套管综合磨损效率模型研究

doi:10.3969/J. ISSN.1006-768X.2022.04.06

钻采工艺 ›› 2022, Vol. 45 ›› Issue (4): 38-43.DOI: 10.3969/J. ISSN.1006-768X.2022.04.06

套管综合磨损效率模型研究

谭雷川^１，钟广荣^２，高德利^３（中国科学院院士）

１中国石油集团川庆钻探工程有限公司川西钻探公司２中国石油集团川庆钻探工程有限公司川东钻探公司３石油工程教育部重点实验室· 中国石油大学（北京）

出版日期:2022-07-25 发布日期:2022-09-06
作者简介:谭雷川(1991-) , 博士, 工程师, 主要从事油气井管柱力学与控制工程等方面的研究工作。地址: ( 610051 ) 四川省成都市成华区华油路 143 号川庆钻探川西钻探公司, 电话:15680815781 , E-mail: tanleichuan0220@ 126. com。
基金资助:
国家自然科学基金项目“ 页岩和致密油气田高效开发建井基础研究” (编号: U1762214) ;川庆钻探科技项目“ 故障复杂预防与治理技术研究与试验”(编号: CQ2021 B- 41-Z3-3)。

Study on Casing Comprehensive Wear Efficiency Model

TAN Leichuan¹ , ZHONG Guangrong², GAO Deli³

1 . Chuanxi Drilling Company, CNPC Chuanqing Drilling Engineering Co. , Ltd. , Chengdu, Sichuan 610051, China; 2.Chuandong Drilling Company, CNPC Chuanqing Drilling Engineering Co. , Ltd. , Chongqing 401120, China; 3. MOE KeyLaboratory ofPetroleum Engineering, China University ofPetroleum(Beijing) , Beijing 102249, China

Online:2022-07-25 Published:2022-09-06

摘要/Abstract

摘要： 随着深井、超深井、大位移井钻井技术的发展，套管磨损问题变得越来越突出，严重的套管磨损会导致井下管柱强度的降低，影响钻井工程的安全性与可靠性。文章在前人所建立的单一磨损效率模型的基础上建立了综合磨损效率模型。该模型依赖三个系数：套管磨损效率系数E_c，钻柱接头磨损效率系数 E_tj，综合磨损效率系数E_a。该模型预测了摩擦副磨损体积，并引进了套管磨损效率比（E_c /E_a）和套管磨损体积（V_c /V_fp）来衡量套管在不同材料、不同钻井液和不同接触力下相对于摩擦副的相对磨损效率以及总摩擦副磨损体积已知的情况下的套管磨损体积，并进行了22组磨损测试试验来校准该模型参数。实验结果表明：对于同一钢级摩擦副，水基钻井液会加剧摩擦副的磨损；较高密度的石灰石加重剂会导致钻杆接头磨损速率大于套管磨损速率；在相同的套管磨损体积比增量条件下，水基钻井液中套管磨损效率比增幅要稍大于油基钻井液中的效率比增幅；对已钻井H1井实钻参数反演套管磨损效率系数，对类似工况下具有相同井身结构的待钻井H2井进行套管磨损预测，文章建立的套管综合磨损效率模型考虑了钻柱接头的磨损情况，计算结果略小于前人建立的套管磨损效率模型。该模型能使套管磨损预测结果更加精确，有助于提高超深井，大位移井裸眼延伸极限的评估，使得钻井效益最大化。

