1887
Volume 68, Issue 7
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

Severe limitations of the standard Euler deconvolution to outline source shapes have been pointed out. However, Euler deconvolution has been widely employed on field data to outline interfaces, as faults and thrust zones. We investigate the limitations of the 3D Euler deconvolution–derived estimates of source dip and volume with the use of reduced‐to‐the‐pole synthetic and field anomalies. The synthetic anomalies are generated by two types of source bodies: (1) uniformly magnetized prisms, presenting either smooth or rough interfaces, and (2) bodies presenting smooth delimiting interfaces but strong internal variation of magnetization intensity. The dip of the first type of body might be estimated from the Euler deconvolution solution cluster if the ratio between the depth to the top and vertical extent is relatively high (>1/4). For the second type of body, besides dip, the source volume can be approximately delimited from the solution cluster envelope, regardless of the referred ratio. We apply Euler deconvolution to two field anomalies which are caused by a curved‐shape thrust zone and by a banded iron formation. These anomalies are chosen because they share characteristics with the two types of synthetic bodies. For the thrust zone, the obtained Euler deconvolution solutions show spatial distribution allowing to estimate a source dip that is consistent with the surface geology data, even if the above‐mentioned ratio is much less than 1/4. Thus, there are other factors, such as a heterogeneous magnetization, which might be controlling the vertical spreading of the Euler deconvolution solutions in the thrust zone. On the other hand, for the iron‐ore formation, the solution cluster spreads out occupying a volume, in accordance with the results obtained with the synthetic sources having internal variation of magnetization intensity. As conclusion, although Euler deconvolution–derived solutions cannot offer accurate estimates of source shapes, they might provide a sufficient degree of reliability in the initial estimates of the source dip and volume, which may be useful in a later phase of more accurate modelling.

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2020-06-18
2024-04-19
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References

  1. Almeida, F.F.M., Hasui, Y., Brito Neves, B.B. and Fuck, R.A. (1981) Brazilian structural provinces: an introduction. Earth‐Science Review, 17, 1–29.
    [Google Scholar]
  2. Anand, S.P., Rajaram, M., Majumdar, T.J. and Bhattacharyya, R. (2009) Structure and tectonics of 85°E ridge from analysis of geopotential data. Tectonophysics, 478, 100–110.
    [Google Scholar]
  3. Arthaud, M.H., Caby, R., Fuck, R.A., Dantas, E.L. and Parente, C.V. (2008) Geology of the Northern Borborema Province, NE Brazil and its correlation with Nigeria, NW Africa. In: Pankhurst, R.J., Trouw, R.A.J., Brito Neves, B.B. and De Wit, M.J. (Eds.) West Gondwana: Pre‐Cenozoic Correlations Across the Atlantic Region. Geological Society, London, Special Publications294, 49–67.
    [Google Scholar]
  4. Augusto, G.G.S. and Santos, E.J. (2014) São Raimundo Nonato – Folha SC.23‐X‐ D‐II: Estado do Piauí. Carta Geológica. Teresina, CPRM, mapa na escala 1:100.000. Programa Geologia do Brasil – PGB (available at geosgb.cprm.gov.br).
  5. Barbosa, V.C.F. and Silva, J.B.C. (2005) Deconvolução de Euler: passado, presente e futuro ‐ um tutorial. Revista Brasileira de Geofísica, 23, 243–250.
    [Google Scholar]
  6. Barbosa, V.C.F., Silva, J.B.C and Medeiros, E.W. (1999) Stability analysis and improvement of structural index estimation in Euler deconvolution. Geophysics, 64, 48–60.
    [Google Scholar]
  7. Barbosa, V.C.F., Silva, J.B.C and Medeiros, E.W. (2000) Making Euler deconvolution applicable to small ground magnetic surveys. Journal of Applied Geophysics, 43, 55–68.
