Case Study: Optimizing Milling Operations within the Canadian Montney Play
Bibliographic record
Abstract
Abstract The Montney Formation is a major shale gas and shale oil producing stratigraphical unit of Lower Triassic age in the Western Canadian Sedimentary Basin in British Columbia and Alberta. The potential resource is estimated at 449 trillion cubic feet of marketable natural gas, 14,521 million barrels of marketable natural gas liquids (NGLs) and 1,125 million barrels of oil. The hydrocarbon resource is unlocked using horizontal drilling followed by various fracture stimulation techniques from 25 to 75+ stages. As stage counts increase and lateral lengths are extended further to stimulate more formation, the challenges of efficiently completing a producing well is a continuous cycle of technique development and equipment improvements. Hydraulic isolation between fracture stimulation stages is established using mechanical methods deployed as an integral part of the production casing string or inserted into the production casing string during the fracture stimulation. In the Montney, the method of ′′plug-and-perf′′ has been the predominant method of isolating stages. The method utilizes highly drillable bridge plugs pumped down and set on wireline followed by explosive jet perforating one or several ‘perf clusters’ during the same wireline run. These perforation intervals are fracture stimulated and the process is repeated for each stage until the lateral is fully stimulated. These drillable bridge plugs are then removed during the post-stimulation drillout phase of the completion to open the production casing for hydrocarbon inflow. This paper is a case study of a 62 well data set in a confined, highly productive area in the Montney resource play. The paper discusses progressive improvement methods and measuring efficiency of post-stimulation drillouts.
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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".