A novel inversion approach for fracture parameters and inflow rates diagnosis in multistage fractured horizontal wells

doi:10.1016/j.petrol.2019.106585

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	A novel inversion approach for fracture parameters and inflow rates diagnosis in multistage fractured horizontal wells
	Luo, Hongwen 1; Li, Haitao 1; Tan, Yongsheng 2; Li, Ying 1; Jiang, Beibei 1; Lu, Yu 1; Cui, Xiaojiang 1
	2020
发表期刊	JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
ISSN	0920-4105
卷号	184 期号:-页码:13
摘要	Significant difficulties still exist in fracture parameters and inflow rates diagnosis for multistage fractured horizontal wells (MFHWs) using conventional method. The newly developed distributed temperature sensing (DTS) technology which can monitor the real-time downhole conditions for MFHWs provides enormous potential to solve this problem. However, due to the lack of robust inversion approaches, it's hard to quantitatively translate the DTS data to fracture parameters and inflow rates. In this work, firstly, a comprehensive inversion system combined with a forward and inversion model is proposed. The forward temperature model is developed to simulate the temperature behavior of an MFHW. The inversion model derived from the Markov Chain Monte Carlo(MCMC) algorithm is used to decrease the differences between the measured temperature and the predicted temperature iteratively. Subsequently, a synthetic case is presented to analyze the temperature characteristics and the application of this inversion approach. It has been found that any temperature drop (Delta T) corresponds to a created fracture and the Delta T are basically proportional to the inflow rates. According to that, a convenient equation is formulated to assign the initial inflow rate distribution to improve the computational efficiency of the inversion procedure. Finally, a field application (Well FH_1) is provided to demonstrate the capability of the developed inversion system to diagnose fracture parameters and inflow rates. Satisfactory inversion results are obtained within finite inversion iterations for this MHFW. The maximum temperature errors corresponding to each fractures are less than 0.02K. The inversed total production rate is 10.329 x 10(4) m(3)/d which matches the measured production rate (10.33 x 10(4)m(3)/d) very well that just validates the accuracy of the developed inversion system. The findings of this study can help for better understanding of fracture parameters and inflow rates diagnosis from the downhole temperature measurements for MFHWs.
关键词	Inversion model Distributed temperature sensing Fracture parameters Inflow rates Markov Chain Monte Carlo Multistage fractured horizontal well
DOI	10.1016/j.petrol.2019.106585
收录类别	SCI
语种	英语
资助项目	National Science and Technology Major Project of China[2016ZX05021-005-009HZ] ; State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University
WOS研究方向	Energy & Fuels ; Engineering
WOS类目	Energy & Fuels ; Engineering, Petroleum
WOS记录号	WOS:000501599800019
出版者	ELSEVIER
引用统计	被引频次：7[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.198/handle/2S6PX9GI/23192
专题	中科院武汉岩土力学所
作者单位	1.Southwest Petr Univ, State Key Lab Oil & Gas Reservoir Geol & Exploita, Chengdu 610500, Sichuan, Peoples R China 2.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Hubei, Peoples R China
推荐引用方式 GB/T 7714	Luo, Hongwen,Li, Haitao,Tan, Yongsheng,et al. A novel inversion approach for fracture parameters and inflow rates diagnosis in multistage fractured horizontal wells[J]. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING,2020,184(-):13.
APA	Luo, Hongwen.,Li, Haitao.,Tan, Yongsheng.,Li, Ying.,Jiang, Beibei.,...&Cui, Xiaojiang.(2020).A novel inversion approach for fracture parameters and inflow rates diagnosis in multistage fractured horizontal wells.JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING,184(-),13.
MLA	Luo, Hongwen,et al."A novel inversion approach for fracture parameters and inflow rates diagnosis in multistage fractured horizontal wells".JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING 184.-(2020):13.

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