A Review of Methods for Confirming Integrity of Thermoplastic Liners - Field Experiences
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Two benefits of using thermoplastic liners in oil and gas pipelines are to provide a barrier between the corrosive production fluids and the steel carrier pipe, and to maintain secondary containment in the event that the liner fails. In the event of a liner failure or breach, it can be detected before the outer steel carrier pipe fails avoiding a potential loss of containment. To demonstrate integrity of the liner throughout its life cycle from construction and installation through commissioning and startup and finally during operations is paramount to having confidence in the ability of the liner to serve these purposes. Several different methods of confirming integrity are used throughout these stages including: visual inspections, pressure testing, annulus pressure monitoring, nondestructive examination and fluid analysis. Based on field experiences with both smooth and grooved thermoplastic liners different methods of demonstrating liner integrity are described and advantages and disadvantages presented.
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.
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) | 0.001 | 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