“Whale Deaths” Are Unnatural

2016 ◽  
Vol 38 (6) ◽  
pp. 746-775 ◽  
Author(s):  
Sylvester Senyo Ofori-Parku

The past several decades have seen a shift in environmental and risk communication that emphasizes harnessing local knowledge to enhance environmental advocacy. As a result, one would expect local advocacy organizations to manifest this shift. Using Friends of the Nation (FoN; a Ghanaian local advocacy organization) as a case study, this research examines how FoN is constructing offshore oil production risks. The study found that FoN uses “whale deaths” as an exemplar of ecological risks associated with offshore oil production, even though in Ghanaian folk culture coastal communities view whale deaths as signs of bumper fish harvest. The article argues that the disconnect between the dominant frame and local meaning system could be explained in terms of FoN’s policymakers-facing as opposed (or in addition) to community residents-facing engagement approach. Recommendations for environmental advocacy are discussed.

Author(s):  
A.G. Akhmadeev ◽  
◽  
Pham Thanh Vinh ◽  
Bui Trong Han ◽  
Le Huu Toan ◽  
...  

Processes ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 1257
Author(s):  
Xiaoyong Gao ◽  
Yue Zhao ◽  
Yuhong Wang ◽  
Xin Zuo ◽  
Tao Chen

In this paper, a new Lagrange relaxation based decomposition algorithm for the integrated offshore oil production planning optimization is presented. In our previous study (Gao et al. Computers and Chemical Engineering, 2020, 133, 106674), a multiperiod mixed-integer nonlinear programming (MINLP) model considering both well operation and flow assurance simultaneously had been proposed. However, due to the large-scale nature of the problem, i.e., too many oil wells and long planning time cycle, the optimization problem makes it difficult to get a satisfactory solution in a reasonable time. As an effective method, Lagrange relaxation based decomposition algorithms can provide more compact bounds and thus result in a smaller duality gap. Specifically, Lagrange multiplier is introduced to relax coupling constraints of multi-batch units and thus some moderate scale sub-problems result. Moreover, dual problem is constructed for iteration. As a result, the original integrated large-scale model is decomposed into several single-batch subproblems and solved simultaneously by commercial solvers. Computational results show that the proposed method can reduce the solving time up to 43% or even more. Meanwhile, the planning results are close to those obtained by the original model. Moreover, the larger the problem size, the better the proposed LR algorithm is than the original model.


2017 ◽  
Vol 27 (2) ◽  
pp. 197-213 ◽  
Author(s):  
Sylvester Senyo Ofori-Parku

This study examines how local residents make sense of offshore oil production risks in Ghana’s nascent petroleum industry. From a naturalistic-interpretive perspective, it is primarily based on in-depth interviews with community residents: 8 opinion leaders, 15 residents, and 1 journalist. Residents associate Tullow’s oil activities with health concerns (e.g. conjunctivitis), environmental challenges (e.g. the emergence of decomposed seaweeds along the shore), and socio-economic concerns (e.g. loss of livelihoods, decline in fish harvest, and increased rent and cost of living). Focusing on how the local, practical knowledge of interviewees manifest in their sense of offshore oil risks, the study identifies two strategies—scapegoating and tacit knowing—underlying how residents construe offshore oil risks and benefits. Beyond its theoretical contribution to the social construction of risk process, the study illustrates the challenge the expert-lay publics dichotomy poses (and the potential bridging this dichotomy has) for corporate and societal risk management.


2018 ◽  
Vol 171 ◽  
pp. 993-1006 ◽  
Author(s):  
Ivanilto Andreolli ◽  
Gabriel Romualdo de Azevedo ◽  
Jorge Luis Baliño

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