Delineation of structural features over a part of the Bay of Bengal using total and balanced horizontal derivative techniques

Narayan, Satya; Sahoo, Soumyashree Debasis; Pal, Sanjit Kumar; Kumar, Upendra; Pathak, Vipin Kumar; Majumdar, T. J.; Chouhan, Avinash Kumar

doi:10.1080/10106049.2016.1140823

Cited by 49 publications

(10 citation statements)

References 43 publications

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“…The TDR crosses through zero at or near the edge of a vertical source and is negative outside the source region. Also, [30][31][32][33] have proved that the half-distance between ±π/4 contours gives an approximation of the source depth for vertical contacts. The distance between zero and +π/4 or −π/4 contour obtained from the TDR represent the depth to the top of the vertical contact.…”

Section: Tilt Derivativementioning

confidence: 96%

Application of Aeromagnetic Data to Assess the Structures and Solid Mineral Potentials in Part of North Central Nigeria

Tawey¹,

Alhassan

Adetona

et al. 2020

JGEESI

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Assessment of the structures and solid minerals was carryout to investigate subsurface structural characteristics and mineralization potential zones within part of north-central Nigeria. The residual magnetic intensity data of the area was reduced to magnetic pole after which several source edge detection/interpretation with depth determination techniques including, analytic signal; tilt derivative; first and second vertical derivatives and Euler deconvolution were applied to the aeromagnetic data. From the analytic signal map, three magnetic zones were delineated. These are: low to relatively low magnetic zone (LM) with amplitude range from 0.003 to 0.009, moderate magnetic zone (MM) with amplitude 0.009 to 0.106 and those with amplitudes above 0.106 were products of later magmatic intrusions into host with fractures, faults and joints. Tilt derivative helped in delineating location and extent of edges of causative sources while Euler deconvolution helps in determination of boundary, depth and geometry of the structures. From first vertical derivative map, structures were found to have high lineament density around the central portion of the area and span toward the western end of the map were delineated. The lineaments mapped trending in the ENE-WSW followed by WNW-ESE with some NE-SW, NNE-SSW and NNW-SSE trends. The second vertical derivative (SVD) map also helped in delineating structures and possible mineralization zones that are pronounced within the study area, around high analytic signal zones. Delineated possible and favorable mineralization zones from second vertical derivative map correlate with portion of the study area with rocks showing high analytic signal amplitude suggesting the rocks to be of later magmatic intrusions where mineralization fluids solidify within the host rocks.

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Section: Tilt Derivativementioning

confidence: 96%

Application of Aeromagnetic Data to Assess the Structures and Solid Mineral Potentials in Part of North Central Nigeria

Tawey¹,

Alhassan

Adetona

et al. 2020

JGEESI

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show abstract

“…Lineaments are frequently observed in remote sensing imagery as combinations of stream patterns or topographic alignments. Linears are naturally/culturally occurring features observed in remote sensing imagery, which are delineated based on distinct patterns of adjacent features with various combinations of linear patterns, tonal changes or tonal variation (Pal et al 2006(Pal et al , 2007aNarayan et al 2017). They are seen in remotely sensed images as a simple or composite linear feature on the surface (Pal et al 2006).…”

Section: Lineament Mapping -Lineament Extraction and Analysismentioning

confidence: 99%

Slope failure susceptibility zonation using integrated remote sensing and GIS techniques: A case study over Jhingurdah open pit coal mine, Singrauli coalfield, India

2018

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The susceptibility of slopes in open pit coal mines to various modes of failure (i.e., plane, wedge, circular and toppling failure) could be envisaged by virtue of processing and analysis of pertinent satellite data. The aim of the present study was to integrate thematic maps generated using remote sensing image processing techniques, in order to finally produce slope failure hazard zonation maps in and around Singrauli coalfield, India. The various failure-inducing factors, variables and parameters can be extracted from different satellite data and imageries. The data acquired by different sensors such as TM, ETM+, etc., of LANDSAT series and CARTOSAT of ISRO Bhuvan was used in this study. All these data were subsequently used to create different thematic maps such as slope map, lithological map, land use/land cover map, principal component analysis map, digital elevation model (DEM), etc. An advanced analysis for extraction of lineament attributes was also undertaken.

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“…The half-distance between ±π/4 contours gives an approximation of the source depth for vertical contacts. The distance between zero and +π/4 or −π/4 contour obtained from the TDR represent the depth to the top of the vertical contact (Oruc and Selim 2011;Pal and Majumdar 2015;Narayan et al 2016;Pal et al 2016b, c).…”

Section: Tilt Derivativementioning

confidence: 99%

“…Hitherto in India, only a few studies for coal fire investigation have been carried out in recent years using magnetometer data (Vaish and Pal 2013, 2015aKumar et al 2015;Pal et al 2016a). In recent years, potential field data have been effectively used by means of different derivative techniques for various geological investigations (Pal and Majumdar 2015;Narayan et al 2016;Pal et al 2016b, c). Present study deals with the delineation of subsurface coal fires of East Basuria Colliery in Jharia coal field, India using tilt derivative and downward continuation techniques of magnetic data.…”

Section: Introductionmentioning

confidence: 99%

Downward continuation and tilt derivative of magnetic data for delineation of concealed coal fire in East Basuria Colliery, Jharia coal field, India

et al. 2017

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The present study deals with the characterization of subsurface coal fires of East Basuria colliery in Jharia coal field, India using tilt derivative and downward continuation of magnetic data. Magnetic data processing methods such as diurnal correction, noise removal, reduction to pole, tilt derivative and downward continuation have been used to process the data and for the interpretation of results on the basis of magnetic properties of overlying materials which change with the temperature variation above or below the Curie temperature. Most of the magnetic anomalies are associated with coal fire and non-coal fire regions which are correlated with tilt-derivative anomaly and corresponding downward-continued anomaly at different depths. The subsequent surface and subsurface characteristics are explained with good agreement. Approximate source depth of principal anomaly inferred from tilt derivatives method are corroborated with multi-seam occurrences, mine working levels and surface manifestation which are also correlated well with 3D model of downward continued anomaly distribution.

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Delineation of structural features over a part of the Bay of Bengal using total and balanced horizontal derivative techniques

Cited by 49 publications

References 43 publications

Application of Aeromagnetic Data to Assess the Structures and Solid Mineral Potentials in Part of North Central Nigeria

Application of Aeromagnetic Data to Assess the Structures and Solid Mineral Potentials in Part of North Central Nigeria

Slope failure susceptibility zonation using integrated remote sensing and GIS techniques: A case study over Jhingurdah open pit coal mine, Singrauli coalfield, India

Downward continuation and tilt derivative of magnetic data for delineation of concealed coal fire in East Basuria Colliery, Jharia coal field, India

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