Artificial intelligence in oil and gas upstream: Trends, challenges, and scenarios for the future
We analyze how artificial intelligence changes a significant part of the energy sector, the oil and gas industry. We focus on the upstream segment as the most capital-intensive part of oil and gas and the segment of enormous uncertainties to tackle. Basing on the analysis of AI application possibilities and the review of existing applications, we outline the most recent trends in developing AI-based tools and identify their effects on accelerating and de-risking processes in the industry. We investigate AI approaches and algorithms, as well as the role and availability of data in the segment. Further, we discuss the main non-technical challenges that prevent the intensive application of artificial intelligence in the oil and gas industry, related to data, people, and new forms of collaboration. We also outline three possible scenarios of how artificial intelligence will develop in the oil and gas industry and how it may change it in the future (in 5, 10, and 20 years).
Today the increasing number of constant consumers is a strategic aim for any organization which is possible to be achieved only under condition of continuous perfection of organizational activity quality. If the service representation doesn't correspond to the consumers’ expectations they lose their interest to the service organization, if it does correspond or surpass their expectations they probably would readdress to service provider. For this reason the service organization should more precisely reveal consumers requirements and expectations, namely provider should constantly measure its service quality.
In the given work approaches by the Russian and foreign researchers in the field of quality management are studied and analyzed in details, namely:
- approaches to the «service quality» definition;
- the basic components of service quality management process;
- service organization quality model.
The purpose of research work consists of ISQM (Innovation System of Quality Management) model creation taking into account features of TCS providing, which, in turn, is targeted on TCS company purposes achievement in the field of quality by means of:
- setting the control values of TCS quality indicators;
- measuring of the reached results and their comparison with expected results;
- effective management decision making as a result of carrying out the analysis of managerial activity in the field of quality on the basis of the report containing recommendations for the company activity improvement, prepared due to the results of measuring and collecting quality indicators.
At the present level of development the information and knowledge become important engines of global economic growth and key elements of national strate-gy for increasing country’s competitiveness in the international market. The article is aimed to analyze two monitoring systems of innovation capacity (ICT Development Index and Networked Readiness Index) as the indicators of development of knowledge economy and information society.
The article deals with the concept of the development of society as an innovative. The author puts forward the assumption of the formation of discursive anthropocentric economy, new predictive models of innovative communication.
The study of existing monitoring systems is topical, because at the present level of development the transition to information society and knowledge economy becomes one of the key elements of national strategy aimed to increase country's competitiveness in the international market. There are many index systems that study the nature of this phenomenon and compare countries by the level of digital development. To ensure objective evaluation of innovation capacity the analysis of current monitoring systems applied in measuring the development of ICT and e-readiness together with data collection was suggested.
In the modern economic reality the level of competitiveness of entire countries and national economies depends on innovative activity in the industry and technology. The present article analyzes the diffusion of clusters model in international experience and the spread of spin-offs model as an effective solution for clusters’ efficiency increasing. A methodological proposal for evaluating of clusters’ competitiveness is formulated.
A successful realization of the Russia and Belarus Union State’s project SKIF made a strong impulse to supercomputing in both countries. The scale of positive externalities to a large degree was made of the selected open model of intellectual property management. This made supercomputing available not only to the large corporations and state R&D bodies, but to the small and medium business as well. This resulted in the rise of innovation implementation and their contribution to modernization of Russian and Belarusian economies on the whole.
This book constitutes the refereed proceedings of the 12th Industrial Conference on Data Mining, ICDM 2012, held in Berlin, Germany in July 2012. The 22 revised full papers presented were carefully reviewed and selected from 97 submissions. The papers are organized in topical sections on data mining in medicine and biology; data mining for energy industry; data mining in traffic and logistic; data mining in telecommunication; data mining in engineering; theory in data mining; theory in data mining: clustering; theory in data mining: association rule mining and decision rule mining.
The Working Paper examines the peculiarities of the Russian model of corporate governance and control in the banking sector. The study relies upon theoretical as well as applied research of corporate governance in Russian commercial banks featuring different forms of ownership. We focus on real interests of all stakeholders, namely bank and stock market regulators, bank owners, investors, top managers and other insiders. The Anglo-American concept of corporate governance, based on agency theory and implying outside investors’ control over banks through stock market, is found to bear limited relevance. We suggest some ways of overcoming the gap between formal institutions of governance and the real life.
At present many industries reveal tendency for setting up of vertically integrated companies (VIC) the structure of which unites all technological processes. This tendency proved its efficiency in oil industry where coordination of all successive stages of technological process, namely, oil prospecting and production -oil transportation - oil processing - oil chemistry - oil products and oil chemicals marketing, is necessary. The article considers specific features of introduction of "personnel management" module at enterprises of oil and gas industry.
vertically integrated companies; personnel management