An Express Algorithm for Transient Electromagnetic Data Interpretation
The transient electromagnetic (TEM) method is a time-domain, controlled source, electromagnetic (EM) geophysical technique which is often applied to image the subsurface conductivity distributions of shallow layers due to its effectiveness and adaptability to complex site working conditions. The mea...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-02-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/9/2/354 |
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| author | Roman Kaminskyj Nataliya Shakhovska Gregus Michal Borys Ladanivskyy Lidia Savkiv |
| author_facet | Roman Kaminskyj Nataliya Shakhovska Gregus Michal Borys Ladanivskyy Lidia Savkiv |
| author_sort | Roman Kaminskyj |
| collection | DOAJ |
| description | The transient electromagnetic (TEM) method is a time-domain, controlled source, electromagnetic (EM) geophysical technique which is often applied to image the subsurface conductivity distributions of shallow layers due to its effectiveness and adaptability to complex site working conditions. The means for an express analysis of such experimental data in several practical cases have advantages and are suitable for use. We developed our approach for determining the approximate one-dimensional (1D) model of background conductivity based on the formal transformation of the TEM experimental data and the mathematical analysis of continuous functions. Our algorithm, which allows the 1D model’s parameters to be obtained in terms of a layer’s thickness and resistivity, widely utilizes the numerical differentiation of experimental curves as well as of transformed ones. Since the noise level increases with time in the attenuating TEM signals and differentiation even enhances it, special procedures are required to calculate the derivative values. We applied the piecewise cubic spline approximation to solve this problem. In that case, the derivatives are obtained using polynomial coefficients which are available for each node. The application of the created facilities is demonstrated using real experimental data of the TEM soundings. |
| first_indexed | 2024-04-11T11:14:10Z |
| format | Article |
| id | doaj.art-882b8260acdf479b9536861f98ac5c8e |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-04-11T11:14:10Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-882b8260acdf479b9536861f98ac5c8e2022-12-22T04:27:19ZengMDPI AGElectronics2079-92922020-02-019235410.3390/electronics9020354electronics9020354An Express Algorithm for Transient Electromagnetic Data InterpretationRoman Kaminskyj0Nataliya Shakhovska1Gregus Michal2Borys Ladanivskyy3Lidia Savkiv4Artificial intelligence Department, Lviv Polytechnic National University, 79013 Lviv, UkraineArtificial intelligence Department, Lviv Polytechnic National University, 79013 Lviv, UkraineDepartment of Information Systems, Comenius University in Bratislava, 81499 Bratislava, SlovakiaGeoelectromagnetic Methods Department, Carpathian Branch of Subbotin Institute of Geophysics, National Academy of Sciences of Ukraine, 79060 Lviv, UkraineGeoelectromagnetic Methods Department, Carpathian Branch of Subbotin Institute of Geophysics, National Academy of Sciences of Ukraine, 79060 Lviv, UkraineThe transient electromagnetic (TEM) method is a time-domain, controlled source, electromagnetic (EM) geophysical technique which is often applied to image the subsurface conductivity distributions of shallow layers due to its effectiveness and adaptability to complex site working conditions. The means for an express analysis of such experimental data in several practical cases have advantages and are suitable for use. We developed our approach for determining the approximate one-dimensional (1D) model of background conductivity based on the formal transformation of the TEM experimental data and the mathematical analysis of continuous functions. Our algorithm, which allows the 1D model’s parameters to be obtained in terms of a layer’s thickness and resistivity, widely utilizes the numerical differentiation of experimental curves as well as of transformed ones. Since the noise level increases with time in the attenuating TEM signals and differentiation even enhances it, special procedures are required to calculate the derivative values. We applied the piecewise cubic spline approximation to solve this problem. In that case, the derivatives are obtained using polynomial coefficients which are available for each node. The application of the created facilities is demonstrated using real experimental data of the TEM soundings.https://www.mdpi.com/2079-9292/9/2/354transient electromagnetic methoddecay curvemathematical modelformal interpretationgeoelectric cross section |
| spellingShingle | Roman Kaminskyj Nataliya Shakhovska Gregus Michal Borys Ladanivskyy Lidia Savkiv An Express Algorithm for Transient Electromagnetic Data Interpretation Electronics transient electromagnetic method decay curve mathematical model formal interpretation geoelectric cross section |
| title | An Express Algorithm for Transient Electromagnetic Data Interpretation |
| title_full | An Express Algorithm for Transient Electromagnetic Data Interpretation |
| title_fullStr | An Express Algorithm for Transient Electromagnetic Data Interpretation |
| title_full_unstemmed | An Express Algorithm for Transient Electromagnetic Data Interpretation |
| title_short | An Express Algorithm for Transient Electromagnetic Data Interpretation |
| title_sort | express algorithm for transient electromagnetic data interpretation |
| topic | transient electromagnetic method decay curve mathematical model formal interpretation geoelectric cross section |
| url | https://www.mdpi.com/2079-9292/9/2/354 |
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