Evolution of static and kinetic friction in a horizontal well using an adaptive model-based observer: Field validation

被引:0
|
作者
Kandala, Shanti Swaroop [1 ]
Shor, Roman [1 ]
机构
[1] Univ Calgary, Dept Chem & Petr Engn, Calgary, AB T2N 1N4, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Friction coefficients; Drillstring dynamics; Bit off-bottom; Soft sensor; SELF-EXCITED VIBRATIONS; STICK-SLIP; BIT; MITIGATION; DYNAMICS; DRAG;
D O I
10.1016/j.petrol.2021.109663
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Evolution of static and kinetic friction coefficients across the depth of a horizontal wellbore and field validation against the downhole parameters is presented in this paper. It has been observed in the literature that stick-slip oscillations exist in drill strings even with bit off-bottom and persist with the bit on bottom. In the past, various lumped mass models have failed to explain this phenomenon, as they have only considered bit-rock interaction to be the main reason for the stick-slip oscillations. The model considered in this study was used previously to estimate the friction factors at particular connections with bit off-bottom. For effective estimation of the downhole parameters, the model employs an adaptive soft sensor, robust to capture the disturbances occurring at the downhole. Using only the topside measurements (i.e., surface measurements), downhole RPM is estimated along with the evolution of friction coefficients (static mu(s) and kinetic (mu(k))) using the soft sensor. For obtaining the friction factors profile, those values of mu(s) and mu(k) that converge and remain stable for a specified time are considered. The model is first validated against the downhole RPM data obtained for a well in North America. It was observed that the estimates of the downhole RPM obtained using the model are in close agreement with that of the actual data. Next, the model was employed to obtain reasonable downhole RPM estimates for another well in North America where the downhole data is unavailable.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] ADAPTIVE MODEL-BASED CONTROL USING NEURAL NETWORKS
    MILLS, PM
    ZOMAYA, AY
    TADE, MO
    INTERNATIONAL JOURNAL OF CONTROL, 1994, 60 (06) : 1163 - 1192
  • [22] A rate control using adaptive model-based quantization
    Kim, Seonki
    Kim, Tae-Jung
    Lee, Sang-Bong
    Suh, Jae-Won
    ADVANCES IN IMAGE AND VIDEO TECHNOLOGY, PROCEEDINGS, 2006, 4319 : 722 - +
  • [23] Validation of model-based techniques for characterization of surface sediments at Khadakwasala Lake using field Data
    Sadalage, Jyoti
    Sharma, Rashmi
    Das, Arnab
    Joshi, Yashwant
    JOURNAL OF INDIAN GEOPHYSICAL UNION, 2019, 23 (05): : 460 - 468
  • [24] An Adaptive Compensation Method of LuGre Model-based Friction for Electromechanical Actuator Servo System
    Chen, Yufeng
    Lv, Xinglin
    Zhang, Jinpeng
    Zhang, Wenjing
    2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 2168 - 2173
  • [25] Model-Based Adaptive Command Filtering Control of an Electrohydraulic Actuator With Input Saturation and Friction
    Ye, Ning
    Song, Jinchun
    Ren, Guangan
    IEEE ACCESS, 2020, 8 : 48252 - 48263
  • [26] Validation of horizontal well models using a physical model of heat flow in anisotropic conductor
    Sabeh, Michael A.
    Enick, Robert M.
    SPE Advanced Technology Series, 1995, 3 (01): : 173 - 179
  • [27] Model-Based Throttle Control using Static Compensators and Pole Placement
    Thomasson, A.
    Eriksson, L.
    OIL & GAS SCIENCE AND TECHNOLOGY-REVUE D IFP ENERGIES NOUVELLES, 2011, 66 (04): : 717 - 727
  • [28] Adaptive optics control using model-based reinforcement learning
    Nousiainen, Jalo
    Rajani, Chang
    Kasper, Markus
    Helin, Tapio
    OPTICS EXPRESS, 2021, 29 (10) : 15327 - 15344
  • [29] ADAPTIVE MODEL-BASED POLARIMETRIC DECOMPOSITION USING CORRELATION COEFFICIENT
    Latrache, H.
    Ouarzeddine, M.
    Souissi, B.
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 4726 - 4729
  • [30] Evolutionary Recognition of Marker Using Adaptive Model-based Matching
    Gao Feng
    Li Yan
    Zhu Hongying
    Mamoru, Minami
    2008 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY, VOLS 1-5, 2008, : 2098 - +