滑脱和应力敏感效应对页岩气开发动态影响的数值模拟研究

杨金辉; 李立; 李钟洋; 鞠斌山

doi:10.11911/syztjs.201701015

滑脱和应力敏感效应对页岩气开发动态影响的数值模拟研究

doi: 10.11911/syztjs.201701015

1.
中国地质大学(北京)能源学院, 北京 100083;
2.
濮阳佰斯泰油气技术服务有限公司, 河南濮阳 457001;
3.
非常规天然气能源地质评价与开发工程北京市重点实验室(中国地质大学(北京)), 北京 100083

基金项目:

国家重大科技专项“大型油气田及煤层气开发”之课题“新一代油藏数值模拟软件”（编号：2011ZX05009-006）和中央高校基本科研业务费专项资金（编号：2652015142）联合资助。

详细信息

作者简介:
杨金辉(1993-),男,山东东营人,2015年毕业于中国地质大学(武汉)石油工程专业,油气田开发工程专业在读硕士研究生,主要从事油气田开发工程技术研究工作。通信作者鞠斌山,

杨金辉(1993-),男,山东东营人,2015年毕业于中国地质大学(武汉)石油工程专业,油气田开发工程专业在读硕士研究生,主要从事油气田开发工程技术研究工作。通信作者鞠斌山,

中图分类号: TE33⁺2
计量
- 文章访问数: 19856
- HTML全文浏览量: 85
- PDF下载量: 14880
- 被引次数: 0
出版历程
- 收稿日期: 2016-10-10
- 修回日期: 2016-12-27
- 刊出日期: 1900-01-01

Numerical Simulation on the Effects of Slippage and Stress Sensibility on the Performance of Shale Gas Development

1.
School of Energy and Resouece, China University of Geosciences(Beijing), Beijing, 100083, China;
2.
Puyang Best Oil & Gas Technology Service Co. Ltd., Puyang, Henan, 457001, China;
3.
Beijing Key Laboratory of Evaluation of Energy Resources and Development Engineering of Unconventional Natural Gas(China University of Geosciences(Beijing)), Beijing, 100083, China

摘要

摘要: 滑脱和应力敏感效应是影响页岩气藏开发动态的2个重要因素，为定量研究其对产气量的影响，运用等效孔隙介质模型，建立了同时考虑滑脱和应力敏感效应的页岩气藏两相渗流数学模型，采用有限差分方法对该模型进行了数值求解，用Fortran语言开发了页岩气藏数值模拟器，在定产量和定压衰竭式开采条件下应用该模拟器研究了滑脱与应力敏感效应对页岩气井产能的影响规律，并将计算结果与美国Haynesville页岩气藏W3井的实际生产数据进行了对比。结果表明：衰竭式开发导致页岩气藏的压力和渗透率均降低，生产井附近储层压力和渗透率急剧降低；在投产第1年内，产气量虽迅速下降，但滑脱和应力敏感效应对产气量影响较小；生产500 d后，滑脱和应力敏感效应对产气量产生明显影响，滑脱效应使产气量增加，应力敏感导致产气量降低；模拟结果与生产数据的衰减趋势吻合度较高，证明该页岩气藏数值模拟器计算结果具有较高的可靠性。页岩气藏开发数值模拟器的成功研制，为页岩气井产能预测提供了一种新的有效手段。
- 页岩气 /
- 滑脱效应 /
- 应力敏感 /
- 产量递减 /
- 渗流模型 /
- 数值模拟
Abstract: Gas slippage and stress sensibility are two important factors which influence the development performances in shale gas reservoirs.To highlight their quantitative effects on gas production rates,a mathematical model with consideration of both slippage and stress sensibility in a two-phase flow in shale gas reservoirs was set up by using an equivalent porous media model, in which a finite difference method was used to solve the model. In addition, a numerical simulator of shale gas reservoirs was developed in Fortran(computer language).The effect of stress sensibility and gas slippage on gas well productivity was quantitatively studied by using the innovative simulator at a constant production rate and a specified bottom flow pressure in declining production.Numerical simulation results were then compared with field production data of Well W3 in a Haynesville shale gas reservoir.The numerical results showed that both formation pressure and permeability declined during depletion development of the gas reservoir and dramatical decline was observed near the wellbore region.In the first production year,shale gas production rate declined sharply;but slippage and stress sensibility displayed minor effect on the production rate.The effect of stress sensibility and gas slippage on production became more significant after 500 days of production.The decline curve closely tracked the simulation and history matching,and it thus validated the result calculated from a shale gas reservoir simulator with relatively high reliability.The successful development of a numerical simulator for shale gas reservoirs migth provide an innovative and effective approach for predicting gas production rates and decline curves.
- shale gas /
- slippage effect /
- stress sensibility /
- production decline /
- seepage model /
- numerical simulation

