页岩气井产能表征方法研究

Abstract

Abstract:

The productivity of gas wells in conventional gas reservoirs is mainly measured by open flow rate. The open flow rate is determined by gas test and production test data to evaluate the productivity of gas wells. Because of the particularity of geological characteristics and seepage mechanism, it is controversial to use which indexes to characterize the productivity of shale gas wells. Combined with the testing and production data of actual shale gas wells in China, it is proposed that the productivity of shale gas wells in different development stages can be characterized by three kinds of indexes—unhindered flow rate, recoverable reserves and gas production. When the productivity of shale gas wells is characterized by open flow, the empirical formula of “one point method” in Fuling main area is established, and the reservoir capacity（α） is 0.25. For the production capacity test of multiple work systems, the multi-flow method has better adaptability in Fuling. When the productivity of shale gas wells is characterized by recoverable reserves, before shale gas wells enter the decline stage, the unsteady productivity evaluation method of shale gas fractured horizontal wells is selected; while after entering the decline stage, the recoverable reserves of shale gas wells can be predicted by empirical decline method. For shale gas wells with fixed production, the gas test production of the same oil nozzle can be optimized to characterize the productivity of shale gas wells. The research results lay a foundation for the dynamic analysis of shale gas well production and the formulation of development technology policy.

Key words: shale gas, productivity evaluation, open flow, recoverable reserves, empirical decline analysis

CLC Number:

TE37

LIU Hua,WANG Weihong,WANG Yanyan,GU Hongtao,JIN Bingyao. Productivity characterization method of shale gas wells[J].Reservoir Evaluation and Development, 2019, 9(5): 63-69.

Figures/Tables 10

Fig. 1

Table 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Fig. 9

References 16

[1]	董大忠, 邹才能, 李建忠 , 等. 页岩气资源潜力与勘探开发前景[J]. 地质通报, 2011,30(2-3):324-336.
[2]	李治平, 李智锋 . 页岩气纳米级孔隙渗流动态特征[J]. 天然气工业, 2012,32(4):50-53. doi: 10.3787/j.issn.1000-0976.2012.04.012
[3]	刘华, 王卫红, 陈明君 , 等. 页岩储层多尺度渗流实验及数学模型研究[J]. 西安石油大学学报, 2018,33(4):66-71.
[4]	刘华, 胡小虎, 王卫红 , 等. 页岩气压裂水平井拟稳态阶段产能评价方法研究[J]. 西安石油大学学报, 2016,31(2):76-81.
[5]	段永刚, 魏明强, 李建秋 , 等. 页岩气藏渗流机理及压裂井产能评价[J]. 重庆大学学报, 2011,34(4):62-65.
[6]	徐兵祥, 李相方 , HAGHIGHI M, 等. 页岩气产量数据分析方法及产能预测[J]. 中国石油大学学报(自然科学版), 2013,37(3):119-124.
[7]	谢亚雄, 刘启国, 王卫红 , 等. 页岩气藏多段压裂水平井产能预测模型[J]. 大庆石油地质与开发, 2016,35(5):163-169.
[8]	BELLO R O, WATTENBARGER R A.Modelling and analysis of shale gas production with a skin effect[C]// paper PETSOC-2009-082 presented at the Canadian International Petroleum Conference,16-18 June 2009,Calgary, Alberta,Canada.
[9]	AHMADI H A, ALMARZOOQ A M, WATTERNBARGER R A. Application of linear flow analysis to shale gas wells—field cases[C]// paper SPE-130370-MS presented at the SPE Unconventional Gas Conference,23-25 February 2010,Pittsburgh, Pennsylvania, USA.
[10]	ANDERSON D M, NOBAKHT M, MOGHADAM S, et al. Analysis of production data from fractured shale gas well [C]// paper SPE-131787-MS presented at the SPE Unconventional Gas Conference,23-25 February 2010, Pittsburgh, Pennsylvania, USA.
[11]	JOHNSON N L, CURRIE S M, ILK D , et al. A simple methodology for direct estimation of gas-in-place and reserves using rate-time data[C] // paper SPE-123298-MS presented at the SPE Rocky Mountain Petroleum Technology Conference,14-16 April 2009,Denver, Colorado, USA.
[12]	CURRIE S M, ILK D, BLASINGAME T A, et al. Application of the “continuous estimation of ultimate recovery” methodology to estimate reserves in unconventional reservoirs[C]// paper SPE-138155-MS presented at the Canadian Unconventional Resources and International Petroleum Conference,19-21 October 2010,Calgary, Alberta,Canada.
[13]	ILK D, RUSHING J A, PEREGO A D, et al. Exponential vs. hyperbolic decline in tight gas sands—understanding the origin and implications for reserves estimates using Arps’ decline curves[C]// paper SPE-116731-MS presented at the SPE Annual Technical Conference and Exhibition,21-24 September 2008, Denver, Colorado, USA.
[14]	MCBANE R A, THOMPSON T W. Exploration/production studies of the dovonian gas shales[C]// paper SPE-12833-MS presented at the SPE Unconventional Gas Recovery Symposium,13-15 May 1984, Pittsburgh, Pennsylvania, USA.
[15]	VALKO P P, LEE W J. A better way to forecast production from unconventional gas wells[C]// paper SPE-134231-MS presented at the SPE Annual Technical Conference and Exhibition,19-22 September 2010, Florence, Italy.
[16]	DUONG A N , An unconventional rate decline approach for tight and fractured-dominated gas wells[C]// paper SPE-137748-MS presented at the Canadian Unconventional Resources and International Petroleum Conference,19-21 October 2010,Calgary, Alberta,Canada.

