An Economic Assessment of Using Aqua Pure Technologies’ PROH2O® System to Treat Produced Fluids from Hydraulic Fracturing Operations for Reuse in Alberta, Canada
Bibliographic record
Abstract
As conventional forms of oil and gas mature, unconventional resources are becoming desirable. Unconventional resources, found in tight rock formations, require hydraulic fracturing to extract the resource. Large quantities of water are required and produce vast amounts of contaminated wastewater. Currently, wastewater must be locked away permanently, deep underground. This paper provides an economic assessment of using Aqua Pure Technologies’ PROH2O® system to treat wastewater for reuse. The aim is threefold; can the impact on water resources be reduced, can cost savings be achieved, and should Dragos Energy Corporation initiate investment in the technology? To complete the economic assessment, a hypothetical hydraulic fracturing operation is modeled and analyzed. Although a number of assumption have been made to complete this analysis, the author shows that the technology can be used to create significant economic and environmental benefits which could lead to a competitive advantage for Dragos Energy Corporation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".