Relevant bibliographies by topics / Geophysics; Electrical resistivity tomography

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Geophysics; Electrical resistivity tomography'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Geophysics; Electrical resistivity tomography"

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Pidlisecky, Adam, Rosemary Knight, and Eldad Haber. "Cone-based electrical resistivity tomography." GEOPHYSICS 71, no. 4 (July 2006): G157—G167. http://dx.doi.org/10.1190/1.2213205.

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Determining the 3D spatial distribution of subsurface properties is a challenging, but critical, part of managing the cleanup of contaminated sites. We have developed a minimally invasive technology that can provide information about the 3D distribution of electrical conductivity. The technique, cone-based electrical resistivity tomography (C-bert), integrates resistivity tomography with cone-penetration testing. Permanent current electrodes are emplaced in the subsurface and used to inject current into the subsurface region of interest. The resultant potential fields are measured using a surface reference electrode and an electrode mounted on a cone penetrometer. The standard suite of cone penetration measurements, including high-resolution resistivity logs, are also obtained and are an integral part of the C-bert method. C-bert data are inverted using an inexact Gauss-Newton algorithm to produce a 3D electrical conductivity map. A majorchallenge with the inversion is the large local perturbation around the measurement location, due to the highly conductive cone. As the cone is small with respect to the total model space, explicit modeling of the cone is cost prohibitive. We have developed a rapid method for solving the forward model which uses iteratively determined boundary conditions (IDBC). This allows us to generate a computationally feasible, preinversion correction for the cone perturbation. We assessed C-bert by performing a field test to image the conductivity structure of the Kidd 2 site near Vancouver, British Columbia. A total of nine permanent current electrodes were emplaced and five C-bert data sets were obtained, resulting in 6516 data points. These data were inverted to obtain a 3D conductivity image of the subsurface. Furthermore, we demonstrated, using a synthetic experiment, that C-bert can yield high quality electrical conductivity images in challenging field situations. We conclude that C-bert is a promising new imaging technique.
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Putiška, René, Maroš Nikolaj, Ivan Dostál, and David Kušnirák. "Determination of cavities using electrical resistivity tomography." Contributions to Geophysics and Geodesy 42, no. 2 (January 1, 2012): 201–11. http://dx.doi.org/10.2478/v10126-012-0018-3.

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Abstract Geophysical surveys for cavity detection are one of the most common nearsurface applications. The usage of resistivity methods is also very straightforward for the air-filled underground voids, which should have theoretically infinite resistivity in the ERT image. In the first part of the paper, we deal with the comparison of detectability of the cavity by several types of the electrode arrays, the second part discusses the effect of a thin layer around the cavity itself, by means of 2D modelling. The presence of this layer deforms the resistivity image significantly as the resistive anomaly could be turned into a conductive one, in the case when the thin layer is more conductive than the background environment. From the electrical array analysis for the model situation a dipole-dipole and combined pole-dipole shows the best results among the other involved electrical arrays.
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Nero, Callistus, Akwasi Acheampong Aning, Sylvester K. Danuor, and Reginald M. Noye. "Delineation of graves using electrical resistivity tomography." Journal of Applied Geophysics 126 (March 2016): 138–47. http://dx.doi.org/10.1016/j.jappgeo.2016.01.012.

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Hörning, S., L. Gross, and A. Bárdossy. "Geostatistical electrical resistivity tomography using random mixing." Journal of Applied Geophysics 176 (May 2020): 104015. http://dx.doi.org/10.1016/j.jappgeo.2020.104015.

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Kneisel, C., A. Bast, and D. Schwindt. "Quasi-3-D resistivity imaging – mapping of heterogeneous frozen ground conditions using electrical resistivity tomography." Cryosphere Discussions 3, no. 3 (October 30, 2009): 895–918. http://dx.doi.org/10.5194/tcd-3-895-2009.

