Enhance the Drilling & Tripping Performance on Automated Rigs with fully automated performance measurement
- Sameh El Afifi (TDE International Ltd) | Bassam Albassam (TDE International Ltd) | Fadi Atef Fahmy (Abu Dhabi Marine Operating Co)
- Document ID
- Society of Petroleum Engineers
- SPE Middle East Intelligent Oil and Gas Conference and Exhibition, 15-16 September, Abu Dhabi, UAE
- Publication Date
- Document Type
- Conference Paper
- 2015. Society of Petroleum Engineers
- 1.10 Drilling Equipment, 1.6 Drilling Operations, 1.10 Drilling Equipment, 1.13 Drilling Automation
- automated rig performance measurement, Automatied Operations Recognition System
- 6 in the last 30 days
- 431 since 2007
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This paper describes the development and implementation of a unique new capability to automatically measure the performance of drilling crews and Invisible Lost Time; the supporting technology service makes it possible to carry out detailed comparisons of the performance of crews across a large number of installations. This technology service uses rig sensor data to automatically generate an objective description of the drilling process using the patented "Automated Operations Recognition System" without the need of additional personnel or equipment on the rig site.
This simply will help improving rig performance of drilling and tripping operations and allow benchmarking and comparison between different rigs and different crews etc.
The service is used to;
Analyze the drilling process at a high level of quality and detail which complements traditional morning reporting. The patented "Automatized Operations Recognition System" has the potential to significantly reduce total well time by setting standardized and objective benchmarks in order to identify non-productive or "Invisible Lost Time", otherwise known as "ILT" and to maintain an increase in performance.
Uses a well-defined set of Key Performance Indicators (KPI) to measure drilling performance accurately in order to make Invisible Lost Time visible.
Compare actual performance with predefined practices, and then maintain performance-optimized procedures once they are in place.
Optimize an organization’s performance through benchmarking and trend analysis using Automated Drilling Performance Measurement system.
Among many of the examples presented in the paper will be one on the variation in the tripping slip to slip connection time and drilling weight to weight time of 4 wells on 3 rigs.
In addition, the variation among different drilling crews on each rig which showed huge differences when comparing similar operations. The paper will also present the potential savings after implementing this initiative.
|File Size||3 MB||Number of Pages||12|
Case History: Automated Drilling Performance Measurement of Crews and Drilling Equipment Ketil Andersen, Per Arild Sjøwall, StatoilHydro, Eric Maidla, Buddy King, Nexen Data Solutions Inc., Gerhard Thonhauser, Philipp Zöllner, TDE Thonhauser Data Engineering GmbH Copyright 2009, SPE/IADC Drilling Conference and Exhibition This paper was prepared for presentation at the SPE/IADC Drilling Conference and Exhibition held in Amsterdam, The Netherlands, 17–19 March 2009.
A. Arnaout, P. Zoellner, TDE Thonhauser Data Engineering; N. Johnstone, TDE Norge AS; G. Thonhauser, Montanuniverisata Leoban, "Intelligent Data Quality Control of Real-time Rig Data", SPE 167437 presented at SPE Middle East Intelligent Energy Conference and Exhibition held in Dubai, UAE, October 2013
Eric Maidla, William Maidla, TDE Petroleum Data Solutions Inc. (proNova), "Rigorous Drilling Nonproductive-Time Determination and Elimination of Invisible Lost Time: Theory and Case Histories", SPE 138804 presented at the 2010 SPE Latin American & Caribbean Petroleum Engineering Conference held in Lima, Peru, December 2010
G. Thonhauser, University of Leoben, W. Mathis, TDE Thonhauser Data Engineering GmbH, "Automated Reporting Using Rig Sensor Data Enables Superior Drilling Project Management", SPE 103211 presented at the 2006 SPE Annual Technical Conference and Exhibition held in San Antonio, Texas, U.S.A., 24–27 September 2006.
Richard Kucs, OMV, Gerhard Thonhauser, TDE, Matt Regan, Kongsberg, John Hanson, IDS, Jonny Haugen, Sekal, Odd Erik Gundersen, Verdande, "An Holistic Approach to Improving Drilling Performance in Realtime: Integrating Measured, Analysed, Modelled and Reported Drilling Data", SPE/IADC-173115-MS presented at SPE/IADC Drilling Conference and Exhibition held in London, United Kingdom, 17–19 March 2015.