One focus of my research has been seismic sedimentology and its application in seismic stratigraphy, high-frequency sequence stratigraphy, and reservoir prediction. I study seismic frequency controls on clastic and carbonate seismic stratigraphy and the ways a good-quality seismic pick of geologic-time surfaces can improve depositional systems imaging. I invented the stratal slicing technique and am pushing for transfer of this technology to industry. As part of my research, I am experimenting with seismic data optimization and attribute analysis for better, geologically meaningful representation of seismic geomorphology. I investigate how morphologic patterns on stratal slices relate to various depositional systems and how depositional history can be rebuilt by sequential analysis of stratal slices.

Recent research topics include using stratal slicing as a tool for high-frequency sequence stratigraphy, and applying Neural Net to automate geomorphology-based seismic facies analysis. Another theme of my research involves seismic characterization of thin-bedded reservoirs. I do seismic modeling of outcrop and subsurface data to study optimal forms of seismic data (frequency, wavelet phase, attribute, etc.) for thin-bed interpretation. I pursue data integration of well-based and seismic-based interpretations to avoid pitfalls and to minimize prediction error. Working with reservoir geologists and engineers, I promote using seismic data as a hard constraint to reservoir and simulation models. Present studies are focused on the interpretive advantages of 90° wavelets, and full-spectrum, progressive inversion of well and seismic data.