کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4740834 1641176 2011 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multi-deconvolution analysis of potential field data
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات فیزیک زمین (ژئو فیزیک)
پیش نمایش صفحه اول مقاله
Multi-deconvolution analysis of potential field data
چکیده انگلیسی

This paper presents a multi-deconvolution method for interpretation of potential-field data. The multi-deconvolution method used information from isolated anomalies and data transformations to produce functions forming a peak or a through above the center of a potential-field source. The proposed method can be applied to a wide range of potential field anomaly data as well as their total gradient (TG) and local wavenumber (LW) data. It allows the determination of the source depth and physical property of the source (susceptibility or density) from potential field data or their TG data if one assumes a source type. When applied to the local wavenumber of potential field data, it does not require information about the type of the source. Instead it enables the determination of both the depth and information about the nature of the source. The potential advantages of the method to estimate source parameters from gravity and magnetic data are illustrated using theoretical and field examples. The practical utility of the method is demonstrated using high-resolution data over dike-like bodies from Egypt.

Research Highlights
► This paper presents a multi-deconvolution method for interpretation of potential-field data.
► The proposed method can be applied to a wide range of potential field anomaly data.
► It allows the determination of the source type, depth and physical property (susceptibility or density).
► The practical utility of the method is demonstrated using high-resolution magnetic data over dike-like bodies from Egypt.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Applied Geophysics - Volume 74, Issues 2–3, July 2011, Pages 151–156
نویسندگان
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