A fast imaging method for the interpretation of self-potential data with application to geothermal systems and mineral investigation
Abstract We describe a rapid imaging approach for the interpretation of self-potential data collected along profile by some geometrically simple model of cylinders and spheres. The approach calculates the correlation coefficient between the analytic signal (AS) of the observed self-potential measure...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-08-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-39672-8 |
| _version_ | 1797452621298008064 |
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| author | Salah A. Mehanee Khalid S. Essa Khaled S. Soliman Zein E. Diab |
| author_facet | Salah A. Mehanee Khalid S. Essa Khaled S. Soliman Zein E. Diab |
| author_sort | Salah A. Mehanee |
| collection | DOAJ |
| description | Abstract We describe a rapid imaging approach for the interpretation of self-potential data collected along profile by some geometrically simple model of cylinders and spheres. The approach calculates the correlation coefficient between the analytic signal (AS) of the observed self-potential measurements and the AS of the self-potential signature of the idealized model. The depth, electric dipole moment, polarization angle, and center are the inverse parameters we aim to extract from the imaging approach for the interpretative model, and they pertain to the highest value of the correlation coefficient. The approach is demonstrated on noise-free numerical experiments, and reproduced the true model parameters. The accuracy and stability of the proposed approach are examined on numerical experiments contaminated with realistic noise levels and regional fields prior to the interpretation of real data. Following that, five real field examples from geothermal systems and mineral exploration have been successfully analyzed. The results agree well with the published research. |
| first_indexed | 2024-03-09T15:11:17Z |
| format | Article |
| id | doaj.art-ebb86aa6bea04fefaadc641ae7b1395e |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-09T15:11:17Z |
| publishDate | 2023-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-ebb86aa6bea04fefaadc641ae7b1395e2023-11-26T13:23:34ZengNature PortfolioScientific Reports2045-23222023-08-0113112310.1038/s41598-023-39672-8A fast imaging method for the interpretation of self-potential data with application to geothermal systems and mineral investigationSalah A. Mehanee0Khalid S. Essa1Khaled S. Soliman2Zein E. Diab3Department of Geophysics, Faculty of Science, Cairo UniversityDepartment of Geophysics, Faculty of Science, Cairo UniversityDepartment of Geophysics, Faculty of Science, Cairo UniversityDepartment of Geophysics, Faculty of Science, Cairo UniversityAbstract We describe a rapid imaging approach for the interpretation of self-potential data collected along profile by some geometrically simple model of cylinders and spheres. The approach calculates the correlation coefficient between the analytic signal (AS) of the observed self-potential measurements and the AS of the self-potential signature of the idealized model. The depth, electric dipole moment, polarization angle, and center are the inverse parameters we aim to extract from the imaging approach for the interpretative model, and they pertain to the highest value of the correlation coefficient. The approach is demonstrated on noise-free numerical experiments, and reproduced the true model parameters. The accuracy and stability of the proposed approach are examined on numerical experiments contaminated with realistic noise levels and regional fields prior to the interpretation of real data. Following that, five real field examples from geothermal systems and mineral exploration have been successfully analyzed. The results agree well with the published research.https://doi.org/10.1038/s41598-023-39672-8 |
| spellingShingle | Salah A. Mehanee Khalid S. Essa Khaled S. Soliman Zein E. Diab A fast imaging method for the interpretation of self-potential data with application to geothermal systems and mineral investigation Scientific Reports |
| title | A fast imaging method for the interpretation of self-potential data with application to geothermal systems and mineral investigation |
| title_full | A fast imaging method for the interpretation of self-potential data with application to geothermal systems and mineral investigation |
| title_fullStr | A fast imaging method for the interpretation of self-potential data with application to geothermal systems and mineral investigation |
| title_full_unstemmed | A fast imaging method for the interpretation of self-potential data with application to geothermal systems and mineral investigation |
| title_short | A fast imaging method for the interpretation of self-potential data with application to geothermal systems and mineral investigation |
| title_sort | fast imaging method for the interpretation of self potential data with application to geothermal systems and mineral investigation |
| url | https://doi.org/10.1038/s41598-023-39672-8 |
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