    [Google Scholar]
  8. Blakely, J.R. (1996) Potential Theory in Gravity and Magnetic Applications, 2nd ed. Cambridge University Press. .
    [Google Scholar]
  9. Bournas, N., Galdeano, A., Hamoudi, M. and Baker, H. (2003) Interpretation of the aeromagnetic map of Eastern Hoggar (Algeria) using the Euler deconvolution, analytic signal and local wavenumber methods. Journal of African Earth Sciences, 37, 191–205.
    [Google Scholar]
  10. Brito Neves, B.B., Campos Neto, M.C. and Fuck, R.A. (1999) From Rodinia to Western Gondwana: an approach to the Brasiliano‐Pan African Cycle and orogenic collage. Episodes, 22, 155–166.
    [Google Scholar]
  11. Carvalho, J., Matias, H., Rabeh, T., Menezes, P.T.L. and Barbosa, V.C.F. (2012) Connecting onshore structures in the Algarve with the southern Portuguese continental margin: the Carcavai fault zone. Tectonophysics, 570–571, 151–162.
    [Google Scholar]
  12. Carvalho, J., Rabeh, T., Dias, R., Dias, R., Pinto, C., Oliveira, T. et al. (2014) Tectonic and neotectonic implications of a new basement map of the Lower Tagus Valley, Portugal. Tectonophysics, 617, 88–100.
    [Google Scholar]
  13. Castro, D.L. (2011) Gravity and magnetic joint modeling of the Potiguar Rift Basin (NE Brazil): basement control during neocomian extension and deformation. Journal of South American Earth Sciences, 31, 186–198.
    [Google Scholar]
  14. Castro, D.L., Fuck, R.A., Philips, J.D., Vidotti, R.M., Bezerra, F.H.R. and Dantas, E.L. (2014) Crustal structure beneath the Paleozoic Parnaíba Basin revealed by airborne gravity and magnetic data, Brazil. Tectonophysics, 614, 128–145.
    [Google Scholar]
  15. Chen, Q., Dong, Y., Cheng, S., Han, L., Xu, H. and Chen, H. (2014) Interpretation of fault system in the Tana Sag, Kenya, using edge recognition techniques and Euler deconvolution. Journal of Applied Geophysics, 109, 150–161.
    [Google Scholar]
  16. Cooper, G.R.J. (2004) Euler deconvolution applied to potential field gradients. Exploration Geophysics, 35, 165–170.
    [Google Scholar]
  17. Cordani, R. (2013) Constraint modelling in iron ore exploration. Proceedings of the 13rd International Congress of the Brazilian Geophysical Society (SBGF), Expanded Abstracts, 702–704.
  18. Curto, J.B., Vidotti, R.M., Blakely, R.J. and Fuck, R.A. (2015) Crustal framework of the northwest Paraná Basin, Brazil: insights from joint modeling of magnetic and gravity data. Tectonophysics, 655, 58–72.
    [Google Scholar]
  19. Ebbing, J., Skilbrei, J.R. and Olesen, O. (2007) Insights into the magmatic architecture of the Oslo Graben by petrophysically constrained analysis of the gravity and magnetic field. Journal of Geophysical of Research, 112, B04404. https://doi.org/10.1029/2006JB004694.
    [Google Scholar]
  20. Fairhead, J.D., Bennett, K.J., Gordon, D.R.H. and Huang, D. (1994) Euler: beyond the “Black Box”. SEG Technical Program Expanded Abstracts, 422–424.
    [Google Scholar]
  21. Fedi, M. and Florio, G. (2013) Determination of the maximum‐depth to potential field sources by a maximum structural index method. Journal of Applied Geophysics, 88, 154–160.
    [Google Scholar]
  22. Fedi, M., Florio, G. and Paoletti, V. (2015) MHODE: a local‐homogeneity theory for improved source‐parameter estimation of potential fields. Geophysical Journal International, 202, 887–900.