关键词: 综合磨损效率, 套管磨损预测, 磨损测试, 套管磨损效率比, 钻井工程

Abstract: With the development of drilling technology for deep well, ultra-deep well and extended reach well, the problemof casing wear has become more and more prominent. Serious casing wear will lead to the reduction of downhole string strength and affect the safety and reliability of drilling engineering. In this study, a comprehensive casing wear efficiency model is established on the basis of the single wear efficiency model built by previous researchers. The comprehensive wear efficiency model relies on three coefficients, i, e, E_c casing wear efficiency coefficient, E_tj joint wear efficiency coefficient, and E_a comprehensive wear efficiency coefficient. The model predicts the friction pairs wear volume. The casing wear efficiency ratio ( E_c /E_a) and the casing wear volume ratio ( V_c /V_fp) are introduced as a comparative measure of casing wear efficiency relative to the friction pairs wear efficiency under different materials, drilling fluids, and contact forces as well as to calculate the casing wear volume as the total friction pairs wear volume is obtained. The model was calibrated using 22 experiments. The experimental results show that for the friction pairs with same steel grade, water-based drilling fluid will aggravate the wear of the friction pairs. High density limestone weighting agent will cause the wear rate of drill pipe joint to be greater than that of casing. Under the same casing wear volume ratio increment, the increase of casing wear efficiency ratio in water-based drilling fluid is slightly larger than that in oil-based drilling fluid. The casing wear efficiency coefficient is inversed from the actual drilling parameters of the drilled Well H1 , and the casing wear prediction is carried out for Well H2 to be drilled with the same wellbore structure under similar working conditions. The calculation results of the comprehensive casing wear efficiency model established in this paper are slightly smaller than those established by predecessors.

Key words: comprehensive wear efficiency, casing wear prediction, wear test, casing wear efficiency ratio, drilling engineering

谭雷川, 钟广荣, 高德利（中国科学院院士）. 套管综合磨损效率模型研究[J]. 钻采工艺, 2022, 45(4): 38-43.

TAN Leichuan , ZHONG Guangrong, GAO Deli. Study on Casing Comprehensive Wear Efficiency Model[J]. Drilling & Production Technology, 2022, 45(4): 38-43.

参考文献

[1] LEWIS R W, WRIGHT T R Jr. Casing wear: some causes, effects and control measures[J] . World Oil, 1974,179(5) : 99-103.
[2] BRADLEY W B, FONTENOT J E. The prediction and control of casing wear ( includes associated papers 6398 and 6399) [J] . Journal of Petroleum Technology, 1975,27(2) : 233-245.
[3] WILLIAMSON J S. Casing wear: the effect of contact pressure[J] . Journal of Petroleum Technology, 1981, 33(12) : 2382-388.
[4] SCHOENMAKERS J M. Casing wear during drilling: simulation, prediction, and control[J] . SPE Drilling Engineering, 1987, 2(4) : 375-381 .
[5] GAO D L, SUN L Z. New method for predicting casing wear in horizontal drilling [J] . Petroleum Science and Technology, 2012, 30(9) : 883-892.
[6] SUN Lianzhong, GAO Deli, ZHU Kuanliang. Models & tests of casing wear in drilling for oil & gas[J] . Journal of Natural Gas Science and Engineering, 2012, 4: 44-47.
[7] TAN Leichuan, GAO Deli. Casing wear prediction model based on casing ellipticity in oil & gas well drilling with complex structures [J] . Journal of Applied Mechanics,2018, 85(10) : 101005.
[8] TAN Leichuan, GAO Deli, ZHOU Jinhui. Casing wear prediction with considering initial internal casing eccentricity[J] . Arabian Journal for Science and Engineering,2018, 43(5) : 2593-2603.
[9] TAN Leichuan, GAO Deli, ZHOU Jinhui, et al. Casing wear prediction model based on drill string whirling motion in extended reach drilling[ J] . Arabian Journal for Science and Engineering, 2018, 43(11) : 6325-6332.
[10] TAN Leichuan, GAO Deli, ZHOU Jinhui. A prediction model of casing wear in extended reach drilling with buckled drillstring[ J] . Journal of Applied Mechanics, 2018,85(2) : 021001 .
[11] 池明, 刘涛, 薛承文, 等. 高温高压深井套管磨损预测与剩余强度校核研究[ J] . 钻采工艺, 2021, 44(6) :1-6.
CHI Ming, LIU Tao, XUE Chengwen, et al. Research on casing wear prediction and residual strength check in high pressure high temperature deep wells[J] . Drilling & Production Technology, 2021, 44(6) : 1-6.
[12] 张鑫, 李军, 张慧, 等. 威荣区块深层页岩气井套管变形失效分析[ J] . 钻采工艺, 2021, 44(1) : 23-27.
ZHANG Xin, LI Jun, ZHANG Hui, et al. Analysis on casing deformation failure in deep shale gas wells in Weirong shale gas play[ J] . Drilling & Production Technology, 2021, 44(1) : 23-27.
[13] 周波, 毛蕴才, 汪海阁, 等. 基于非均匀载荷的注采井套管损坏机理及抗挤套管校核方法[ J] . 钻采工艺,2021, 44(2) : 9-12.
ZHOU Bo, MAO Yuncai, WANG Haige, et al. Casing damage mechanism and casing design method of injection production wells based on non-uniform load[J] . Drilling& Production Technology, 2021, 44(2) : 9-12.
[14] 高德利. 油气井管柱力学与工程[M] . 东营: 中国石油大学出版社, 2006.
GAO Deli. Downhole tubular mechanics and its applications [M] . Dongying: China University of Petroleum Press, 2006.
[15] WHITE J P, DAWSON R. Casing wear: laboratory measurements and field predictions [ J] . SPE Drilling Engineering, 1987, 2(1) : 56-62.
[16] RABINOWICZ E. Wear coefficients metals [M] //PETERSON M B, WINER W O. Wear control handbook.New York: American Society of Mechanical Engineers,1980: 476-477.
[17] ARCHAED J F. Wear theory and mechanism [M] //PETERSON M B, WINER W O. Wear control handbook.New York: American Society of Mechanical Engineers,1980: 35-88.

