Detection of illegal mine voids using electrical resistivity tomography: The case-study of Raniganj coalfield (India)

Bharti, Abhay Kumar; Pal, Sanjit Kumar; Priyam, Piyush; Pathak, Vipin Kumar; Kumar, Rahul; Ranjan, Sunny Kumar

doi:10.1016/j.enggeo.2016.09.004

Cited by 69 publications

(16 citation statements)

References 51 publications

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“…In general, the resistivity signatures identi ed by the joint inversion of all arrays is mainly the combination of the signatures/features of each array. These consequences are in accordance with the earlier observations that shows the effectiveness of the combined inversion of collective data sets (Vega et al, 2003;Athanasiou et al, 2007;Bharti et al, 2016aBharti et al, , 2016b. It is observed that the joint data (Wenner, Schlumberger, Gradient and Dipole-Dipole) carry supplementary evidence compared to a single array data set (Stummer et al 2004;Athanasiou et al 2007) .…”

Section: Resultssupporting

confidence: 92%

“…They argued that the best result is obtained with minimum RMS error, with quality factor 5% and current threshold of 60mA. Further, Bharti et al (2016b) analyzed ERT data collected for cavity detection using a xed quality factor 5% with variable current thresholds (50mA, 100mA and 150mA). This study reveals that the best result is obtained with a minimum RMS error when the current threshold is 150 mA followed by100mA.…”

Section: Methodsmentioning

confidence: 99%

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Integrated geophysical approach for Coal mine fire in Jharia coalfield, India

Pal

Kumar

Srivastava

2021

Preprint

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Jharia coalfield is one of India's largest and most productive coal fields, home of the oldest-burning coal seam fires in the world. This paper highlights the combined study comprising Surface Temperature measurement, Magnetic, and Electrical Resistivity Tomography (ERT) methods for delineation and mapping of coal fires with their depths, extension and propagation direction. Surface temperature mapping allows straight forward demarcation of coal fire areas. Magnetic data provide a map showing the earlier burned, currently burning and unburned patches based on the contrast between magnetic effects of the subsurface and fluctuations with temperatures exceeding or under the Curie temperature. The pyrolysis of coal is one of the main processes in coal fires, which results in very high conductivity. Thus, electrical resistivity tomography (ERT) is also a promising technique for the characterization of a coal fire-affected area. Most of the features of low and high resistivity associated with active fires and voids have been delimited well in the ERT sections that are generated from combine inversion of all arrays. These are also delineated well by the surface temperature mapping, and Magnetic methods. The field photographs, available coal seam and borehole lithology clearly show the suitability of the combined study for characterization of coal seam fire. A model of the coal fire, char formation and void formation resulting from coal seam fire has been established. Finally, a fire propagation model of the study area has been established based on the combined geophysical data that can be effectively used for mine hazard mitigation.

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Section: Resultssupporting

confidence: 92%

Section: Methodsmentioning

confidence: 99%

Integrated geophysical approach for Coal mine fire in Jharia coalfield, India

Pal

Kumar

Srivastava

2021

Preprint

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“…The resistivity data was collected using Shlumberger protocol (n=2) with inner and outer electrode spacing 5 m and 10 m respectively. The Shlumberger array configuration was employed for data acquisition, because of good compromise for both vertical and horizontal structural resolutions (Bharti et al, 2016;Cardimona, 2002;Samouëlian et al, 2005;Tejero et al, 2017;Zhou & Dahlin, 2003).…”

Section: Methodology 2d Electrical Resistivity Imaging Data Acquisitionmentioning

confidence: 99%

“…Furthermore, 2D ERT is simple, rapid, inexpensive and a viable technique for subsurface geological features identifications (e.g. Beresnev et al, 2002;Bharti et al, 2016;Chambers J. et al, 2013;Chambers J.E. et al, 2006;Dahlin & Zhou, 2004;Longo et al, 2014;Meju, 2002;Mojica et al, 2017;Rucker et al, 2012;Van Schoor, 2002).…”

