热致形状记忆“智能”型堵漏剂的制备与特性实验

doi:10.7623/syxb202001010

石油学报 ›› 2020, Vol. 41 ›› Issue (1): 106-115.DOI: 10.7623/syxb202001010

热致形状记忆“智能”型堵漏剂的制备与特性实验

暴丹¹, 邱正松¹, 叶链¹, 钟汉毅¹, 赵欣¹, 邱维清², 王宝田², 郭保雨²

1. 中国石油大学(华东)石油工程学院山东青岛 266580;
2. 中国石油化工股份有限公司胜利石油工程有限公司钻井工艺研究院山东东营 257064

收稿日期:2019-01-08 修回日期:2019-11-22 出版日期:2020-01-25 发布日期:2020-02-06
通讯作者: 邱正松,男,1964年8月生,1985年获华东石油学院学士学位,2001年获石油大学(华东)博士学位,现为中国石油大学(华东)教授、博士生导师,主要从事井壁稳定理论与防塌防漏钻井液技术、复杂深层超高温超深井钻井液技术、海洋深水钻井液完井液技术等科研及教学工作。Email:qiuzs63@sina.com
作者简介:暴丹,男,1990年5月生,2014年获中国石油大学(华东)学士学位,现为中国石油大学(华东)博士研究生,主要从事钻井液防漏堵漏相关研究工作。Email:18765920408@163.com
基金资助:
国家重点基础研究发展计划（973）项目（2015CB251205）、国家自然科学基金项目（No.51974354）、国家科技重大专项（2017ZX05032-004-005，2016ZX05020-004）和中央高校基本科研业务费专项（18CX06016A）资助。

Preparation and characteristic experiments of intelligent lost circulation materials based on thermally shape memory polymer

Bao Dan¹, Qiu Zhengsong¹, Ye Lian¹, Zhong Hanyi¹, Zhao Xin¹, Qiu Weiqing², Wang Baotian², Guo Baoyu²

1. School of Petroleum Engineering, China University of Petroleum, Shandong Qingdao 266580, China;
2. Drilling Technology Research Institute, Sinopec Shengli Petroleum Engineering Corporation Limited, Shandong Dongying 257064, China

Received:2019-01-08 Revised:2019-11-22 Online:2020-01-25 Published:2020-02-06

摘要/Abstract

摘要：

裂缝性漏失是钻井工程中的世界性难题，具有裂缝开度不明确、堵漏效率低等特点。传统的桥接堵漏材料对裂缝开度敏感性较强，难以实现有效的自适应架桥封堵。基于形状记忆智能材料学科新进展，利用"热-机械变形"基本原理，研制了不同粒径的热致形状记忆智能型堵漏剂（密度为1.16 g/cm³），借助傅里叶红外光谱仪、差示扫描量热仪和"折叠-展开"形状记忆测试方法，实验评价了其分子结构、玻璃化转变温度和形状记忆性能；测试了高温高压条件下颗粒膨胀及力学性能；开展了长裂缝封堵模拟实验，探讨了裂缝封堵机理。结果表明，热致形状记忆堵漏剂的玻璃化转变温度可依据漏层温度进行调控（72.86~102.35℃），形状固定率和回复率大于99%；高温高压条件下（120℃、20 MPa）颗粒D90增长率大于40%，激活后抗压强度高，有利于在裂缝中自适应架桥封堵。热致形状记忆堵漏剂激活前为片状，易进入裂缝，达到激活温度后膨胀至立方体块状的三维结构，在一定范围内可自适应匹配漏层裂缝宽度，封堵效率高，采用一套封堵工作液配方即可成功封堵3~5 mm不同开度共存裂缝，实现温敏、自适应、高效封堵作用。

关键词: 裂缝性漏失, 温敏形状记忆聚合物, 自适应, 智能型堵漏剂, 防漏堵漏

Abstract:

Lost circulation in fractured formation is a worldwide problem in drilling engineering, with the characteristics of unclear crack opening, low plugging efficiency, and etc. The traditional bridging materials for treating lost circulation are sensitive to crack opening, and it is difficult for them to achieve effective adaptive bridging plugging. Based on the new development of the shape memory intelligent materials discipline, the paper develops thermally stimulated shape memory intelligent lost circulation materials (density:1.16 g/cm³)with different particle sizes using the basic principle of "thermal-mechanical deformation", and experimentally evaluates its molecular structure, glass transition temperature and shape memory performance using Fourier transform infrared spectroscopy (FT-IR), differential scanning calorimeter and the test method of folding-expanding shape memory. The particle expansion and mechanical properties under high temperature and high pressure conditions were also tested. Through the simulation experiment of long fracture plugging, this study explores the fracture-plugging mechanism. The results show that the glass transition temperature of the thermally stimulated shape memory plugging agent can be adjusted according to the temperature of leakage zone (72.86~102.35℃), with the shape fixed rate and recovery rate greater than 99%. Under high temperature and high pressure conditions (120℃/20 MPa), the growth rate of D90 particles is more than 40%. After activation, D90 particles have high compressive strength, and thus are beneficial to the adaptive bridging plugging in fractures. The small stimulated shape memory plugging agent have a flaky shape before activation, easy to enter the fracture. After reaching the activation temperature, it expands to become a cubic massive 3D structure, and can adaptively match the width of fractures in the leakage zone within a certain range, showing high plugging efficiency. Using a set of formula of plugging fluid, it can successfully plug 3-5 mm coexisting fractures with different opening, achieving temperature-sensitive, adaptive and high-efficiency plugging.

Key words: lost circulation in fractured formation, thermosensitive shape memory polymer, adaption, intelligent lost circulation materials, lost circulation prevention and control

中图分类号:

TE34

暴丹, 邱正松, 叶链, 钟汉毅, 赵欣, 邱维清, 王宝田, 郭保雨. 热致形状记忆“智能”型堵漏剂的制备与特性实验[J]. 石油学报, 2020, 41(1): 106-115.

Bao Dan, Qiu Zhengsong, Ye Lian, Zhong Hanyi, Zhao Xin, Qiu Weiqing, Wang Baotian, Guo Baoyu. Preparation and characteristic experiments of intelligent lost circulation materials based on thermally shape memory polymer[J]. Acta Petrolei Sinica, 2020, 41(1): 106-115.