    [Google Scholar]
  23. Ferraccioli, F., Armadillo, E., Jordan, T., Bozzo, E. and Corr, H. (2009) Aeromagnetic exploration over the East Antarctic Ice Sheet: a new view of the Wilkes Subglacial Basin. Tectonophysics, 478, 62–77.
    [Google Scholar]
  24. Ferraccioli, F., Bozzo, E. and Damaske, D. (2002) Aeromagnetic signatures over western Marie Byrd Land provide insight into magmatic arc basement, mafic magmatism and structure of the Eastern Ross Sea Rift flank. Tectonophysics, 347, 139–165.
    [Google Scholar]
  25. FitzGerald, D., Reid, A. and McInerney, P. (2004) New discrimination techniques for Euler deconvolution. Computers & Geosciences, 30, 461–469.
    [Google Scholar]
  26. Gopal, K.G. (2016) Interpretation of gravity data using 3D Euler deconvolution, tilt angle, horizontal tilt angle and source edge approximation of the North‐West Himalaya. Acta Geophysica, 64, 1112–1138.
    [Google Scholar]
  27. Goussev, S.A. and Peirce, J.W. (2010) Magnetic basement: gravity‐guided magnetic source depth analysis and interpretation. Geophysical Prospecting, 58, 321–334.
    [Google Scholar]
  28. GrauchV.J.S. and Hudson, M.R. (2007) Guides to understanding the aeromagnetic expression of faults in sedimentary basins: lessons learned from the central Rio Grande rift, New Mexico. Geosphere, 3, 596–623.
    [Google Scholar]
  29. Hsu, S.‐K. (2002) Imaging magnetic sources using Euler's equation. Geophysical Prospecting, 50, 15–25.
    [Google Scholar]
  30. Jammes, S., Tiberi, C. and Manatschal, G. (2010) 3D architecture of a complex transcurrent rift system: the example of the Bay of Biscay‐Western Pyrenees. Tectonophysics, 489, 210–226.
    [Google Scholar]
  31. Jordan, T.A., Feraccioli, F., Ross, N., Corr, H.F.J., Leat, P.T., Bingham, R.G. et al. (2013) Inland extent of the Weddell Sea Rift imaged by new aerogeophysical data. Tectonophysics, 585, 137–160.
    [Google Scholar]
  32. Khalil, M.H. (2016) Subsurface faults detection based on magnetic anomalies investigation: a field example at Taba protectorate, South Sinai. Journal of Applied Geophysics, 131, 123–132.
    [Google Scholar]
  33. Li, X. (2008) Magnetic reduction‐to‐the‐pole at low latitudes: observations and considerations. The Leading Edge, 27, 990–1002.
    [Google Scholar]
  34. Ma, G. (2014) The application of extended Euler deconvolution method in the interpretation of potential field data. Journal of Applied Geophysics, 107, 188–194.
    [Google Scholar]
  35. MacLeod, I.N., Vierra, S. and Chaves, A.C. (1993) Analytic signal and reduction‐to‐the‐pole in the interpretation of total magnetic field data at low magnetic latitudes. Proceedings of the 3rd International Congress of the Brazilian Geophysical Society (SBGF), Expanded Abstracts, 830–835.
  36. Martins‐Ferreira, M.A.C., Campos, J.E.G., Huelsen, M.G.V. and Neri, B.L. (2018) Paleorift structure constrained by gravity and stratigraphic data: the Statherian Araí rift case. Tectonophysics, 738–739, 64–82.
    [Google Scholar]
  37. Mazabraud, Y., Béthoux, N. and Deroussi, S. (2005) Characterisation of the seismological pattern in a slowly deforming intraplate region: central and western France. Tectonophysics, 409, 175–192.
    [Google Scholar]
  38. Melo, F.F. and Barbosa, V.C.F. (2017a) Correct structural index defined by base level estimates in Euler deconvolution. Proceedings of the 15th International Congress of the Brazilian Geophysical Society (SBGF), Expanded Abstracts, 1086–1091.
