Bibliographic record
Abstract
Technology development is a key component of oil sands tailings management. As new needs arise from production demands, increasing environmental standards, heightened regulatory vigilance and cost saving imperatives, technology must be developed to meet those needs. The development of tailings technology has become a time- and resource-intensive process, with no guarantees that the investment will lead to a commercially viable product. The demand for a robust technology development process was recognised as key to the development of Tailings Development Roadmaps for the Alberta Innovates – Energy and Environment Solutions (AI-EES) project. One of the key components of the project was to deliver a tailings technology development model that would serve as a guideline for technology development within the oil sands tailings industry. In providing a framework for technology development, valuable resources are carefully integrated so as to enhance the prospects for success, while reducing risks and delays. This paper describes an 18 step iterative technology development model, developed through a literature review of technology development within international mining and other industries and tailings sectors, consultation with oil sands tailings industry experts, and a specialist workshop. The 18 steps are integrated into four stages of development: Formulation and Mobilisation; Research; Development; Commercial Implementation. Each stage and each step is defined in terms of priorities, goals, pitfalls, roadblocks and remedies along the technology development path, with essential iterations and linkages to other steps. The ultimate goal of the model is to reduce the number of promising tailings technologies that fail, to identify potential fatal flaws as early as possible in the development cycle, and to focus the investment of time, funding and valuable resources on the most rewarding technologies. In presenting this model, it is the authors’ hope that other tailings sectors may benefit from the insights gained in the oil sands, to provide scrutiny of the model proposed, and offer additional learning which may add further value to tailings technology development worldwide, and particularly in the paste tailings community.
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".