Real-Time Operations Support for Geographically Dispersed Operations
- Richard Kucs (OMV E&P) | Wolfgang Lehnert (OMV E&P) | John Thorogood (Drilling GC) | Hermann Spoerker (OMV E&P) | Neal Whatson (OMV E&P)
- Document ID
- Society of Petroleum Engineers
- SPE Drilling & Completion
- Publication Date
- September 2016
- Document Type
- Journal Paper
- 236 - 246
- 2016.Society of Petroleum Engineers
- Seamless, Drilling, Real Time
- 2 in the last 30 days
- 237 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 12.00|
|SPE Non-Member Price:||USD 35.00|
This paper addresses the problem faced by an operator working on a much smaller scale needing to provide a few geographically dispersed rigs with the benefits of real-time support technologies through high-quality communications and a clearly defined work flow involving collaborative working between the rig, operations office, and the head office in Europe. We describe how the real-time systems were implemented for a number of global drilling operations without installing a real-time operation center. A case study of implementation in one area is presented. This approach enabled the decision makers in the field to access the experience of and support from the rest of the organization. The global real-time collaboration environment allowed the specialists to direct their attention, as required, to operations most in need of support at any particular time. By not installing a real-time operations center, the organization saved resources and encouraged the local teams to use the analysis tools themselves to manage their operational performance. The head-office organization provided technical and administrative support. It facilitated the design of the work flows and set common standards for the information-technology and communications architecture. The work flows were essential to create a structure for using the software tools within a local drilling team and to make sure that problems were detected as early as possible. The work flows aimed to strike a balance between not allowing early-warning signals to be overlooked while giving the operations team the freedom to responsibly manage the operation on the rig. Through the way that the system and the work flows were used on a daily basis, the rig personnel gained confidence that the system was set up purely to support them and for their benefit. The design and the implementation of these work flows used state of the art real-time drilling-data analysis and drilling-support tools. The setup of the infrastructure and software worked surprisingly well because of permanent communication between all stakeholders in the organization. The fully operational status was reached without the need for any capital expenditure, and the operating costs are low because of nearly no additional personnel requirements for the operator. The organizational changes to increase collaboration and support in the dispersed organization are harder to implement. Especially the development of an up-to-date skill map of the drilling-skill pool is a challenge. The methodology defining how and when to escalate a support request upward in the operator’s organization was proved to work satisfactorily. When operational problems were encountered, by acting as a knowledge broker, the central organization drew from its worldwide skill pool to organize problem-specific multidisciplinary support for problem-solving, peer review, and functional sign-off for program changes. These “on-call” teams ensured that the knowledge of the organization was leveraged and experience shared. It enabled the head-office organization to provide resources to assist in following up that the analysis of positive and negative events will be performed properly and result in lessons learned and updated best practice.
|File Size||498 KB||Number of Pages||11|
Arnaout, A., Zoellner, P., and Johnstone, N. et al. 2013. Intelligent Data Quality Control of Real-Time Rig Data. Presented at the SPE Middle East Intelligent Energy Conference and Exhibition, Manama, Bahrain, 28–30 October. SPE-167437-MS. http://dx.doi.org/10.2118/167437-MS.
Booth, J. E. 2011. Real-Time Drilling Operation Centers: A History of Functionality and Organizational Purpose, The Second Generation. SPE Drill & Compl 26 (2): 295. SPE-126017-PA. http://dx.doi.org/10.2118/126017-PA.
Canadian Space Agency. 1995. Bridging Two Worlds—Canadian Astronauts as Capcoms, http://www.asc-csa.gc.ca/eng/astronauts/capcom.asp (accessed 19 October 2013).
Cayeux, E. and Daireaux, B. 2009. Early Detection of Drilling Conditions Deterioration Using Real-Time Calibration of Computer Models: Field Example From North Sea Drilling Operations. Presented at the SPE/IADC Drilling Conference and Exhibition, Amsterdam, 17–19. SPE-119435-MS. http://dx.doi.org/10.2118/119435-MS.
Cayeux, E., Daireaux, B., Dvergsnes, E. W. et al. 2012a. An Early Warning System for Identifying Drilling Problems: An Example From a Problematic Drill-Out Cement Operation in the North Sea. Presented at the SPE/IADC Drilling Conference and Exhibition, San Diego, California, 6–8 March. SPE-150942-MS. http://dx.doi.org/10.2118/150942-MS.
Cayeux, E., Daireaux, B., Dvergsnes, E. W. et al. 2012b. Early Symptom Detection Based on Real-Time Evaluation of Downhole Conditions: Principles and Results From Several North Sea Drilling Operations. Presented at the SPE Intelligent Energy International, Utrecht, The Netherlands, 27–29 March. SPE-150422-MS. http://dx.doi.org/10.2118/150422-MS.
De Wardt, J. P. 2013. Industry Analogies for Successful Implementation of Drilling Systems Automation and Real-Time Operating Centers. Presented at the SPE/IADC Drilling Conference and Exhibition, Amsterdam, 5–7 March. SPE-163412-MS. http://dx.doi.org/10.2118/163412-MS.
Hayden, H. T. 1995. Maneuver Warfare in the US Marine Corps. Greenhill Books.
Jones, J. F., Tucker, S., and Sheehy, T. 2011. Well Test Highlights Benefits of Real-Time Infrastructure in Land Drilling Operations. The American Oil and Gas Reporter, January.
Le, D. 2012. Case-Based Reasoning Technology Used to Provide Early Indications of Potential NPT-Related Problems While Drilling the Viking. Presented at the SPE Canadian Unconventional Resources Conference, Calgary, 30 October–1 November. SPE-162866-MS. http://dx.doi.org/10.2118/162866-MS.
Raja, H., Sørmo, H., and Vinther, M. L. 2011. Case-Based Reasoning: Predicting Real-Time Drilling Problems and Improving Drilling Performance. Presented at the SPE Middle East Oil and Gas Show and Conference, Manama, Bahrain, 6–9 March.
Thonhauser, G., Wallnoefer, G., Mathis, W. et al. 2007. Use of Real-Time Rig-Sensor Data to Improve Daily Drilling Reporting, Benchmarking and Planning: A Case Study. Drill & Compl 22 (3): 217–226. SPE-099880-PA. http://dx.doi.org/10.2118/099880-PA.
van Oort, E., Taylor, E., and Thonhauser, G. 2008. Real-Time Rig Activity Detection Helps Identify and Minimize Invisible Lost Time. World Oil, 39–47.
van Oort, E., Griffith, J., and Schneider, B. 2011. How to Accelerate Drilling Learning Curves. Presented at the SPE/IADC Drilling Conference and Exhibition, Amsterdam, 1–3 March. SPE-140333-MS. http://dx.doi.org/10.2118/140333-MS.
van Oort, E. and Brady, K. 2011. Case-Based Reasoning System Predicts Twist-Off in Louisiana Well Based on Mideast Analog. World Oil, 41–45.