Automating Shallow Seismic Imaging

Steeples, Don W.

The University of Kansas, Lawrence, KS (United States)

关键词: Data Analysis;    Orientation;    Fluid Flow;    Reflection;    Monitoring;   

DOI  :  10.2172/838730
RP-ID  :  EMSP-60199--2004
RP-ID  :  FG07-97ER14826
RP-ID  :  838730

美国|英语

来源: UNT Digital Library

【 摘 要 】

This report covers a one-year, no-cost extension that was requested and received in 2003; the extension runs through September 14, 2004. The extension has been used to continue data analysis and prepare additional manuscripts for submission to refereed journals. The primary research focus of the original three-year period of funding was to develop and demonstrate an automated method of conducting two-dimensional (2D) shallow-seismic surveys with the goal of saving time, effort, and money. Tests involving the second generation of the hydraulic geophone-planting device dubbed the ''Autojuggie'' showed that large numbers of geophones can be placed quickly and automatically and can acquire high-quality data, although not under all conditions (please see the Status and Results of Experiments sections for details). In some easy-access environments, this device could make shallow seismic surveying considerably more efficient and less expensive. The most recent research analyzed the difference in seismic response of the geophones with variable geophone spike length and geophones attached to various steel media. Experiments investigated the azimuthal dependence of the quality of data relative to the orientation of the rigidly attached geophones. Other experiments designed to test the hypothesis that the data are being amplified in much the same way that an organ pipe amplifies sound have so far proved inconclusive. Another element of our research was monitoring the cone of depression around a pumping well, with the well serving as a proxy location for fluid-flow at a contaminated DOE site. We collected data from a well site at which drawdown equilibrium had been reached and at another site during a pumping test. Data analysis disclosed that although we were successful in imaging the water table using seismic reflection techniques (Johnson, 2003), we were not able to explicitly delineate the cone of depression.