A new approach for the interpretation of self-potential data by 2-D inclined plate

被引:28
|
作者
Essa, Khalid S. [1 ]
Elhussein, Mahmoud [1 ]
机构
[1] Cairo Univ, Dept Geophys, Fac Sci, PO 12613, Giza, Egypt
关键词
Self-potential data interpretation; Second horizontal gradient; 2-D inclined plate; Mineral exploration; ANOMALIES; SHEET; OPTIMIZATION; DEPTH;
D O I
10.1016/j.jappgeo.2016.11.019
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
A new accurate technique has been developed to interpret self-potential (SP) data (d) measured along a profile by a two-dimensional (2-D) inclined plate-like body. The technique solves for the depth (z) to top and half-width (w) of the body, and is based on the second horizontal gradient (SHG) that is calculated at a number of window lengths. Using points symmetrically distributed about the origin point of the SP profile, the scheme derives and evaluates a function F at various window lengths from the measured SP anomaly profile. At a fixed window length (s), the depth corresponding to an assumed half-width is determined by solving a nonlinear equation in the form phi (d, s, w, z) = 0. The depths corresponding to all considered windows are then obtained at the assumed width. The standard deviation of these depths is calculated for this width. This process is repeated for various widths. The final solution (the depth and half-width) of the interpretive buried structure is that which achieves the least standard deviation. The validity and accuracy of the new scheme has been demonstrated on theoretical noise free and noisy SP data. It has been successfully applied to two real data, and it is found that the parameters estimated from the scheme described here are in good agreement with those reported in the published literature. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:455 / 461
页数:7
相关论文
共 50 条
  • [31] A comparative performance of least-square method and very fast simulated annealing global optimization method for interpretation of self-potential anomaly over 2-D inclined sheet type structure
    Arkoprovo Biswas
    Journal of the Geological Society of India, 2016, 88 : 493 - 502
  • [32] A comparative performance of least-square method and very fast simulated annealing global optimization method for interpretation of self-potential anomaly over 2-D inclined sheet type structure
    Biswas, Arkoprovo
    JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA, 2016, 88 (04) : 493 - 502
  • [33] Hartley spectral analysis of self-potential anomalies caused by a 2-D horizontal circular cylinder
    Al-Garni, Mansour A.
    Sundararajan, Narasimman
    ARABIAN JOURNAL OF GEOSCIENCES, 2012, 5 (06) : 1341 - 1346
  • [34] Quantitative interpretation of multiple self-potential anomaly sources by a global optimization approach
    Di Maio, Rosa
    Piegari, Ester
    Rani, Payal
    Carbonari, Rolando
    Vitagliano, Eleonora
    Milano, Leopoldo
    JOURNAL OF APPLIED GEOPHYSICS, 2019, 162 (152-163) : 152 - 163
  • [35] A new method of interpreting self-potential anomalies of two-dimensional inclined sheets
    Murthy, IR
    Sudhakar, KS
    Rao, PR
    COMPUTERS & GEOSCIENCES, 2005, 31 (05) : 661 - 665
  • [36] A practical approach for self-potential data acquisition, processing, and visualization Stephanie
    Barde-Cabusson, Stephanie
    Finizola, Anthony
    Grobbe, Niels
    INTERPRETATION-A JOURNAL OF SUBSURFACE CHARACTERIZATION, 2021, 9 (01): : T123 - T143
  • [37] A Machine learning approach for the magnetic data interpretation of 2-D dipping dike
    Aimol, Sh Bronson
    Rao, G. Srinivasa
    Kumar, Thinesh
    Arasada, Rama Chandrudu
    ACTA GEOPHYSICA, 2023, 71 (02) : 681 - 696
  • [38] A Machine learning approach for the magnetic data interpretation of 2-D dipping dike
    Sh Bronson Aimol
    G. Srinivasa Rao
    Thinesh Kumar
    Rama Chandrudu Arasada
    Acta Geophysica, 2023, 71 : 681 - 696
  • [39] Reconstruction of the Water Table from Self-Potential Data: A Bayesian Approach
    Jardani, A.
    Revil, A.
    Barrash, W.
    Crespy, A.
    Rizzo, E.
    Straface, S.
    Cardiff, M.
    Malama, B.
    Miller, C.
    Johnson, T.
    GROUND WATER, 2009, 47 (02) : 213 - 227
  • [40] A nonlinear programming technique for the interpretation of self-potential anomalies
    Asfahani, J
    Tlas, M
    PURE AND APPLIED GEOPHYSICS, 2002, 159 (06) : 1333 - 1343