Rehabilitation of an Aged Produced Water System
Bibliographic record
Abstract
Abstract Produced water injection systems are an integral part of many oilfields. Typically they transport produced water from a central pumping facility to a number of injection wells. The two main purposes of produced water systems are to maintain voidage in the reservoir and to maintain reservoir pressure. The subject produced water system was installed in the early 1970’s and was originally internally coated with cement mortar lining (CML). This lining was applied to the main injection lines, laterals and risers. Failures began to occur after about 15 years of service and were due to cracking, spalling and degradation of the CML. These leaks resulted in environmental damage and excessive spill clean up and repair costs. An extensive program to rehabilitate the system was undertaken. The main pipeline sections were re-lined with high-density polyethylene (HDPE); spools and risers were internally coated with fusion bond epoxy (FBE). After about ten years, failures began to occur in the refurbished pipe spools coated with FBE. Coating failures were attributed to inadequate surface preparation, inconsistent coating thickness and improperly installed flange gaskets led to other failures. Due to environmental impact and high clean up costs, and resulting management and regulatory pressure, it was decided to replace all buried spool pieces. Various alternatives such as corrosion resistant alloys, weld overlays and internal lining with HDPE were considered. Organic coatings were again chosen because of their overall past performance and cost. A “holistic” approach was taken to the rehabilitation program. This included the fabrication of complex pieces to make them more “coater friendly”, process changes by the applicator to enable more consistent coating application and a more rigorous specification and inspection program.
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".