井壁破裂与内部应变状态机理分析

胡锐; 贾晓芬; 赵佰亭; 兰世豪; 李德权

doi:10.21656/1000-0887.440171

井壁破裂与内部应变状态机理分析

doi: 10.21656/1000-0887.440171

胡锐^1, ,,
贾晓芬^{1, 2},
赵佰亭³,
兰世豪³,
李德权¹

1.
安徽理工大学人工智能学院，安徽淮南 232001
2.
安徽理工大学省部共建深部煤矿采动响应与灾害防控国家重点实验室，安徽淮南 232001
3.
安徽理工大学电气与信息工程学院，安徽淮南 232001

基金项目:

安徽省自然科学基金(面上项目) 2108085ME158

国家自然科学基金(面上项目) 52174141

安徽高校协同创新项目 GXXT-2020-54

详细信息

通讯作者:
胡锐(1995—), 男, 助理实验师, 硕士(通讯作者. E-mail: hurui810@163.com)

中图分类号: TD262
计量
- 文章访问数: 140
- HTML全文浏览量: 41
- PDF下载量: 37
- 被引次数: 0
出版历程
- 收稿日期: 2023-06-05
- 修回日期: 2023-10-23
- 刊出日期: 2023-12-01

Mechanism Analysis of Wellbore Fracture and Internal Strain State

HU Rui^{1
, ,},
JIA Xiaofen^{1, 2},
ZHAO Baiting³,
LAN Shihao³,
LI Dequan¹

1.
School of Artificial Intelligence, Anhui University of Science and Technology, Huainan, Anhui 232001, P.R.China
2.
State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan, Anhui 232001, P.R.China
3.
School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, Anhui 232001, P.R.China

摘要

摘要: 为研究立井井壁破裂与内部应变之间的相互规律，搭建井壁实物模型以模拟井壁受力破裂过程和状态，利用分布式光纤技术对井壁内部应变进行监测，并分别从应力和应变多角度进行深入分析. 结果表明：对于应变状态，当施加应力增大，井壁应变程度也随之增大，应变极大值所对应的井壁位置，其应变程度在范围内达到最大，破裂风险也就最高；对于应力作用，不同应力下井壁应变最大值与最小值之间的偏差度越大，井壁稳定性越差，越容易发生破裂；分析了应力、应变二者相互关联性，拟合各方向角所对应的井壁位置应变变化的线性方程，变化率数值越大，井壁应变增长速度就越快，当应变值超过所能承受极限时，井壁会更容易发生破裂；通过对井壁应变数据监测，分析了应变差值、偏差度和应变变化率，结合Lamé公式，建立了井壁应变破裂关系模型，为井壁破裂预警提供了新方案.
- 立井井壁 /
- 应力-应变 /
- 井壁应力 /
- 线性拟合
Abstract: To study the mutual law between the vertical shaft wall fracture and the internal strain, a physical model for the shaft wall was built to simulate the process and state of the shaft wall stress fracture. The distributed optical fiber technology was used to monitor the internal strain of the shaft wall, and the in-depth analysis was conducted from multiple perspectives of stress and strain. The results show that, for the strain state, the wellbore strain degree will increase with the applied stress. In the wellbore position corresponding to the maximum strain value, the strain degree will reach the maximum value within the range, and the risk of fracture will be the highest. For the stress effect, the larger the deviation between the maximum and minimum strain values of the wellbore under different stresses is, the poorer the wellbore stability will be, and the more likely it will rupture. The analysis of the correlation between stress and strain, and the fitting of the linear equation of strain change at the wellbore position corresponding to each direction angle indicate that, the larger the change rate value is, the bigger the growth rate of wellbore strain will be. For the strain value exceeding the allowable limit, the wellbore is more prone to fracture. Through monitoring of the wellbore strain data and analysis of the strain difference, deviation and strain change rate, and combined with the Lame formula, a wellbore strain rupture relationship model was established. The study provides a new scheme for wellbore rupture warning.
- vertical shaft wall /
- stress-strain /
- wellbore stress /
- linear fitting

HTML全文

图 1 井壁应变3D仿真模型

注为了解释图中的颜色，读者可以参考本文的电子网页版本，后同.

Figure 1. The 3D simulation model for wellbore strain

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图 2 水平地压对井壁作用模拟示意图

Figure 2. Schematic diagram for simulation of horizontal ground pressure effect on the wellbore

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图 3 井壁结构受力模拟实验

Figure 3. The stress simulation experiment of the shaft wall structure

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图 4 井壁应变数据

Figure 4. The shaftwall strain data chart

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图 5 井壁应变差值

Figure 5. Shaft wall strain difference values

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图 6 井壁应变数值分析

Figure 6. Numerical analysis of shaft wall strains

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图 7 线性拟合应变变化率直方图

Figure 7. Linear fitting of the strain change rate histogram

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图 8 井壁90°，209.45°方向角线性空间图

Figure 8. Linear space diagram of the well wall 90°, 209.45° directional angle fitting

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图 9 井壁90°，209.45°应变数据

Figure 9. Strain data of the shaft wall at 90° and 209.45°

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表 1 不同应力下井壁应变偏差度

Table 1. Deviations of borehole wall strains under different stresses

P/MPa	1	2	3	4	5	6	7
δ_x(max)	2.553 6×10^-4	2.253 1×10^-4	1.061 6×10^-4	7.42×10^-6	-1.089×10^-5	-3.253×10^-5	-4.239×10^-5
δ_x(min)	-4.583×10^-5	-4.544×10^-5	-8.865×10^-5	-1.305 1×10^-4	-2.446 5×10^-4	-3.452 4×10^-4	-4.264 5×10^-4
$\exists_x$	3.011 9×10^-4	2.707 5×10^-4	1.948 1×10^-4	1.379 3×10^-4	2.337 6×10^-4	3.127 1×10^-4	3.840 5×10^-4

P/MPa	8	9	10	11	12	13
δ_x(max)	-4.507×10^-5	-3.610×10^-5	-4.158×10^-5	-5.517×10^-5	-7.366×10^-5	-8.918×10^-5
δ_x(min)	-5.098 6×10^-4	-6.172 1×10^-4	-7.186 2×10^-4	-8.252 4×10^-4	-9.562 5×10^-4	-1.078 45×10^-3
$\exists_x$	4.647 9×10^-4	5.811 1×10^-4	6.770 4×10^-4	7.700 7×10^-4	8.825 9×10^-4	9.892 8×10^-4

下载: 导出CSV

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