Production Data Analysis of Horizontal Wells Using Vertical Well Decline Models, a Field Case Study of an Oil Field
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Production decline analysis is the analysis of past trends of declining production performance to estimate hydrocarbon in place and determination of reservoir parameters. In this paper a case study on an oil field is carried out by performing decline curve analysis to see whether conventional decline models developed for vertical wells are also suitable for horizontal wells. Results demonstrated that Blasingame's radial model yields best results for permeability and skin while material balance analysis estimates best values for oil in place and drainage area. Also, it demonstrates power and simplicity of these methods in the absence of well test data. Keywords: Decline curve analysishorizontal wellspermeabilityreserve estimationskin factorView correction statement:Corrigendum
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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 | 0.001 | 0.002 |
| 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