页岩气井产能表征方法研究

摘要/Abstract

摘要：

常规气藏气井的产能主要用无阻流量作为衡量指标,通过试气、试采资料确定无阻流量,评价气井产能。页岩气由于地质特征和渗流机理的特殊性,用什么指标表征页岩气井的产能存在争议。结合国内实际页岩气井的测试与生产资料,提出不同开发阶段页岩气井的产能可以用无阻流量、可采储量和产气量三类指标进行表征。用无阻流量表征页岩气井产能时,建立了涪陵主体区“一点法”经验公式,产能系数α值为0.25。针对多工作制度的产能测试,多流量法在涪陵具有较好的适应性。用可采储量表征页岩气井产能时,在页岩气井进入递减阶段之前选用页岩气压裂水平井非稳态产能评价方法,进入递减阶段后采用经验递减法预测页岩气井的可采储量。对于定产生产的页岩气井,可以优选相同油嘴下的试气产量表征页岩气井产能。研究成果为页岩气井生产动态分析及开发技术政策制定奠定了基础。

关键词: 页岩气, 产能评价, 无阻流量, 可采储量, 经验递减分析

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

中图分类号:

TE37

刘华,王卫红,王妍妍,谷红陶,金冰垚. 页岩气井产能表征方法研究[J]. 油气藏评价与开发, 2019, 9(5): 63-69.

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.

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参考文献 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