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confidence: 99%

Recognition of boulder in granite deposit using integrated borehole and 2D electrical resistivity imaging for effective mine planning and development

Junaid¹,

Abdullah²,

Sa'Ari³

et al. 2019

BGSM

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Evaluations of a mineral resource are necessary for mineral rights, owners and investors alike. However, for resource evaluation the detail documentation of subsurface geological spatial distribution such as lateral and vertical extent of bedrock and topsoil, hydrogeological investigation and boulder characterisation is mandatory. Boulder is hard and crystalline compact rock block, which substantial presence in a deposit highly influence the drilling equipment selection. A traditional exploration technique particularly for granite resource evaluation is drilling. But even finite number of drilling sample fails in the accurate delineation of boulders because drilling is limited to small point and rock mass is heterogenous and thus immense portion of the deposit via drilling method remain discern. 2D electrical resistivity imaging (2D ERT) technique of the study area over an area of 3.5 km 2 was accomplished by six resistivity lines using a Schlumberger protocol with inner and outer electrode spacing of 5 m and 10 m respectively. Inverted resistivity images successfully identify the existence of boulders in the area of investigation in the topsoil region; characterized by high resistivity values more than 2400 Ω.m. Whereas, only one core log (BH3) out of three reported presence of boulders. Thus, the research study presented in this paper enables us to conclude that the combined application of borehole and ERT allows us to derive that 2D ERT enhances the resource evaluation efficiency and reduces the cost considerably for underlying subsurface geological characterization.

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“…The method is suitable for estimating depth of the bedrock and identifying the presence of structural features in the bedrock or potentially hazardous sub-surface conditions before the engineering structure is put in place [10]. The electrical resistivity method had found landmark success in solving a wide variety of engineering and environmental problems [11][12][13][14][15][16][17][18][19]. Application of 2D electrical resistivity tomography (ERT) in geo-technical investigations of the foundation at Ogudu Lagos, Nigeria [20], showed that the depth to the competent layer that could support a sizeable engineering structure is confined to the second half of the surveyed northeast area at a deeper depth mapped by ERT.…”

Section: Introductionmentioning

confidence: 99%

Site Characterization for Construction Purposes at FUNAAB using Geophysical and Geotechnical Methods

Alabi

Adewale²,

Coker

et al. 2018

Materials and Geoenvironment

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Geophysical and geotechnical techniques were used to investigate the sub-surface information of a proposed site for a hostel construction at Federal University of Agriculture, Abeokuta. Ten vertical electrical sounding (VES) stations were adopted. Typical sounding curves obtained include the HA, KH, AKH and KQH types, of which the AKH-type consists of 40% of the survey points, and a maximum of five geo-electric sub-surface layers were delineated. Laboratory analyses were performed to investigate particle size distribution, Atterberg limit, compaction limit, California bearing ratio (CBR) and specific gravity. The CBR revealed that all soil samples, except L4, are mechanically stable and have high load-bearing capacity. The Atterberg limit test and the geo-electric section showed that the second layer of VES 4 is composed of sandy clay with high plastic index and low liquid limit, which may pose a threat to the foundation of any engineering structure. VES locations 5, 6 and 8 were identified as high groundwater potential zones suitable for optimum groundwater abstraction. The study area is suitable for both shallow and deep foundations, however VES 4 and VES 5 require reinforcement.

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Detection of illegal mine voids using electrical resistivity tomography: The case-study of Raniganj coalfield (India)

Cited by 69 publications

References 51 publications

Integrated geophysical approach for Coal mine fire in Jharia coalfield, India

Integrated geophysical approach for Coal mine fire in Jharia coalfield, India

Recognition of boulder in granite deposit using integrated borehole and 2D electrical resistivity imaging for effective mine planning and development

Site Characterization for Construction Purposes at FUNAAB using Geophysical and Geotechnical Methods

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