Recent Advances in the Modeling and Mitigation of AC Interference in Pipelines
Bibliographic record
Abstract
Abstract The design of mitigation to reduce AC interference levels in a pipeline is a relatively straightforward matter when the mitigation can be installed with the pipeline, at the bottom of the trench. On the other hand, retrofitting introduces design challenges, which are discussed in this paper. For one thing, the depth of burial of gradient control wires running parallel to the pipeline is often limited by practical considerations: as a result, the effectiveness of these wires is reduced by soil freezing in northern climes. A second problem is the frequent need to interrupt the gradient control wires at road crossings, water bodies, wetlands, and other such obstacles. The level of protection is obviously compromised to some degree at such locations. It is found that consideration of the exponentially decreasing nature of soil resistivity with depth, during frozen conditions, can result in a dramatically improved assessment of mitigation performance. It is also found that, depending upon the soil structure, gaps of tens of meters in otherwise continuous gradient control wires may yield acceptable performance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".