Automatic Interpretation Of Magnetic Data Using Euler Deconvolution With Modified Algorithm
| dc.contributor.author | Usman, Nuraddeen | |
| dc.date.accessioned | 2019-04-25T00:46:15Z | |
| dc.date.available | 2019-04-25T00:46:15Z | |
| dc.date.issued | 2018-04 | |
| dc.description.abstract | The conventional Euler deconvolution has five unknown parameters to be solve which are the location of source (x0, y0 and z0), the background field (B) and the structural index (N). Among these 5 unknowns, the structural index is to be manually selected by the user. The manual input of structural index into the Euler equation makes the technique to be subjective and semi-automated. The objectives of this research are, to automate Euler deconvolution equation and introduce a filter for discriminating reliable solution from the inversion output. It is also part of the objectives of this research, to assess the effect of inclination on the new technique and investigate the accuracy of the introduced algorithm. Multiple linear regression was used to solve the five unknown parameters of Euler deconvolution relation for gridded magnetic data. To provide an effective filtering, six filters were analysed in order to select a best one that would be used as an aid for filtering Euler solutions. Other criteria used for filtering of the inversion output are distance from the centre of convolution window, deviation of structural index and regression error. These criterions are integrated, automated and used for selecting more reliable solutions from the inversion output. The effect of inclination on this technique is assessed using synthetic (simple and combined) and field model’s studies. Each model is simulated using different inclinations (0°, 15°, 30°, 45°, 60°, 75° and 90°) with other parameters kept constant. The derivatives of each data set were computed, inverted, more reliable solutions are selected and the results were compared. For real data, the inverted and filtered results from the total field and it’s reduced to the pole data were also compared. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/8109 | |
| dc.language.iso | en | en_US |
| dc.publisher | Universiti Sains Malaysia | en_US |
| dc.subject | Automatic interpretation of magnetic data | en_US |
| dc.subject | deconvolution with modified algorithm | en_US |
| dc.title | Automatic Interpretation Of Magnetic Data Using Euler Deconvolution With Modified Algorithm | en_US |
| dc.type | Thesis | en_US |
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