Multizone Well Testing with Downhole Tools in Extreme Sour-Gas Conditions
Bibliographic record
Abstract
Abstract A recently drilled appraisal well in a multilayered carbonate reservoir was successfully tested using downhole tools in very hostile downhole conditions. While the reservoir pressure and temperature were not excessive, the combined concentrations of hydrogen sulfide (H2S) and carbon dioxide (CO2) were well above anything that has been tested in the past with similar tools. Four different zones were tested individually using a fit-for-purpose test design, which allowed for testing two zones per trip. The services included downhole tools for shut-in and well-control purposes, bottomhole samplers, memory gauges, through-tubing perforating and coiled-tubing intervention through the test string to acid stimulate, N2 lift, and set cement plugs between zones. The use of the downhole test string provided the means to carry out a complete well test with downhole shut-in and sampling controlled from the surface. The operational flexibility offered by the string allowed for all operations to be successfully performed even with lengthy exposures of the tools to sour fluids. This appraisal well is one of a series of wells drilled in this area but the first one in which very extensive data acquisition has been acquired thanks to a detailed well-test procedure and job planning. This test required a significant amount of prejob planning, in addition to attention to detail in the execution and onsite preparation and maintenance. Our paper describes the test requirements, the prejob planning, and the execution that led to the successful completion of this well test in very hostile conditions, the first of its kind in this part of the world.
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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".