天然气勘探

鄂尔多斯盆地某地区石盒子组低渗透天然气储层产能测井预测

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  • 1.长江大学油气资源与勘探技术教育部重点实验室,湖北 武汉 430100;
    2.长江大学地球物理与石油资源学院,湖北 武汉 430100;
    3.中国海油研究总院,北京100027;
    4.中国石油塔里木油田分公司天然气事业部,新疆 库尔勒 841000
陈雨龙(1990-),男,湖北襄阳人,硕士研究生,主要从事非常规储层测井解释评价研究. E-mail:cyllogging@163.com.

收稿日期: 2016-06-29

  修回日期: 2016-08-09

  网络出版日期: 2019-09-06

基金资助

国家自然科学基金(编号:41404084);湖北省自然科学基金(编号:2013CFB396)联合资助.

Productivity log forecasting of low permeability gas reservoir of Shihezi Formation in X area of Ordos Basin

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  • 1.Key Laboratory of Exploration Technologies for Oil and Gas Resources of Education Ministry of
    Yangtze University,Wuhan 430100,China;2.Geophysics and Oil Resource Institute,Yangtze University,
    Wuhan 430100,China;3.CNOOC Research Institute,Beijing 100027,China;4.Institute of Petroleum
    Exploration and Development,PetroChina Tarim Oilfield Company,Korla 841000,China

Received date: 2016-06-29

  Revised date: 2016-08-09

  Online published: 2019-09-06

摘要

在油气田勘探与开发中,低渗透储层产能测井预测是一个关键也是一个难点。依据测井、测试和岩心实验资料,首先针对自然生产与压裂生产的不同生产措施,确定物性下限,孔隙度10%、渗透率1×10-3μm2为自然生产储层物性下限,孔隙度6%、渗透率0.1×10-3μm2为储层产能物性下限;然后根据生产情况,将产能分为自然生产、压后产气大于10 000m3/d、压后产气3 000~10 000m3/d和压后无产4个等级,总结常规测井响应特征,采用自然伽马与密度—中子视石灰岩孔隙度差值结合储层孔隙度、渗透率建立产能分级预测模型;其次由渗流力学和毛管理论可知,压后每米无阻产气量与可动流体孔隙度呈现指数关系,利用核磁共振测井确定储层有效流动孔隙度,建立压后每米无阻产气量测井定量预测模型;最后将产能测井预测模型应用于鄂尔多斯盆地某地区石盒子组低渗透天然气储层的产能预测,预测结果与测试结果符合很好,压后定量预测结果与测试结果相对误差均在10%以内。

本文引用格式

陈雨龙, 张冲, 石文睿, 郭冀宁, 秦瑞宝, 余杰, 周兴波 . 鄂尔多斯盆地某地区石盒子组低渗透天然气储层产能测井预测[J]. 天然气地球科学, 2016 , 27(12) : 2216 -2222 . DOI: 10.11764/j.issn.1672-1926.2016.12.2216

Abstract

The process of oil-gasfield exploration and development,productivity log forecasting of low permeability gas reservoir is a key and difficult point.On the basis of log,testing and core experimental data,firstly,according to the different production measure,the lower limit of reservoir physical property is determined.Reservoirs with porosity and permeability greater than 10% and 1×10-3μm2,respectively,have natural productivity,and reservoirs with porosity and permeability less than 6% and 0.1×10-3μm2,respectively,have no productivity.Secondly,according to the production condition,productivity is divided into natural productivity,post-frac AOF>10 000m3/d,post-frac AOF 3 000-10 000m3/d and post-frac without production.Their log characteristics of different productivity levels are studied,and using GR,φD-N,porosity and permeability,four productivity levels can be forecasted.Then followed by permeation fluid mechanics and capillary theory,the relationship of post-frac AOF per meter and efficient flow pore,calculated by NMR,is index,and the model can be established.Finally,productivity of low permeability gas reservoir of Shihezi Formation in X area of Ordos Basin is calculated and the forecast results accord with test results well,and the relative error is less than 10%.

