3D Seismics and Isotopic Analysis Provides Constraints on the Origin of Methane in the Earths Deep Subsurface.
Bibliographic record
Abstract
Summary Understanding and quantifying the sources of methane (CH4) in sedimentary environments is critical for studies of climate change, biogeochemical cycling, energy exploration, and for the mitigation of risks posed by methane explosions in deep mining environments. It was first suggested that the gases in deep gold mines of the Witwatersrand Basin (South Africa) were biogenic, that is, they originated from shallow coal deposits in the basin and were transported as dissolved phases in groundwater into the underlying strata via cross-cutting faults and igneous dykes. However, the integration of 3D seismic data with underground mapping data, gas compositions, hydrogen and carbon isotope signatures provide the new evidence for the abiogenic origin of the methane gas. This holistic approach has further demonstrated that the faults, dykes and fracture systems, as well as compositional variation, hydrogen and carbon isotopic analysis play an important role in unravelling the origin of methane gas in Earth’s deep subsurface, as well as in understanding the methane-water-transportation mechanism.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".