多因素耦合作用下的气井持续环空压力预测模型

doi:10.16265/j.cnki.issn1003-3033.2023.02.0841

中国安全科学学报 ›› 2023, Vol. 33 ›› Issue (2): 166-172.doi: 10.16265/j.cnki.issn1003-3033.2023.02.0841

多因素耦合作用下的气井持续环空压力预测模型

李帅¹(), 练章华¹, 丁亮亮¹^,², 廖涛²

¹ 西南石油大学油气藏地质及开发工程国家重点实验室,四川成都 610500
² 西南石油大学机电工程学院,四川成都 610500

收稿日期:2022-09-20 修回日期:2022-12-17 出版日期:2023-02-28 发布日期:2023-08-28
作者简介:
李帅 (1996—),男,山东淄博人,硕士研究生,研究方向为井筒完整性。E-mail: ls_email1996@163.com。
练章华，教授
丁亮亮，副教授
基金资助:
国家自然科学基金资助(51704034); 国家自然科学基金资助(51974271)

Prediction model of sustained annular pressure of gas wells under multi-factor coupling effect

LI Shuai¹(), LIAN Zhanghua¹, DING Lingling¹^,², LIAO Tao²

¹ State Key Laboratory of Oil and Gas Reservoir Geology and Development Engineering, Southwest Petroleum University, Chengdu Sichuan 610500, China
² School of Mechatronic Engineering, Southwest Petroleum University, Chengdu Sichuan 610500, China

Received:2022-09-20 Revised:2022-12-17 Online:2023-02-28 Published:2023-08-28

摘要/Abstract

摘要：

为了明确油管泄漏、温度效应及多环空相互作用等多重因素耦合作用对气井持续环空压力的影响,首先,基于传热学、工程流体力学及渗流力学理论,充分考虑油管泄漏、温度和压力对环空流体与管柱的影响及多环空相互作用等因素,建立多因素耦合作用下的气井持续环空压力预测模型;然后,基于某气井现场数据验证预测模型的准确性;最后,对比分析考虑多因素耦合作用与仅考虑油管泄漏2种情况的环空压力变化特征及参数敏感性。结果表明:所建立的预测模型具有更高的精度,与仅考虑油管泄漏因素的模型相比,其预测精度提高了3.87%;多因素耦合作用下环空压力出现压力拐点,且恢复过程可分为A高速增长、B缓慢下降和C压力平稳等3个阶段。油管漏点小、初始环空压力下、油管内壁压力小及漏点深度浅的情况下,更加需要考虑多因素耦合作用对环空压力的影响。

关键词: 多因素耦合, 气井, 持续环空压力, 预测模型, 油管泄漏, 温度效应

Abstract:

In order to understand the influence of tubing leakage, temperature effect and multi-annulus interaction on sustained annular pressure of gas wells, firstly, based on theories of heat transfer, engineering fluid mechanics and seepage mechanics, a prediction model of gas well sustained annular pressure under the coupling effect of multiple factors was established by fully considering the influence of tubing leakage, temperature pressure on annular fluid and pipe string and the interaction of multi-annulus. Then, the accuracy of the prediction model was verified based on field data of a gas well. Finally, a comparative analysis of annular pressure variation characteristics and parameter sensitivity was conducted under two conditions of considering multi-factor coupling and only considering tubing leakage. The results show that the established prediction model has a higher accuracy, which is 3.87% higher than that of the prediction model only considering the tubing leakage factor. Under the action of multi-factor coupling, annulus pressure has a "pressure inflection point" and the recovery process can be divided into: stage A of rapid growth, stage B of slow decline, and stage C of stable pressure. Under the conditions of the small tubing leakage point, initial annulus pressure, the small tubing inner wall pressure, and the shallow leakage point depth, the multi-factor coupling effect on the annulus pressure is more significant.

Key words: multiple factor coupling, gas wells, sustained annular pressure, prediction model, tubing leakage, temperature effect

李帅, 练章华, 丁亮亮, 廖涛. 多因素耦合作用下的气井持续环空压力预测模型[J]. 中国安全科学学报, 2023, 33(2): 166-172.

LI Shuai, LIAN Zhanghua, DING Lingling, LIAO Tao. Prediction model of sustained annular pressure of gas wells under multi-factor coupling effect[J]. China Safety Science Journal, 2023, 33(2): 166-172.

