Baseline characterisation and monitoring protocols for development of shale and tight gas resources, northern Perth Basin
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
CSIRO, in collaboration with Latent Petroleum, AWE Limited, Origin Energy, Norwest Energy and the WA Department of Mines and Petroleum (DMP) have established a research program into methods of calculating baseline values of environmental indicators and monitoring techniques during development of tight gas resources in the northern Perth Basin. As part of the project, a desktop review of available groundwater monitoring data around the sponsors’ permit areas was conducted, along with measurements of ambient methane (CH4) concentrations. The groundwater study indicated a lack of monitoring wells within the permit areas, apart from those being monitored by explorers, and provides a valuable update to the regional groundwater models built by the WA Department of Water (DoW). The mobile CH4 survey measured ambient levels of CH4 across the basin, and CH4 concentrations were close to those measured at the Cape Grim atmospheric research station (Tasmania). The soil-gas flux survey measured very low or negative CH4 flux, closely associated with carbon dioxide (CO2) levels, indicating the flux rate was controlled by microbial action. The outcomes of the project are intended to assist operators to address community assurance, adhere to or surpass regulatory requirements and establish industry best practice standards.
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.
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 | 0.001 | 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