Improved calibration and inversion of electromagnetic induction data
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| Title: | Main Title: Improved calibration and inversion of electromagnetic induction data |
| Description: | Abstract: Electromagnetic induction (EMI) systems are said to operate under the low induction number (LIN) approximation that converts the measured magnetic field into an apparent electrical conductivity (ECa). In general, the recorded ECa values are used to characterize the shallow subsurface. However, any external current-conducting media influence the measurements and cause a shift in the recorded ECa, which hinders a quantitative interpretation. To obtain accurate EMI data, we propose a new conversion method, investigate external influences and show how to calibrate the measurements. The correct ECa conversion (EEC) accurately transfers the magnetic field ratios into ECa, while the LIN-based conversion performs inaccurately. Hence, EEC is the preferred method. We show that the operator and/or the field setup strongly influence the measurements (data shifts up to 10 mS/m). We also show that the calibration works only when the ECa data range along a calibration line exceeds at least 1.5 mS/m and when the electrical conductivity of the ground is higher than 5 mS/m. And finally we incorporate the EEC into a sophisticated EMI inversion scheme and show that EEC outperforms LIN based conversion. The suggested methods provide several advantages: Incorporating the EEC method into computing solutions or possibly into measurement systems enhances accuracy; recognizing the data shifts leads to better subsurface characterizations; and calibration enables quantitative statements about the research area. Hence, the presented procedures lead to more reliable EMI data and will improve the EMI method. |
Responsible Party
| Creator: | Christian von Hebel (Author) |
| Publisher: | CRC/TR32 Database (TR32DB) |
| Publication Year: | 2016 |
Topic
| TR32 Topic: | Soil |
| Related Subproject: | B6 |
| Subjects: | Keywords: Soil, PhD Report |
File Details
| Filename: | CvH_EMI_report4.docx |
| Data Type: | Text - Text |
| File Size: | 127 KB |
| Date: | Valid: 13.08.2013 |
| Mime Type: | application/vnd.openxmlformats-officedocument.wordprocessingml.document |
| Data Format: | MS word |
| Language: | English |
| Status: | Completed |
Constraints
| Download Permission: | Only Project Members |
| General Access and Use Conditions: | According to the TR32DB data policy agreement. |
| Access Limitations: | According to the TR32DB data policy agreement. |
| Licence: | [TR32DB] Data policy agreement |
Geographic
Specific Information - Report
| Report Date: | 1st of April, 2014 |
| Report Type: | PhD Report |
| Report City: | Juelich |
| Report Institution: | IBG-3 |
| Further Information: | figures that belong to text |
Metadata Details
| Metadata Creator: | Christian von Hebel |
| Metadata Created: | 12.10.2016 |
| Metadata Last Updated: | 12.10.2016 |
| Subproject: | B6 |
| Funding Phase: | 2 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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| Page Visits: | 704 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 0 |
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