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New Ways of Using Well Construction Reports for Hydrostratigraphic Analyses
Kallina M Dunkle1, Mary P Anderson2, David Hart3,4
1Department of Geoscience, University of Wisconsin-Madison, 1215 W. Dayton St., Madison, WI 53706.
Ground Water
|March 4, 2015
Summary
Well Construction Reports (WCRs) provide valuable subsurface data for hydrostratigraphic models. Analyzing these reports enables detailed environmental insights and 3D groundwater modeling.
Area of Science:
- Geology
- Hydrogeology
- Environmental Science
Background:
- Hydrostratigraphic models are essential for understanding groundwater systems.
- Subsurface data is crucial for developing accurate hydrostratigraphic models.
- Well Construction Reports (WCRs) represent a significant, often underutilized, source of subsurface data.
Purpose of the Study:
- To demonstrate novel applications of Well Construction Reports (WCRs) for hydrogeological investigations.
- To showcase how WCR data can enhance the creation of subsurface and hydrostratigraphic models.
- To illustrate the utility of WCRs in diverse geological settings.
Main Methods:
- Review and processing of approximately 2000 Well Construction Reports (WCRs) from Wisconsin.
- Utilizing WCR data to infer depositional environments.
- Integrating WCR information for site selection for geophysical surveys.
- Developing three-dimensional hydrostratigraphic models for groundwater flow simulations.
Main Results:
- WCRs, despite variable quality, offer substantial subsurface geological information.
- Analysis of WCRs facilitated the identification of depositional environments.
- WCR data aided in strategic placement of surface geophysical measurements.
- Successful creation of 3D hydrostratigraphic models for groundwater modeling was achieved.
Conclusions:
- Well Construction Reports (WCRs) are a powerful, cost-effective data source for hydrogeological studies.
- Systematic processing of WCRs can significantly improve the accuracy and detail of hydrostratigraphic models.
- The methodologies presented offer a scalable approach for leveraging WCR data in groundwater resource management.
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