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Abstract. Up to now an efficient 3-D geophysical mapping of the subsurface in mountainous environments with rough terrain has not been possible. A merging approach of several closely spaced 2-D electrical resistivity tomography (ERT) surveys to build up a quasi-3-D model of the electrical resistivity is presented herein as a practical compromise for inferring subsurface characteristics and lithology. The ERT measurements were realised in a small glacier forefield in the Swiss Alps with complex terrain exhibiting a small scale spatial variability of surface substrate. To build up the grid for the quasi-3-D measurements the ERT surveys were arranged as parallel profiles and perpendicular tie lines. The measured 2-D datasets were collated into one quasi-3-D file. A forward modelling approach – based on studies at a permafrost site below timberline – was used to optimize the geophysical survey design for the mapping of the mountain permafrost distribution in the investigated glacier forefield. Quasi-3-D geoelectrical imaging is a useful method for mapping of heterogeneous frozen ground conditions and can be considered as a further milestone in the application of near surface geophysics in mountain permafrost environments.
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Putiška, René, Ivan Dostál, and David Kušnirák. "Determination of dipping contacts using electrical resistivity tomography." Contributions to Geophysics and Geodesy 42, no. 2 (January 1, 2012): 161–80. http://dx.doi.org/10.2478/v10126-012-0007-6.

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Determination of dipping contacts using electrical resistivity tomographyGenerally, all electrode arrays are able to delineate the contact of two lithostratigraphic units especially with very high resistivity contrast. However, the image resolution for the location of vertical and dipping structures is different. The responses of dipole-dipole (DD), Wenner alpha (WA), Schlumberger (SCH) and combined pole-dipole (PD) arrays have been computed using the finite difference method. Comparison of the responses indicates that: (1) The dipole-dipole array usually gives the best resolution and is the most detailed method especially for the detection of vertical structures. This array has shown the best resolution to recognize the geometrical characterisation of the fault. (2) The pole-dipole has shown the second best result in our test. The PD is an effective method for detection of vertical structures with a high depth range, but the deepest parts are deformed. (3) Wenner alpha shows a low resolution, inconvenient for detailed investigation of dip structures. (4) The Schlumberger array gives a good and sharp resolution to assess the contact between two lithological units but gives poor result for imaging geometry of dipping contact.
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Mollica, R., R. de Franco, G. Caielli, G. Boniolo, G. B. Crosta, A. Motti, A. Villa, and R. Castellanza. "Micro electrical resistivity tomography for seismic liquefaction study." Journal of Applied Geophysics 180 (September 2020): 104124. http://dx.doi.org/10.1016/j.jappgeo.2020.104124.

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Daily, William, and Earle Owen. "Cross‐borehole resistivity tomography." GEOPHYSICS 56, no. 8 (August 1991): 1228–35. http://dx.doi.org/10.1190/1.1443142.

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Electrical resistivity tomography (ERT) is a method for determining the electrical resistivity distribution in a volume from discrete measurements of current and voltage made within the volume or on its surface. We have developed an ERT algorithm that is an iterative, modified least squares inversion, based on a finite element forward solution of Laplace’s equation. We report the results of tests on this algorithm designed to determine how resistance measurements made from two boreholes may be used to image the resistivity distribution between them. A number of simple but geophysically significant structures are modeled. These include a single isolated block anomaly, two layers, a thin isolated continuous layer, and a vertical band. The main features of most resistivity models were identifiable in the reconstructions. Limited data accuracy and noise were simulated and found to cause a deterioration of the image. However, even with measurements of only one significant figure accuracy, the algorithm converged toward the desired solution for at least the first iteration and the targets were identifiable in the reconstructions. Imprecision in the data influences convergence as well as image quality; more iterations eventually lead to divergence. Spatial resolution depends on such factors as data errors and the specific target geometry.
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Sudha, Kumari, M. Israil, S. Mittal, and J. Rai. "Soil characterization using electrical resistivity tomography and geotechnical investigations." Journal of Applied Geophysics 67, no. 1 (January 2009): 74–79. http://dx.doi.org/10.1016/j.jappgeo.2008.09.012.

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Lochbühler, Tobias, Stephen J. Breen, Russell L. Detwiler, Jasper A. Vrugt, and Niklas Linde. "Probabilistic electrical resistivity tomography of a CO2 sequestration analog." Journal of Applied Geophysics 107 (August 2014): 80–92. http://dx.doi.org/10.1016/j.jappgeo.2014.05.013.

