A Novel Method for Early Warning and Quantitative Evaluation of Liquid Loading in Gas Wellbore Based on Dynamic Production Data: A Case Study of Linxing Tight Gas Field

doi:10.1021/acsomega.4c03957

IMECH-IR > 流固耦合系统力学重点实验室

	A Novel Method for Early Warning and Quantitative Evaluation of Liquid Loading in Gas Wellbore Based on Dynamic Production Data: A Case Study of Linxing Tight Gas Field
	Sun, Lichun 1; Fang, Maojun 1; Fan, Weipeng 1; Li, Hao 1; Liu, Lijun 2; Li LL(李龙龙)3,4; Wang LT(王陆亭)3; Sun, Hai 5
通讯作者	Fan, Weipeng([email protected]) ; Sun, Hai([email protected])
发表期刊	ACS OMEGA
	2024-09-24
卷号	9 期号:40 页码:41361-41367
ISSN	2470-1343
摘要	Gas wells in Linxing Tight Gas Field are characterized by significant water production, and individual well water production measurement is missing, which pose challenges to predict liquid loading and conduct quantitative evaluations. Moreover, relying solely on flow temperature and pressure testing can be costly and time-consuming. To address these critical issues, we established the prewarning model and quantitative evaluation method for liquid loading. By utilizing those models, real-time judgment and evaluation of liquid loading can be achieved without individual well water production measurements. Our researches reveal that the pressure differential per unit gas production exhibits four patterns for different production stages. In contrast to maintaining a consistent pattern in the absence of liquid loading, the presence of fluid accumulation in production wells can be diagnosed through the increase in the specific production pressure difference within the liquid-loaded production section. Furthermore, the height of liquid loading in the wellbore can be calculated by using the quantitative evaluation model, which can match well with the field tests. The average error can be only 5.9%, and it will offer a novel solution for early warning and quantitative evaluation of wellbore liquid loading in water-producing tight gas fields. In addition, the limitation for strong stress sensitivity effect and high initial water yield-well needs to be broken through in future work.
DOI	10.1021/acsomega.4c03957
收录类别	SCI
语种	英语
WOS记录号	WOS:001319879800001
关键词[WOS]	STRESS-SENSITIVITY ; PREDICTION ; FLOW
WOS研究方向	Chemistry
WOS类目	Chemistry, Multidisciplinary
资助项目	Major scientific and technological projects of China National Offshore Oil Corporation(CNOOC) during the 14th Five-Year Plan period: Key Technologies for the Development of Multi-Thin Layer Tight Gas Reservoirs[KJGG2022-1004] ; Beijing Natural Science Foundation[2232073]
项目资助者	Major scientific and technological projects of China National Offshore Oil Corporation(CNOOC) during the 14th Five-Year Plan period: Key Technologies for the Development of Multi-Thin Layer Tight Gas Reservoirs ; Beijing Natural Science Foundation
论文分区	二类
力学所作者排名	1
RpAuthor	Fan, Weipeng ; Sun, Hai
引用统计
文献类型	期刊论文
条目标识符	http://dspace.imech.ac.cn/handle/311007/96863
专题	流固耦合系统力学重点实验室
作者单位	1.CNOOC Res Inst Ltd, Beijing 100028, Peoples R China; 2.Chengdu Univ Technol, Coll Energy, Chengdu 610059, Sichuan, Peoples R China; 3.Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China; 4.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100190, Peoples R China; 5.China Univ Petr East China, Sch Petr Engn, Qingdao 266580, Peoples R China
推荐引用方式 GB/T 7714	Sun, Lichun,Fang, Maojun,Fan, Weipeng,et al. A Novel Method for Early Warning and Quantitative Evaluation of Liquid Loading in Gas Wellbore Based on Dynamic Production Data: A Case Study of Linxing Tight Gas Field[J]. ACS OMEGA,2024,9,40,:41361-41367.Rp_Au:Fan, Weipeng, Sun, Hai
APA	Sun, Lichun.,Fang, Maojun.,Fan, Weipeng.,Li, Hao.,Liu, Lijun.,...&Sun, Hai.(2024).A Novel Method for Early Warning and Quantitative Evaluation of Liquid Loading in Gas Wellbore Based on Dynamic Production Data: A Case Study of Linxing Tight Gas Field.ACS OMEGA,9(40),41361-41367.
MLA	Sun, Lichun,et al."A Novel Method for Early Warning and Quantitative Evaluation of Liquid Loading in Gas Wellbore Based on Dynamic Production Data: A Case Study of Linxing Tight Gas Field".ACS OMEGA 9.40(2024):41361-41367.