Postgraduate Profiles

Mohammad Emami Niri

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Thesis: Closing the loop – 3D/4D seismic data integration in Reservoir Model Updating

This research project consists of two main aspects: 1) develop innovative methods/concepts to construct an initial reservoir model to be consistent with (i.e. match upon forward modelling) both the geologic depositional model and the baseline 3D seismic survey, and serve as a good starting point for the history matching process; and 2) develop practical methods/tools to integrate 4D seismic data in the joint history matching of seismic and production data. During this project we will address significant practical issues including petrophysical modelling and calibration; reservoir model up/downscaling and grid framework issues between seismic, geomodel and flow model scales; and forward seismic modelling and inversion methods to integrate 3D/4D seismic data into the reservoir history matching process.

The results of this project are expected to advance the frontier of reservoir model updating, and may serve as a useful analogue for relevant oil and gas field projects on the NW Shelf. The developed workflows should improve the reliability of static and dynamic reservoir models by reducing the uncertainties associated with the data.

Why my research is important

The complex geological architecture in turbidite reservoirs, coupled with multi-billion dollar development schemes (i.e., dry or wet tree wells, subsea pipeline system and floating facilities), makes field development planning a very challenging task. For this reason, nowadays, Oil & Gas companies are moving into “Reservoir-Model-Centric workflows”. This increasing demand for Closed-loop (or real-time) reservoir management technologies, for more reliable and efficient monitoring of the reservoir during the life time of the production, can be improved by integration of 3D/4D seismic data.

To date, no such detailed study has been undertaken before, from the starting point (initial model) to end of the history matching (joint matching of production and 4D data) on Australian oilfields in academic areas, and it can predicted that the results of this research and the developed methods, tools and algorithms will make an original and significant contribution to the energy industry in Australia and the world, and may have application to other general subsurface fluid flow research such as CO2 sequestration, groundwater hydrology, etc..

Funding

Aug 2011