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Measurement of BHA Vibration Using MWD

Authors: D. A. Close; S. C. Owens; J. D. MacPherson;

Measurement of BHA Vibration Using MWD

Abstract

Abstract Excessive drill string vibration can lead to partial or catastrophic failure of bottom hole assembly (BHA) components. This paper presents data from a microprocessor based downhole vibration data acquisition and recording system, located within a host MWD (Measurement While Drilling) collar in the BHA. Four case studies of vibration levels attained during commercial drilling operations are presented. These examples include vibration monitoring during reaming, drilling a casing shoe, and drilling new formation. Generally, lateral accelerations were an order of magnitude greater than longitudinal accelerations. In one example, catastrophic failure of MWD components resulted from sustained high-level lateral vibrations. Data collected to-date has been used to optimize BHA components and define the down hole vibrational environment. Future information obtained by the monitoring system will be of value in verifying and calibrating computer models.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
35
Top 10%
Top 1%
Average
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