Pressure Testing of Segmented Horizontal Wells in Anisotropic Composite Reservoirs
Bibliographic record
Abstract
Abstract Advances in technology have provided better ways to handle production problems like premature gas or (and) water breakthrough in the field. Selectively shutting-in wells to bypass flow from these thief zones has been made possible using selective completion and inflow control devices (ICD). These practices make the horizontal well behave as if it were segmented. Although pressure transient studies on segmented horizontal wells exist, they do not incorporate the flexibility of shutting well segments at any time as experienced in the field. This work proposes a robust three dimensional analysis of arbitrarily oriented horizontal well segments in anisotropic reservoir; these segments can be shut-in at any time independent of other segments. After solving the flow equations, a point source solution is obtained which is then converted to a line source solution for horizontal wells in clastic reservoirs by integrating over the producing length of the well segments. An arbitrary orientation for the horizontal well is adopted to obtain a general solution in an anisotropic system. From the line source solution, type-curves are generated. This study analyses the effect of selective well completion, number of well segments present, segment length ratios, permeability anisotropy and reservoir dimension on the resulting pressure derivative signature. This work attempts assymptotic flow regime analysis for reservoir parameter estimation and the proposed model matches examples from commercial simulator. The result of this work is attractive when analyzing pressure data from intelligent horizontal wells that can be selectively shut-in and selectively put on production.
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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".