The Lessons Learned From Miscible Gas Flooding in Naturally Fractured Reservoirs: Integrated Studies, and Pilot and Field Cases
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Suitable methods have to be employed for secondary and tertiary oil recovery from the naturally fractured reservoirs (NFRs). The miscible gas injection has shown some promising results for enhancing oil recovery from NFRs. However, proper design of the field-scale miscible gas injection projects in NFRs is still a major challenge. The authors evaluate the technical issues of the miscible gas injection in NFRs. The classification of NFRs and their production characteristics, the mechanisms of oil production in NFRs, and significant findings of integrated studies, pilot and field trials, and commercial field projects of the miscible gas injection in NFRs are reviewed. Finally, important issues are identified, which need detailed investigations for the design and performance assessment of the field projects. It is hoped that this paper will serve as a helpful reference for the engineers interested in miscible gas injection process in NFRs. Keywords: fieldpilotlarge-scale project designmiscible gas injectionnaturally fractured reservoirs
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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