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Introduction to Digital Oil and Gas Field Systems 41
Sankaran, S., Olise, M., Meinert, D., Awasthi, A., 2010. Realizing Value from Implementing
I-Field in a Deepwater Greenfield in Offshore Nigeria Development. Society of
Petroleum Engineers. SPE-12769-MS https://doi.org/10.2118/127691-MS.
Saputelli, L., Bravo, C., Nikolaou, M., Lopez, C., Cramer, R., Mochizuki, S., et al., 2013.
Best Practices and Lessons Learned after 10 Years of Digital Oilfield (DOF)
Implementations. Society of Petroleum Engineers. SPE-16726-MS https://doi.org/
10.2118/167269-MS.
Steinhubl, A., Klimchuk, G., Click, C., Morawski, P., 2008. Unleashing Productivity:
The Digital Oil Field Advantage. https://www.strategyand.pwc.com/media/file/
UnleashingProductivity.pdf.
Van den Berg, F., Perrons, R.K., Moore, I., Schut, G., 2010. Business Value From Intelligent
Fields. Society of Petroleum Engineers. SPE-128245-MS https://doi.org/10.2118/
128245-MS.
Yunus, K., Chetri, H., Saputelli, L., 2014. Waterflooding Optimization and its impact using
Intelligent Digital Oilfield (iDOF) Smart Workflow Processes: A Pilot Study in Sabriyah
Mauddud, North Kuwait. International Petroleum Technology Conference.
IPTC-17315-MS https://doi.org/10.2523/IPTC-17315-MS.
FURTHER READING
IBM Institute for Business Value, 2010. Oil and Gas 2030: Meeting the Growing Demands
for Energy in the Coming Decades. p. 12.https://www-935.ibm.com/services/
multimedia/GBE03376USEN.pdf.
iStore, 2015. Digital Oilfield Solution. Istore Co..https://www.istore.com/Overview.html
US Department of Energy, 2010. Predictive Maintenance. http://www1.eere.energy.gov/
femp/program/om_predictive.html (accessed 01/2012).
US Energy Information Administration, 2016. EIA projects 48% increase in world energy
consumption by 2040. In: Today in Energy.http://www.eia.gov/todayinenergy/
detail.php?id¼26212.