scholarly journals Engendering the blue economy : offshore oil extraction and the livelihoods of women in Ghana

2020 ◽  
Author(s):  
◽  
Sangra Amongin
Keyword(s):  
Oil Extraction ◽  
Blue Economy ◽  
Offshore Oil

A Cost-Driven, High-Level Optimization of OSV Operations in the Flemish Pass

2018 ◽  
Author(s):  
Philippe Gauthier ◽  
David Molyneux
Keyword(s):  
Programming Model ◽  
Oil Extraction ◽  
Non Linear Programming ◽  
Non Linear ◽  
High Level ◽  
Non Linear System ◽  
Offshore Oil ◽  
The Impact ◽  
Pareto Frontiers ◽  
Made In

This paper presents a cost driven, high-level optimization of Offshore Supply Vessel (OSV) operations in the Flemish Pass sector. This is an area located in the offshore waters of Newfoundland where significant oil discoveries were made in recent years, but where oil extraction will pose logistical challenges due to the increased distance from shore bases. In the first part of this paper, a simple non-linear programming model is used to minimize the monthly costs to supply a hypothetical offshore oil installation located in the Flemish Pass and to assess whether hypothetical fast supply vessels make economic sense. The second part of this paper explores the application of Pareto frontiers to the non-linear system, to evaluate the impact of schedule slack on costs, but also to look at winter operations in the Flemish Pass area.

scholarly journals Sediment eDNA Metabarcoding for monitoring impacts from offshore oil extraction

2021 ◽  
Vol 4 ◽  
Author(s):  
Anders Lanzén ◽  
Jon Thomassen Hestetun ◽  
Andrea Bagi ◽  
Thomas Dahlgren
Keyword(s):  
Barents Sea ◽  
De Novo ◽  
Oil Extraction ◽  
Attractive Alternative ◽  
Accurate Information ◽  
Sensitivity Index ◽  
Biotic Indices ◽  
Anthropogenic Pressures ◽  
Minimum Criteria ◽  
Offshore Oil

Routine biological monitoring of the areas affected by offshore oil drilling and extraction is critical for ensuring proper environmental management. In addition to sufficient knowledge of the ecosystem affected, formalised e.g. as biotic indices of indicator species, adequate temporal and spatial resolution is also required, to provide accurate information. As already demonstrated in several types of environments, environmental DNA (eDNA) metabarcoding offers an attractive alternative to current morphology-based assessments, including for impacts of oil extraction or spills. We have recently studied the influence of different experimental strategies on the accuracy of marine sediment metabarcoding, suggesting minimum criteria for technical and spatial replication (Hestetun et al. 2020). Here, we aim to evaluate the predictive power of this strategy, through agreement with assessments based on physicochemical measurements and current bioindicators. To this end, we targeted the metazoan, and total eukaryotic benthic communities, using COI and 18S V1-V2 markers, respectively. Sampled sites ranged from high to low impacts. The studied areas were located near active production installations and reference sites on the Norwegian continental shelf, in the North Sea and Barents Sea. As a proxy for accumulated impact, we developed a simple physicochemical pressure index (PI) based on total hydrocarbons, PAH16, barium and copper, all of which agreed well with impact reported from recent routine monitoring. Alpha diversity of both molecular datasets, as well as of morphology data, correlated strongly with this PI. However, the correlation was stronger yet with the macroinvertebrate-based Norwegian Sensitivity Index (NSI) derived from COI metabarcoding data, which also agreed well with NSI values derived from morphology-based monitoring. We also identified a set of bioindicator taxa from each of the two metabarcoding datasets, used to develop two novel metabarcoding-based biotic indeces. Using cross-validation, we demonstrated that predictions based on these indeces agreed well with PI. Predictive performance was better, and similar to NSI, for the COI-based index, but also high for the 18S-based version. In conclusion, this study demonstrates how de novo biotic indices can be developed, that perform comparably to existing biotic indices. We are confident that, using a larger set of samples, performance can be improved beyond that of current monitoring practices. Thanks to the reduced costs of eDNA analysis in comparison to morphological identifiation, this would also pave the way for improved spatial and temporal resolution employed in routine environmental monitoring. In doing so, it can also provide valuable raw data for improving our understanding of benthic ecology, biodiversity and its sensitivity to anthropogenic pressures.

The Path to The Blue Economy - Lessons from the Oil and Gas Industry

2021 ◽  
Author(s):  
Roger I. Basu ◽  
Krish T. Sharman
Keyword(s):  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Offshore Wind ◽  
Gas Industry ◽  
Engineering Community ◽  
Innovative Methods ◽  
Blue Economy ◽  
Offshore Oil And Gas ◽  
Offshore Oil

The importance of the blue economy is growing. A key element of this is the transition from fossil-based energy to greener alternatives such as offshore wind, marine renewables and other sources of energy. The ocean has been a source of food for millennia but newer, more innovative methods, of offshore cultivation are being developed and deployed. The engineering experience gained in offshore oil and gas industry is finding application in these examples of engineering for the blue economy. The trends are outlined together with the challenges faced by the engineering community.

scholarly journals Exploring the Spatial Variations of Stressors Impacting Platform Removal in the Northern Gulf of Mexico

2021 ◽  
Vol 9 (11) ◽  
pp. 1223
Author(s):  
Jake R. Nelson ◽  
Lucy Romeo ◽  
Rodrigo Duran
Keyword(s):  
Gulf Of Mexico ◽  
Regional Scale ◽  
Oil Extraction ◽  
Offshore Platforms ◽  
Operating Environment ◽  
Internal Factors ◽  
Actionable Knowledge ◽  
Future Studies ◽  
Offshore Oil ◽  
Shed Light

Although progress has been made to advance our understanding of the risks involved in offshore oil extraction activities, a regional scale understanding of factors contributing to losses in infrastructure integrity are lacking. Recent data integration efforts have resulted in a comprehensive database that allows for an unprecedented study of the external and internal factors that impact the structural and operational integrity of offshore platforms in the Gulf of Mexico. This study constitutes some of the initial explorations into that database by focusing on the relationships among a diverse set of variables and the age at which a platform is removed. We apply Geographically Weighted Regression to account for the heterogeneity of the operating environment, finding robust yet unexpected relationships that shed light on some of the factors that influence platform removal. Our findings pave the way for future studies aimed at building actionable knowledge.

The Golden Age in Russian Refining: Outcomes and Prospects

2012 ◽  
pp. 124-131
Author(s):  
Yu. Astashov
Keyword(s):  
Golden Age ◽  
Oil Extraction ◽  
The State ◽  
Oil Refining ◽  
Tax Reforms

The article considers the state of things in Russian oil refining. The options for its modernization are analyzed, as well as the effects of tax reforms in the sector. It is noted that current tax reforms mostly touch upon refining, not oil extraction, so one can expect further reforms in the sector and their impact on the industry.

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