参考文献

[1]Zhang Lihua,Pan Baozhi,Zhuang Hua,et al.Productivity log forecasting method for post-frac reservoir with low porosity and low permeability[J].Well Logging Technology,2012,36(1):101-105.[张丽华,潘保芝,庄华,等.低孔隙度低渗透率储层压裂后产能测井预测方法研究[J].测井技术,2012,36(1):101-105.]
[2]Pan Baozhi,Shi Yujiang,Jiang Bici,et al.Research on gasfield and level prediction for post-frac tight sandstone reservoirs[J].Journal of Jilin University:Earth Science Edition,2015,45(2): 649-654.[潘保芝,石玉江,蒋必辞,等.致密砂岩气层压裂产能及等级预测方法[J].吉林大学学报:地球科学版,2015,45(2):649-654.]
[3]Guo Zhenhua,Zhao Yanchao.Logging evaluation to tight gas reservoir in He2 member of Daniudi Gasfield[J].Natural Gas Geoscience,2010,21(1):87-94.[郭振华,赵彦超.大牛地气田盒2段致密砂岩气层测井评价[J].天然气地球科学,2010,21(1):87-94.]
[4]Zhang Lingyun.Study on method evaluating tight clastic reservoir[J].Oil Geophysical Prospecting,2008,43(5):595-599.[张凌云.致密碎屑岩储层评价方法研究[J].石油地球物理勘探,2008,43(5):595-599.]
[5]Ju Jianghui,Wang Jiangong,Gao Ruiqin,et al.Productivity forecast of the reservoir with low porosity and low permeability in Erlian Oilfield[J].Well Logging Technology,2005,29(4): 379-381.[鞠江慧,王建功,高瑞琴,等.二连油田低孔隙度低渗透率储层压裂后产能预测[J].测井技术,2005,29(4):379-381.]
[6]Yan Jianwen,Zhang Shongyang,Huang Guoqian.Relationship between reservoir log parameters and AOF in Daniudi Gasfield[J].Natural Gas Industry,2008,28(2):67-69.[严建文,张松扬,黄国骞.大牛地气田储层测井参数与无阻流量的关系[J].天然气工业,2008,28(2):67-69.]
[7]Li Jing,Yang Yong,Wang Shaofei,et al.Determination of the lower limits of the physical properties of consolidated sandstone reservoirs in eastern Sulige Gasfield[J].Special Oil & Gas Reservoirs,2011,18(6):52-56.[黎菁,杨勇,王少飞,等.苏里格气田东区致密砂岩储层物性下限值的确定[J].特种油气藏,2011,18(6):52-56.]
[8]Guo Rui.Supplement to determining method of cut-off value of net pay[J].Petroleum Exploration & Development,2004,31(5):140-144.[郭睿.储集层物性下限值确定方法及其补充[J].石油勘探与开发,2004,31(5):140-144.]
[9]Zhang Chong,Zhang Zhansong,Zhang Chaomo.A permeability interpretation model based on equivalent rock elements theory[J].Well Logging Technology,2014,38(6):690-694.[张冲,张占松,张超谟.基于等效岩石组分理论的渗透率解释模型[J].测井技术,2014,38(6):690-694.]
[10]Song Yanjie,Zhou Yuting,Tang Xiaomin,et al.Method for determination of permeability of shaly sand formation with low porosity and permeability based on efficient flow pore[J].Progress in Geophysics,2016,31(1):327-333.[宋延杰,周玉婷,唐晓敏,等.基于有效流动孔隙的低孔渗泥质砂岩储层渗透率确定方法[J].地球物理学进展,2016,31(1):327-333.]
[11]Amaefule J O,Altunbay M,Tiab D,et al.Enhanced Reservoir Description:Using Core and Log Data to Identify Hydraulic(flow) Units and Predict Permeability in Uncored Intervals/Wells[C].SPE 68th Annual Technical Conference and Exhibition of the Society of Petroleum Engineers,Texas:3-6 October,1993.
[12]Zhu Weiyao,Song Hongqing,He Dongfu,et al.Low-velocity non-darcy gas seepage model and productivity equations of low-permeability water-bearing gas reservoirs[J].Natural Gas Geoscience,2008,19(5):685-689.[朱维耀,宋洪庆,何东博,等.含水低渗气藏低速非达西渗流数学模型及产能方程研究[J].天然气地球科学,2008,19(5):685-689.]
[13]Bushlanov V P,Bushlanov I V,Sentyakova E N.Permeability coefficient in Darcy’s filtration law[J].Journal of Applied Mechanics & Technical Physics,2013,54(4):608-611.
[14]Payne L E,Rodrigues J F,Straughan B.Effect of anisotropic permeability on Darcy's law[J].Mathematical Methods in the Applied Sciences,2001,24(6):427-438.
[15]Li Pengju,Gu Yufeng.Matrix method of transforming NMR T2 spectrum to pseudo capillary pressure curve[J].Natural Gas Geoscience,2015,26(4):700-705.[李鹏举,谷宇峰.核磁共振T2谱转换伪毛管压力曲线的矩阵方法[J].天然气地球科学,2015,26(4):700-705.]
[16]Shi Jianchao,Qu Xuefeng,Lei Qihong,et al.Distribution characteristics and controlling factors of movable fluid in tight oil reservoir:A case study of Chang 7 reservoir in Ordos Basin[J].Natural Gas Geoscience,2016,27(5):827-834,850.[时建超,屈雪峰,雷启鸿,等.致密油储层可动流体分布特征及主控因素分析——以鄂尔多斯盆地长7储层为例[J].天然气地球科学,2016,27(5):827-834,850.]
[17]Wang Ruifei,Chen Minqiang.Characteristics and influencing factors of movable fluid in ultra-low permeability sandstone reservoir[J].Acta Petrolei Sinica,2008,29(4):558-561,566.[王瑞飞,陈明强.特低渗透砂岩储层可动流体赋存特征及影响因素[J].石油学报,2008,29(4):558-561,566.]
[18]Xie R H,Xiao L Z,Wang Z D,et al.The influence factors of NMR logging porosity in complex fluid reservoir[J].Science in China,2008,51(2):212-217.
[19]Xiao Liang,Xiao Zhongxiang.Analysis of methods for determining NMR T2cutoff and its applicability[J].Progress in Geophysics,2008,23(1):167-172.[肖亮,肖忠祥.核磁共振测井T2cutoff确定方法及适用性分析[J].地球物理学进展,2008,23(1):167-172.]

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