A Novel Approach to Predict Collapse Volume using Image Processing

Abstract

Ensuring wellbore stability is of major importance during any well completion. Wellbore collapse as a result of severe borehole breakouts represents a major problem in many cases. In order to quantify the risk associated to wellbore collapse a reliable estimate of the collapse volume is necessary. In this study, a novel approach determining the area/volume of collapse failure by using image processing techniques, is presented. The image processing matches results from exemplary data sets, based on a Mohr Coulomb failure criterion, where an analytical solution exists. Since image processing can be applied to any result set, the proposed approach is independent of any failure criterion and very versatile. The determination of breakout width and collapse volume can be used as a proactive tool to estimate the required minimum mud pressure to minimize the resulting collapse volume.

Department(s)

Geosciences and Geological and Petroleum Engineering

Second Department

Mining Engineering

Comments

Ministry of Higher Education and Scientific Research, Grant None

International Standard Book Number (ISBN)

978-151085758-2

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 American Rock Mechanics Association (ARMA), All rights reserved.

Publication Date

01 Jan 2017

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