Open AccessInterval Approach to Magnetotelluric Data Processing
Author(s) -
A. A. Lavrukhin,
A S Tukanova
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 - 10.1088/1742-6596/2096/1/012127
Subject(s) - magnetotellurics , weighting , data processing , python (programming language) , algorithm , computer science , interval (graph theory) , interval data , data mining , mathematics , engineering , medicine , combinatorics , electrical engineering , electrical resistivity and conductivity , radiology , operating system , measure (data warehouse)
The article presents a new approach to estimate the frequency characteristics of the impedance tensor for processing magnetotelluric data. The approach is based on the applying of interval analysis methods when solving a system of linear equations. As a reference method, to compare with, a combined robust algorithm is used (with discarding data by the coherence criterion, median estimating, and weighting least squares method). This algorithm is compared with the results of the proposed interval computational algorithm that is based on the method of J. Rohn, implemented in the intvalpy Python library. Computational experiments on the data processing were performed using natural magnetotelluric field data. The interval approach can be successfully applied to the processing of magnetotelluric data.