  39. Melo, F.F. and Barbosa, V.C.F. (2017b) What to expect from Euler deconvolution estimates for isolated sources. Proceedings of the 15th International Congress of the Brazilian Geophysical Society (SBGF), Expanded Abstracts, 1092–1097.
  40. Melo, F.F., Barbosa, V.C.F., Uieda, L., OliveiraJr., V. and Silva, J.B.C. (2013) Estimating the nature and the horizontal and vertical positions of 3D magnetic sources using Euler deconvolution. Geophysics, 78, 87–98.
    [Google Scholar]
  41. Mieth, M. and Jokat, W. (2014) Banded iron formation (?) at grunehogna craton, East Antarctica‐constraints from aeromagnetic data. Precambrian Research, 250, 143–150.
    [Google Scholar]
  42. Mikhailov, V., Galdeano, A., Diament, M, Gvishiani, A., Agayan, S., Bogoutdinov, S. et al. (2003) Application of artificial intelligence for Euler solutions clustering. Geophysics, 68, 168–180.
    [Google Scholar]
  43. Minelli, L., Vecchio, A., Speranza, F., Nicolosi, I., Caracciolo, F.A., Chiappini, S. et al. (2016) Aeromagnetic investigation of southern Calabria and the Messina Straits (Italy): tracking seismogenic sources of 1783 and 1908 earthquakes. Journal of Geophysical of Research, 121, 1297–1315.
    [Google Scholar]
  44. Mushayandebvu, M.F, DrielP.van, Reid, A.B. and Fairhead, J.D. (2001) Magnetic source parameters of two‐dimensional structures using extended Euler deconvolution. Geophysics, 66, 814–823.
    [Google Scholar]
  45. Mushayandebvu, M.F, Lesur, V., Reid, A.B. and Fairhead, J.D. (2004) Grid Euler deconvolution with constraints for 2D structures. Geophysics, 69, 489–496.
    [Google Scholar]
  46. Nabighian, M.N. and Hansen, R.O. (2001) Unification of Euler and Werner deconvolution in three dimensions via the generalized Hilbert transform. Geophysics, 66, 1805–1810.
    [Google Scholar]
  47. Okabe, M. (1979) Analytical expressions for gravity anomalies due to homogeneous polyhedral bodies and translations into magnetic anomalies. Geophysics, 44, 730–741.
    [Google Scholar]
  48. Oladunjoye, M.A., Olayinka, A.I., Alaba, M. and Adabanija, M.A. (2016) Interpretation of high resolution aeromagnetic data for lineaments study and occurrence of banded iron formation in Ogbomoso area, Southwestern Nigeria. Journal of African Earth Sciences, 114, 43–56.
    [Google Scholar]
  49. Oliveira, R.G. and Medeiros, W.E. (2018) Deep crustal framework of the Borborema Province, NE Brazil, derived from gravity and magnetic data. Precambrian Research, 315, 45–65.
    [Google Scholar]
  50. Oruç, B. and Selim, B.B. (2011) Interpretation of magnetic data in the Sinop area of Mid Black Sea, Turkey, using tilt derivative, Euler deconvolution, and discrete wavelet transform. Journal of Applied Geophysics, 74, 194–204.
    [Google Scholar]
  51. Pilkington, M. and Saltus, R.W. (2009) The Mackenzie River magnetic anomaly, Yukon and Northwest Territories, Canada – evidence for Early Proterozoic magmatic arc crust at the edge of the North American craton. Tectonophysics, 478, 78–86.
    [Google Scholar]
  52. Reid, A.B. (2003) Euler magnetic structural index of a thin‐bed fault. Geophysics, 68, 1255–1256.
    [Google Scholar]
  53. Reid, A.B., Allsop, J.M., Granser, H., Millett, A.J. and Somerton, I.W. (1990) Magnetic interpretation in three dimensions using Euler deconvolution. Geophysics, 55, 80–91.
