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Bibliographic record
Abstract
Produced Water Discharge Monitoring Tahir Husain; Tahir Husain Memorial University of Newfoundland and Labrador Search for other works by this author on: This Site Google Scholar Brian Joseph Veitch; Brian Joseph Veitch Memorial University of Newfoundland and Labrador Search for other works by this author on: This Site Google Scholar Kelly Hawboldt; Kelly Hawboldt Memorial University of Newfoundland and Labrador Search for other works by this author on: This Site Google Scholar Haibo Niu; Haibo Niu Memorial University of Newfoundland and Labrador Search for other works by this author on: This Site Google Scholar Sara Adams; Sara Adams Memorial University of Newfoundland and Labrador Search for other works by this author on: This Site Google Scholar Jihad Shanaa Jihad Shanaa Memorial University of Newfoundland and Labrador Search for other works by this author on: This Site Google Scholar Paper presented at the Offshore Technology Conference, Houston, Texas, USA, May 2008. Paper Number: OTC-19271-MS https://doi.org/10.4043/19271-MS Published: May 05 2008 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Husain, Tahir, Veitch, Brian Joseph, Hawboldt, Kelly, Niu, Haibo, Adams, Sara, and Jihad Shanaa. "Produced Water Discharge Monitoring." Paper presented at the Offshore Technology Conference, Houston, Texas, USA, May 2008. doi: https://doi.org/10.4043/19271-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsOffshore Technology ConferenceOTC Offshore Technology Conference Search Advanced Search AbstractThis paper describes how Memorial University is using a new ocean going autonomous underwater vehicle (AUV) to collect ocean environmental monitoring data to take detailed environmental measurements in the water column and to validate ocean environmental monitoring and modeling tools. The research team is developing models to anticipate, manage and mitigate changes in environmental quality, habitat changes and pollutant effects of produced water discharges from offshore oil and gas platforms. Hydrodynamic discharge models that have been developed and validated are described. In the process of executing this research program, highly qualified personnel are being trained in the area of offshore environmental monitoring, risk assessment, and risk management to ensure the sustainability of offshore oil and gas projects.1. INTRODUCTIONAtlantic Canada is in the process of developing offshore oil and gas fields. Within the Province of Newfoundland and Labrador, three offshore fields are already operational and other fields are good prospects. On the Grand Bank, the Hibernia oilfield, 315 km east and south-east of St. John's, has been producing oil since 1997. Average water depth in this area is 80 m and the field is operated using a gravity-based platform. The Terra Nova oilfield is 35 km south-east of Hibernia. It has been producing since 2001. It has a floating platform with average water depth at 95 m. The White Rose oilfield is also close to Hibernia and it has been producing since 2005. The water depth in this area is about 125 m. The Hebron oilfield, which is also close to Hibernia and Terra Nova, may be the next field to be developed. Recent studies estimate a combined recoverable reserve on the Grand Banks of 2.751 billion barrels of oil, up 696 million barrels from previous estimates. In order to predict, manage and mitigate the potential impacts of changes associated with offshore oil and gas development there is a need to develop decision-making tools.The research team in the Faculty of Engineering and Applied Science at Memorial University has been involved in developing environmental decision-making tools to manage waste discharges from offshore oil and gas projects since 1999. The team has conducted several studies on environmental risk assessment and risk management tools for discharge of drilling wastes and produced waters in the marine environment.In the last eight years, the team has focused mainly on the following topics:Development of a probabilistic hydrodynamic model and risk-based design procedure for produced water discharges (Mukhtasor, 2001).Risk-based decision model for drilling waste discharges in the marine environment (Sadiq, 2001).Assessment of performance characteristics of sensors for environmental monitoring using underwater vehicles (Pennell, 2003).Laboratory investigation of the settling characteristics of drilling cuttings (Niu, 2003).Evaluation of various offshore drilling waste treatment technologies using multi-criteria decision-making (Thanyamanta, 2003).Development of decision support software to manage produced water in offshore oilfields (Chowdhury, 2004).Environmental effects monitoring of fish plant effluent in coastal Newfoundland (Adams, 2005)The dispersion of offshore discharged produced waters in the marine environment: hydrodynamic modeling and experimental study (Niu, 2008). Keywords: marine environment, monitoring, sensor, memorial university, water management, risk assessment, newfoundland, environmental monitoring, mukhtasor, thesis Subjects: Environment, Water use, produced water discharge and disposal This content is only available via PDF. 2008. Offshore Technology Conference You can access this article if you purchase or spend a download.
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 | 0.000 | 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 | 0.001 | 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