井号	α	二项式评价结果/ （10⁴ m³·d^-1）	“一点法”（12 mm油嘴）评价结果/（10⁴ m³·d^-1）
A1	0.32	58.82	59.91
A2	0.25	56.57	58.93
A3	0.26	43.17	43.28
A4	0.18	92.58	100.22
A5	0.25	63.73	69.10
平均值	0.25	61.40	63.79

Productivity characterization method of shale gas wells

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 10

References 16

Related Articles 15

Metrics

Comments

Recommended 10

[1]	FANG Zhixiong. Challenges and countermeasures for exploration and development of normal pressure shale gas in southern China [J]. Reservoir Evaluation and Development, 2019, 9(5): 1-13.
[2]	GUO Tonglou. A few geological issues in shale gas exploration and development [J]. Reservoir Evaluation and Development, 2019, 9(5): 14-19.
[3]	LIANG Xing,ZHANG Chao,ZHANG Pengwei,ZHANG Lei,WANG Gaocheng,PAN Yuanwei,ZHAO Chunduan,ZHANG Jiehui,WANG Weixu,QIU Kaibin. Research and application of geomechanics of shale gas in deep mountain of Yichang, Hubei [J]. Reservoir Evaluation and Development, 2019, 9(5): 20-31.
[4]	HE Xipeng,QI Yanping,HE Guisong,GAO Yuqiao,LIU Ming,ZHANG Peixian,WANG Kaiming. Further understanding of main controlling factors of normal pressure shale gas enrichment and high yield in the area with complex structure of the southeast area of Chongqing [J]. Reservoir Evaluation and Development, 2019, 9(5): 32-39.
[5]	DAI Cheng,HU Xiaohu,FANG Sidong,GUO Yandong. Numerical simulation for seepage of shale gas reservoir development based on microseismic data and embedded fracture modeling [J]. Reservoir Evaluation and Development, 2019, 9(5): 70-77.
[6]	JIANG Tingxue,SU Yuan,BIAN Xiaobing,MEI Zongqing. Network fracturing technology with low cost and high density for normal pressure shale gas [J]. Reservoir Evaluation and Development, 2019, 9(5): 78-83.
[7]	ZHU Liang,LOU Yishan,SHEN Jianzhong,HE Qing,QIN Du. Distribution rule of formation anti-drillability parameters in shale gas block of Nanchuan and its application [J]. Reservoir Evaluation and Development, 2019, 9(5): 84-88.
[8]	TANG Jianxin. Comparative studies on methane isothermal adsorption models of shale of Longmaxi formation in Pengshui area [J]. Reservoir Evaluation and Development, 2019, 9(4): 73-78.
[9]	XIA Haibang. Research and application of soluble bridge plug in Nanchuan shale gas field [J]. Reservoir Evaluation and Development, 2019, 9(4): 79-82.
[10]	YUAN Hang,GU Hongtao,LI Jiaxin. Research and field application of downhole throttling technology for shale gas wells in south block of Pingqiao area [J]. Reservoir Evaluation and Development, 2019, 9(4): 83-88.
[11]	Lei Xiao,Li Shusong,Wang Wenjuan,Zhang Fengbo,He Zhihui,Ma Shuai. Application of a well testing simulation technique in productivity evaluation of well-X1 in high temperature and high pressure reservoir [J]. Reservoir Evaluation and Development, 2019, 9(2): 17-20.
[12]	Li Yongming,Wu Lei,Chen Xi. Research on productivity of fractured horizontal wells in shale gas reservoirs based on anomalous diffusion model [J]. Reservoir Evaluation and Development, 2019, 9(1): 72-79.
[13]	Wang Yuhai,Xia Haibang,Bao Kai,Qiu Weidong. Research and application of jet pump technology in drainage gas recovery of shale gas at atmospheric pressure [J]. Reservoir Evaluation and Development, 2019, 9(1): 80-84.
[14]	Zhao Jinzhou,You Xianyong,Li Yongming,Pu Xuan. Analysis of unsteady early period production forecast model for fractured horizontal wells in shale gas reservoir [J]. Reservoir Evaluation and Development, 2018, 8(6): 70-76.
[15]	Zhuo Jigao,Sun Zhongming,Yan Xiaoming. Automatic management technology for shale gas well test report based on Python [J]. Reservoir Evaluation and Development, 2018, 8(6): 83-86.