Assessment and Development of the Dry Horseshoe Canyon CBM Play in Canada
Why this work is in the frame
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Bibliographic record
Abstract
Abstract This paper discusses how the Horseshoe Canyon coalbed methane (CBM) play in Western Canada was converted from an under-explored, non-commercial resource to a major commercial play through the application and modification of technology and analysis techniques from other basins, and how this play is being developed today. As of December 2004, production from the Horseshoe Canyon CBM play is estimated to be over 100 MMscfd of gas, with future production expected to grow significantly. The first commercial developments were completed in 2003 and 2004, and drilling is increasing and expected to exceed 3,000 wells per year in 2005.1 The Horseshoe Canyon CBM play covers a large geographic area of 200 miles by 50 miles, and exists in a large, complex vertical section with numerous coal, sand, silt, shale and mudstone layers. In addition, the play is naturally under-pressured, and the coal beds are mostly dry. Because of these complex and unique characteristics, assessment of commercial viability and development optimization can be confusing and only applicable over small parts of the play. MGV Energy, Inc. (a wholly-owned subsidiary of Ft. Worth-based Quicksilver Resources, Inc.) and its initial joint venture (JV) partner, PanCanadian Petroleum Limited (now EnCana Corp.), discovered the techniques to achieve commerciality and pioneered many of the practices used by industry today for Horseshoe Canyon CBM development. In this paper, we discuss identification of the reservoir opportunity, including data acquisition and analysis. We describe geologic and reservoir models, and production forecasting methods. We also cover completion and production practices, spacing optimization and reserves estimation procedures.
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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 it