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Dissertations / Theses on the topic "Geophysics; Electrical resistivity tomography"

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Liu, Shuyun. "A sequential inverse approach for hydraulic tomography and electrical resistivity tomography: An effective method for site characterization." Diss., The University of Arizona, 2001. http://hdl.handle.net/10150/279846.

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Hydraulic tomography (i.e., a sequential aquifer test) has recently been proposed as a method for characterizing aquifer heterogeneity. In this study a sequential inverse approach is developed to interpret results of hydraulic tomography. The approach uses an iterative geostatistical inverse method to yield the effective hydraulic conductivity of an aquifer, conditioned on each set of head/discharge data. To efficiently include all the head/discharge data sets, a sequential conditioning method is employed. Two-dimensional numerical experiments were conducted to investigate the optimal sampling scheme for the hydraulic tomography. The effects of measurement errors and uncertainties in statistical parameters required by the inverse model were also investigated. The robustness of this inverse approach was demonstrated through its application to a hypothetical, three-dimensional, heterogeneous aquifer. Two sandbox experiments were conducted to evaluate the performance of the sequential geostatistical inverse approach under realistic conditions. One sandbox was packed with layered sands to represent a stratified aquifer while the other with discontinuous sand bodies of different shapes and sizes to represent a more complex and realistic heterogeneous aquifer. The tomography was found ineffective if abundant head measurements were collected at closely spaced intervals in a highly stratified aquifer. While it was found beneficial when head measurements were limited and the geological structure was discontinuous. The sequential inverse approach for hydraulic tomography was extended for electrical resistivity tomography. Numerical experiments were conducted to demonstrate the robustness of this approach for delineating the resistivity distribution in the subsurface and to investigate effectiveness of different sampling arrays of the ERT: the surface, the down-hole, and the combination of the surface and down-hole array. Orientation of bedding was found to dictate the effectiveness of the ERT layout. Samples were collected to quantify spatial variability of the resistivity-moisture relationship in the field. Numerical experiments then illustrated how the spatially varying relationship exacerbated the level of uncertainty in the interpretation of change of moisture content based on the estimated change in resistivity. A sequential inverse approach was then developed to estimate water content with less uncertainty by considering the spatial variability of the resistivity-moisture relationship and incorporating point moisture measurements and ERT data sets.
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Schlosser, Kenneth. "MONITORING INFILTRATION FROM NATURAL STORMS USING TIME-LAPSE ELECTRICAL RESISTIVITY TOMOGRAPHY." Master's thesis, Temple University Libraries, 2017. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/466404.

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Geology
M.S.
Time-lapse electrical resistivity tomography (TL-ERT) enables an accurate characterization of the heterogeneity of flow through the unsaturated zone especially when compared to point measurements taken within the same survey area. The most powerful tool for understanding the unsaturated zone is a combination of several techniques. Many models of unsaturated zone flow assume a uniform wetting front even though the existence of preferential flow paths is well-documented in the literature. TL-ERT surveys were collected perpendicular to a stream at the Stroud Water Research Center in Chester County, PA to provide continuous measurement of unsaturated flow during two natural infiltration events. Dielectric sensors were installed along this transect to collect soil moisture data during these events. Additionally, slug tests and infiltrometer tests were collected along the transect to characterize the subsurface at the study site. TL-ERT successfully located sections with preferential flow, and these results were reproducible three months later. Other methods of measuring soil moisture content or infiltration rates were less successful at identifying preferential flow. The rates determined from point measurements often did not match where the TL-ERT identified zones of preferential flow. This comparison reveals that slow-infiltration points can exist within preferential pathways and exemplifies the importance of large-scale measurements in the unsaturated zone. Any scientific study looking at infiltration should consider utilizing TL-ERT to map where preferential flow may be occurring.
Temple University--Theses
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Slater, Lee David. "An investigation of the ability of cross-borehole electrical imaging to assist in the characterisation of hydrogeological properties at the field scale." Thesis, Lancaster University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360648.

