Installing Low-Cost, Low-Pressure Wellhead Compression on Tight Lobo Wilcox Wells in South Texas: A Case History
Why this work is in the frame
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Bibliographic record
Abstract
Abstract This paper presents a case history of twenty-one low-cost wellhead compressors on tight Lobo Wilcox wells in South Texas. These wells previously produced to area-typical low-pressure gathering systems. Overall the installations showed substantial increases in the gas production rate as well as outstanding composite economics. However, not all installations were successful and failures are examined for lessons learned to improve future applications. Production data on the results of each of the installations are provided. The decision model used to select candidate wells from the 1600 producing wells in the field is also described. Low-cost, low-pressure wellhead compression is presented as a viable artificial lift alternative and in fact the preferred and cheapest alternative in some cases.
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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 | 0.001 |
| 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