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Information Journal Paper

Title

IMPROVEMENT OF DEPTH AND STRUCTURAL INDEX ESTIMATIONS OF POTENTIAL FIELD SOURCES USING CURVATURE ATTRIBUTES

Pages

  71-86

Abstract

 Interpretation of POTENTIAL FIELD data generally is quantitative or qualitative. An important factor in the issue of interpretation is how much interpreter is confident on data that provides the information needed to achieve the objectives of the study. Reliance on interpretation can be increased by the use of effective methods for parameters determination of causative sources. Although do most methods do not require knowing the density or susceptibility contrast, but these methods are based on the assumption that the source is a certain type (horizontal slab, vertical dykes, etc.) and two-dimensional. By selecting the wrong type of source, large errors may occur. Despite all these problems, numerous automatic techniques are designed that can be applied over the magnetic or gravity anomalies to quickly estimate the depth of the sources. CURVATURE method is used to analyze and interpret the POTENTIAL FIELD anomalies. POTENTIAL FIELD anomalies can be transformed into SPECIAL FUNCTIONs that formed peaks and ridges over isolated sources. All of these SPECIAL FUNCTIONs have a mathematical form over sources that lead to a common equation, to estimate the depth of the source from the peak value and CURVATURE at the peak. CURVATURE attributes that are used in this case are mostly negative CURVATUREs. SPECIAL FUNCTIONs are divided into two categories: Model-specific SPECIAL FUNCTIONs and Model-independent SPECIAL FUNCTIONs. Model-specific SPECIAL FUNCTIONs are usually calculated from a transformed POTENTIAL FIELD for locating the specific sources such as a vertical magnetic contact, vertical density contact, etc. The horizontal gradient magnitude (HGM) and observed POTENTIAL FIELD (absolute value) are two types of model-specific SPECIAL FUNCTIONs that forms ridges over specific sources. Model-independent SPECIAL FUNCTIONs are used to calculate locations of various types of sources from the observational or modified POTENTIAL FIELD. Total gradient (TG), also called the analytic signal, and local wavenumber (LW) fall into this group. Usually, SPECIAL FUNCTIONs need that the POTENTIAL FIELD undergoes a transformation, such as reduction-to-pole and vertical derivative. For gridded data, eigenvalues of the CURVATURE matrix associated with QUADRATIC SURFACE is fitted to a SPECIAL FUNCTION within 3×3 window, to locate and estimate the depth of sources. Another CURVATURE attributes is shape index that quantitatively stated the local shape in terms of bowl, valley, flat, ridge and dome. Shape index attribute (SHI) and geometry factor provide a way to easily reject some of invalid estimations. In this study, method of CURVATURE attributes has been applied on noisy and noise free synthetic data using Model-specific (HGM and absolute value) and Model-independent SPECIAL FUNCTIONs (Total gradient and local wavenumber). Finally, this method was tested on real data from Mobrun massive sulfide ore of Canada using SPECIAL FUNCTIONs of two models and a structural index (SI) from local wavenumber SPECIAL FUNCTION for a mine was estimated. The results of estimating the depth by this method had a good match with the results of the boreholes. Finally, the depth results of this method were compared with Euler deconvolution method, which shows that the method of using CURVATURE attributes is more accurate in DEPTH ESTIMATION.

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  • Cite

    APA: Copy

    Barazesh, M., & MOTAVALLI ANBARAN, S.H.. (2017). IMPROVEMENT OF DEPTH AND STRUCTURAL INDEX ESTIMATIONS OF POTENTIAL FIELD SOURCES USING CURVATURE ATTRIBUTES. JOURNAL OF THE EARTH AND SPACE PHYSICS, 43(1 ), 71-86. SID. https://sid.ir/paper/80374/en

    Vancouver: Copy

    Barazesh M., MOTAVALLI ANBARAN S.H.. IMPROVEMENT OF DEPTH AND STRUCTURAL INDEX ESTIMATIONS OF POTENTIAL FIELD SOURCES USING CURVATURE ATTRIBUTES. JOURNAL OF THE EARTH AND SPACE PHYSICS[Internet]. 2017;43(1 ):71-86. Available from: https://sid.ir/paper/80374/en

    IEEE: Copy

    M. Barazesh, and S.H. MOTAVALLI ANBARAN, “IMPROVEMENT OF DEPTH AND STRUCTURAL INDEX ESTIMATIONS OF POTENTIAL FIELD SOURCES USING CURVATURE ATTRIBUTES,” JOURNAL OF THE EARTH AND SPACE PHYSICS, vol. 43, no. 1 , pp. 71–86, 2017, [Online]. Available: https://sid.ir/paper/80374/en

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