Reservoir Pathway Identification in a Fractured Carbonate Heavy Oil Reservoir
Bibliographic record
Abstract
Abstract The first production log in heavy oil in Egypt through y-tool, using a high capacity ESP pump, in an open hole completion was performed recently by Scimitar Production Company in Issaran heavy oil field. The objective of the job was to identify the source of water, evaluate the contributions from the different open hole zones and determine whether or not there is cross flow in this fractured heavy oil carbonate reservoir. These wells had originally not been completed with y-tool. Therefore a special y-tool with high capacity ESP was designed especially for Scimitar by Zenith to be able to log the wells under special dynamic conditions. This was the first application world wide of this y-tool, which was used as a temporary completion in the wells. Production logging (PL) was successfully carried out in 3 Issaran wells at different rates, to identify the high permeability (super-K) layers dominating production and calculate their pressure/PI. Likewise flow profiles were determined and high water producing layers identified. Shut in surveys were successful in detecting cross flowing layers. Calculated flow profile results matched well with surface measured rates. PL results had a significant effect upon the Issaran field development plan. Water was found to be produced from layers having resistivity up to 30 ohm-m. This led to an increase in the resistivity cutoff for hydrocarbon production and a reduction in water cut. Hydrocarbon producing zones were better identified and Scimitar decided to abandon open hole completions in future wells and go in for cased hole completions, in order both to control the water production as well as avoid breakthrough of injected steam. This paper describes the field and gives details on job planning, operations, results and way forward for field re-development.
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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 | 0.001 |
| 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 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".