Potential analysis of in-situ hydrogen generation in narrow reservoir with alternating steam-oxygen injection
Why this work is in the frame
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Bibliographic record
Abstract
The growing demand for carbon-neutral energy has driven advances in clean energy utilization and hydrocarbon conversion. This study introduces a novel in-situ hydrogen generation method using steam–oxygen alternating injection and high-temperature thermal reactions within a heterogeneous reservoir model. The workflow integrates WinProp/CMG thermal–reaction simulation with three sub-models that capture porosity–permeability contrasts, saturation variations, and fault barriers. Before gas breakthrough, the system maintains 600–800 ℃ with a hydrogen yield of 1781.3 m 3 per m 3 of fossil fuel and 34.94 % oil recovery. Sub-model 1 shows that fault-induced breakthrough delay extends the hydrogen-generation period, reaching a peak of 2221.7 m 3 at approximately 700 ℃. A categorical operating window emerges: below 600 ℃ favours combustion-dominated reactions, while above 800 ℃ accelerates coke oxidation and suppresses H 2 yield. After a breakthrough, continued O 2 injection lowers temperature and sharply reduces productivity, emphasizing the importance of thermal management and cycle timing. Compared with conventional underground coal gasification, alternating injection improves hydrogen recovery by 8.8 % and reduces greenhouse gas emissions by 8.2–15.6 % by suppressing H 2 and CO combustion. 3D simulations reveal conical cavity growth driven by pressure gradients and fault-moderated continuity, supporting the feasibility of screening for unconventional settings.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 it