Extended Kalman filters and piece-wise linear segmentation for the processing of drilling data

This research is oriented to the development and implementation of signal processing techniques for the analysis of drilling data with a focus on adaptive filters and segmentation schemes. The thesis is divided into two distinct parts; the first part deals with the use of extended Kalman filters to...

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Bibliographic Details
Main Author: Soroush, Amirali
Format: Thesis
Published: Curtin University 2012
Online Access:http://hdl.handle.net/20.500.11937/57584
Description
Summary:This research is oriented to the development and implementation of signal processing techniques for the analysis of drilling data with a focus on adaptive filters and segmentation schemes. The thesis is divided into two distinct parts; the first part deals with the use of extended Kalman filters to estimate in real-time the instantaneous angular velocity of the drilling bit using downhole measurements, while the second part is devoted to a novel method for the segmentation of piece-wise linear signals corrupted with noise.