Using 3C-2D seismic data in the Albacora block, Campos Basin, Brazil, we analyzed the potential of multicomponent data for density esti-mation by simultaneously inverting prestack compressional and mode-converted seismic data. Initial forward modeling using the available well logs shows that small changes in density at the reservoir level affect the PS reflectivity more than PP. The inversion engine uses a global optimization algorithm with a nonlinear cost function to simultaneously invert a number of in-put stacks to an Earth model. Inverting solely PP data has shown a lower cor-relation between the estimated density and the measured log in comparison to jointly inverting both PP and PS data. The results also show that adding PS information in the inversion pro-cess improves the density inversion bandwidth and, consequently, inversion resolution.
Crosswell seismic (CS) technology provides a high-resolution image of the subsurface between two nearby wells. Crosswell seismic data can reach frequencies greater than 1000 Hz, which makes the technology applicable to many reservoir-development challenges in hydrocarbon exploration and production studies that require high resolution. Applications of crosswell seismic data range from structural and stratigraphic interpretation to reservoir monitoring and enhanced oil recovery (EOR). When integrated with rock physics, crosswell seismic data can be used in reservoir-characterization studies, which potentially could be used for enhancing the resolution of rock properties derived from 3D surface-seismic data to that of crosswell resolution. In addition, velocity models obtained from crosswell seismic data can be used to better predict event locations in microseismic data processing.
Seismic-derived elastic properties may be used to help evaluate hydrocarbon production capacity in unconventional plays such as tight or shale formations. By combining prestack seismic and well log data, inversion-based volumes of elastic properties may be produced. Moreover, a petrophysical evaluation and rock physics analysis may be carried out, thus leading to a spatial distribution of hydrocarbon production capacity. The result obtained is corroborated with the available well information, confirming our ability to accurately predict hydrocarbon production capacity in unconventional plays.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.