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Laboratory study of the cross-hole resistivity tomography: The Model Stacking (MOST) Technique

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dc.contributor.author Leontarakis, K en
dc.contributor.author Apostolopoulos, GV en
dc.date.accessioned 2014-03-01T02:09:29Z
dc.date.available 2014-03-01T02:09:29Z
dc.date.issued 2012 en
dc.identifier.issn 09269851 en
dc.identifier.uri http://hdl.handle.net/123456789/29846
dc.subject Crosshole Electrical Resistivity Tomography en
dc.subject Data inversion en
dc.subject Laboratory study en
dc.subject Model improvement technique en
dc.subject Void detection en
dc.subject.other Data inversion en
dc.subject.other Detection ability en
dc.subject.other Electrical resistivity tomography en
dc.subject.other Electrode arrays en
dc.subject.other Half spaces en
dc.subject.other Half-space en
dc.subject.other Interpretation parameter en
dc.subject.other Laboratory studies en
dc.subject.other Laboratory study en
dc.subject.other Model experiments en
dc.subject.other Resistivity models en
dc.subject.other Resistivity tomography en
dc.subject.other Resolution quality en
dc.subject.other Small targets en
dc.subject.other Targets detection en
dc.subject.other Void detection en
dc.subject.other Experiments en
dc.subject.other Poles en
dc.subject.other borehole en
dc.subject.other data inversion en
dc.subject.other electrical resistivity en
dc.subject.other electrode en
dc.subject.other image resolution en
dc.subject.other numerical model en
dc.subject.other sensitivity analysis en
dc.subject.other tunnel en
dc.title Laboratory study of the cross-hole resistivity tomography: The Model Stacking (MOST) Technique en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.jappgeo.2012.01.005 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.jappgeo.2012.01.005 en
heal.publicationDate 2012 en
heal.abstract Model experiments in the laboratory are used to find the optimal measuring and interpretation parameters that affect the quality of the results for the improved application of resistivity tomography between boreholes or between the surface and a tunnel. The experiments have shown that the detection ability of each crosshole electrode array is different and depends on the form of the sensitivity pattern. The bipole-bipole array, with current and potential pairs in different boreholes, has quite low signal and very good resolution of confined bodies in homogeneous half-spaces, but the resolution decreases as the half-space becomes more complex. The bipole-bipole array with the electrodes of each bipole in different boreholes produces a stronger signal, causing the models to be greatly influenced, even by the presence of small targets. However, the resolution quality is poor, mainly in the middle of the area between the boreholes. Pole-bipole array shows good resolution of the targets detection, but it is less accurate when conditions become noisier. The pole-tripole array has the best resolution, even when the environment becomes more complex or noisier, but the produced models have also many artifacts. The combined arrays' data inversion yields the greatest influence of the targets on resistivity models, usually with very good positioning or shape resolution, but with many more intense artifacts, since this method inevitably combines the advantages and disadvantages of each array. A new approach to improve the quality of resistivity models has been developed, based on a stacking technique, through the processing of different arrays' inverted models (""MOST"" technique). The improvement of the MOST models' quality has been measured, comparing each final resistivity model with the corresponding real one, highlighting this way the efficiency of this technique, in contrary to the combined arrays' data inversion. © 2012 Elsevier B.V.. en
heal.journalName Journal of Applied Geophysics en
dc.identifier.doi 10.1016/j.jappgeo.2012.01.005 en
dc.identifier.volume 80 en
dc.identifier.spage 67 en
dc.identifier.epage 82 en


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