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| Format: | Artículo científico |
| Language: | en |
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Universidad de Moa Dr. Antonio Núñez Jiménez
2008
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| Online Access: | https://www.redalyc.org/articulo.oa?id=223515953003 |
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| _version_ | 1866815887483338752 |
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| author | Saad BAKKALI |
| author_facet | Saad BAKKALI |
| contents | The auto-regressive modeling approach applied to denoise moroccan resistivity data phosphate disturbances map Saad BAKKALI Mahacine AMRANI Ciencias de la Tierra auto model Morocco phosphate filtering Several methods are currently used to optimize edges and contours of geophysical data maps. A resistivity map was expected to allow the electrical resistivity signal to be imaged in 2D in Moroccan resistivity survey in the mining domain. A Schlumberger resistivity survey over an area of 50 hectares was carried out to detect resistivity anomalies associated to phosphate disturbances. To filter out white noise from the resistivity data was used a method based on the auto-regressive model (ARM) approach. It was implemented by means of AutoSignalroutine. The auto-regressive filtering output of the phosphate deposit disturbances map obtained by this approach shown that ARM gives an effective filtering method which attenuates considerably the noise represented by minor dispersed and random disturbances; it gives a significant reduction of distortion to the shape of the original resistivity signal. 2008 artículo científico 1993-8012 https://www.redalyc.org/articulo.oa?id=223515953003 en http://www.redalyc.org/revista.oa?id=2235 Minería y Geología application/pdf Universidad de Moa Dr. Antonio Núñez Jiménez Minería y Geología (Cuba) Num.1 Vol.24 |
| format | Artículo científico |
| id | redalyc_223515953003 |
| language | en |
| publishDate | 2008 |
| publisher | Universidad de Moa Dr. Antonio Núñez Jiménez |
| spellingShingle | The auto-regressive modeling approach applied to denoise moroccan resistivity data phosphate disturbances map Saad BAKKALI Ciencias de la Tierra auto model Morocco phosphate filtering The auto-regressive modeling approach applied to denoise moroccan resistivity data phosphate disturbances map Saad BAKKALI Mahacine AMRANI Ciencias de la Tierra auto model Morocco phosphate filtering Several methods are currently used to optimize edges and contours of geophysical data maps. A resistivity map was expected to allow the electrical resistivity signal to be imaged in 2D in Moroccan resistivity survey in the mining domain. A Schlumberger resistivity survey over an area of 50 hectares was carried out to detect resistivity anomalies associated to phosphate disturbances. To filter out white noise from the resistivity data was used a method based on the auto-regressive model (ARM) approach. It was implemented by means of AutoSignalroutine. The auto-regressive filtering output of the phosphate deposit disturbances map obtained by this approach shown that ARM gives an effective filtering method which attenuates considerably the noise represented by minor dispersed and random disturbances; it gives a significant reduction of distortion to the shape of the original resistivity signal. 2008 artículo científico 1993-8012 https://www.redalyc.org/articulo.oa?id=223515953003 en http://www.redalyc.org/revista.oa?id=2235 Minería y Geología application/pdf Universidad de Moa Dr. Antonio Núñez Jiménez Minería y Geología (Cuba) Num.1 Vol.24 |
| title | The auto-regressive modeling approach applied to denoise moroccan resistivity data phosphate disturbances map |
| topic | Ciencias de la Tierra auto model Morocco phosphate filtering |
| url | https://www.redalyc.org/articulo.oa?id=223515953003 |