Automating Shallow Seismic Imaging

Steeples, Don W.

University of Kansas, Lawrence, KS (United States)

关键词: Data Analysis;    Pumping;    Reflection;    Monitoring;    Cones;   

DOI  :  10.2172/833720
RP-ID  :  EMSP-73731--2003
RP-ID  :  FG07-97ER14826
RP-ID  :  833720

美国|英语

来源: UNT Digital Library

【 摘 要 】

Our primary research focus during the current three-year period of funding has been to develop and demonstrate an automated method of conducting two-dimensional (2D) shallow-seismic surveys with the goal of saving time, effort, and money. Recent tests involving the second generation of the hydraulic geophone-planting device dubbed the ''Autojuggie'' have shown 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 is expected to make shallow seismic surveying considerably more efficient and less expensive. Another element of our research plan involved 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. To try to achieve that goal, 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 (see Status and Results of Experiments).