Baseline characterisation and monitoring protocols for development of shale and tight gas resources, northern Perth Basin
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".