№2, 2017
BIG DATA STRATEGY FOR THE OIL AND GAS INDUSTRY: GENERAL DIRECTIONS
Big Data technologies provide approaches and tools that are essential for the competitive development of the oil and gas industry. Interests of the oil and gas companies towards the Big Data are growing against the backdrop of the plummeting oil prices in the global energy market. An imperative prerequisite for the effective implementation on this steer is to establish a strategy organically correlated to the general corporate strategy. To this end, in this paper, we consider the development of Big Data strategy for the oil and gas industry. Moreover, the paper analyzes the potential of Big Data technology and Big Data sources in the oil and gas industry, Big Data application experience in oil and gas companies and the existing problems in the field of data management. We also define the general principles and direction of the formation and implementation of Big Data strategy (pp.31-42).
Keywords: oil and gas industry, Big Data; Hadoop, Big Data strategy, Big Data Analytics.
References
- Baaziz A., Quoniam L. How to use Big Data technologies to optimize operations in upstream petroleum industry // International Journal of Innovation, 2013, vol.1, no.1, pp.19–25.
- Hajirahimova M.S. Opportunities and challenges big data in oil and gas industry /National Supercomputer Forum (NSCF-2015), Russia, Pereslavl-Zalessky, 24-27 November, 2015.
- Alguliyev R.M., Imamverdiyev Y.N., Abdullayeva F.J. Study of the opportunities of implementing Big Data analytics for the oil and gas industry on cloud computing platform as analytics-as-a-service // Problems of Information Technologies, 2016, No 1, pp.11-26.
- Speight J.G. Handbook of offshore oil and gas operations, 2015, 444 p.
- Hilyard J. The oil &gas industry: A nontechnical guide. 2012, 322 p.
- Sasson A., Blomgren A. Knowledge Based Oil and Gas Industry. Research Report - 03/2011. BI Norwegian Business School. March 2011, 5 p.
- Taneja P., Wate P. Big data enabled digital oil field // CSI Communications, 2013, vol.37, no.1, pp.18–20.
- Gasimova R.T. Big Data analytics: current approaches, problems and solutions // Problems of Information Technologies, 2016, No1, pp.75-93.
- Alguliyev R.M., Hajirahimova M.S. “Big Data” phenomenon: Challenges and Opportunities // Problems of Information Technologies, 2014, No2, pp.3-16.
- Open Oil: Exploring oil data: a reporter’s handbook, 2012, 100 p.
- Brulé M. Tapping the power of Big Data for the oil and gas industry. IBM Software White Paper for Petroleum Industry, May 2013, 8 p.
- Feblowitz J. The Big Deal about Big Data in upstream oil and gas. Paper & Presentation, IDC Energy Insights, October 2012,11 p.
- Sangvai P. Impact of Big Data in oil and gas industry /Proc. of the 10th Biennial International Conference & Exposition, 2013, pp.439–440.
- Heudecker N., Beyer M. A., Edjlali R. The demise of Big Data, its lessons and the state of things to come. Gartner Technical Report, 2015. gartner.com/doc/3115022/demise-bigdata-lessons-state.
- Thomson D. Big Data is dead, long live Big Data / The Cyber Defense Review, 2016. www.cyberdefensereview.org/2016/03/10/big-data-is-dead/
- Nag R., Hambrick D. C., Chen M.-J. What is strategic management, really? Inductive derivation of a consensus definition of the field // Strategic Management Journal, 2007, vol.28, no.9, pp.935–955.
- Hitt M. A., Ireland R.D., Hoskisson R. E. Strategic management: Concepts: Competitiveness and Globalization (11th Edition). Cengage Learning. 2014,480 p.
- Inkpen A.C., Moffett M. H. The global oil& gas industry: Management, strategy & finance. 2011, 455 p.
- Devold H. Oil and gas production handbook (Edition 3.0). Oslo: ABB, 2013, 162 p.
- Barber A., ShippenM. E., BaruaS., Velázquez J.C., et al. Optimizing production from reservoir to process plant // Oilfield Review, Winter 2007/2008, pp.12–29.
- Hollingsworth J. Big Data for oil & gas. Oracle Oil & Gas Industry Business Unit. March 2013, 24 p.
- Feblowitz J., Rice L., Beals B., Andersson B. Big Data in oil and gas: How to tap its full potential. Hitachi Data Systems Corporation, 2013, 45 p.
- Hems A., Soofi A., Perez E. Drilling for new business value - How innovative oil and gas companies are using big data to outmaneuver the competition. Microsoft White Paper, May 2013, 13 p.
- Seshadri M.Big Data science challenging the oil industry, 2012, 32 p.
