Bibliographic record
Abstract
Diversity makes us stronger. I attended SPE's Annual Technical Conference and Exhibition last fall in Calgary and participated in a session entitled "Gender Equality in the Oil and Gas Industry - Achieving United Nations Sustainable Development Goal 5." It was a new experience for me to be part of a minority in a diverse room. Since then, I have reflected on how diversity makes us stronger. Our SPE president, Shauna Noonan, is inspiring us to "Strengthen the Core." Many of our organizations are challenging us to be more diverse; such companies have proven to be more engaging and deliver better financial results. Our teams and our technical communities also deliver superior results with diverse membership. Cementing and zonal isolation continues to be a key topic at our SPE conferences. This year, excellent papers have been presented, augmenting our knowledge and responding to the challenges of complex wells and efficiency requirements. At the same time as we "Strengthen the Core," we continue to focus on design, delivery, and evaluation of cementing operations. The selected readings include topics of design, execution, and evaluation. Cementing design is challenged in the continued investigation of materials and additives. Paper SPE 193538 poses a solution where smart vesicles are used to modify the release of chemical additives into cement. Operations are also evolving as offline cementing is becoming common. Paper SPE 196600 discusses how offline cementing can be used to save rig time. Evaluation of cement jobs continues to be an important topic, and paper SPE 199578 validates ultrasonic evaluation techniques in simulated downhole well conditions. Extra reading includes lost circulation, expanding cements, and plug and abandonment operations.I am pleased to note that each of these excellent papers includes at least one woman on the author team. In fact, one of the papers is authored by Kristin Kutchak, who has been recognized as an Outstanding Young Professional in SPE. I challenge all of us to strengthen our papers, technical teams, and organizations by continuing to include diverse populations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.118 | 0.040 |
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 source (direct Gemma or distilled Codex), 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".