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Title:
HydroImage-A User Friendly Hydrogeophysical Characterization Software Package
Authors:
Mok, C. W.; Chen, J.; Hubbard, S.; Kaback, D.; Lebish, C.
Affiliation:
AA(Geomatrix Consultants, Inc., 2101 Webster Street 12th Floor, Oakland, CA 94612 United States ; ), AB(Lawrence Berkeley National Laboratory, Earth Science Division 1 Cyclotron Road MS 90-1116, Berkeley, CA 94720 United States ; ), AC(Lawrence Berkeley National Laboratory, Earth Science Division 1 Cyclotron Road MS 90-1116, Berkeley, CA 94720 United States ; ), AD(Geomatrix Consultants, Inc., 2101 Webster Street 12th Floor, Oakland, CA 94612 United States ; ), AE(Geomatrix Consultants, Inc., 2101 Webster Street 12th Floor, Oakland, CA 94612 United States ; )
Publication:
American Geophysical Union, Fall Meeting 2006, abstract #NS41B-1143
Publication Date:
12/2006
Origin:
AGU
AGU Keywords:
0910 Data processing, 0915 Downhole methods, 0999 General or miscellaneous
Abstract Copyright:
(c) 2006: American Geophysical Union
Bibliographic Code:
2006AGUFMNS41B1143M

Abstract

HydroImage is a user-friendly software package that integrated spatially extensive geophysical data, either high-resolution crosshole tomographic data or surface geophysical data, and borehole hydrogeological measurements, e.g., core data or conepenetration test (CPT) data to improve characterization and monitoring of the subsurface over a variety of resolutions and spatial scales. The ultimate product of HydroImage is estimates of hydrogeological parameters in 2 or 3-dimensional space. The software package is built as subsystem modules, so that additional capabilities can be added to the package as they are developed or refined. HydroImage links 1) a graphical user interface; 2) a geostatistical integration toolbox; 3) a geophysical inversion toolbox, including quality control steps; 4) a petrophysical and scale-matching toolbox; and 5) a Bayesian integration subsystem into a single package that will allow an investigator to efficiently and cost- effectively perform data analysis and make coherent interpretations. Because direct borehole measurements are typically limited in number and represent only single points within a large contaminated volume of the subsurface, estimation of hydrogeological parameters over large volumes using geophysical data represents a significant advance in characterization of contaminated sites and design of effective remediation systems.
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