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Intelligent data systems to aid decision-making at tenders for oil and gas fields development

Listed author(s):
  • Anna Khripunova


    (Senior Research Scientist, LLC “NIIGAZECONOMIKA”, Gazprom)

  • Konstantin Vishnevskiy


    (Research fellow, Laboratory for Science and Technology Studies, Institute for Statistical Studies and Economics of Knowledge, National Research University Higher School of Economics)

  • Oleg Karasev


    (Deputy Director, International Research and Educational Foresight Centre, Institute for Statistical Studies and Economics of Knowledge, National Research University Higher School of Economics)

  • Dirk Meissner


    (Deputy Head, Laboratory for Science and Technology Studies, Institute for Statistical Studies and Economics of Knowledge, National Research University Higher School of Economics)

In the last few years the world oil and gas industry has experienced a rapid development growing more strongly than many other industry branches. Modern oil and gas industry aims at the extraction of natural resources at an increasing scale. The growth of oil production is conditional upon developing new exploration fields to create auspicious investment conditions, stabilize national social and political life using and implementing state-of-the-art technologies. It is efficient and vital for oil and gas companies today to contract different companies and their competences and resources in the development of fields, oil and gas extraction, transport and refining. It allows incorporating cutting-edge know-how in extracting natural resources by means of implementing new scientific and technological solutions aimed at further leveraging profitability based on inter-company cooperation thus opening opportunities for economic and social development and improvement but also environmental protection and quality of life. The search for a suitable partner / contractor to perform the necessary duties is difficult and laborious, and usually realized in the form of a tendering process. The complicated nature of organizing tenders requires creating new means and instruments which are designed to improve the choice efficiency and reduce the term of decision making. As evidenced by world experience from other industries the most prospective decision in this field are made using Intelligent Data Systems. This article deals with structure of intelligent information systems aiding decision-making using the case of an electronic tender competition. In this paper we provide a new approach for tendering in the oil&gas industry.

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Paper provided by National Research University Higher School of Economics in its series HSE Working papers with number WP BRP 07/STI/2013.

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Length: 18 pages
Date of creation: 2013
Publication status: Published in WP BRP Series: Science, Technology and Innovation / STI, April 2013, pages 1-18
Handle: RePEc:hig:wpaper:wpbrp07sti2013
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  1. Bhagat, Sanjai & Dong, Ming & Hirshleifer, David & Noah, Robert, 2005. "Do tender offers create value? New methods and evidence," Journal of Financial Economics, Elsevier, vol. 76(1), pages 3-60, April.
  2. Bana e Costa, Carlos A. & Corrêa, Émerson C. & De Corte, Jean-Marie & Vansnick, Jean-Claude, 2002. "Facilitating bid evaluation in public call for tenders: a socio-technical approach," Omega, Elsevier, vol. 30(3), pages 227-242, June.
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