Oil and Gas supply chain optimization using Agent-based modelling (ABM) integration with Big Data technology

Authors

  • Jamal Maktoubian University of Mysore image/svg+xml
  • Mehran Ghasempour-Mouziraji Islamic Azad University of Sari
  • Mohebollah Noori Islamic Azad University, Zarghan

DOI:

https://doi.org/10.4108/eai.26-6-2018.155192

Keywords:

Big Data, Agent-Based Modelling, Oil and Gas Supply Chain

Abstract

The worldwide oil & gas industry is one of the world's most complex business networks, and is connected with almost every supply chain branch. It includes international and domestic transportation, materials handling, ordering and inventory visibility and control, import/export facilitation and social network, etc. Traditionally, it has been influenced by big oilfield companies. However, in recent years the industry has been changing into a more heterogeneous and diverse network of businesses, and the oilfields are getting smaller and more diverse. One of the reason could be dwindling the oil reserves and growing specialized companies which are able to extract hydrocarbons; another reason is the restructuring and globalization of the entire business as well as some new technology implementing. Using agent-based modeling and big data technology integrity, we are able to optimize supply chain in oil and gas industries.

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Published

03-08-2018

How to Cite

[1]
J. . Maktoubian, M. . Ghasempour-Mouziraji, and M. . Noori, “Oil and Gas supply chain optimization using Agent-based modelling (ABM) integration with Big Data technology”, EAI Endorsed Trans Smart Cities, vol. 4, no. 9, p. e1, Aug. 2018.