A Management Plan for the Offshore Disposal of Drilling Muds and Cuttings in Brunei: A Receiving Environment Based Approach

Author(s):  
T. Earle Hickey ◽  
Mike M. J. Seymour ◽  
Stephen D. Sayle

An offshore survey and environmental assessment was conducted on the Brunei continental shelf offshore oil and gas concession area in 2000–2001. The results of the comparison of the environmental effects of previous ocean disposal of oilbased mud (OBM), water-based mud (WBM) and ester-based synthetic mud (ESBM) was used to prepare guidelines for atsea disposal of mud and cuttings based on the sensitivity of the receiving environment. The ranking, in terms of sensitivity of environmental components are as follows: 1) Shallow coral reefs; 2) Deep reefs; 3) Juvenile shrimp nursery areas; 4) Adult shrimp shallow coastal areas; 5) Adult shrimp mid-shelf areas; 6) the Brunei continental shelf; and, 7) Continental slope and deep water. Detailed instructions are presented for the handling and disposal of WBM and ESBM for each offshore zone. The guidelines are presented in a user-friendly format and provide: description of the environmental zone and it’s sensitivity; the disposal management strategy including options for disposal in order of preference; and requirements for planning, disposal and recommended monitoring and follow-up.

1974 ◽  
Vol 188 (1) ◽  
pp. 11-24 ◽  
Author(s):  
L. C. Allcock

Development of offshore oil and gas production from the continental shelf and in even deeper water will be dependent on engineers. It is of primary importance to understand the nature of the oil and gas production industry in order to follow more clearly the contribution that will be required from many of the professional branches of engineering, and a great deal of new technology must be developed in order that the problems of the future may be overcome. The difficulty may not be in defining the future engineering of oil and gas development but in finding engineers in sufficient numbers to meet the demand.


Author(s):  
Martin Hassel ◽  
Ingrid Bouwer Utne ◽  
Jan Erik Vinnem

This article presents a new risk model for estimating the probability of allision risk (the impact between a ship under way and a stationary installation) from passing vessels on the Norwegian Continental Shelf (NCS). Offshore petroleum operators on the NCS are required by the Norwegian Petroleum Safety Authority (PSA) to perform risk assessments to estimate the probability of impacts between ships and offshore installations, both for field related and passing (merchant) vessels. This has typically been done using the aging industry standard COLLIDE risk model, but this article presents a new risk model based on a Bayesian Belief Network (BBN) that can replace the old COLLIDE model for passing vessels. The new risk model incorporates a wider range of risk influencing factors (RIFs) and enables a holistic and detailed analysis of risk factors, barrier elements and dependencies. Even though the risk of allision with passing vessels is very small, the potential consequences can be critical. The new risk model is more transparent and provides a better understanding of the mechanisms behind allision risk calculations. The results from the new model are aligned with industry expectations, indicating an overall satisfactory performance. The article discusses several key elements, such as the use of expert judgement to estimate RIFs when no empirical data is available, model sensitivity, and a comparative assessment of the new risk model to the old COLLIDE model.


2016 ◽  
Vol 18 (01) ◽  
pp. 1650004 ◽  
Author(s):  
G. S. Fraser ◽  
J. Russell

Environmental assessments (EAs) predict project environmental effects with varying degrees of certainty. Articulating prediction uncertainty and linking it to EA follow-up is a best practice for reducing uncertainty. This study examines predictions from Canadian oil projects off Newfoundland and Labrador between 1985 and 2012 concerning seabirds, the valued ecosystem component identified as the most vulnerable to oil exploitation in an area frequented by millions of migratory birds. We asked if these EA predictions: (a) reported uncertainty ratings;  (b) for those reporting medium and high uncertainty ratings whether the predictions were addressed by EA follow-up; and (c) if prediction uncertainty was reduced by EA follow-up and reflected in subsequent EAs. Prediction uncertainty reporting was rare and uncertainties were not resolved through EA follow-up. Assumptions of negligible or low environmental effects on seabirds off Newfoundland and Labrador from offshore oil and gas extraction have been supported through decades by sustaining uncertainty.


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