Bibliographic record
Abstract
Abstract Sorption, strain, and flow-related laboratory experiments combined with numerical modeling have been conducted with CO 2and other gases, including N 2, CH 4, H 2, H 2S, and SO 2on a variety of coal cores and coal powders to investigate the interplay of the parameters controlling storage, migration, and permeability changes during sequestration. The experiments include sorption isotherms, volumetric swelling or shrinkage of coal matrix during sorption (with a variety of gases on solid coal cores), N 2flow-through experiments on CH 4-saturated coal cores, and N 2effects on permeability. The order of adsorption capacity for a given coal in ascending order was H 2< N 2< CH 4< CO 2< H 2S < SO 2. The ratio of adsorptive capacity of the gases to various coals is rank dependent, which our experiments show is mainly attributable to declining moisture content with increasing coal rank. In low volatile bituminous rank coals, the ratio of CO 2to CH 4adsorption capacity at a given pressure is about 2:1, but this is about 10:1 in subbituminous coals. Moisture content in the coal reduces the adsorption capacity of CH 4whereas increased adsorption capacity was observed with CO 2, H2S, and SO2 with increasing moisture content. Because these gases have high Henry’s solubility coefficient, moisture from the coal micropore surface is stripped off to react with gases making moisture-occupied sorption sites available for the gases to adsorb resulting high adsorption capacity with high-moisture coals. Sorption-related strain experiments with N 2, CH 4, CO 2, and H2S show that adsorption of gases on coal causes swelling of the coal matrix, which is directly proportional to the amount of gas adsorbed onto the coal and hence increases with rank. The average volumetric strain of the samples tested in decreasing order is H 2S (2.5 × 10 –3g/cm 3)> CO 2(9.9 × 10 –4g/cm 3)>CH 4(6.9 × 10 –4g/cm 3)>N 2(3.1 × 10 –4g/cm 3). Adsorption of CO 2relative to CH 4causes a relatively higher volumetric strain of the coal matrix and in turn reduces cleat permeability causing significant reduction in the sequestration capacity into coalbeds. Injection of N 2into coalbed significantly improves the permeability while displacing the CH 4because of its lower adsorption and associated swelling. Our experiments with associated analytical and numerical modeling using real data clearly indicate that sequestering pure CO 2into most coal seams results in volumetric strain and associated loss of permeability that quickly inhibit further or significant sequestration. Hence, it is very unlikely that in-situ sequestration of significant amounts of pure CO 2will be possible in any but the most permeable coals such as those of the Powder River Basin. However, mixing of N 2with CO 2significantly enhances the sequestration potential into coalbeds. Based on our results, a new numerical model was developed, which takes into consideration the shrinkage coefficients derived from experimental results with various gases coupled with mechanical properties of rocks, which closely predict the behavior of CO 2sequestration in coalbeds. The N 2flow-through experiments on CH 4-saturated coal cores confirm the modeling results that N 2displaces the methane while inhibiting the permeability reduction because of its low sorption property. However, this process requires a minimum permeability to start with and has to be coupled with the drawdown of CH 4; otherwise N 2sorbs into coalbeds because of increased pressure in the overall system without an associated decrease in the partial desorption of CH 4pressure. Based on our experimental and modeling experience, analytical and numerical solutions provide a good approximation of the behavior of the multicomponent, multiphase flow of gases in coalbeds. However, much more work is required in understanding the sorption behavior of multicomponent gases and their effects on volumetric strain vis-à-vis their sensitivity to permeability on a variety of coals.
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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".