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Title: Measuring well hydraulic connectivity in fractured bedrock using periodic slug tests

Publication Date:
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Office (EE-4G); USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
Grant/Contract Number:
EE0002767; ER64856-1034288-0015367
Resource Type:
Journal Article: Publisher's Accepted Manuscript
Journal Name:
Journal of Hydrology
Additional Journal Information:
Journal Volume: 521; Journal Issue: C; Related Information: CHORUS Timestamp: 2016-09-04 14:59:45; Journal ID: ISSN 0022-1694
Country of Publication:

Citation Formats

Guiltinan, Eric, and Becker, Matthew W. Measuring well hydraulic connectivity in fractured bedrock using periodic slug tests. Netherlands: N. p., 2015. Web. doi:10.1016/j.jhydrol.2014.11.066.
Guiltinan, Eric, & Becker, Matthew W. Measuring well hydraulic connectivity in fractured bedrock using periodic slug tests. Netherlands. doi:10.1016/j.jhydrol.2014.11.066.
Guiltinan, Eric, and Becker, Matthew W. 2015. "Measuring well hydraulic connectivity in fractured bedrock using periodic slug tests". Netherlands. doi:10.1016/j.jhydrol.2014.11.066.
title = {Measuring well hydraulic connectivity in fractured bedrock using periodic slug tests},
author = {Guiltinan, Eric and Becker, Matthew W.},
abstractNote = {},
doi = {10.1016/j.jhydrol.2014.11.066},
journal = {Journal of Hydrology},
number = C,
volume = 521,
place = {Netherlands},
year = 2015,
month = 2

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1016/j.jhydrol.2014.11.066

Citation Metrics:
Cited by: 14works
Citation information provided by
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  • Three-hundred eight slug tests were conducted in a 5 x 5 m area in a coastal, sandy aquifer at the Georgetown site in South Carolina to characterize three-dimensional aquifer heterogeneity. Methods developed by Hvorslev, Bouwer and Rice, and Cooper et al. were employed to estimate hydraulic conductivity values form the slug test data. These three methods produced similar spatial distributions of the hydraulic conductivity but quite different values. Overall, the method of Cooper et al. produces higher conductivity values in high permeability zones but lower values in low permeability areas than the Hvorslev method. Variances of the natural log ofmore » conductivity values derived from Hvorslev`s and Bouwer and Rice`s methods agree with those in the other aquifers under similar depositional environments. However, the variance calculated for the data based on the method of Cooper et al. appears unreasonably large. Despite these differences, histograms of the three sets of conductivity values exhibit bimodal distributions, reflecting stratification of the aquifer. Geostatistical analyses show that correlation lengths and statistical anisotropy of the hydraulic conductivity spatial structure varies with depth.« less
  • Double packer slug tests (DPST) characterize the vertical distribution off horizontal hydraulic conductivity (K{sub r}) in aquifers. In a DPST, pneumatic packers and a riser pipe are used to isolate a portion of the well screen, then the water level is changed, and the recovery response is recorded. The recovery response can be nonoscillatory or oscillatory depending on K{sub r} for the surrounding aquifer material and the water column length. K{sub r} is derived from analysis of the slug test response. DPST were performed at 156 elevations in seven fully and four partially penetrating wells at the Nebraska MSEA Site,more » near Shelton, Nebraska. The DPST apparatus includes three pipes of differing diameter. Springer and Gelhar`s (1991) method was modified to account for loss of momentum due to contractions and enlargements in the pipes. The resulting initial value problem for drawdown y(t), normalized by initial displacement is: y{double_prime} + F(y)y{prime} + H(y)y = {minus}G(y,y{prime})(y{prime}){sup 2} y(0) = {minus}1; y{prime}(0) = 0. The coefficients F, H, and G depend on well geometry and hydraulic conductivity. The equation was solved using 4th order Runge-Kutta method (Press et al. 1989). Algorithm for identification of K{sub r} was based on minimization of squared difference between observed and simulated well response in time. The method was applied to oscillatory and nonoscillatory responses. K{sub r} values are 28--192 m/day (K{sub r}/K{sub Z} = 1) and 36--250+ m/day (K{sub r}/K{sub Z} = 10). The K{sub r} profile obtained using the DPST results matches the profile obtained from grain size analysis. The mean well average K{sub r} for well in the pumping test area is 85 m/day (K{sub r}/K{sub S} = 1) and 125 m/day (K{sub r}/K{sub S} = 10).« less
  • No abstract prepared.
  • Test well USW H-4, located on the eastern edge of Yucca Mountain, Nye County, Nevada, penetrates volcanic tuffs through which water moves primarily along fractures. Data, collected from hydrologic and tracer tests and an acoustic-televiewer log, were used to quantify intrawell-bore flow directions and rates, permeability distribution, fracture porosity, and orientations of the hydraulic-conductivity ellipsoid for the test well. Borehole temperature data collected during a pumping test were used to identify 33 locations at which water was entering the hole. These results correlated well with results from radioactive-tracer surveys and packer tests of isolated intervals. Iodine-131 was used as amore » tracer under nonpumping conditions to study flow within the borehole, and to identify fractures that produced or accepted water. Water within the borehole was moving down from above and up from below toward the interval between 2500 and 3070 feet. Inflow and outflow were detected in the two most permeable zones in the borehole; however, the nondetection of it in the other test intervals may have resulted from monitoring periods that were too short. In the uppermost permeable zone, water moved down from above 2365 feet and exited the borehole between 2365 to 2375 feet; freshwater entered the borehole between 2380 and 2385 feet and moved downward. The probable shape and orientation of the hydraulic-conductivity ellipsoid were calculated from fracture frequency and orientation data. The plane containing the two larger principal axes of the ellipsoid strikes approximately north 23{sup 0} east and is nearly vertical. These two axes are approximately the same magnitude and are five to seven times larger than the smallest axis. Fracture porosity is about 10{sup -4} to 10{sup -3}, as estimated from the cubic law for hydraulic conductivity of fractures. 13 refs., 7 figs., 4 tabs.« less
  • Aquifer test methods available for characterizing hazardous waste sites are sometimes restricted because of problems with disposal of contaminated ground water. Partly for this reason, slug tests have become a popular method for determining hydraulic properties at such sites. Slug interference responses within unconfined aquifers are characterized by an initial wave or hump, which is followed by a flat transitional plateau region and then by a declining, recessional limb segment. The shape and amplitude of the initial wave are primarily controlled by the elastic characteristics (i.e., S) and degree of anisotropy within the aquifer, while transmissivity is the principal parametermore » affecting the transmission (i.e., arrival time) of the slug interference response. Wellbore storage and delayed-yield effects tend to attenuate the test response. The transitional and late-time recessional segments are significantly influenced by the aquifer`s specific yield. In addition, test well/aquifer relationships, e.g., observation well distance, aquifer thickness, and well depth/aquifer penetration, also strongly affect slug interference characteristics. The sensitivity of the propagated response to test well/aquifer relationships indicates that slug interference tests can be designed to maximize the expected response for aquifer property characterization.« less