Open AccessComparative Results of Regional and Residual Anomalies with the Upward Continuation, Moving Average, and Polynomial Methods for Magnetic Data
Author(s) -
Luvera Deva Intan Indrawati,
Rina Dwi Indriana,
Irham Nurwidyanto
Publication year - 2020
Publication title -
journal of physics and its applications
Language(s) - English
Resource type - Journals
ISSN - 2622-5956
DOI - 10.14710/jpa.v2i2.7673
Subject(s) - polynomial , residual , mathematics , continuation , autocorrelation , moving average , anomaly (physics) , mathematical analysis , algorithm , computer science , statistics , physics , programming language , condensed matter physics
Geophysics programing of regional and residual anomaly separation on Magnetic data has been carried out with the results compared with the upward continuation method in the OasisMontaj software. Separation of anomalies with moving average and polynomial methods is processed using Matlab programming. The orders used in the polynomial method are first-order, second-order and third-order. Comparison is done by calculating the match value. The chosen matching method is autocorrelation. Correlation of residual magnetic anomalies resulting from upward continuation (Magpick) to moving averages, 1st-order polynomials, 2nd-order polynomials and 3rd-order polynomials. Correlation values obtained for the moving average method are 0.9604, first order polynomial 0.9072, 2nd order polynomial 0.9482 and third order polynomial 0.6057. The moving average and second order polynomial methods can be used as a substitute method if we do not use the upward continuation method.