A system with adaptive weight allocation algorithm for accuracy improving

Yu Liu*, Liao Liao Zeng, Yong Le Lu, Lei Lei Li, Ying Jun Pan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Drilling processes in the oil industry utilize directional measurement-while-drilling (MWD) instruments to provide realtime monitoring of the position and the orientation of the bottom hole assembly (BHA). This article aims at describing a system and method incorporated with solid-state vibration angular rate sensors(SVARS) and accelerometers for improving the surveying accuracy. These sensors are mounted in a housing with their sensing axes generally parallel to one another and with their directions of least acceleration sensitivity generally spread out certain degrees. The survey tool further includes a controller with adaptive weight allocation algorithm to calculate a weighted average of the detected angular rotation rates from the plurality of rotation sensors. The adaptive weight allocation algorithm can significantly enhance surveying accuracy in the SVARS-based MWD surveying system.

Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Information Sciences and Interaction Sciences, ICIS 2010
Pages476-479
Number of pages4
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event3rd International Conference on Information Sciences and Interaction Sciences, ICIS 2010 - Chengdu, China
Duration: 23 Jun 201025 Jun 2010

Publication series

NameProceedings - 3rd International Conference on Information Sciences and Interaction Sciences, ICIS 2010

Conference

Conference3rd International Conference on Information Sciences and Interaction Sciences, ICIS 2010
Country/TerritoryChina
CityChengdu
Period23/06/1025/06/10

Keywords

  • Adaptive weight allocation algorithm
  • Inertial positioning
  • Solid-state vibration angular rate sensor(SVARS)

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