ECloud – Magnetotelluric Webapp
Geophysical web applications are highly underrated. There are many potential benefits for transitioning to a cloud based web applications including compatibility improvement, low on-going operating costs and better access to existing third-party code and tools for facilitating rapid development. For...
| Main Authors: | , , |
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| Format: | Conference Paper |
| Published: |
2018
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| Online Access: | https://doi.org/10.1071/ASEG2018abT7_2H http://hdl.handle.net/20.500.11937/68817 |
| _version_ | 1848761897360293888 |
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| author | Pethick, A. Harris, Brett Lebedev, P. |
| author_facet | Pethick, A. Harris, Brett Lebedev, P. |
| author_sort | Pethick, A. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Geophysical web applications are highly underrated. There are many potential benefits for transitioning to a cloud based web applications including compatibility improvement, low on-going operating costs and better access to existing third-party code and tools for facilitating rapid development. For users, time spent on installation, general IT maintenance such license management and upgrading is minimized. While web applications for business style applications are deeply established, scientific applications on the web are only just emerging. This research builds upon our previous feasibility study (Pethick and Harris 2015), which was the development of a 1D MT web application. This is to be redevelop into a commercial grade cloud hosted geophysical inversion web app that can cooperatively invert seismic and magnetotelluric (MT) data. Our software, ECloud, is designed to be user friendly where geoscientists and drillers can upload MT field data directly from their laptop, tablet or mobile to obtain subsurface geo-electrical distributions quickly with minimal input. This application is designed to be scalable, suiting cloud environments and is currently hosted on an Amazon EC2 instance. The preconceived notion that web applications are slow will be challenged. The purposefully designed MT algorithm and software structure will hopefully result in lower computation times while minimizing restrictions based on hardware requirements (i.e., primary memory). |
| first_indexed | 2025-11-14T10:38:58Z |
| format | Conference Paper |
| id | curtin-20.500.11937-68817 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:38:58Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-688172019-02-19T05:35:55Z ECloud – Magnetotelluric Webapp Pethick, A. Harris, Brett Lebedev, P. Geophysical web applications are highly underrated. There are many potential benefits for transitioning to a cloud based web applications including compatibility improvement, low on-going operating costs and better access to existing third-party code and tools for facilitating rapid development. For users, time spent on installation, general IT maintenance such license management and upgrading is minimized. While web applications for business style applications are deeply established, scientific applications on the web are only just emerging. This research builds upon our previous feasibility study (Pethick and Harris 2015), which was the development of a 1D MT web application. This is to be redevelop into a commercial grade cloud hosted geophysical inversion web app that can cooperatively invert seismic and magnetotelluric (MT) data. Our software, ECloud, is designed to be user friendly where geoscientists and drillers can upload MT field data directly from their laptop, tablet or mobile to obtain subsurface geo-electrical distributions quickly with minimal input. This application is designed to be scalable, suiting cloud environments and is currently hosted on an Amazon EC2 instance. The preconceived notion that web applications are slow will be challenged. The purposefully designed MT algorithm and software structure will hopefully result in lower computation times while minimizing restrictions based on hardware requirements (i.e., primary memory). 2018 Conference Paper http://hdl.handle.net/20.500.11937/68817 10.1071/ASEG2018abT7_2H https://doi.org/10.1071/ASEG2018abT7_2H restricted |
| spellingShingle | Pethick, A. Harris, Brett Lebedev, P. ECloud – Magnetotelluric Webapp |
| title | ECloud – Magnetotelluric Webapp |
| title_full | ECloud – Magnetotelluric Webapp |
| title_fullStr | ECloud – Magnetotelluric Webapp |
| title_full_unstemmed | ECloud – Magnetotelluric Webapp |
| title_short | ECloud – Magnetotelluric Webapp |
| title_sort | ecloud – magnetotelluric webapp |
| url | https://doi.org/10.1071/ASEG2018abT7_2H http://hdl.handle.net/20.500.11937/68817 |