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Oldenborger, Greg Arthur. "Advances in electrical resistivity tomography : modeling, electrode position errors, time-lapse monitoring of an injection/withdrawal experiment, and solution appraisal /." ProQuest subscription required:, 2006. http://proquest.umi.com/pqdweb?did=1179956331&sid=1&Fmt=2&clientId=8813&RQT=309&VName=PQD.

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Thesis (Ph. D.)--Boise State University, 2006.
Includes abstract and vita. Includes bibliographical references (leaves 319-331). Also available online via the ProQuest Digital Dissertations database.
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Carsillo, Vincent John. "MONITORING STORMWATER INFILTRATION IN A VACANT LOT COMPARING TIME-LAPSE ELECTROMAGNETIC INDUCTION AND ELECTRICAL RESISTIVITY TOMOGRAPHY." Master's thesis, Temple University Libraries, 2018. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/518905.

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Geology
M.S.
Vacant lots in cities and surrounding urban areas can potentially be used for stormwater management because they are pervious. However, the extent to which vacant lots provide pervious cover to increase infiltration and reduce stormflow is poorly understood. The goal of this study was to develop faster methods for monitoring stormwater infiltration to improve characterization of heterogeneous urban systems. Geophysical techniques are capable of mapping and characterizing subsurface materials, but are often limited by time and sensitivity constraints. In this study, the infiltration characteristics of a vacant lot created by the demolition of a house was characterized using a series of modeling, field and lab experiments. Site characterization under background conditions with an EM Profiler was used to map zones of different fill materials. Three zones were identified in the study site: grass area, driveway area, and a former house area. Transient soil moisture conditions were monitored during irrigation tests using two geophysical methods (electrical resistivity tomography [ERT] and electromagnetic induction [EM]) to evaluate method sensitivity and differences between the three zones. ERT proved more sensitive than EM profiling at detecting changes in the three zones. Soil moisture changes in the driveway area were particularly difficult to detect using EM. The EM Profiler showed a reduction rather than increase in conductivity at the start of irrigation and storms, which was attributed to flushing of high conductivity pore fluids by dilute irrigation or rain water. This explanation was supported using Archie’s Law to model the response of apparent conductivity under highly conductive pore fluid conditions. The EM Profiler was also used under natural precipitation conditions to quickly monitor areas too large for the ERT to reasonably survey. The results suggested that EM instrument drift needs to be corrected to make the method more sensitive. It was difficult to detect differences in hydrologic characterization between areas of the vacant lot using traditional soil point measurements because of the inherent spatial variability. The most useful point measurement was soil moisture loggers. Data from soil moisture loggers was used to parameterize the model; in addition, the soil moisture loggers showed a slow drying period. By combining the EM Profiler method with soil moisture data and applying corrections for drift, some improvement in sensitivity might be achieved. Quantitative characterization of fill material was shown by ERT, which detected more heterogeneous infiltration in the area of the former house than in the grass area.
Temple University--Theses
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Frommel, Jamin C. "INTEGRATED GEOPHYSICAL INVESTIGATION OF KARST FEATURES – INNER BLUEGRASS REGION OF KENTUCKY." UKnowledge, 2012. http://uknowledge.uky.edu/ees_etds/5.

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High-resolution electrical-resistivity, seismic-refraction, and seismic-reflection surveys were performed at three locations in the Inner Bluegrass Region of Kentucky along coincident survey lines in order to correlate results and determine which method is most effective at locating karst features in this area. The first two survey locations at Slack’s Cave and the Kentucky Horse Park were chosen in order to investigate known karst features. High and low electrical-resistivity anomalies were correlated to air- and water-filled karst voids, respectively. Seismic velocity anomalies, including parabolic time suppressions, amplitude terminations, and surface-wave backscatters, were also observed and correlated to these karst voids. These findings were applied to a third location along Berea Road in order to investigate undiscovered karst voids. Three seismic targets were selected based on backscatter anomaly locations and were aligned in a northwest trend following the general bedrock dip, joint orientations, and suspected conduit orientation. Overall, the seismic-reflection method provided the highest resolution and least ambiguous results; however, integration of multiple methods was determined to help decrease ambiguities in interpretation created by the inherent non-uniqueness found in the results of each method.
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Crawford, Matthew M. "HYDROLOGIC MONITORING AND 2-D ELECTRICAL RESISTIVITY IMAGING FOR JOINT GEOPHYSICAL AND GEOTECHNICAL CHARACTERIZATION OF SHALLOW COLLUVIAL LANDSLIDES." UKnowledge, 2018. https://uknowledge.uky.edu/ees_etds/61.

