Next Article in Journal
Fiber-Optic Surface Temperature Sensor Based on Modal Interference
Next Article in Special Issue
Weak and Dynamic GNSS Signal Tracking Strategies for Flight Missions in the Space Service Volume
Previous Article in Journal
Safety and Traceability in Patient Healthcare through the Integration of RFID Technology for Intravenous Mixtures in the Prescription-Validation-Elaboration-Dispensation-Administration Circuit to Day Hospital Patients
Previous Article in Special Issue
On Inertial Body Tracking in the Presence of Model Calibration Errors
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(8), 1186; doi:10.3390/s16081186

A Long-Term Performance Enhancement Method for FOG-Based Measurement While Drilling

School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China
*
Author to whom correspondence should be addressed.
Academic Editor: Jörg F. Wagner
Received: 23 March 2016 / Revised: 13 July 2016 / Accepted: 19 July 2016 / Published: 28 July 2016
(This article belongs to the Special Issue Inertial Sensors and Systems 2016)
View Full-Text   |   Download PDF [3177 KB, uploaded 28 July 2016]   |  

Abstract

In the oil industry, the measurement-while-drilling (MWD) systems are usually used to provide the real-time position and orientation of the bottom hole assembly (BHA) during drilling. However, the present MWD systems based on magnetic surveying technology can barely ensure good performance because of magnetic interference phenomena. In this paper, a MWD surveying system based on a fiber optic gyroscope (FOG) was developed to replace the magnetic surveying system. To accommodate the size of the downhole drilling conditions, a new design method is adopted. In order to realize long-term and high position precision and orientation surveying, an integrated surveying algorithm is proposed based on inertial navigation system (INS) and drilling features. In addition, the FOG-based MWD error model is built and the drilling features are analyzed. The state-space system model and the observation updates model of the Kalman filter are built. To validate the availability and utility of the algorithm, the semi-physical simulation is conducted under laboratory conditions. The results comparison with the traditional algorithms show that the errors were suppressed and the measurement precision of the proposed algorithm is better than the traditional ones. In addition, the proposed method uses a lot less time than the zero velocity update (ZUPT) method. View Full-Text
Keywords: measurement while drilling (MWD); fiber optic gyroscope (FOG); inertial navigation system (INS); minimum curvature method (MCM); Kalman filter measurement while drilling (MWD); fiber optic gyroscope (FOG); inertial navigation system (INS); minimum curvature method (MCM); Kalman filter
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Zhang, C.; Lin, T. A Long-Term Performance Enhancement Method for FOG-Based Measurement While Drilling. Sensors 2016, 16, 1186.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top