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参考文献 15

[1]	ZHU Hongjun, LIN Yuanhua, ZENG Dezhi, et al. Mechanism and prediction analysis of sustained casing pressure in "A" annulus of CO₂ injection well[J]. Journal of Petroleum Science and Engineering, 2012, 92: 1-10.
[2]	WU Shengnan, ZHANG Laibin, FAN Jianchun, et al. Prediction analysis of downhole tubing leakage location for offshore gas production wells[J]. Measurement, 2018, 127: 546-553. doi: 10.1016/j.measurement.2018.05.084
[3]	MILLER S M, WOFSY S C, MICHALAK A M, et al. Anthropogenic emissions of methane in the United States[J]. Proceedings of the National Academy of Sciences, 2013, 110(50): 20 018-20 022.
[4]	XI Yan, LI Jun, LIU Gonghui, et al. A new numerical investigation of cement sheath integrity during multistage hydraulic fracturing shale gas wells[J]. Journal of Natural Gas Science and Engineering, 2018, 49: 331-341. doi: 10.1016/j.jngse.2017.11.027
[5]	SEPOS D J, CART B W. New quick-setting cement solves shallow gas migration problems and reduces WOC time[C]. SPE Eastern Regional Meeting, 1985:DOI: 10.2118/14500-MS. doi: 10.2118/14500-MS
[6]	XU Rong, WOJTANOWICZ A K. Diagnosis of sustained casing pressure from bleed-off/buildup testing patterns[C]. SPE Production and Operations Symposium, 2001:DOI: 10.2523/67194-MS. doi: 10.2523/67194-MS
[7]	XU Rong, WOJTANOWICZ A K. Diagnostic testing of wells with sustained casing pressure-an analytical approach[C]. Canadian International Petroleum Conference, 2003:DOI: 10.2118/2003-221. doi: 10.2118/2003-221
[8]	HUERTA N J, CHECKAI D, BRYANT S L. Utilizing sustained casing pressure analog to provide parameters to study CO₂ leakage rates along a wellbore[C]. SPE International Conference On CO₂ Capture, Storage, and Utilization, 2009:DOI: 10.2118/126700-MS. doi: 10.2118/126700-MS
[9]	ROCHA-VALADEZ T, MENTZER R A, HASAN A R, et al. Inherently safer sustained casing pressure testing for well integrity evaluation[J]. Journal of Loss Prevention in the Process Industries, 2014, 29: 209-215. doi: 10.1016/j.jlp.2014.02.012
[10]	王云, 王晓冬, 李隽, 等. 基于积分原理的气井油套环空泄漏面积和泄漏速率计算方法研究[J]. 钻采工艺, 2015, 38(3): 66-68,12-13.
	WANG Yun, WANG Xiaodong, LI Jun, et al. Study on calculation method of annular leakage area and leakage rate of oil casing in gas well based on integral principle[J]. Drilling & Production Technology, 2015, 38(3): 66-68,12-13.
[11]	张波, 管志川, 张琦, 等. 高压气井环空压力预测与控制措施[J]. 石油勘探与开发, 2015, 42(4): 518-522.
	ZHANG Bo, GUAN Zhichuan, ZHANG Qi, et al. Prediction of sustained annular pressure and the pressure control measures for high pressure gas wells[J]. Petroleum Exploration and Development, 2015, 42(4): 518-522.
[12]	李磊, 曾龙, 李中, 等. 考虑气体溶解效应的持续套管压力预测与分析[J]. 石油钻采工艺, 2020, 42(3): 314-321.
	LI Lei, ZENG Long, LI Zhong, et al. Predicting and analyzing sustained casing pressure while taking into consideration the gas dissolution effect[J]. Oil Drilling & Production Technology, 2020, 42(3): 314-321.
[13]	ZHOU Yunjian, WOJTANOWICZ A K, LI Xiangfang, et al. Analysis of gas migration in sustained-casing-pressure annulus by employing improved numerical model[J]. Journal of Petroleum Science and Engineering, 2018, 169: 58-68. doi: 10.1016/j.petrol.2018.05.054
[14]	阎卫军, 赵效锋, 闫炎, 等. 基于环空窜流组合模型的套管环空压力预测[J]. 石油机械, 2022, 50(1): 27-33.
	YAN Weijun, ZHAO Xiaofeng, YAN Yan, et al. Casing annular pressure prediction based on annular channeling combination model[J]. China Petroleum Machinery, 2022, 50(1): 27-33.
[15]	王黎松, 高宝奎, 胡天祥, 等. 考虑材料非线性的环空增压预测模型[J]. 石油学报, 2020, 41(2): 235-243. doi: 10.7623/syxb202002009
	WANG Lisong, GAO Baokui, HU Tianxiang, et al. A prediction model of annular pressure build-up considering material nonlinearity[J]. Acta Petrolei Sinica, 2020, 41(2): 235-243. doi: 10.7623/syxb202002009

参数	数值
油管外径/mm	114.3
油管内径/mm	97.18
生产套管内径/mm	174.38
生产套管外径/mm	206.37
中间套管内径/mm	311.38
中间套管外径/mm	365.12
表层套管内径/mm	485.75
油管弹性模量/MPa	2.05×10⁵
套管弹性模量/MPa	2.10×10⁵
油管热膨胀系数/K^-1	1.2×10^-5
套管热膨胀系数/K^-1	1.25×10^-5
产量/(10 m³·d^-1)	30
封隔器位置/m	6 754.3
环空保护液密度/(g·cm^-3)	1.2
油管漏点位置/m	6 236.97
油管漏点当量直径/mm	0.1
初始环空压力/MPa	1.42
气柱高度/m	554.42

多因素耦合作用下的气井持续环空压力预测模型

Prediction model of sustained annular pressure of gas wells under multi-factor coupling effect

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