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Landslide characterization and hazard assessments require multidisciplinary approaches that connect geologic processes with geotechnical parameters. Field monitoring of hydrologic variables such as water content and water potential, coupled with geoelectrical measurements that can establish relationships used for geotechnical and landslide hazard investigations is deficient. This study brings together different techniques to develop a methodology that connects geoelectrical measurements and shear strength. A field-based framework was established that includes (1) analysis of long-term soil moisture fluctuations within different landslides (2) establishment of constitutive and new equations that test the use of electrical conductivity to predict soil-water relationships and shear strength (3) using electrical resistivity tomography (ERT) to support and facilitate the prediction of shear strength in a slope. Hydrologic conditions including volumetric water content, water potential, and electrical conductivity in the soil were measured at three active landslides in Kentucky. The in-situ electrical conductivity used within the framework is valid as a predictor of suction stress and shear strength. The ERT supports interpretations of landslide failure zones, landslide type, lithologic boundaries, and changes in moisture conditions, but also is able to utilize the methodology to calculate shear strength, and provide a spatial view of shear strength in the slope. The practical application of this framework is to support landslide hazard assessment and further understand the long-term influence of moisture conditions in hillslope soils. These parameters are pertinent to investigating the stability of landslides that are often triggered or reactivated by rainfall.
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Rugh, David F. "Evaluating Preferential Recharge in Blue Ridge Aquifer Systems Using Saline Tracers." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/35929.

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Multiple saline tracers were used to explore the role of geologic structure on groundwater recharge at the Fractured Rock Research Site in Floyd County, Virginia. Tracer migration was monitored through soil, saprolite, and fractured crystalline bedrock for a period of 3 months with chemical, physical, and geophysical techniques. Potassium chloride (KCl) and potassium bromide (KBr) tracers were applied at specific locations on the ground surface to directly test flow pathways in a shallow saprolite and deep fractured rock aquifer. Previous work at the Fractured Rock Research Site have identified an ancient thrust fault complex that is present in the otherwise competent metamorphic bedrock; fracturing along this fault plane has resulted in a highly transmissive aquifer that receives recharge along the vertically oriented portion of the fault zone. A shallow aquifer has been located above the thrust fault aquifer in a heterogeneous saprolite layer that rapidly transmits precipitation to a downgradient spring. Tracer monitoring was accomplished with differential electrical resistivity, chemical sampling, and physical monitoring of water levels and spring discharge. Tracer concentrations were monitored quantitatively with ion chromatography and qualitatively with differential resistivity surveys. KCl, applied at a concentration of 10,000 mg/L, traveled 160 meters downgradient through the thrust fault aquifer to a spring outlet in 24 days. KBr, applied at a concentration of 5,000 mg/L, traveled 90m downgradient through the saprolite aquifer in 19 days. KCl and KBr were present at the sampled springheads for 30 days and 33 days, respectively. Tracer breakthrough curves indicate diffuse flow through the saprolite aquifer and fracture flow through the crystalline thrust fault aquifer. Heterogeneities in the saprolite aquifer had a large effect on tracer transport, with breakthrough peaks varying several days over vertical distances of several meters. Monitoring saline tracer migration through soil, saprolite, and fractured rock provided data on groundwater recharge that would not have been available using other traditional hydrologic methods. Travel times and flowpaths observed during this study support preferential groundwater recharge controlled by geologic structure. Geologic structure, which is not currently considered an important factor in current models of Blue Ridge hydrogeology, should be evaluated on a local or regional scale for any water resources investigation, wellhead protection plan, or groundwater remediation project.
Master of Science
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Bodine, Tyler S. "Reservoir Study and Facies Analysis of the Big Clifty Sandstone in South Central Kentucky." TopSCHOLAR®, 2016. http://digitalcommons.wku.edu/theses/1610.

