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The purpose of this project was to conduct basic research leading to significant improvements in the state-of-the-art of geophysical imaging of the shallow subsurface. Geophysical techniques are commonly used for underground imaging for site characterization and restoration monitoring. in order to improve subsurface imaging, the objective was to develop improved methods for interpreting geophysical data collected in the field, by developing better methods for relating measured geophysical properties, such as seismic velocity and electrical conductivity, to hydrogeology parameters of interest such as porosity, saturation, and soil composition. They met the objectives using an approach that combined laboratory experiments, comparison to available field data, rock physics theories, and modeling, to find relationships between geophysical measurements, hydrogeological parameters and soil composition. The primary accomplishments of this project in the last year (FY99) were that they completed the laboratory measurements of ultrasonic velocities in soils at low pressures and the measurements of complex electrical conductivity in those same soils; they used x-ray computed microtomography to image the microstructure of several soil samples; they used rock physics theories and modeling to relate the geophysical measurements to the microstructure and hydrological properties; they developed a theoretical technique for relating compressional and shear wave velocities to fluid distribution in porous media; they showed how electrical conductivity is related to clay content and microstructure; they developed an inversion algorithm for inferring soil composition given compressional and shear wave velocities and tested the algorithm on synthetic field seismic data; they completed two patent applications; they wrote three journal papers; and they made 15 presentations of their results at eight scientific meetings

Final Report U.S. Department of Energy Joint Inversion of Geophysical Data for Site Characterization and Restoration Monitoring