Study and Application of Diagnosis Curves of Water Channeling Patterns for Horizontal Well in Bottom-water Heavy Oil Reservoir
Bibliographic record
Abstract
Researches on the water breakthrough patterns and laws of horizontal well are weak. Based on this, a typical model was established by using the geology and reservoir parameters of the heavy oil reservoir with large bottom water in the Bohai Sea. Generally, there are 4 water-out patterns for horizontal well in bottom-water heavy oil reservoir, including punctiform breakthrough waterflooding in a local horizontal section, punctiform breakthrough waterflooding in several local horizontal sections, linear breakthrough waterflooding in the whole horizontal section, and water channeling along high permeability zone. Then, the typical diagnosis curves of these water breakthrough patterns were drawn by studying WOR (water-oil ratio) and its first-order time derivative. However, there are usually value errors in the actual production data, so the interference of noise signals in production data would reduce the accuracy and reliability of water output diagnosis. Using wavelet transform method to denoise dynamic data can simultaneously guarantee both the smoothness and approximation of derivative curves. Finally, the effective measures of different water flooding modes were put forward by the case study of 22 horizontal wells in LD bottom-water reservoir. It has reference significance for efficient development of bottom-water reservoir with horizontal wells in high water cut stage.
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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".