A novel imaging method for crosshole radio imaging (RIM) data: Complex permittivity inversion
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Bibliographic record
Abstract
The radio imaging method (RIM) is a cross-hole imaging method that uses radio-frequency electromagnetic waves to delineate the electric properties in the borehole plane. In this paper, we describe the two-dimensional (2-D) complex permittivity inversion method of interpreting RIM data and use synthetic data to test its efficacy. The method is based on forward modeling using the moment method. The total electric field is divided to the incident field and the secondary fields, where the latter is assumed to be the integral of radiated fields from the coupling currents in the model. A set of equations for the total fields are built in the model domain and solved to calculate the electric fields on the model, and then the fields at the receiver. The solution process involves iteratively updating the model using a linear relation with the data misfit. This algorithm was tested with 3-D synthetic data generated using the finite-element modeling tool Comsol Multiphysics and compared with the straight-ray method commonly used in mining exploration. Two sets of experiments were carried out: 1) a rectangular prism model, and 2) models of different lengths extending from one borehole. The results show that this method provides much better images than those obtained using the straight-ray method, with more coherent results for different frequencies and the shapes of the anomalies are more accurately shown. Presentation Date: Tuesday, October 18, 2016 Start Time: 10:20:00 AM Location: 168 Presentation Type: ORAL
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it