参考文献

[1] DUPRIEST F E. Fracture Closure Stress (FCS)and lost returns practices[C]//SPE/IADC Drilling Conference.Amsterdam,Netherlands:SPE,2005.
[2] 王明波,郭亚亮,方明君,等.裂缝性地层钻井液漏失动力学模拟及规律[J].石油学报,2017,38(5):597-606.
WANG Mingbo,GUO Yaliang,FANG Mingjun,et al.Dynamics simulation and laws of drilling fluid loss in fractured formations[J].Acta Petrolei Sinica,2017,38(5):597-606.
[3] 暴丹,邱正松,邱维清,等.高温地层钻井堵漏材料特性实验[J].石油学报,2019,40(7):846-857.
BAO Dan,QIU Zhengsong,QIU Weiqing,et al.Experiment on properties of lost circulation materials in high temperature formation[J].Acta Petrolei Sinica,2019,40(7):846-857.
[4] 康毅力,王凯成,许成元,等.深井超深井钻井堵漏材料高温老化性能评价[J].石油学报,2019,40(2):215-223.
KANG Yili,WANG Kaicheng,XU Chengyuan,et al.High-temperature aging property evaluation of lost circulation materials in deep and ultra-deep well drilling[J].Acta Prtrolei Sinica,2019,40(2):215-223.
[5] 贾虎,陈昊,陈波.弹性液体胶塞修井防漏机理及应用[J].石油学报,2018,39(3):349-356.
JIA Hu,CHEN Hao,CHEN Bo.Fluid-loss control mechanism and application of elastic gel plug in well workover[J].Acta Petrolei Sinica,2018,39(3):349-356.
[6] 徐同台,刘玉杰,申威.钻井工程防漏堵漏技术[M].北京:石油工业出版社,1997.
XU Tongtai,LIU Yujie,SHEN Wei.Technology of lost circulation resistance and control during drilling engineering[M].Beijing:Petroleum Industry Press,1997.
[7] 李娟,刘文堂,沈士军.吸水树脂堵漏材料的研究进展[J].油田化学,2011,28(1):110-114,109.
LI Juan,LIU Wentang,SHEN Shijun.Research progress on water absorbent polymer used as lost-control materials[J].Oilfield Chemistry,2011,28(1):110-114,109.
[8] 史野,夏景刚,周志强,等.吸水膨胀类堵漏材料研究进展[J].化工管理,2017(8):16.
SHI Ye,XIA Jinggang,ZHOU Zhiqiang,et al.Research progress on water swelling materials used as lost-control materials[J].Chemical Management,2017(8):16.
[9] 王中华.复杂漏失地层堵漏技术现状及发展方向[J].中外能源,2014,19(1):39-48.
WANG Zhonghua.The status and development direction of plugging technology for complex formation lost circulation[J].Sino-Global Energy.2014,19(1):39-48.
[10] 王中华.聚合物凝胶堵漏剂的研究与应用进展[J].精细与专用化学品,2011,19(4):16-20.
WANG Zhonghua.Research and application progress of the polymer gel plugging agent[J].Fine and Specialty Chemicals,2011,19(4):16-20.
[11] KULKARNI S D,JAMISON D E,TEKE K D.Managing suspension characteristics of lost-circulation materials in a drilling fluid[C]//SPE Deepwater Drilling and Completions Conference.Galveston:SPE,2014.
[12] KULKARNI S D,TEKE K,SAVARI S,et al.Modelling suspension of lost circulation materials in a drilling fluid[C]//AADE-14-FTFC-24.Houston,Texas:American Association of Drilling Engineers,2014.
[13] 李敏,黎厚斌.形状记忆材料研究综述[J].包装学报,2014,6(4):17-23.
LI Min,LI Houbin.Review of shape memory materials[J].Packaging Journal,2014,6(4):17-23.
[14] 刘婷婷,朱光明,魏堃,等.形状记忆聚合物复合材料的研究进展[J].高分子材料科学与工程,2013,29(11):183-186,190.
LIU Tingting,ZHU Guangming,WEI Kun,et al.Advances in shape memory polymer composites[J].Polymer Materials Science & Engineering,2013,29(11):183-186,190.
[15] 王刚,史新妍.聚合物形状记忆材料的研究进展[J].高分子通报,2016(6):23-30.
WANG Gang,SHI Xinyan.The research progress of shape memory polymers[J].Polymer Bulletin,2016(6):23-30.
[16] ZHAO Qian,QI H J,XIE Tao.Recent progress in shape memory polymer:new behavior,enabling materials,and mechanistic understanding[J].Progress in Polymer Science,2015,49-50:79-120.
[17] XIE Tao.Recent advances in polymer shape memory[J].Polymer,2011,52(22):4985-5000.
[18] MANSOUR A,EZEAKACHA C,TALEGHANI A D,et al.Smart lost circulation materials for productive zones[C]//SPE Annual Technical Conference and Exhibition.San Antonio,Texas, USA:Society of Petroleum Engineers,2017.
[19] MANSOUR A K,TALEGHANI A D.Smart loss circulation materials for drilling highly fractured zones[C]//SPE/IADC Middle East Drilling Technology Conference and Exhibition.Abu Dhabi:Society of Petroleum Engineers,2018.
[20] MANSOUR A K,TALEGHANI A D,LI Guoqiang.Smart lost circulation materials for wellbore strengthening[C]//Paper ARMA 17-0492,Presented at the 51st US Rock Mechanics/Geomechanics Symposium.San Francisco,California,USA:American Rock Mechanics Association,2017.
[21] SANTOS L,TALEGHANI A D,LI Guoqiang.Expandable diverting agents to improve efficiency of refracturing treatments[C]//SPE/AAPG/SEG Unconventional Resources Technology Conference.Austin,Texas,USA:URTEC,2017.
[22] TALEGHANI A D,LI G,MOAYERI M.The use of temperature-triggered polymers to seal cement voids and fractures in wells[C]//SPE Annual Technical Conference and Exhibition.Dubai,UAE:Society of Petroleum Engineers,2016.
[23] 王敏生,光新军,孔令军.形状记忆聚合物在石油工程中的应用前景[J].石油钻探技术,2018,46(5):14-20.
WANG Minsheng,GUANG Xinjun,KONG Lingjun.The prospects of applying shape memory polymer in petroleum engineering[J].Petroleum Drilling Techniques,2018,46(5):14-20.
[24] LIU Yuyan,HAN Chunmiao,TAN Huifeng,et al.Thermal,mechanical and shape memory properties of shape memory epoxy resin[J].Materials Science and Engineering:A,2010,527(10/11):2510-2514.
[25] 邱正松,暴丹,刘均一,等.裂缝封堵失稳微观机理及致密承压封堵实验[J].石油学报,2018,39(5):587-596.
QIU Zhengsong,BAO Dan,LIU Junyi,et al.Microcosmic mechanism of fracture-plugging instability and experimental study on pressure bearing and tight plugging[J].Acta Petrolei Sinica,2018,39(5):587-596.
[26] 赵建宝,吴雪莲,戈晓岚,等.形状记忆聚合物及其应用前景[J].材料导报,2015,29(11):75-80.
ZHAO Jianbao,WU Xuelian,GE Xiaolan,et al.Shape memory polymer and its application prospects[J].Materials Review,2015,29(11):75-80.
[27] 朱光明,魏堃,王坤.形状记忆聚合物及其在航空航天领域中的应用[J].高分子材料科学与工程,2010,26(8):168-171.
ZHU Guangming,WEI Kun,WANG Kun.Shape memory polymers for aeronautic & space applications[J].Polymer Materials Science and Engineering,2010,26(8):168-171.
[28] 康毅力,张敬逸,许成元,等.刚性堵漏材料几何形态对其在裂缝中滞留行为的影响[J].石油钻探技术,2018,46(5):26-34.
KANG Yili,ZHANG Jingyi,XU Chengyuan,et al.The effect of geometrical morphology of rigid lost circulation material on its retention behavior in fractures[J].Petroleum Drilling Techniques,2018,46(5):26-34.

