Failure Analysis of Tubing Collapse in a Gas Well

4区 工程技术 Q1 Mathematics Mathematical Problems in Engineering Pub Date : 2023-12-01 DOI:10.1155/2023/8702719
Jinlan Zhao, Ke Tong, Junjie Lei, Xiaoliang Bai, Dongfeng Li, Zhaoxi Shen, Tingting Qu, Xiaolong Li
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Abstract

The tubing used in a gas well rarely collapses and fails during applying annulus pressure. In this study, the failure causes of tubing collapse were analyzed by means of data verification, macroscopic observation, magnetic particle inspection, physical and chemical inspection, optical microscopy, and tubing collapse test. Mechanical analysis of the string and full-scale physical simulation test simulating downhole working conditions. Finally, the verification analysis of the collapse test is carried out by the finite element analysis (FEA). The results showed that (1) the physical dimension, physical and chemical properties, and collapse resistance of this batch of tubing met the requirements of the tubing ordering technical standard. (2) Assuming that the well packer slip was unsealed and could slide freely, the mechanical theoretical analysis of collapsed tubing string and collapse test under simulated working condition load was carried out, which reproduced the load when the tubing collapsed. It can be seen from this that the packer did fail. (3) The FEA calculation results showed that when the external pressure was greater than 30.75 MPa, it would inevitably lead to collapse failure in case of packer unsealed. In conclusion, the root cause for the collapse failure of the 105th underground tubing string was that the packer lost its sealing function, resulting in an abnormal axial load. While under the action of external pressure, the tubing was overloaded and collapsed. It is recommended to carry out verification tests on the material performance of packer slip, the dimensional changes of packer tool outer diameter and inner diameter under actual well conditions, the creep behavior of packer seal, and the performance of shear pin under actual working conditions, especially in the well containing H2S, so as to prevent the pressure leakage of gas well annulus caused by packer unsealing and the reoccurrence of such downhole string collapse accidents. The first collapse test under simulated working condition load is conducted in this paper. Analyzing the collapse failure work and putting forward suggestions to effectively prevent similar failures from happening again are of great significance to the oilfield.
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某气井油管坍塌失效分析
在施加环空压力时,气井中使用的油管很少坍塌和失效。本研究通过数据验证、宏观观察、磁粉探伤、理化检验、光学显微镜、油管坍塌试验等方法,分析了油管坍塌的失效原因。对管柱进行力学分析,并进行模拟井下工况的全尺寸物理模拟测试。最后,通过有限元分析(FEA)进行了倒塌试验的验证分析。结果表明:(1)该批管材的物理尺寸、理化性能和抗塌性均满足管材订购技术标准的要求。(2)假设封隔器卡瓦不密封且能够自由滑动,进行了管柱倒塌的力学理论分析和模拟工况载荷下的倒塌试验,再现了管柱倒塌时的载荷。由此可见,封隔器确实失效了。(3)有限元计算结果表明,当外压力大于30.75 MPa时,封隔器开封将不可避免地导致坍塌破坏。综上所述,第105段地下管柱垮塌的根本原因是封隔器失去了密封功能,导致轴向载荷异常。而在外部压力作用下,油管超载坍塌。建议对封隔器卡瓦材料性能、封隔器工具外径和内径在实际工况下的尺寸变化、封隔器密封件的蠕变行为、剪切销在实际工况下的性能进行验证试验,特别是在含H2S的井中,以防止因封隔器开封引起的气井环空压力泄漏和此类井下管柱倒塌事故的再次发生。本文进行了模拟工况荷载下的首次坍塌试验。分析陷落破坏工作,提出有效防止类似破坏再次发生的建议,对油田具有重要意义。
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来源期刊
Mathematical Problems in Engineering
Mathematical Problems in Engineering 工程技术-工程:综合
CiteScore
4.00
自引率
0.00%
发文量
2853
审稿时长
4.2 months
期刊介绍: Mathematical Problems in Engineering is a broad-based journal which publishes articles of interest in all engineering disciplines. Mathematical Problems in Engineering publishes results of rigorous engineering research carried out using mathematical tools. Contributions containing formulations or results related to applications are also encouraged. The primary aim of Mathematical Problems in Engineering is rapid publication and dissemination of important mathematical work which has relevance to engineering. All areas of engineering are within the scope of the journal. In particular, aerospace engineering, bioengineering, chemical engineering, computer engineering, electrical engineering, industrial engineering and manufacturing systems, and mechanical engineering are of interest. Mathematical work of interest includes, but is not limited to, ordinary and partial differential equations, stochastic processes, calculus of variations, and nonlinear analysis.
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