An approach for wellbore failure analysis using rock cavings and image processing

被引:13
|
作者
Skea, Christopher [1 ]
Rezagholilou, Alireza [1 ]
Far, Pouria Behnoud [2 ]
Gholami, Raoof [1 ]
Sarmadivleh, Mohammad [1 ]
机构
[1] Curtin Univ, Dept Petr Engn, Perth, WA, Australia
[2] Amirkabir Univ Technol, Dept Petr Engn, Tehran, Iran
关键词
Caving shape; Cuttings; Drilling; Image analysis; Wellbore failures; Roundness; Sphericity;
D O I
10.1016/j.jrmge.2018.04.011
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
There have been interests to link different cuttings/cavings to various wellbore failure types during drilling. This concept is essential when caliper and image logs are not available. Identification of wellbore failure during drilling gives more chance of immediate actions before wireline logging program. In this paper, an approach was presented based on the image processing of ditch cuttings. This approach uses the sphericity and roundness of cuttings as input data to classify caving types and subsequently determine the dominant failure type. Likewise, common definitions of cavings were discussed initially before a new criterion is suggested. This quantitative criterion was examined by observations from caliper and acoustic image logs as well. The proposed approach and criterion were implemented on ditch cuttings taken from a well in Western Australia. Results indicate that the primary failure is shear failure (breakout) due to high levels of angular cavings. However, another failure due to the fluid invasion into pre-existing fractures was also recorded by blocky cavings. (C) 2018 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences. Production and hosting by Elsevier B.V.
引用
收藏
页码:865 / 878
页数:14
相关论文
共 50 条
  • [41] Survey of landslide and slope failure using evolutionary image processing
    Fujita, Sho
    Furuta, Hitoshi
    Tsukiyama, Isao
    Uematsu, Koji
    CJK-OSM 4: The Fourth China-Japan-Korea Joint Symposium on Optimization of Structural and Mechanical Systems, 2006, : 243 - 248
  • [42] An image processing approach for intensity detection of tropical cyclone using feature vector analysis
    Kar, Chinmoy
    Banerjee, Sreeparna
    INTERNATIONAL JOURNAL OF IMAGE AND DATA FUSION, 2018, 9 (04) : 338 - 348
  • [43] Study on Corona Activity Using an Image Processing Approach
    Prasad, D. Shakthi
    Reddy, B. Subba
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2017, 53 (04) : 4008 - 4014
  • [44] An Approach to Maintain Attendance using Image Processing Techniques
    Yuvaraj, C. B.
    Srikanth, M.
    Kumar, V. Santhosh
    Murthy, Y. V. Srinivasa
    Koolagudi, Shashidhar G.
    2017 TENTH INTERNATIONAL CONFERENCE ON CONTEMPORARY COMPUTING (IC3), 2017, : 372 - 374
  • [45] An approach to automated detection of structural failure using chronological image analysis in temporary structures
    Jung, Younghan
    Oh, Hyounkyun
    Jeong, Michael Myung
    INTERNATIONAL JOURNAL OF CONSTRUCTION MANAGEMENT, 2019, 19 (02) : 178 - 185
  • [46] Drilling in Complex Pore Pressure Regimes: Analysis of Wellbore Stability Applying the Depth of Failure Approach
    Radwan, Ahmed E.
    ENERGIES, 2022, 15 (21)
  • [47] Flame analysis using image processing techniques
    Jie, Albert Chang Her
    Zamli, Ahmad Faizal Ahmad
    Zulkifli, Ahmad Zulazlan Shah
    Yee, Joanne Lim Mun
    Lim, Mooktzeng
    INTERNATIONAL CONFERENCE ON INNOVATIVE TECHNOLOGY, ENGINEERING AND SCIENCES 2018 (ICITES 2018), 2018, 342
  • [48] Analysis of Sloshing in Tanks Using Image Processing
    Kamilla, Rahul
    Nagarajan, Vishwanath
    IMAGE ANALYSIS AND RECOGNITION, ICIAR 2017, 2017, 10317 : 651 - 659
  • [49] Cellular Image Processing using Morphological Analysis
    Roy, Mousomi
    Chakraborty, Shouvik
    Mali, Kalyani
    Chatterjee, Sankhadeep
    Banerjee, Soumen
    Mitra, Shibjit
    Naskar, Rajarshee
    Bhattacharjee, Anubhab
    2017 IEEE 8TH ANNUAL UBIQUITOUS COMPUTING, ELECTRONICS AND MOBILE COMMUNICATION CONFERENCE (UEMCON), 2017, : 237 - 241
  • [50] Oil Quality Analysis Using Image Processing
    Daimiwal, Nivedita
    Shriram, Revati
    Shinde, Harish
    Kulkarni, Radhika
    Galewad, Apeksha
    SMART SENSORS MEASUREMENT AND INSTRUMENTATION, CISCON 2021, 2023, 957 : 129 - 137