热致形状记忆“智能”型堵漏剂的制备与特性实验

Preparation and characteristic experiments of intelligent lost circulation materials based on thermally shape memory polymer

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	徐宝昌, 张学智, 王雅欣, 刘伟, 孟卓然. 用于两相流环空压力预测的自适应物理信息神经网络模型[J]. 石油学报, 2023, 44(3): 545-555.
[2]	孙金声, 刘凡, 程荣超, 冯杰, 郝惠军, 王韧, 白英睿, 刘钦政. 机器学习在防漏堵漏中研究进展与展望[J]. 石油学报, 2022, 43(1): 91-100.
[3]	闫霄鹏, 许成元, 康毅力, 商翔宇, 经浩然, 林冲, 张敬逸. 基于力链网络表征的裂缝封堵层结构失稳细观力学机制[J]. 石油学报, 2021, 42(6): 765-775.
[4]	许林, 刘书杰, 许明标, 冯桓榰, 邢希金, 邓佳佳. 压差激活密封剂的微缺陷自适应修复行为及机理[J]. 石油学报, 2021, 42(5): 686-694.
[5]	孙金声, 雷少飞, 白英睿, 吕开河, 张曙沛, 韩金良, 程荣超, 刘凡. 高分子材料的力学状态转变机理及在钻井液领域的应用展望[J]. 石油学报, 2021, 42(10): 1382-1394.
[6]	孙金声, 赵震, 白英睿, 吕开河, 王金堂, 王韧, 王晨烨, 戴立瑶. 智能自愈合凝胶研究进展及在钻井液领域的应用前景[J]. 石油学报, 2020, 41(12): 1706-1718.
[7]	糜利栋, 姜汉桥, 胡向阳, 李俊键, 胡小虎, 周元龙, 贾英, 严必成. 复杂裂缝网络页岩气藏自适应网格剖分方法[J]. 石油学报, 2019, 40(2): 197-206.
[8]	唐杰, 张文征, 温雷, 谷玉田, 陈学国. 基于正则化局部自适应核回归的单点高密度地震资料随机噪声压制方法[J]. 石油学报, 2019, 40(12): 1495-1502,1552.
[9]	徐宝昌, 周家立, 刘伟, 付加胜. 基于数据驱动的钻井过程气侵工况预测方法[J]. 石油学报, 2019, 40(10): 1263-1269.
[10]	程浩, 陈刚, 王恩德, 侯振隆, 付建飞. 基于Shearlet变换的自适应阈值地震数据去噪方法[J]. 石油学报, 2018, 39(1): 82-91.
[11]	邱正松, 刘均一, 周宝义, 暴丹, 窦同伟, 肖成才. 钻井液致密承压封堵裂缝机理与优化设计[J]. 石油学报, 2016, 37(S2): 137-143.
[12]	沈跃, 张亨, 张令坦, 苏义脑, 盛利民, 李林. 基于自适应滤波的钻井液连续压力波信号噪声抑制[J]. 石油学报, 2014, 35(2): 353-358.
[13]	李大奇康毅力刘修善曾义金杜春朝. 基于漏失机理的碳酸盐岩地层漏失压力模型[J]. 石油学报, 2011, 32(5): 900-904.
[14]	李琳努尔扎提张奇志. 钻机旋转系统的自适应PID控制策略[J]. 石油学报, 2011, 32(1): 158-161.
[15]	朱晓东王杰. 基于分层模糊系统的石油钻井参数预测模型[J]. 石油学报, 2010, 31(5): 838-842.