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Improvement of Wired Drill Pipe Data Quality via Data Validation and Reconciliation

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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 miscalibrated 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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Acknowledgements

This work is supported by University of Stavanger, Norway. The authors wish to thank SINTEF, the Center for Integrated Operations in the Petroleum Industry and the management of National Oilwell Varco IntelliServ for their contribution and support in publishing this paper.

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Authors and Affiliations

  1. Petroleum Engineering Department, University of Stavanger, Stavanger, 4036, Norway

    Dan Sui, Olha Sukhoboka & Bernt Sigve Aadnøy

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  1. Dan Sui
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  2. Olha Sukhoboka
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  3. Bernt Sigve Aadnøy
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Correspondence to Dan Sui.

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Recommended by Associate Editor Dong-Hua Zhou

Dan Sui received the Ph.D. degree in mechanical engineering from National University of Singapore, in 2006. She is an associated professor at Department of Petroleum Engineering, University of Stavanger, Norway. She has then worked as a researcher at Norweigian University of Science and Technology and SINTEF, Norway.

Her research interests include drilling, new energy production and modelling.

Olha Sukhoboka received the M. Sc. degree in mining (well drilling) from the Ivano-Frankivsk National Technical University of Oil and Gas, Ukraine in 2012. She is currently a Ph. D. degree candidate at the Department of Petroleum Engineering, University of Stavanger, Norway. She is a member of SPE (society of petroleum engineers).

Her 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.

Bernt Sigve Aadnøy received the B. Sc. degree in mechanical engineering from the University of Wyoming, USA in 1978, the M. Sc. degree in control engineering from the University of Texas, USA in 1979, and the Ph.D. degree in geomechanics from the Norwegian Institute of Technology, Norway in 1987. He is a professor of petroleum engineering at the University of Stavanger, Norway. He holds a mechanical engineering degree from Stavanger technology, Norway. Before going to academia, he worked for Phillips Petroleum, Rogaland Research, Statoil and Saga Petroleum. He has published more than 200 papers, mostly on rock mechanics and well technology but also in reservoir engineering, production and automation, and holds 10 patents. He is the author of several books such as Mechanics of Drilling, Modern Well Design, Petroleum Rock Mechanics, and is technical editor for several journals. He was the recipient of the 1999 SPE Drilling Engineering Award, is a 2015 SPE (society of petroleum engineers)/AIME (the American institute of mining and metallurgical engineers) honorary member and a 2015 SPE distinguished member.

His research interests include drilling engineering, control engineering, mechanical engineering, modeling and simulation and new drilling technology applications.

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Sui, D., Sukhoboka, O. & Aadnøy, B.S. Improvement of Wired Drill Pipe Data Quality via Data Validation and Reconciliation. Int. J. Autom. Comput. 15, 625–636 (2018). https://doi.org/10.1007/s11633-017-1068-9

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  • DOI: https://doi.org/10.1007/s11633-017-1068-9

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