Scientific Journal of Informatics
Vol 6, No 2 (2019): November 2019

Inverse Modeling Using Taylor Expansion Approach and Jacobi Matrix on Magnetic Data (Dyke/Magma Intrusion Cases)

Agus Suprianto (Universitas Jember)
Wahyudi Wahyudi (Universitas Gadjah Mada, Indonesia)
Wiwit Suryanto (Universitas Gadjah Mada, Indonesia)
Ari Setiawan (Universitas Gadjah Mada, Indonesia)
Aryono Adhi (Universitas Negeri Semarang)
Nurul Priyantari (Universitas Jember)
Supriyadi Supriyadi (Universitas Jember)
Agus Subekti (Universitas Jember)



Article Info

Publish Date
01 Dec 2019

Abstract

The mathematical modelling of geological structures, i.e. magma intrusion or dyke, has been done,  based on magnetic data with inversion techniques using MatLab. The magnetic equation is a non-linear equation, and completion is done using a linear approach to non-linear mathematical models of magnetic data using the Taylor expansion approach and Jacobi Matrix. The first step of this research is to make synthetic data forward modelling from the magnetic equation of magma intrusion or dyke cases without errors, and the next stepping then add errors to the data. The next step is to do an inversion to get the parameters sought, i.e. depth and angle of the magma intrusion, by giving initial guesses, and then re-correct iteratively until convergent results are obtained. Finally, parameters of slope dyke or thin magma intrusion and its depth can be determined. The results obtained indicate that this technique can be used to get physical parameters sought from magnetic data for simple geological cases, i.e. dyke and magma intrusion.

Copyrights © 2019






Journal Info

Abbrev

SJI

Publisher

Subject

Computer Science & IT

Description

Scientific Journal of Informatics published by the Department of Computer Science, Semarang State University, a scientific journal of Information Systems and Information Technology which includes scholarly writings on pure research and applied research in the field of information systems and ...