Geoelectric interpretation of petrophysical and hydrogeological parameters in reclaimed mine tailings areas

Canales, Raul Mollehuara; Kozlovskaya, Elena; Lunkka, Juha-Pekka; Guan, Huade; Banks, Eddie W.; Moisio, K.

doi:10.1016/j.jappgeo.2020.104139

Cited by 6 publications

(8 citation statements)

References 29 publications

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“…For example 112 , obtain a value of 0.90 between saturation and bulk EC in tailings with a cementation exponent and a saturation exponent . Similarly 60 , obtain in mine tailings.…”

Section: Discussionmentioning

confidence: 90%

“…8 ) to allow the comparison of the laboratory experiments (where water EC ranged between 3 and 6 ) with the experimental field cover (where water EC ranged between 2 and 3 for the time period studied). The corrected bulk EC is obtained using (e.g., 60 , 110 ): where is the pore water EC normalized at estimated from the hydrogeological sensor measurements. For all experiments, a reference value of is chosen.…”

Section: Methodsmentioning

confidence: 99%

“…The corrected bulk EC values obtained from the inversion are then compared with VWC measurements at the same location. As discussed by 22 , several petrophysical relationships have been successfully applied for mine tailings to link bulk EC and VWC, such as Archie model, generalized Archie’s Law or Waxman-Smits models (e.g., 45 , 60 , 111 , 112 ). In this study, the three petrophysical models have performed equally to link bulk EC and saturation and the simplest model (Archie’s Law) is then selected, despite the small grain size and the presence of sulfide in the tailings ( ).…”

Section: Methodsmentioning

confidence: 99%

“…Most studies aiming to predict VWC using TL-ERT at the field scale rely on petrophysical relationships connecting bulk EC and VWC, which are generally determined from small-scale disturbed samples in the laboratory (e.g., 59 , 60 ). However, several studies mention that a sample-size laboratory characterization may not be representative of field conditions 61 .…”

Section: Introductionmentioning

confidence: 99%

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A multiscale accuracy assessment of moisture content predictions using time-lapse electrical resistivity tomography in mine tailings

Dimech,

Isabelle,

Sylvain

et al. 2023

Sci Rep

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Accurate and large-scale assessment of volumetric water content (VWC) plays a critical role in mining waste monitoring to mitigate potential geotechnical and environmental risks. In recent years, time-lapse electrical resistivity tomography (TL-ERT) has emerged as a promising monitoring approach that can be used in combination with traditional invasive and point-measurements techniques to estimate VWC in mine tailings. Moreover, the bulk electrical conductivity (EC) imaged using TL-ERT can be converted into VWC in the field using petrophysical relationships calibrated in the laboratory. This study is the first to assess the scale effect on the accuracy of ERT-predicted VWC in tailings. Simultaneous and co-located monitoring of bulk EC and VWC are carried out in tailings at five different scales, in the laboratory and in the field. The hydrogeophysical datasets are used to calibrate a petrophysical model used to predict VWC from TL-ERT data. Overall, the accuracy of ERT-predicted VWC is $$\pm 0.03~\textrm{m}^3/\textrm{m}^3$$ ± 0.03 m 3 / m 3 , and the petrophysical models determined at sample-scale in the laboratory remain valid at larger scales. Notably, the impact of temperature and pore water EC evolution plays a major role in VWC predictions at the field scale (tenfold reduction of accuracy) and, therefore, must be properly taken into account during the TL-ERT data processing using complementary hydrogeological sensors. Based on these results, we suggest that future studies using TL-ERT to predict VWC in mine tailings could use sample-scale laboratory apparatus similar to the electrical resistivity Tempe cell presented here to calibrate petrophysical models and carefully upscale them to field applications.

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“…For example 112 , obtain a value of 0.90 between saturation and bulk EC in tailings with a cementation exponent and a saturation exponent . Similarly 60 , obtain in mine tailings.…”

Section: Discussionmentioning

confidence: 90%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A multiscale accuracy assessment of moisture content predictions using time-lapse electrical resistivity tomography in mine tailings

Dimech,

Isabelle,

Sylvain

et al. 2023

Sci Rep

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show abstract

“…After grouting transformation of coal seam floor rock, limestone fracture is basically filled with slurry, and the apparent resistivity of limestone layer will increase. Therefore, after grouting transformation, the deep coal seam floor can be tested in situ using the mine electricity method, and the effect of grouting transformation can be judged according to the apparent resistivity of coal seam floor rock [20].…”

Section: Evaluation Of Mine Electrical Methodmentioning

confidence: 99%

Evaluation Method of Water Hazard Control Effect of Coal Seam Floor in Deep Mining: Sequence Verification Evaluation

Wang

Chen

et al. 2022

Geofluids

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Deep, highly pressurized aquifers seriously threaten the exploitation of resources of North China coalfield. At present, there is no particular guidance system to evaluate the prevention and control effect of water inrush disaster in deep coal seam mining. Therefore, this research focuses on the evaluation of the method for confined water disaster prevention and control effect of deep coal seam mining. Based upon various methods, such as effective thickness and water resistance capacity of aquifuge, water inrush coefficient, GIS (Geographic Information System) analysis of grouting data, dense drilling verification, and professional analysis system based on integrated sequence evaluation, the evaluation of the method for confined water disaster prevention and control effect of deep coal seam mining was put forward for the first time. The proposed method was called the “sequence verification evaluation (SVE)” method. The prevention and control of the effects of Ordovician water inrush disaster in deep mining of Huanghebei coalfield was evaluated using the proposed SVE method. The results show that the SVE method can effectively reflect the prevention and control of the effects of water inrush from confined water and provide scientific basis for the safe production of deep coal seam mining.

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Non-invasive geophysical imaging and facies analysis in mining tailings

Canales

Kozlovskaya

Lunkka

et al. 2021

Journal of Applied Geophysics

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Geoelectric interpretation of petrophysical and hydrogeological parameters in reclaimed mine tailings areas

Cited by 6 publications

References 29 publications

A multiscale accuracy assessment of moisture content predictions using time-lapse electrical resistivity tomography in mine tailings

A multiscale accuracy assessment of moisture content predictions using time-lapse electrical resistivity tomography in mine tailings

Evaluation Method of Water Hazard Control Effect of Coal Seam Floor in Deep Mining: Sequence Verification Evaluation

Non-invasive geophysical imaging and facies analysis in mining tailings

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