- The Internet o f Things: Mapping The Value Beyond The Hype. McKinsey Global Institute, McKinsey & Company, June 2015, www.mckinsey.com/mgi
- Kamal S. Z., Williams J., Liddle J. Continuous Improvement of Assets Through Existing and New Digital Oilfield Technology. Society of Petroleum Engineers. 2014. http://dx.doi.org/10.2118/167908-MS.
- Bravo C. E., Saputelli L., Rivas F., Perez A. G., et al. State of the Art of Artificial Intelligence and Predictive Analytics in the E&P Industry: A Technology Survey. Society of Petroleum Engineers, 2013. http://dx.doi.org/10.2118/150314-PA.
- Onajite E. Seismic Data Analysis Techniques in Hydrocarbon Exploration. Elsevier Inc., 2014, 256 p.
- Hyne N. Dictionary of Petroleum Exploration, Drilling & Production. 2nd Edition. 2014, 625 p.
- Zhang M., Ma X., Wang L., Lai Sh., Zhou H.,Zhao H., Liao Y. Progress of optical fiber sensors and its application in harsh environment // Photonic Sensors, 2011, vol.1, no.1, pp.84–89.
- Shi Y., ZhangCş, LiR., Cai M.,JiaG. Theory and Application of Magnetic Flux Leakage Pipeline Detection // Sensors, 2015, 15, 31036–31055; doi:10.3390/s151229845.
- Mohamed A., Hamdi M. S., Tahar S. A machine learning approach for Big Data in oil and gas pipelines /Proc. of the3rd International Conference on Future Internet of Things and Cloud (FiCloud), 2015, pp.585–590.
- Imamverdiyev Y. N. Great potential and challenges of Big Data technologies // Problems of Information Society, 2016, No1, pp.23-34.
- White T. Hadoop: The definitive guide. O'Reilly Media, Inc., 2012, 688 p.
- Holdaway K. Harness oil and gas Big Data with analytics: Optimize exploration and production with data driven models. Wiley, 2014, 384 p.
- Gandomi A., Haider M. Beyond the hype: Big data concepts, methods, and analytics // International Journal of Information Management, 2015,vol.35,no.2, pp.137–144.
- Xia W., Wen Y., Foh C. H., Niyato D., & Xie H. A survey on software-defined networking // IEEE Communications Surveys & Tutorials, 2015, vol.17, no.1, pp.27–51.
- Steed C.A., Ricciuto D.M., Shipman G., Smith B., Thornton P.E., Wang D., Williams D.N. Big data visual analytics for exploratory earth system simulation analysis // Computers and Geosciences, 2013, vol.61, pp.71–82.
- Perrons R. K., Hems A. Cloud computing in the upstream oil & gas industry: A proposed way forward // Energy Policy, 2013, vol.56, pp.732–737.
- Feblowitz J. Oil and gas: Into the cloud? // Journal of Petroleum Technology, 2011, vol.63, no.5, pp.32–33.
- Li X., Ma J., Wang S., Zhang X. How does Google search affect trader positions and crude oil prices? // Economic Modelling, 2015, vol.49, pp.162–171.
- Wisniewski W., Danner G.E. Optimizing big data in the oil field, 2014. www.epmag.com/optimizing-big-data-oil-field-709906
- Tan K.H., Ortiz-Gallardo V.G., Perron R.K. Using Big Data to manage safety-related risk in the upstream oil & gas industry: A research agenda // Energy Exploration & Exploitation, 2016, vol.34, no.2, pp.282–289.
- Nicholson R. Big Data in the oil &gas industry. IDC Energy Insights, September 2012, .
- Wills J. Seismic data science: Reflection seismology and hadoop.2012. http://blog. cloudera.com/blog/2012/01/seismic-data-science-hadoop-use-case/
- Lee J.-G., Kang M. Geospatial Big Data: Challenges and opportunities // Big Data Research, 2015, vol.2, no.2, pp.74–81.
- Korolkov M. In the stream // Siberian oil, 2015, No9 (126), pp.36-39.
- Warfield A., Hadoop and Big Data storage: The challenge of overcoming the science project. Data Center Knowledge, May 2015. www.datacenterknowledge.com/archives/2015/05/26/hadoop-big-data-storage-challenge-overcoming-science-project/
- Perrons R.K., Jensen J. The unfinished revolution: what is missing from the E and P industry's move to “Big Data” // Journal of Petroleum Technology, 2014, vol.66, no.5, pp.20–22.
- Irving D.4 reasons oil & gas companies are going to fail in a Big Data world. November 11th, 2015. http://blogs.teradata.com/international/4-reasons-oil-gas-companies-are-going-to-fail-in-a-big-data-world/
- Perrons R., Jensen J. Data as an asset: What the upstream oil & gas industry can learn about "Big Data" from companies like Facebook // Energy Policy, 2015, vol.81, pp.117–121.
- Sicular S. Data Scientist – Mystified. June 29, 2012. http://blogs.gartner.com/svetlana-sicular/data-scientist-mystified/
