Bibliographic record
Abstract
Technology Focus The rapid growth in interest and in development activities related to unconventional oil and gas resources, including heavy oil, is clearly evident throughout the industry. One outcome has been a tremendous increase in the number of SPE papers written this past year on various topics associated with development and recovery optimization of heavy-oil reservoirs. Another is that petroleum-engineering departments at many more universities worldwide are actively engaged in teaching courses and performing research related directly to viscous- and/or heavy-oil recovery. One topic in particular has gained more attention: development and application of enhanced thermal-recovery methods that use various solvents as a means to improve recovery and to reduce operating costs significantly relative to conventional thermal projects. Continued knowledge development in this subject area through a combination of reservoir-scale physics and chemical-process analysis, simulation-capability advancement, laboratory testing, and field-piloting work is needed to enable operators to design and implement these methods effectively and commercially, especially for viable development of thinner, lower-quality heavy-oil reservoirs. One synopsis paper and a reading paper were selected to provide further insights regarding the potential and the challenges associated with the use of solvent-recovery techniques in such applications. The other papers were chosen to illustrate the variety and significance of the challenges operators may encounter in assessing and/or pursuing the development of heavy-oil reservoirs under different settings and conditions. These include various problems that had to be dealt with during testing of a heavy-oil well in an offshore location; the many planning issues, design tradeoffs, and performance considerations associated with the sequencing and conversion of a heavy-oil-field development from cold to hot production; the difficulties experienced in planning and conducting pilot operations in a high-viscosity oil field overlain by thick permafrost in the Russian Arctic; and the ability to achieve adequate recovery with steaming of fractured carbonate reservoirs. Recent literature also describes several interesting technology developments, modeling studies, and field-trial activities related to the use of in-situ combustion and electrical-heating methods as alternative heavy-oil-recovery techniques. Several additional papers present results from investigations of CO2 injection into heavy-oil or bitumen reservoirs to achieve both improved oil recovery and greenhouse-gas sequestration, while many others describe new developments and/or field experiences involving waterflooding and polymer flooding of heavy-oil reservoirs. The many papers written on these topics can be sourced through OnePetro. Recommended additional reading at OnePetro: www.onepetro.org. SPE 146671 A Semianalytical Approach for Estimating Optimal Solvent Use in a Solvent-Aided SAGD Process by Subodh Gupta, SPE, Cenovus Energy, et al. SPE 149917 Approaches to Development of High-Viscosity Oil Fields in Arctic Conditions by Example of the Russkoe Field by I. Edelman, OJSC TNK-BP Management, et al. SPE 150692 A New Perspective on Tracking Energy Transfer in SAGD Derived From 3D Numerical Field-Scale Simulations by C.C Ezeuko, SPE, University of Calgary, et al. SPE 144524 Recovery Mechanism of Steam Injection in a Carbonate Reservoir by Guo-Qing Tang, SPE, Chevron, et al. SPE 148966 Analysis of the First CHOPS Pilot for Heavy-Oil Production in Kuwait by Tirtharenu Sanyal, Kuwait Oil Company, et al. SPE 148917 Effect of Methane Coinjection in SAGD—Analytical and Simulation Study by Jyotsna Sharma, SPE, University of Calgary, et al.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.246 | 0.097 |
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 source (direct Gemma or distilled Codex), 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".