    [Google Scholar]
  54. Reid, A.B., FitzGerald, D. and McInerny, P. (2003) Euler deconvolution of gravity data. SEG Technical Program Expanded Abstracts, 80–583.
    [Google Scholar]
  55. Rocha, L.G.M., Pires, A.C.B., Carmelo, A.C. and Filho, J.O.A. (2014) Geophysical characterization of the azimuth 125° lineament with aeromagnetic data: contributions to the geology of central Brazil. Precambrian Research, 249, 273–287.
    [Google Scholar]
  56. Sanchez‐Rojas, J. and Palma, M. (2014) Crustal density structure in northwestern South America derived from analysis and 3‐D modeling of gravity and seismicity data. Tectonophysics, 634, 97–115.
    [Google Scholar]
  57. Silva, B.C.J. (1986) Reduction to the pole as an inverse problem and its application to low latitude anomalies. Geophysics, 51, 369–382.
    [Google Scholar]
  58. Silva, J.B.C., Barbosa, V.C.F. and Medeiros, W.E. (2001) Scattering, symmetry, and bias analysis of source‐position estimates in Euler deconvolution and its practical implications. Geophysics, 66, 1149–1156.
    [Google Scholar]
  59. Sridhar, M., Babu, V.R., Markandeyulu, A., Raju, B.V.S.N., Chaturvedi, A.K. and Roy, M.K. (2017) A reassessment of the archean‐mesoproterozoic tectonic development of the southeastern Chhattisgarh Basin, Central India through detailed aeromagnetic analysis. Tectonophysics, 712–713, 289–302.
    [Google Scholar]
  60. Stavrev, P. and Reid, A. (2007) Degrees of homogeneity of potential fields and structural indices of Euler deconvolution. Geophysics, 72(1), L1‐L12.
    [Google Scholar]
  61. Thompson, D.T. (1982) EULDPH: a new technique for making depth estimates from magnetic data. Geophysics, 47, 31–37.
    [Google Scholar]
  62. Uchôa Filho, E.A. and Freitas, M.S. (2017) Complexos Santa Filomena e Paulistana. Teresina, CPRM, mapa na escala 1:100.000. Integração geológica e de recursos minerais das faixas marginais da borda norte‐noroeste do Cráton São Francisco (available at geosgb.cprm.gov.br).
  63. Ugalde, H. and Morris, W.A. (2010) Cluster analysis of Euler deconvolution solutions: new filtering techniques and geologic strike determination. Geophysics, 75, 61–70.
    [Google Scholar]
  64. Uieda, L., Oliveira, J.R and Barbosa, V.C.F. (2014) Geophysical tutorial: Euler deconvolution of potential‐field data. The Leading Edge, 33, 448–450.
    [Google Scholar]
  65. Wang, J., Meng, X. and Li, F. (2017) New improvements for lineaments study of gravity data with improved Euler inversion and phase congruency of the field data. Journal of Applied Geophysics, 136, 326–334.
    [Google Scholar]
  66. Widiwijayanti, C., Tiberi, C., Deplus, C., Diament, M., Mikhailov, V. and Louat, R. (2004) Geodynamic evolution of the northern Molucca Sea area (Eastern Indonesia) constrained by 3‐D gravity field inversion. Tectonophysics, 386, 203–222.
    [Google Scholar]
  67. Zhang, C., Mushayandebvu, M.F., Reid, A.B., Fairhead, J.D. and Odegard, M.E. (2000) Euler deconvolution of gravity tensor gradient data. Geophysics, 65, 512–520.
    [Google Scholar]
  68. Zhang, J., Zhao, G., Shen, W., Li, S. and Sun, M. (2015) Aeromagnetic study of the Hengshan‐Wutai‐Fuping region: unraveling a crustal profile of the Paleoproterozoic Trans‐North China Orogen. Tectonophysics, 662, 208–218.
    [Google Scholar]
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  • Article Type: Research Article
Keyword(s): Interpretation; Magnetics; Modelling; Parameter estimation

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