Cuttings analysis in drilling performance evaluation and formation identification

Kyzym, Igor (2018) Cuttings analysis in drilling performance evaluation and formation identification. Masters thesis, Memorial University of Newfoundland.

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This investigation describes multiple methods for drilling cuttings collection in laboratory and field conditions. The methodology for cuttings sample preparation and its following analysis is also suggested. The analysis mainly focuses on cuttings size, ways of its graphical and numerical representation and its relationship with drilling parameters. Research shows that such parameter as a coarseness index can be easily calculated and can be used as a reliable indicator of the cuttings size. The relationship between rate of penetration, weight on bit, flow rate, bottom hole pressure, torque on bit, mechanical specific energy and cuttings size have been established in this research. Also, the overall effect of these parameters on drilling efficiency have been evaluated. Both, field and laboratory, data shows good correlation between the above-mentioned parameters and coarseness index. Research also shows that cuttings can be used for formation identification and construction of geological cross-sections. Analysis of the field and laboratory data indicates that type and strength of the formation affect drilling parameters. It also affects size distribution of generated cuttings and its relationship with drilling parameters. This shows that cuttings can be used as a valuable source of information in evaluation of drilling performance, drilled formation and can greatly help with better understanding of the drilling mechanism.

Item Type: Thesis (Masters)
Item ID: 13200
Additional Information: Includes bibliographical references (pages 103-107).
Keywords: drilling, cuttings analysis, performance, rate of penetration
Department(s): Engineering and Applied Science, Faculty of
Date: May 2018
Date Type: Submission
Library of Congress Subject Heading: Borings -- Analysis; Geology, Stratigraphic -- Methodology; Boring -- Methodology

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