套管综合磨损效率模型研究

Study on Casing Comprehensive Wear Efficiency Model

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 11

编辑推荐

阅读统计

本文评价

[1]	晏琰, 段慕白, 黄浩. 基于趋势线法的钻井风险预警技术研究[J]. 钻采工艺, 2023, 46(2): 170-174.
[2]	迟焕鹏, 胡志方, 王胜建, 张家政, 吴迪, 李大勇, 薛宗安. 鄂西地区黄陵背斜页岩气钻井难点与对策[J]. 钻采工艺, 2021, 44(2): 21-25.
[3]	钱浩东, 温馨, 甘红梅, 陈思锦, 李丰成. 井筒工程“大数据”的建立与应用实践[J]. 钻采工艺, 2019, 42(2): 38-41.
[4]	杨彩凤, 孙宝江, 王宁, 高永海, 时凤霞, 蔡德军, 相恒富, 刘承贵, 李庆永. 基于ＷＰＦ的钻井工程软件开发方法[J]. 钻采工艺, 2016, 39(5): 87-88.
[5]	秦宏德, 张　果, 王孝亮, 曹思阁. 一体化钻井工程设计平台研发与实践[J]. 钻采工艺, 2015, 38(6): 24-.
[6]	齐志刚, 彭志刚, 路志平. 超深井页岩气钻井抗高温油基钻井液的研制[J]. 钻采工艺, 2015, 38(6): 66-.
[7]	戴荣东, 颜小兵, 肖　洲, 张　锐. 胜利油田致密砂岩长水平井钻井实践及认识[J]. 钻采工艺, 2015, 38(3): 16-18.
[8]	王金磊 , 伍贤柱. 页岩气钻完井工程技术现状[J]. 钻采工艺, 2012, 35(5): 7-.
[9]	刘岩生 , 赵　庆 , 蒋宏伟 , 张冬梅 , 周泊奇 , 唐纯洁. 钻井工程软件的现状及发展趋势[J]. 钻采工艺, 2012, 35(4): 38-.
[10]	田岚. 石油天然气钻井工程风险识别与评价方法[J]. 钻采工艺, 2010, 33(2): 31-33.
[11]	吉永忠, 贺彬, 胡俊德, 黄刚. 扎纳若尔油田长段泥膏盐地层钻井技术[J]. 钻采工艺, 2008, 31(1): 138-139.