HTML全文

参考文献(32)

路保平.中国石化页岩气工程技术进步及展望[J].石油钻探技术,2013,41(5):1-8. LU Baoping.Sinopec engineering technical advance and its developing tendency in shale gas[J].Petroleum Drilling Techniques,2013,41(5):1-8.

PADILLA A.Social responsibility management systems:elevating performance for shale gas development[R].SPE 156728,2012.

薛承瑾.国内页岩气有效开采值得关注的几个问题[J].石油钻探技术,2012,40(4):1-6. XUE Chengjin.Noteworthy issues on effective production of shale gas resource in China[J].Petroleum Drilling Techniques,2012,40(4):1-6.

李亚洲,李勇明,罗攀,等.页岩气渗流机理与产能研究[J].断块油气田,2013,20(2):186-190. LI Yazhou,LI Yongming,LUO Pan,et al.Study on seepage mechanism and productivity of shale gas[J].Fault-Block Oil Gas Field,2013,20(2):186-190.

OZKAN E,RAGHAVAN R S,APAYDIN O G.Modeling of fluid transfer from shale matrix to fracture network[R].SPE 134830,2010.

WATSON A T,GATENS J M III S A,LEE W J,et al.An analytical model for history matching naturally fractured reservoir production data[R].SPE 18856,1990.

WARREN J E,ROOT P J.The behavior of naturally fracture reservoirs[J].SPE Journal,1963,3(3):245-255.

肖晓春,潘一山.滑脱效应影响的低渗煤层气运移实验研究[J].岩土工程学报,2009,31(10):1554-1558. XIAO Xiaochun,PAN Yishan.Experimental study on gas slippage effects in hypotonic coal reservoir[J].Chinese Journal of Geotechnical Engineering,2009,31(10):1554-1558.

刘萱,许浩,汤达祯,等.低渗煤层气藏中的滑脱效应及影响因素[J].科技创新导报,2014,11(20):32-33. LIU Xuan,XU Hao,TANG Dazhen,et al.Factors on gas slippage effects in low permeability coal reservoir[J].Science and Technology Innovation Herald,2014,11(20):32-33.

SHABRO V,TORRES-VERDIN C,JAVADPOUR F.Numerical simulation of shale-gas production:from pore-scale modeling of slip-flow,Knudsen diffusion,and Langmuir desorption to reservoir modeling of compressible fluid[R].SPE 144355,2001.

SWAMI V.Shale gas reservoir modeling:from nanopores to laboratory[R].SPE 163065,2012.

AZOM P N,JAVADPOUR F.Dual-continuum modeling of shale and tight gas reservoirs[R].SPE 159584,2012.

JAVADPOUR F,FISHER D,UNSWORTH M.Nanoscale gas flow in shale gas sediments[J].Journal of Canadian Petroleum Technology,2007,46(10):55-61.

JAVADPOUR F.Nanopores and apparent permeability of gas flow in mudrocks(shales and siltstone)[J].Journal of Canadian Petroleum Technology,2009,48(8):16-21.

夏阳,金衍,陈勉,等.页岩气渗流数学模型[J].科学通报,2015,60(24):2259-2271. XIA Yang,JIN Yan,CHEN Mian,et al.Gas flow in shale reservoirs[J].Chin.Sci.Bull.,2015,60(24):2259-2271.

邓佳,朱维耀,刘锦霞,等.考虑应力敏感性的页岩气产能预测模型[J].天然气地球科学,2013,24(3):456-460. DENG Jia,ZHU Weiyao,LIU Jinxia,et al.Productivity prediction model of shale gas considering stress sensitivity[J].Natural Gas Geoscience,2013,24(3):456-460.

田冷,肖聪,顾岱鸿.考虑应力敏感与非达西效应的页岩气产能模型[J].天然气工业,2014,34(12):70-75. TIAN Leng,XIAO Cong,GU Daihong.A shale gas reservoir productivity model considering stress sensitivity and non-Darcy flow[J].Natural Gas Industry,2014,34(12):70-75.

