Towards Experimental Measurement of Methane Adsorption Isotherm in Shale Reservoirs
Bibliographic record
Abstract
Unconventional petroleum resources, especially shales, constitute an increasing frontier of reserves additions as conventional production declines. This research is a study to investigate the interactions between shale rocks with gaseous hydrocarbons and mainly uses NMR logging which is a powerful tool to obtain in-situ rock and fluid properties of hydrocarbon reservoirs. In this study, a novel procedure is developed to quantitatively estimate the excess adsorption of gaseous hydrocarbon on shale gas reserves using direct measurements of an in-house built NMR setup. NMR experiments are conducted to measure NMR-porosity, relaxation distribution, and pore size distribution. These measurements are compared at different pressures in porous media with different adsorption capacity. As a result, adsorbed hydrocarbon gas content is estimated, and finally, adsorption isotherm is presented. Additional experiments such as gas expansion porosity and gravimetric adsorption are conducted to validate the new NMR method. In this research, for the first-time Low-Field NMR relaxometry with frequency close to logging tools is used for quantitative determination of adsorption isotherms of methane in shale reservoirs. These measurements help estimate the gas content and differentiate between adsorbed and free gas in porous media, paving the way for studies such as natural gas storage in shale rock, CO2 sequestration, and tight enhanced recoveries such as gas flooding and cyclic solvent injection.
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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".