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Journal articleKorre A, Durucan S, Pan I, 2016, , Computers and Chemical Engineering, Vol: 89, Pages: 84-105, ISSN: 0098-1354
Large scale engineering process systems are subject to a variety of risks which affect the productivity and profitability of the industry in the long run. This paper outlines the short comings of the current methods of risk quantification and proposes a systems engineering framework to overcome these issues. The functionality of the developed model is illustrated for the case of mineral processing and metal production industries using a copper ore processing and refined metal production case study. The methodology provides a quantitative assessment of the risk factors and allows the opportunity to minimise financial losses, which would help investors, insurers and plant operators in these sectors to make appropriate risk hedging policies. The models developed can also be coupled with evolutionary or swarm based algorithms for optimising the systems. A numerical example is illustrated to demonstrate the validity of the proposition.
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Journal articleShi J-Q, Pan Z, Durucan S, 2014, , INTERNATIONAL JOURNAL OF COAL GEOLOGY, Vol: 136, Pages: 17-24, ISSN: 0166-5162
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- Citations: 50
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Journal articleDurucan S, Ahsan M, Shi J-Q, et al., 2014, , FUEL, Vol: 134, Pages: 226-236, ISSN: 0016-2361
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- Citations: 42
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Journal articleShi J-Q, Durucan S, 2014, , INTERNATIONAL JOURNAL OF COAL GEOLOGY, Vol: 131, Pages: 172-176, ISSN: 0166-5162
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- Citations: 43
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Journal articleShi J-Q, Durucan S, Shimada S, 2014, , INTERNATIONAL JOURNAL OF COAL GEOLOGY, Vol: 128, Pages: 134-142, ISSN: 0166-5162
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- Citations: 65
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Journal articleChen D, Shi J-Q, Durucan S, et al., 2014, , INTERNATIONAL JOURNAL OF COAL GEOLOGY, Vol: 122, Pages: 37-49, ISSN: 0166-5162
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- Citations: 63
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Conference paperDe La Torre Guzman J, Shi JQ, Durucan S, et al., 2014,
InSAR monitoring leads to improved understanding of flow and pressure behaviour during CO2 injection at In Salah
, Pages: 102-106Building on previous work by the authors on flow and geomechanical simulations at the InSalah CO2 storage site, a coupled flow-geomechanical simulation study has been carried out to better understand the flow behaviour around one of the injectors (KB-503). In order to further improve the match of the injection pressure at KB-503 that is consistent with the InSAR surface uplift data, an in-depth analysis of the InSAR surface uplift pattern and its temporal evolution was first carried out. The picture emerging is that preferential flow paths (along the NW-SE maximum stress direction) appear to have been created, as a result of fluctuations in the injection rate from September 2005 onwards, which led to the pressurisation of the reservoir rock away from the immediate vicinity of the wellbore as reflected by elongated surface uplift pattern around KB-503. A plausible explanation is that CO2 injection has caused tensile opening of pre-existing fractures/faults in the area. Based upon this understanding, a much improved match of the BHP pressure for KB-503 was achieved by incorporating a fractured zone with dynamic transmissibility into the reservoir model based on InSAR surface uplift observations. Copyright © (2014) by the European Association of Geoscientists & Engineers. All rights reserved.
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Journal articleCastro-Molinare J, Korre A, Durucan S, 2014,
Sustainability Analysis of Copper Extraction and Processing using Life Cycle Analysis Methods: a Case Study in the North of Chile
, 24TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PTS A AND B, Vol: 33, Pages: 1861-1866, ISSN: 1570-7946- Cite
- Citations: 6
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Journal articleNie Z, Korre A, Durucan S, 2014,
Life Cycle Modelling of Alternative Gas-fuelled Power Plants with CO<sub>2</sub> Capture and Storage
, 24TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PTS A AND B, Vol: 33, Pages: 985-990, ISSN: 1570-7946- Cite
- Citations: 2
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Journal articleAl-Ansari T, Korre A, Nie Z, et al., 2014,
Development of a Life Cycle Assessment Model for the Analysis of the Energy, Water and Food Nexus
, 24TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PTS A AND B, Vol: 33, Pages: 1039-1044, ISSN: 1570-7946- Cite
- Citations: 12
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