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International Journal of Automation and Computing 2018, Vol. 15 Issue (5) :625-636    DOI: 10.1007/s11633-017-1068-9
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Improvement of Wired Drill Pipe Data Quality via Data Validation and Reconciliation
Dan Sui, Olha Sukhoboka, Bernt Sigve Aadnøy
Petroleum Engineering Department, University of Stavanger, Stavanger 4036, Norway
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Abstract Wired drill pipe (WDP) technology is one of the most promising data acquisition technologies in today's oil and gas industry. For the first time it allows sensors to be positioned along the drill string which enables collecting and transmitting valuable data not only from the bottom hole assembly (BHA), but also along the entire length of the wellbore to the drill floor. The technology has received industry acceptance as a viable alternative to the typical logging while drilling (LWD) method. Recently more and more WDP applications can be found in the challenging drilling environments around the world, leading to many innovations to the industry. Nevertheless most of the data acquired from WDP can be noisy and in some circumstances of very poor quality. Diverse factors contribute to the poor data quality. Most common sources include mis-calibrated sensors, sensor drifting, errors during data transmission, or some abnormal conditions in the well, etc. The challenge of improving the data quality has attracted more and more focus from many researchers during the past decade.
This paper has proposed a promising solution to address such challenge by making corrections of the raw WDP data and estimating unmeasurable parameters to reveal downhole behaviors. An advanced data processing method, data validation and reconciliation (DVR) has been employed, which makes use of the redundant data from multiple WDP sensors to filter/remove the noise from the measurements and ensures the coherence of all sensors and models. Moreover it has the ability to distinguish the accurate measurements from the inaccurate ones. In addition, the data with improved quality can be used for estimating some crucial parameters in the drilling process which are unmeasurable in the first place, hence provide better model calibrations for integrated well planning and realtime operations.
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Received: 2015-09-21; published: 2016-09-29
Corresponding Authors: Dan Sui     Email: dan.sui@uis.no
About author: Dan Sui research interests include drilling, new energy production and modelling. E-mail:dan.sui@uis.no (Corresponding author) ORCID iD:0000-0002-5055-7435;Olha Sukhoboka research interests include investigation of the temperature and pressure impact on the drilling fluid properties,as well as modelling of the temperature dependent drilling parameters. E-mail:olha.sukhoboka@uis.no;Bernt Sigve Aadnøy research interests include drilling engineering,control engineering,mechanical engineering,modeling and simulation and new drilling technology applications. E-mail:bernt.aadnoy@uis.no
Cite this article:   
Dan Sui, Olha Sukhoboka, Bernt Sigve Aadnøy. Improvement of Wired Drill Pipe Data Quality via Data Validation and Reconciliation[J]. International Journal of Automation and Computing , vol. 15, no. 5, pp. 625-636, 2018.
http://www.ijac.net/EN/10.1007/s11633-017-1068-9      或     http://www.ijac.net/EN/Y2018/V15/I5/625
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