Focused Elastic Full Waveform Inversion (FWI) is a proprietary technology designed to enhance reservoir characterization by targeting the intensity of seismic waves. This innovative approach leverages all seismic phases—including reflections, conversions, multiples, and surface waves—to achieve greater precision than conventional seismic inversion methods.
FWI is a computationally intensive process, but our advanced algorithms optimize efficiency by focusing seismic energy on the target area, ensuring high-precision estimation of elastic parameters. The method enables the joint estimation of medium mass density and elastic parameters, delivering spatial resolution aligned with seismic signal characteristics for accurate reservoir characterization.
This technology is the proprietary development of Info Geosciences LLC and has been patented with the United States Patent and Trademark Office (USPTO).
This methodology quantitatively integrates multiple datasets—including seismic data, well-log information, electromagnetic soundings, and gravity data—into a single, unified inversion process. The result is a coherent, multi-scale reservoir model. The method ensures consistency with well-interpreted facies by using a geostatistical model specifically calibrated for the study area, producing both the static facies model and the permeability model required for accurate fluid-flow simulations.
Although 3D reflection seismic data provide the primary constraints, the approach also accommodates gravity and Controlled-Source Electromagnetic (CSEM) data, which can be crucial in specific contexts. All datasets are efficiently combined through our proprietary knowledge-network technology, which includes advanced calibration and integration linkages. This streamlined process significantly reduces the time required to build comprehensive reservoir models.
This ongoing project focuses on the total quantitative integration of available data to formulate a multi-scale, multi-property model under dynamic production conditions. The methodology combines fluid flow modeling with time-lapse data inversion to characterize reservoir evolution during production and evaluate development plans.
The approach involves developing advanced modeling and inversion components, along with intelligent calibration and integration linkages. It enables the joint inversion of time-lapse seismic data and production history, facilitating updates to the permeability model and dynamic reservoir parameters for improved predictive accuracy.