Design of Inversion Modeling 1-D Gravity Data Using a Method of Singular Value Decomposition (SVD) Based on Matlab

Dublin Core

Title

Design of Inversion Modeling 1-D Gravity Data Using a Method of Singular Value Decomposition (SVD) Based on Matlab

Description

The study about design of Inversion Modeling 1-D Gravity Data using a method of Singular Value Decomposition (SVD) based on Matlab has been done. This study is aimed to design the modeling program of 1-D gravity data using SVD method based on Matlab and than apply the program for subsurface investigation based on contras density of the target body. The SVD method was used to solve the inversion code by applying truncation method of the data into some eigen values in order to resolve a better model. Gravity data used for inversion modeling is data generated from the forward modelling code. Inversion modeling program has been tested for several models such as with variation depth and its contrast density vertical fault. The result mostly show  a small data error is equal to 0,9908 mGal.

Creator

., Irwansyah
Khairuman, Teuku
Ismail, Nazli

Source

Journal of Aceh Physics Society; Volume 2 2013
2355-8229

Publisher

Aceh Physics Society

Date

2013-08-28

Contributor

Relation

http://jurnal.unsyiah.ac.id/JAcPS/article/view/727/686

Format

application/pdf

Language

eng

Type

info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

Identifier

http://jurnal.unsyiah.ac.id/JAcPS/article/view/727