A Study of Completion Effectiveness in the Williston Basin
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 The evolution in oilfield technology to enable the drilling of longer horizontal wells and increased stimulation effectiveness via isolation has resulted in significant productivity gains. The challenges associated with data gathering, increased well count and understanding connectivity of the recently recognized additional reservoir (Three Forks) has generated concerns regarding the development strategy in the Williston Basin. In order to understand a development strategy it is crucial to characterize fracture properties and reservoir properties. A single well model is developed to capture current well performance to understand the impact of the range of fracture geometries and spacing on production performance. Modeling results and fracture pressure data are also presented to demonstrate the effectiveness of fracture initiation techniques, isolation techniques and number of clusters on fracture geometry generation. The paper presents results utilizing single well modeling techniques (using fracture history matching, production history matching and forecasting) to understand and differentiate reservoir quality, reservoir connectivity and completion effectiveness with the aim of understanding the direction in which completion changes must evolve.
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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