Abstract
A Global Integration Platform for Optimizing Cooperative Modeling and Simultaneous Joint Inversion of Multi-domain Geophysical Data
Highlights
Integration of multidisciplinary data represents a fundamental task in geophysics
This paper reviews the theoretical aspects and the practical issues of different types of geophysical integration approaches. It shows how these approaches can be combined and optimized into the same platform. We discuss both cooperative modeling and Simultaneous Joint Inversion (SJI) as complementary methods for integration of multi-domain geophysical data: these data can be collected at surface as well as in borehole
In order to face efficiently all these problems we propose and describe here a “systemic approach”: the algorithms of modeling and SJI are merged with an integration architecture that permits the selection of workflows and links between different algorithms, the management of data and models coming from different domains, the smart visualization of partial and final results
Summary
Integration of multidisciplinary data represents a fundamental task in geophysics. Nowadays, modern computing technology allows several approaches for combining different types of data, including seismic, electromagnetic, gravity, magnetic and borehole data. The final objective is to combine complementary geophysical methods in a single inversion scheme, honoring the total information simultaneously. This can be achieved by minimizing a „joint cost function‟ including two or more misfit terms, plus one or more regularization terms and, eventually, some type of constraint. Our rationale is that SJI works in the best way if it is run on a starting model that is progressively updated going through complementary integration approaches. These can include single domain inversion, constrained inversion, cooperative modeling and inversion, all of them supervised by a multidisciplinary team. We explain how and why our forward and inverse algorithms work better if they are included in a more
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