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Contacts: |
Paul Stoffa, email: pauls@ig.utexas.edu, at UTIG |
Project Support: We seek funding of $1.2M per year for 4 years for this project from 4 or at most 5 sponsors.
Detailed Information: Int_Opt_Software_Framework_UTIG.pdf
About this project: Joint inversion of flow and seismic data for reservoir parameters involves a multi-physics, multi-resolution optimization problem that is highly non-linear. Over the past three years, we have been evaluating different aspects of this highly complex problem using realisticsynthetic examples. We employ a global optimization method based on very fast simulated annealing (VFSA) and wavelet transform/pilot point based model parameterization schemes. Initial feasibility tests of the optimization method which includes history matching and 4D seismic data matching based on reservoir and seismic modeling have been completed and the software framework designed. This project seeks to extend this conceptual framework to a robust data analysis tool by moving the software from the prototype stage to the level where supporters of the project can easily modify the software to meet their own objectives and incorporate their unique simulation modules. Research will focus on refining the optimization strategies and the incorporation of additional geophysical simulation modules for expanded data matching capabilities.
An example of inversion for porosity by joint inversion: the toppanel shows true porosity values at five layers of a 3D reservoir model and the bottom panel shows inverted porosity models for the fivelayers. Note that the model parameterization scheme employed here is ‘pilot points’ which estimates smooth porosity models.