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The Big Clifty (Jackson) Sandstone Member of the Golconda Formation is the most important of the Mississippian (Chesterian) heavy-oil reservoirs in the southeastern Illinois Basin. Heavy oil reservoirs, or asphalt rock deposits, have been studied extensively in south central and western Kentucky, and ~2 billion barrels of original oil in place (OOIP) have been proposed to occur in the Big Clifty Sandstone. Despite high OOIP estimates, heterogeneities in the reservoir negatively impact the production of heavy oil deposits. Heterogeneities related to depositional facies changes are poorly understood in the Big Clifty Sandstone of Kentucky, where it has been mostly described as a 60-120 feet thick sandstone unit. In some locations, the Big Clifty occurs as two distinct sand bodies with intercalated mud-rich units and, most typically, with the greatest clay- and silt-rich units present between sandstone bodies. Questions exist as to how such muddy facies occur in the reservoir. This study couples sedimentary facies analysis with sequence stratigraphy to assess how lithological factors affect the occurrence of petroleum in Big Clifty reservoirs. Multiple datasets were integrated to develop a depositional model for lithologic facies observed in this study. Datasets include core, exposure descriptions, petrographic analysis, bitumen concentrations, electrical resistivity tomography (ERT), and borehole geophysical analysis. This study occurred in Logan, Warren, and Butler counties, with emphasis on an active asphalt-rock mine in Logan County. Surface geophysical methods aided in demarcating Chesterian limestones, sandstone bodies and, in particular, highly resistive heavy-oil laden Big Clifty channel bodies. In Warren County, located E-NE of the Stampede Mine, the Big Clifty coalesces into a single amalgamated sandstone channel or a series of superimposed stacked channels as observed in outcrop along Indian Creek at McChesney Field Station and at Jackson’s Orchard. In these locations, the tidal influence is subtle with large-scale trough cross bedding dominating, and the contact on the Beech Creek Limestone is sharp. Facies changes related to the environment of deposition greatly impact the quality of heavy-oil reservoirs and must be taken into consideration during exploration and siting of asphalt rock mines.
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Gebregziabher, Gared Berhanu [Verfasser]. "Environmental and engineering geophysical studies for sinkhole problems using seismic reflection, refraction tomography, electrical resistivity imaging, and joint inversions / Berhanu Gebregziabher Gared." Hannover : Technische Informationsbibliothek und Universitätsbibliothek Hannover (TIB), 2011. http://d-nb.info/104185143X/34.

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Books on the topic "Geophysics; Electrical resistivity tomography"

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Strobel, Guye Stephenson. Demonstration of electrical resistivity tomography for waste management area-C closure activities. Chalk River, Ont: Chalk River Laboratories, 1996.

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Graham, C. Douglas R. Electrical resistivity studies in the Inner Bluegrass Karst Region, Kentucky. Lexington: Kentucky Geological Survey, 1999.

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Sheets, Rodney A. Use of electrical resistivity to detect underground mine voids in Ohio. Columbus, Ohio: U.S. Dept. of the Interior, U.S. Geological Survey, 2002.

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Russel, Nazirullah, and Geological Survey of Pakistan, eds. Electromagnetic and electrical resistivity surveys for hardrock aquifer configuration in Quetta Valley (investigation phase), Balochistan. Quetta: Geological Survey of Pakistan, 2007.

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Book chapters on the topic "Geophysics; Electrical resistivity tomography"

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Bery, Andy Anderson, and Rosli Saad. "Enhancement in Electrical Resistivity Tomography Resolution for Environmental and Engineering Geophysical Study." In InCIEC 2014, 459–67. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-290-6_40.

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Loke, Meng H., Jonathan E. Chambers, and Oliver Kuras. "Instrumentation, Electrical Resistivity." In Encyclopedia of Solid Earth Geophysics, 599–604. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-8702-7_191.

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Loke, M. H., O. Kuras, J. E. Chambers, D. F. Rucker, and P. B. Wilkinson. "Instrumentation, Electrical Resistivity." In Encyclopedia of Solid Earth Geophysics, 1–7. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-10475-7_191-1.

