A Novel Enhanced Total Gradient (ETG) for Interpretation of Magnetic Data
Edge detection techniques identify the horizontal extents of the underground geological bodies and work well in association with magnetic as well as seismic data. Even though the detected edges might not be a lithological contact, they offer first-hand information regarding various rocks that ultima...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-11-01
|
| Series: | Minerals |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-163X/12/11/1468 |
| _version_ | 1797464520657993728 |
|---|---|
| author | Korimilli Naga Durga Prasad Luan Thanh Pham Anand P. Singh Ahmed M. Eldosouky Kamal Abdelrahman Mohammed S. Fnais David Gómez-Ortiz |
| author_facet | Korimilli Naga Durga Prasad Luan Thanh Pham Anand P. Singh Ahmed M. Eldosouky Kamal Abdelrahman Mohammed S. Fnais David Gómez-Ortiz |
| author_sort | Korimilli Naga Durga Prasad |
| collection | DOAJ |
| description | Edge detection techniques identify the horizontal extents of the underground geological bodies and work well in association with magnetic as well as seismic data. Even though the detected edges might not be a lithological contact, they offer first-hand information regarding various rocks that ultimately offers an extra argument for existing tectonics. Most of the edge enhancement techniques depend either on the horizontal gradient or total gradient of the potential fields. As of now, no single edge detection filter performance is best in all conditions. The study proposes a novel edge detection filter called “ETG-Enhanced Total Gradient” that combines the derivatives of the analytic signal (AS) (in the third dimension). The maximum amplitude of the AS is less dependent of the direction of magnetization and is critical in mapping the borders of the buried magnetic sources beneath the Earth. As the ETG filter is based on the total gradient of the field, there is no need to apply reduction to the pole process on the magnetic data. One limitation of the method is that the filter is unable to perform better at the corners where the other conventional methods miserably failed. The filter’s behavior is examined and validated using 2D and 3D synthetic magnetic data. The reliability of the ETG filter is examined by applying it to the magnetic data of the Seattle uplift region, USA. A new structural map of the region is generated by using the proposed ETG filter. The observed peak response of the ETG filter is well correlated with major tectonic features such as the Seattle Fault Zone (SFZ), Hood Canal Fault (HCF), and Dewatto Fault (DF). |
| first_indexed | 2024-03-09T18:08:20Z |
| format | Article |
| id | doaj.art-da2316539953469ea0602e7224911549 |
| institution | Directory Open Access Journal |
| issn | 2075-163X |
| language | English |
| last_indexed | 2024-03-09T18:08:20Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Minerals |
| spelling | doaj.art-da2316539953469ea0602e72249115492023-11-24T09:18:49ZengMDPI AGMinerals2075-163X2022-11-011211146810.3390/min12111468A Novel Enhanced Total Gradient (ETG) for Interpretation of Magnetic DataKorimilli Naga Durga Prasad0Luan Thanh Pham1Anand P. Singh2Ahmed M. Eldosouky3Kamal Abdelrahman4Mohammed S. Fnais5David Gómez-Ortiz6Gravity and Magnetic Studies Group, CSIR-National Geophysical Research Institute, Uppal Road, Hyderabad 500007, IndiaFaculty of Physics, University of Science, Vietnam National University, Hanoi 100000, VietnamGravity and Magnetic Studies Group, CSIR-National Geophysical Research Institute, Uppal Road, Hyderabad 500007, IndiaGeology Department, Faculty of Science, Suez University, Suez 43518, EgyptDepartment of Geology and Geophysics, College of Science, King Saud University, Riyadh 11451, Saudi ArabiaDepartment of Geology and Geophysics, College of Science, King Saud University, Riyadh 11451, Saudi ArabiaDepartment of Biology and Geology, Physics and Inorganic Chemistry, ESCET, Universidad Rey Juan Carlos, 28032 