Realizing Value From Real Time Well Monitoring In Greenfield Assets
- David Feineman (BP America)
- Document ID
- Society of Petroleum Engineers
- SPE Digital Energy Conference and Exhibition, 7-8 April, Houston, Texas, USA
- Publication Date
- Document Type
- Conference Paper
- 2009. Society of Petroleum Engineers
- 7.3.3 Project Management, 5.6.8 Well Performance Monitoring, Inflow Performance, 4.3.4 Scale, 6.1.5 Human Resources, Competence and Training, 5.6.4 Drillstem/Well Testing, 4.2 Pipelines, Flowlines and Risers, 5.3.2 Multiphase Flow, 7.7.1 New Technology Deployment
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BP's proprietary Integrated Surveillance Information System (ISIS) was deployed globally starting in 2006. The system delivers well performance data to petroleum engineers in field and office sites in near real time. The paper presents two case studies on implementing remote well performance monitoring on two Greenfield assets in Africa and Asia where distance, national culture, and language differences must be addressed as part of a technology rollout. Based on the case studies, there is evidence that Greenfield assets can adopt new ways of working and technology that allows them to surpass the performance on similar Brownfield projects.
BP's proprietary Integrated Surveillance Information System was put into global deployment starting in 2006. Foot (2006) provides an overview of the system itself. The software is the primary surveillance tool for petroleum engineers in field and office sites. To realize the value from the ISIS software, asset teams must be informed and aligned about the possible impacts on roles, skills, and business processes before, during, and after technology deployment. Technology installation has been augmented and supported by a unique methodology that integrates business process design and implementation, change management, production engineering technical support, and project management tools and skills that was described in Feineman (2006) and Feineman (2008). While the limited published case studies on Digital Oil Field of the Future (DOFF) implementations have largely concentrated on the issues of introducing new technology into existing producing assets, there is little information about the unique challenges and opportunities of introducing new ways of working with information into assets before they start production. This case study describes the path to value from remote well performance monitoring on two Greenfield assets. Although we anticipated and found challenges of language and local culture, the adoption was curiously much less complex than in Brownfield sites staffed by native English speakers. Having new Greenfield assets come on line with digital oil field enabled capabilities is a goal shared by multiple operators, and lessons learned here will have global applicability.
Greenfield assets & value from new technology
There is a significant evidence from a number of industry segments that apparently promising technology concepts often take an extended period of time from proof of concept to widespread adoption, with the majority failing to ever generate real business value even in operating assets where there should be clear ownership and drive to eliminate defects and improve performance. Muduganti (2005) cites a number of apparent paradoxical patterns in technology adoption and rejection and provides a good summary of the multitude of methods that have been applied to explain them.
The introduction of new technology into newly created assets prior to the startup of operations has different and unique challenges, and the problem is a significant one since many operators are targeting their digital oil field initiatives at a portfolio of Greenfield assets. The expectation is that new assets start-up as digital oil fields of the future as a clean sheet with new processes, organizational models, and technology. This expectation is linked to a working assumption that implementing change in a new business is easy since there are no legacy ways of working to deal with, and no established team culture norms to slow the transformation. The reality is much more complex.
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