Stewart A. Levin

Rock Physics and Depositional History from Seismic Matching: A model study

F031 Rock Physics and Depositional History from Seismic Matching – A Model Study S.A. Levin* (Halliburton Energy Services) U. Mello (IBM) V. Lopez (IBM) L. Xu (IBM) A.R. Conn (IBM) K. Scheinberg (IBM) & H. Zhang (IBM) SUMMARY In this study we apply advanced numerical optimisation techniques to extend the work of Imhof and Sharma (2005 2006) to integrate geological and geophysical data and infer the sedimentary parameters that produce a match to seismic data. In particular we seek to match not just event timing (phase) but also reflection strength (amplitude). This inverse problem of quantitatively matching present-day measurements of

Assisted seismic matching: Joint inversion of seismic, rock physics, and basin modeling

In this study, we apply advanced numerical optimization techniques to extend the work of Imhof and Sharma (2005, 2006) to integrate geological and geophysical data and infer the sedimentary parameters that produce a match to seismic data. In particular, we seek to match not just event timing (phase) but also reflection strength (amplitude). This inverse problem of quantitatively matching present-day measurements of structure, stratigraphy, petrology and/or fluids is inherently ill-posed and computationally difficult. In our approach we automatically adjust parameters, which control numerical forward models such as numerical basin models, petrophysical models, and seismic acoustic models, to match observed seismic data and observed stratigraphy. Note that the problem we tackle is more complex than traditional seismic inversion, which “just” estimates the velocity and reflectivity model that fits the seismic data. Here we also estimate the geological layer composition, as well as rock physics parameters controlling the relationships defining the bulk rock density and velocity.

SEG-D for the next generation

The SEG Technical Standards Committee is currently revising the SEG-D Field Tape Standard to accommodate the needs of current and anticipated future acquisition systems. This includes not just field acquisition support for arbitrary sample rates, continuous passive recording, multicomponent sources and receivers, and sophisticated field filters, but also things like area/line/crew/client/job information, source and receiver coordinates and their reference system, and capture of processing such as trace edits in the field system.