Móstoles, Madrid, SpainEdge detection techniques identify the horizontal extents of the underground geological bodies and work well in association with magnetic as well as seismic data. Even though the detected edges might not be a lithological contact, they offer first-hand information regarding various rocks that ultimately offers an extra argument for existing tectonics. Most of the edge enhancement techniques depend either on the horizontal gradient or total gradient of the potential fields. As of now, no single edge detection filter performance is best in all conditions. The study proposes a novel edge detection filter called “ETG-Enhanced Total Gradient” that combines the derivatives of the analytic signal (AS) (in the third dimension). The maximum amplitude of the AS is less dependent of the direction of magnetization and is critical in mapping the borders of the buried magnetic sources beneath the Earth. As the ETG filter is based on the total gradient of the field, there is no need to apply reduction to the pole process on the magnetic data. One limitation of the method is that the filter is unable to perform better at the corners where the other conventional methods miserably failed. The filter’s behavior is examined and validated using 2D and 3D synthetic magnetic data. The reliability of the ETG filter is examined by applying it to the magnetic data of the Seattle uplift region, USA. A new structural map of the region is generated by using the proposed ETG filter. The observed peak response of the ETG filter is well correlated with major tectonic features such as the Seattle Fault Zone (SFZ), Hood Canal Fault (HCF), and Dewatto Fault (DF).https://www.mdpi.com/2075-163X/12/11/1468magneticseismic data imagingenhancement filteredge detectionanalytic signalSeattle uplift |
| spellingShingle | Korimilli Naga Durga Prasad Luan Thanh Pham Anand P. Singh Ahmed M. Eldosouky Kamal Abdelrahman Mohammed S. Fnais David Gómez-Ortiz A Novel Enhanced Total Gradient (ETG) for Interpretation of Magnetic Data Minerals magnetic seismic data imaging enhancement filter edge detection analytic signal Seattle uplift |
| title | A Novel Enhanced Total Gradient (ETG) for Interpretation of Magnetic Data |
| title_full | A Novel Enhanced Total Gradient (ETG) for Interpretation of Magnetic Data |
| title_fullStr | A Novel Enhanced Total Gradient (ETG) for Interpretation of Magnetic Data |
| title_full_unstemmed | A Novel Enhanced Total Gradient (ETG) for Interpretation of Magnetic Data |
| title_short | A Novel Enhanced Total Gradient (ETG) for Interpretation of Magnetic Data |
| title_sort | novel enhanced total gradient etg for interpretation of magnetic data |
| topic | magnetic seismic data imaging enhancement filter edge detection analytic signal Seattle uplift |
| url | https://www.mdpi.com/2075-163X/12/11/1468 |
| work_keys_str_mv | AT korimillinagadurgaprasad anovelenhancedtotalgradientetgforinterpretationofmagneticdata AT luanthanhpham anovelenhancedtotalgradientetgforinterpretationofmagneticdata AT anandpsingh anovelenhancedtotalgradientetgforinterpretationofmagneticdata AT ahmedmeldosouky anovelenhancedtotalgradientetgforinterpretationofmagneticdata AT kamalabdelrahman anovelenhancedtotalgradientetgforinterpretationofmagneticdata AT mohammedsfnais anovelenhancedtotalgradientetgforinterpretationofmagneticdata AT davidgomezortiz anovelenhancedtotalgradientetgforinterpretationofmagneticdata AT korimillinagadurgaprasad novelenhancedtotalgradientetgforinterpretationofmagneticdata AT luanthanhpham novelenhancedtotalgradientetgforinterpretationofmagneticdata AT anandpsingh novelenhancedtotalgradientetgforinterpretationofmagneticdata AT ahmedmeldosouky novelenhancedtotalgradientetgforinterpretationofmagneticdata AT kamalabdelrahman novelenhancedtotalgradientetgforinterpretationofmagneticdata AT mohammedsfnais novelenhancedtotalgradientetgforinterpretationofmagneticdata AT davidgomezortiz novelenhancedtotalgradientetgforinterpretationofmagneticdata |