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Loke, M. H., O. Kuras, J. E. Chambers, D. F. Rucker, and P. B. Wilkinson. "Instrumentation, Electrical Resistivity." In Encyclopedia of Solid Earth Geophysics, 776–82. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58631-7_191.

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Loke, Meng Heng. "Electrical Resistivity Surveys and Data Interpretation." In Encyclopedia of Solid Earth Geophysics, 276–83. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-8702-7_46.

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Loke, M. H., D. F. Rucker, J. E. Chambers, P. B. Wilkinson, and O. Kuras. "Electrical Resistivity Surveys and Data Interpretation." In Encyclopedia of Solid Earth Geophysics, 1–6. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-10475-7_46-1.

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Loke, M. H., D. F. Rucker, J. E. Chambers, P. B. Wilkinson, and O. Kuras. "Electrical Resistivity Surveys and Data Interpretation." In Encyclopedia of Solid Earth Geophysics, 344–50. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58631-7_46.

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Furman, Alex, Ali Arnon-Zur, and Shmuel Assouline. "Electrical Resistivity Tomography of the Root Zone." In SSSA Special Publications, 223–45. Madison, WI, USA: American Society of Agronomy and Soil Science Society of America, 2015. http://dx.doi.org/10.2136/sssaspecpub61.c11.

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Sagar, Deepak, S. B. Dwivedi, and Parbir K. Basudhar. "Electrical Resistivity Tomography in Geotechnical Engineering Applications." In Lecture Notes in Civil Engineering, 157–67. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6346-5_14.

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Thanh, Nguyen Duc, Gye Chun Cho, Young Jong Sim, and Seok Won Lee. "Evaluation of Grouting Performance Using Electrical Resistivity Tomography." In Advanced Nondestructive Evaluation I, 1407–10. Stafa: Trans Tech Publications Ltd., 2006. http://dx.doi.org/10.4028/0-87849-412-x.1407.

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Conference papers on the topic "Geophysics; Electrical resistivity tomography"

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Torgashov, Evgeniy, Neil Anderson, Ahmed Ismail, and Jeremiah Obi. "Electrical Resistivity Tomography Investigations." In Symposium on the Application of Geophysics to Engineering and Environmental Problems 2012. Environment and Engineering Geophysical Society, 2012. http://dx.doi.org/10.4133/1.4721764.

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Bobachev, A. "Compound Electrodes Arrangement in Electrical Resistivity Tomography." In Engineering and Mining Geophysics 2020. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202051115.

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Olenchenko, V. V., P. S. Osipova, A. S. Kalganov, and A. V. Chekryzhov. "Electrical Resistivity Tomography of The Ore Heap." In Engineering and Mining Geophysics 2021. European Association of Geoscientists & Engineers, 2021. http://dx.doi.org/10.3997/2214-4609.202152019.

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Olenchenko, V. V., and P. S. Osipova. "Electrical Resistivity Tomography of the Frozen Embankment Dam." In Engineering and Mining Geophysics 2020. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202051007.

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Bobachev, A. A. "Electrical Resistivity Tomography in Shallow and Coastal Studies." In Engineering and Mining Geophysics 2021. European Association of Geoscientists & Engineers, 2021. http://dx.doi.org/10.3997/2214-4609.202152158.

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Torgashov, Evgeniy V., Neil L. Anderson, and Oleg Kovin. "Fault Detection Using Electrical Resistivity Tomography." In Symposium on the Application of Geophysics to Engineering and Environmental Problems 2010. Environment and Engineering Geophysical Society, 2010. http://dx.doi.org/10.4133/1.3445527.

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Galetti, E., and A. Curtis. "Transdimensional Monte Carlo Electrical Resistivity Tomography." In Near Surface Geoscience 2016 - 22nd European Meeting of Environmental and Engineering Geophysics. Netherlands: EAGE Publications BV, 2016. http://dx.doi.org/10.3997/2214-4609.201602017.

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V. Torgashov, Evgeniy, Neil L. Anderson, and Oleg Kovin. "Fault Detection Using Electrical Resistivity Tomography." In 23rd EEGS Symposium on the Application of Geophysics to Engineering and Environmental Problems. European Association of Geoscientists & Engineers, 2010. http://dx.doi.org/10.3997/2214-4609-pdb.175.sageep108.

