g. high temperature, high pressure etc.). Such simultaneous measurements can be used to constrain joint interpretation and inversion of seismic and marine controlled-source electromagnetic (mCSEM) data in the future. Moreover, these core sample measurements can also be used to calibrate and evaluate frequently employed rock-physics modeling schemes.

Integrating rock-physics with standard mCSEM modeling

m(marine)CSEM is a new emerging technique based on electromagnetic illumination of the subsurface and with the potential of discriminating between different pore fluids. It can therefore serve as a supplementary method to seismic when it comes to fluid prediction and monitoring. However the method faces challenges due to its generally low resolution and low sensitiveness to the complexity of hydrocarbon reservoirs. To improve the basic understanding of mCSEM improved modeling tools are needed. A new electric rock-physics model has been developed taking into account the complexity of a reservoir under production. By interfacing this rock-physics formulation with a standard EM modeling program, an improved understanding of mCSEM data can be obtained that can benefit both interpretation as well as inversion.

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