Advancements in Efficiency in Horn River Shale Stimulation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract In the remote Horn River Shale of North East British Columbia, Canada the key challenge operators’ face is high costs related to completions in the horizontal wells. A strategy was developed to focus on efficiency improvements to make a positive impact on the economics. Previous projects were examined and a two prong approach was developed: first we needed to procure as many extra resources as could be anticipated to ensure continuous operations, and second we would have to have more than one critical path operation simultaneously so that costly activities could continue uninterrupted. The resource planning includes the drilling of multiple wells on the pad and having most of the wells available for operations during the stimulation campaign. It also includes specially designed equipment such as bulk sand handling equipment, water handling, slurry handling, wellhead protection, SCADA systems and custom flow back equipment. In addition, new ways of managing the human resources at the site were implemented. To manage the critical path activities, a protocol was developed to manage surface and down hole interactions. A safety system was developed to support the integration of these challenging operations. An offsite real time operations room was employed were all the sensor data from the site was available, including frac data, water and sand supply, pressure and H2S. The resulting impact on efficiency will be discussed in detail, including reaching a field frac efficiency record for the Horn River.
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.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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