Use of Improved Hydrologic Testing and Borehole Geophysical Logging Methods for Aquifer Characterization
Version of Record online: 6 MAR 2007
Groundwater Monitoring & Remediation
Volume 16, Issue 1, pages 67–72, February 1996
How to Cite
Newcomer, D.R., Hall, S.H. and Vermeul, V.R. (1996), Use of Improved Hydrologic Testing and Borehole Geophysical Logging Methods for Aquifer Characterization. Groundwater Monitoring & Remediation, 16: 67–72. doi: 10.1111/j.1745-6592.1996.tb00571.x
- Issue online: 6 MAR 2007
- Version of Record online: 6 MAR 2007
Depth-discrete aquifer in formal ion was obtained using recently developed adaptations and improvements to conventional characterization techniques. These improvements included running neutron porosity and hulk density geophysical logging tools through a cased hole, performing an enhanced point-dilution tracer test for monitoring tracer concentration as a function of Lime and depth, and using pressure derivatives for diagnostic and quantitative analysis of constant rate discharge lest data. Data results from the use of these techniques were used to develop a conceptual model of a heterogeneous aquifer. Depth-discrete aquifer information was required to effectively design field-scale deployment and monitoring of an in situ bioremediation technology.
Geophysical logging and point-dilution tracer test results provided the relative distribution of porosity and horizontal hydraulic conductivity, respectively, with depth and correlated well. Hydraulic pumping tests were conducted to estimate mean values for transmissivity and effective hydraulic conductivity, Tracer lest and geophysical logging results indicated that ground water flow was predominant in the upper approximate 10 feet of the aquifer investigated. These results were used to delineate a more representative interval thickness for estimating effective hydraulic conductivity. Hydraulic conductivity, calculated using this representative interval, was estimated lo be 73 ft/d, approximately three limes higher than that calculated using the full length of the screened test interval.