Remediation of Sungai Bera Holding Basin, Brunei
Bibliographic record
Abstract
Abstract This paper presents the strategy adopted and execution of a project to remediate the Sungai Bera Holding Basin (SBHB). The site is located at Seria, Brunei Darussalam, and is situated on the west bank of the river Sungai Bera, adjacent to the South China Sea. The SBHB consisted of three unlined shallow holding basins, covering an area of approximately six hectares, and containing approximately 95,000 cubic metres of oily sludges and petroleum contaminated soils. Remediation employs Low Temperature Thermal Desorption (LTTD) technology for treatment of the waste and recovery of the oil for recycling. The project is being undertaken by a Bruneian and Canadian joint venture company, and is due for completion by the end of 2002. The tribulations and lessons learned from managing a remediation project of this scale from inception to completion are shared. The project represents the first major environmental remediation of this scale in Brunei, a small country without clearly defined environmental legislation. This paper discusses the project experiences with: Project execution strategy;Determining remedial objectives and the most appropriate clean-up standards;Establishing fit-for-purpose treatment technologies and methods;Characterising the basin contents, volumes and extent of contamination;Ensuring full alignment of all stakeholders expectations:Developing a robust QA/QC scheme, including external verification;Developing and implementing HSE plans;Local capacity building and sustainable development. The results from this successful project are shared with the intention to assist other companies operating in SE Asia to develop strategies aimed at successful implementation of remediation projects.
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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) | 0.001 | 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".