郭肖,任影,吴红琴.考虑应力敏感和吸附的页岩表观渗透率模型[J].岩性油气藏,2015,27(4):109-112. GUO Xiao,REN Ying,WU Hongqin.Apparent permeability model of shale gas considering stress sensitivity and adsorption[J].Lithologic Reservoirs,2015,27(4):109-112.

郭小哲,周长沙.基于滑脱的页岩气藏压裂水平井渗透模型及产能预测[J].石油钻采工艺,2015,37(3):61-65. Guo Xiaozhe, Zhou Changsha, Seepage and productivity forecast based on slippage of fratured horizontal well in shale gas pool[J].Oil Drilling Production Technology, 2015, 37(3):61-65.

孙海,姚军,孙致学,等.页岩气数值模拟技术进展及展望[J].油气地质与采收率,2012,19(1):46-49. SUN Hai,YAO Jun,SUN Zhixue.Recent development and prospect on numerical simulation of shale gas reservoirs[J].Petroleum Geology and Recovery Efficiency,2012,19(1):46-49.

李玉梅,吕炜,宋杰,等.层理性页岩气储层复杂网络裂缝数值模拟研究[J].石油钻探技术,2016,44(4):108-113. LI Yumei,LYU Wei,SONG Jie,et al.Numerical simulation study on the complex network fractures of stratified shale gas reservoirs[J].Petroleum Drilling Techniques,2016,44(4):108-113.

CARLSON E S,MERCER J C.Devonian shale gas production:mechanisms and simple models[J].Journal of Petroleum Technology,1991,43(4):476-482.

MORIDIS G J,BLASINGAME T A,FREEMAN C M.Analysis of mechanisms of flow in fractured tight-gas and shale-gas reservoirs[R].SPE 139250,2010.

KLINKENBERG L J.The permeability of porous media to liquids and gases[J].Socar Proceedings,1941,2(2):200-213.

张睿,宁正福,杨峰,等.微观孔隙结构对页岩应力敏感影响的实验研究[J].天然气地球科学,2014,25(8):1284-1289. ZHANG Rui,NING Zhengfu,YANG Feng,et al.Experimental study on microscopic pore structure controls on shale permeability under compaction process[J].Natural Gas Geoscience,2014,25(8):1284-1289.

JU Binshan,WU Yushu,FAN Tailiang.Study on fluid flow in nonlinear elastic porous media:experimental and modeling approaches[J].Journal of Petroleum Science Engineering,2011,76(3/4):205-211.

任飞,王新海,谢玉银,等.考虑滑脱效应的页岩气井底压力特征[J].石油天然气学报,2013,35(3):124-126. REN Fei,WANG Xinhai,XIE Yuyin,et al.Characteristics of bottom pressure of shale-gas well considering slippage effect[J].Journal of Oil and Gas Technology,2013,35(3):124-126.

韩大匡,陈钦雷,闫存章.油藏数值模拟基础[M].北京:石油工业出版社,1993. HAN Dakuang,CHEN Qinlei,YAN Cunzhang.Fundmentals of oil reservoir numerical simulation[M].Beijing:Petroleum Industry Press,1993.

JU Binshan,FAN Tailiang,WANG Xiaodong,et al.A new simulation framework for predicting the onset and effects of fines mobilization[J].Transport in Porous Media,2007,68(2):265-283.

葛洪魁,申颍浩,宋岩,等.页岩纳米孔隙气体流动的滑脱效应[J].天然气工业,2014,34(7):46-54. GE Hongkui,SHEN Yinghao,SONG Yan,et al.Slippage effect of shale gas flow in nanoscale pores[J].Natural Gas Industry,2014,34(7):46-53.

白玉湖,杨皓,陈桂华,等.页岩气产量递减典型曲线的不确定性分析方法[J].石油钻探技术,2013,41(4):97-100. BAI Yuhu,YANG Hao,CHEN Guihua,et al.An uncertainty analysis method on typical production decline curve for shale gas reservoirs[J].Petroleum Drilling Techniques,2013,41(4):97-100.

张荻萩,李治平,苏皓.页岩气产量递减规律研究[J].岩性油气藏,2015,27(6):138-144. ZHANG Diqiu,LI Zhiping,SU Hao.Production decline trend of shale gas[J].Lithologic Reservoirs,2015,27(6):138-144.

施引文献

资源附件(0)

访问统计