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Putman, Brent. "IMAGING INTERNAL EROSION USING ELECTRICAL RESISTIVITY TOMOGRAPHY." In Symposium on the Application of Geophysics to Engineering and Environmental Problems 2013. Environment and Engineering Geophysical Society, 2013. http://dx.doi.org/10.4133/sageep2013-229.1.

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Gasperikova, Erika, Rohit Salve, Daniella Rempe, and John Peterson. "Investigating Hillslope Hydrology with Electrical Resistivity Tomography." In Symposium on the Application of Geophysics to Engineering and Environmental Problems 2011. Environment and Engineering Geophysical Society, 2011. http://dx.doi.org/10.4133/1.3614078.

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Reports on the topic "Geophysics; Electrical resistivity tomography"

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Douglas, Thomas A., Christopher A. Hiemstra, Stephanie P. Saari, Kevin L. Bjella, Seth W. Campbell, M. Torre Jorgenson, Dana R. N. Brown, and Anna K. Liljedahl. Degrading Permafrost Mapped with Electrical Resistivity Tomography, Airborne Imagery and LiDAR, and Seasonal Thaw Measurements. U.S. Army Engineer Research and Development Center, July 2021. http://dx.doi.org/10.21079/11681/41185.

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Abstract:
Accurate identification of the relationships between permafrost extent and landscape patterns helps develop airborne geophysical or remote sensing tools to map permafrost in remote locations or across large areas. These tools are particularly applicable in discontinuous permafrost where climate warming or disturbances such as human development or fire can lead to rapid permafrost degradation. We linked field-based geophysical, point-scale, and imagery surveying measurements to map permafrost at five fire scars on the Tanana Flats in central Alaska. Ground-based elevation surveys, seasonal thaw-depth profiles, and electrical resistivity tomography (ERT) measurements were combined with airborne imagery and light detection and ranging (LiDAR) to identify relationships between permafrost geomorphology and elapsed time since fire disturbance. ERT was a robust technique for mapping the presence or absence of permafrost because of the marked difference in resistivity values for frozen versus unfrozen material. There was no clear relationship between elapsed time since fire and permafrost extent at our sites. The transition zone boundaries between permafrost soils and unfrozen soils in the collapse-scar bogs at our sites had complex and unpredictable morphologies, suggesting attempts to quantify the presence or absence of permafrost using aerial measurements alone could lead to incomplete results. The results from our study indicated limitations in being able to apply airborne surveying measurements at the landscape scale toward accurately estimating permafrost extent.
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Narbutovskih, S. M. Electrical resistivity tomography at the DOE Hanford site. Office of Scientific and Technical Information (OSTI), April 1996. http://dx.doi.org/10.2172/16938.

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LaBrecque, Douglas J., and Paula L. Adkins. An Ultra-Precise System for Electrical Resistivity Tomography Measurements. Office of Scientific and Technical Information (OSTI), December 2008. http://dx.doi.org/10.2172/948105.

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Narbutovskih, S. M. Electrical resistivity tomography for early vadose leak detection under single shell storage tanks. Office of Scientific and Technical Information (OSTI), April 1996. http://dx.doi.org/10.2172/353388.

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Johnson, Timothy C., Jonathan N. Thomle, Judith L. Robinson, Robert D. Mackley, and Michael J. Truex. Stage B Uranium Sequestration Amendment Delivery Monitoring Using Time-Lapse Electrical Resistivity Tomography. Office of Scientific and Technical Information (OSTI), April 2019. http://dx.doi.org/10.2172/1609063.

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Johnson, Timothy C., and Dawn M. Wellman. Re-Inversion of Surface Electrical Resistivity Tomography Data from the Hanford Site B-Complex. Office of Scientific and Technical Information (OSTI), May 2013. http://dx.doi.org/10.2172/1087277.

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Yang, X., T. A. Buscheck, K. Mansoor, and S. A. Carroll. Likelihood of Brine and CO2 Leak Detection using Magnetotellurics and Electrical Resistivity Tomography Methods. Office of Scientific and Technical Information (OSTI), September 2017. http://dx.doi.org/10.2172/1393348.

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