Spudding Collaboration: PTAC's Role In Canadian Natural Gas Resource Development
Bibliographic record
Abstract
Abstract Created in 1996, the Petroleum Technology Alliance Canada (PTAC) has sought to bring a collaborative approach to technology development and deployment. Several factors have contributed to the surge in development of natural gas from coal in Canada since 2003, but underlying them all was the collaborative groundwork, information exchange, and research commitments fostered years earlier. Continued efficient natural gas development will depend on a future fueled by entrepreneurial initiative, but ably backstopped by the collaborative ethos. Introduction There is no doubting the need to make the development of Canada's natural gas resources more efficient. Once a resource that seemed practically limitless, Canada's conventional natural gas production is suddenly well beyond its peak. The easy gas is going, going, gone. Increasingly, our natural gas is found in difficult- to-produce rock formations requiring special completion, stimulation, or production techniques to achieve economic production. On the demand side, gas is gas is gas: it all commands the same market price. But on the supply side, we're counting on economic recovery of natural gas from coal beds, tight sands, and organic shales to supplement conventional reserves. Further, we'll be dependent on the viability of natural gas recovery in the harshest of environments: the Mackenzie Delta and the East Coast offshore, to name just two. This challenge lands on our lap at a moment in time when Canadian research, development, and demonstration (RD&D) efforts cannot be described as auspicious. Over the years, technology has earned a stellar track record in oil and gas, and Canadians have shown leadership in the deployment of petroleum technology. Our successful development of Alberta's oil sands, and our progress in the Arctic prior to Justice Berger's recommendation of a moratorium on pipeline construction(1), are two outstanding examples. But since the late 1980s, private and public sector R&D funding, particularly in conventional oil and gas exploration and production, has been in the doldrums. In a period when economic activity in the sector expanded threefold, R&D investment from private and public sources dropped by two-thirds; the victim of several factors including the Western Canada Sedimentary Basin's "harvest" mentality as well as merciless commodity price-driven activity cycles(2). Vice-Presidents With a Mission Enter a group of industry vice-presidents on a mission. The Vice Presidents Breakfast Club, an informal Calgary-based organization of senior executives from two dozen oil and gas companies, broached the R&D issue in 1994 and concluded that a new model was required in the Canadian industry(3). Believing that technology development would greatly benefit from collaboration, the VPs commissioned a study to examine the topic in detail. One of the day's most respected authorities on exploration and production, Murray Todd, took the pulse of industry and delivered a report highly supportive of collaborative technology development. Wrote Todd: "There is general agreement among the people involved in this study on the principal characteristics of a new collaborative research model.
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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 | 0.022 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.046 | 0.011 |
| Scholarly communication | 0.017 | 0.006 |
| Open science | 0.004 | 0.016 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.027 | 0.002 |
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".