Open AccessImplemented preconditioning conjugate gradient algorithm on electrical resistance tomography to modelling structural geology
Author(s) -
A. Kusmiaran,
Teuku Abdullah Sanny,
S. Nurrahmi,
Fitria Afri Yanti,
Minarti Minarti
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1763/1/012005
Subject(s) - conjugate gradient method , electrical resistivity tomography , tomography , geology , inverse problem , economic geology , inverse , engineering geology , algorithm , geophysics , electrical resistivity and conductivity , geometry , geotechnical engineering , hydrogeology , computer science , mathematical analysis , engineering , optics , seismology , mathematics , physics , volcanism , telmatology , electrical engineering , tectonics
The development of a method to enhance resolution in imaging subsurface structural geology has continuously developed. The method of tomography field is electrical resistance tomography that is a powerful method for imaging subsurface structural geology. The electrical resistance tomography method is divided into two parts that are forward modelling and inverse modelling. The principle of forwarding modelling is to solve elliptic differential equation second order by finite volume method. The result of this part is the subsurface resistivity magnitude where it is used to model structural geology. For modelling inverse, the algorithm that has used to the model of subsurface structural geology is the Gauss-Newton method with an updated model that is preconditioning conjugate gradient. The ability of the electrical resistance tomography has tested to models of subsurface structural geology such us layering, and fault model. The results have revealed that this method able to model the subsurface of the structural geology, delineate the edge of the layer, and enhance the resolution of the model.