@import "StyleSheet.css";
    1. <div id="a8tz1"><tr id="a8tz1"><kbd id="a8tz1"></kbd></tr></div>

        1. [1]范宜仁,宋岩,张海涛,等.低渗透致密砂岩气层产能预测方法研究[J].测井技术,2016,40(05):602-608.[doi:10.16489/j.issn.1004-1338.2016.05.015]
           FAN Yiren,SONG Yan,ZHANG Haitao,et al.Capacity Prediction Methods of Tight Gas Sandstone Reservoir with Low permeability[J].WELL LOGGING TECHNOLOGY,2016,40(05):602-608.[doi:10.16489/j.issn.1004-1338.2016.05.015]
          点击复制

          低渗透致密砂岩气层产能预测方法研究()
          分享到:

          《测井技术》[ISSN:1004-1338/CN:61-1223/TE]

          卷:
          第40卷
          期数:
          2016年05期
          页码:
          602-608
          栏目:
          非常规油气评价
          出版日期:
          2016-10-19

          文章信息/Info

          Title:
          Capacity Prediction Methods of Tight Gas Sandstone Reservoir with Low permeability
          文章编号:
          1004-1338(2016)05-0602-07
          作者:
          范宜仁12 宋岩12 张海涛3 张鹏4 李思5
          1.中国石油大学(华东)地球科学与技术学院, 山东 青岛 266580;
          2.中国石油大学(华东)CNPC测井重点 实验室, 山东 青岛 266580;
          3.中国石?#32479;?#24198;油田分公?#31350;?#25506;开发研究院, 陕西 西安 710018;
          4.中国石油 长庆油田分公司, 陕西 西安 710018;
          5.中国石油集团测井有限公司华北事业部, 河北 任丘 062552
          Author(s):
          FAN Yiren12 SONG Yan12 ZHANG Haitao3 ZHANG Peng4 LI Si5
          1. School of Geosciences, China University of Petroleum, Qingdao, Shandong 266580, China;
          2. CNPC Key Laboratory for Well Logging, China University of Petroleum, Qingdao, Shandong 266580, China;
          3. Exploration and Development Research Institute, Changqing Oilfield Company, Xi'an, Shaanxi 710018, China;
          4. Changqing Oilfield Company of CNPC, Xi'an, Shaanxi 710018, China;
          5. Huabei Division, China Petroleum Logging CO. LTD., Renqiu, Hebei 062552, China
          关键词:
          测井评价 产能预测 致密砂岩 体积模量 Xu-White模型 Gassmann方程
          Keywords:
          log evaluation capacity prediction tight sandstone bulk modulus Xu-White model Gassmann function
          分类号:
          P631.81
          DOI:
          10.16489/j.issn.1004-1338.2016.05.015
          文献标志码:
          A
          摘要:
          鄂尔多斯盆地东部上古生界含气储层物性差,渗流规律复杂,孔隙流体对测井响应特征贡献小,储层参数计算精度低,导致产能预测困?#36873;?#38024;对这一问题,在对不同孔隙结构储层进行分类后,研究了常规产能预测方法,在此基础上从岩石物理实验出发,结合Biot-Gassmann理论和Xu-White模型,分析储层含气性与声学特征的关系,提取产能敏感因子,建立基于阵列声波测井的产能预测模型。研究表明,体积模量对储层含气性较为敏感,据此建立的气层产能预测模型克服了储层物性参数计算精度低的问题,与基于常规测井资?#31995;?#20135;能预测模型相比,在致密砂岩气层具有更好的应用效果。
          Abstract:
          The gas reservoir property is poor and the percolation mechanism is complex in the eastern part of Upper Paleozoic in the Ordos Basin. It is difficult to determine the gas productivity index. And the relationship between gas abundance and porosity-permeability is ambiguity. Therefore conventional productivity prediction method is not effective. Based on petrophysical experiments and wireline log data, analyzed are the differences of different fluids in acoustic and elastic parameters. Then the sensitive parameters of the gas reservoir is optimized and gets the parameters with the Xu-White model and Gassmann function. Lastly the prediction model is established on the basis of sensitive parameters. The research concludes that bulk modulus is highly sensitive to the capacity of gas reservoir. And obtaining elastic parameters does not rely on the physical properties of gas reservoir. This method facilitates the capacity prediction of tight gas sandstone reservoir.

          参考文献/References:

          [1] 邹才能, 陶士振, 袁选俊, 等. 连续型油气藏形成条件与分布特征 [J]. 石油学报, 2009, 30(3): 324-331.
          [2] 杨华, 付金华, 刘?#24459;? 等. 鄂尔多斯盆地上古生界致密气成藏条件与勘探开发 [J]. 石油勘探与开发, 2012, 39(3): 295-303.
          [3] 韩雪, 潘保芝. 利用测井资料预测储层产能 [J]. 吉林大学学报: 地球科学版, 2010, 40: 102-105.
          [4] 孙建孟, 运华云, 冯春珍. 测井产能预测方法与实例 [J]. 测井技术, 2012, 36(6): 628-634.
          [5] 谭成仟, 马娜蕊, 苏超. 储层油气产能的预测模型和方法 [J]. 地球科学与环境学报, 2004, 26(2): 42-46.
          [6] 成志刚, 张蕾, 赵建武, 等. 利用岩石声学特性评价致密砂岩储层含气性 [J]. 测井技术, 2013, 37(3): 253-257.
          [7] 毛志强, 李进福. 油气层产能预测方法及模型 [J]. 石油学报, 2000, 21(5): 58-61.
          [8] 张海涛, 石玉江, 张鹏, 等. 基于?#25216;?#27178;波测井的低渗透砂岩气层识别方法 [J]. 测井技术, 2015, 39(5): 591-595.
          [9] 范宜仁, 邢东辉, 邓少贵, 等. 低渗透岩石声学特征及在含气性预测中的应用 [J]. 西南石油大学学报: 自然科学版, 2015, 37: 64-70.
          [10] Mavko G, Mukerji T, Dvorkin J. The Rock Physics Handbook: Tools for Seismic Analysis of Porous Media [M]. Cambridge: Cambridge University Press, 2009.
          [11] Gassmann, F. Uber die Elastizitat Poroser Medien, Vierteljahrsschrift der Naturforschenden Gesellschaft in Zurich, 96: 1-23.
          [12] Russell B H, Hedlin K, Hilterman F J, et al. Fluid-property Discrimination with AVO: A Biot-Gassmann Perspective [J]. Geophysics, 2003, 68(1): 29-39.
          [13] Xu S, White R E. A New Velocity Model for Clay-sand Mixtures [J]. Geophysical Prospecting, 1995, 43(1): 91-118.
          [14] Xu S, White R. Poro-elasticity of Clastic Rocks: A Unified Model [C]∥The SPWLA 36th Annual Logging Symposium, 1995.
          [15] Key R G, Xu S. An Approximation for the Xu-White Velocity Model [J]. Geophysical, 1996, 67(5): 1406-1414.
          [16] Biot M A. General Theory of Three-dimensional Consolidation [J]. Journal of Applied Physics, 1941, 12(2): 155-164.

          相似文献/References:

          [1]万金彬,李庆华,白松涛.页岩气储层测井评价及进展[J].测井技术,2012,36(05):441.
           WAN Jinbin,LI Qinghua,BAI Songtao.Welllogging Evaluation in Shale Gas Reservoir and Its Advances[J].WELL LOGGING TECHNOLOGY,2012,36(05):441.
          [2]张凤生,司马立强,赵冉,等.塔河油田储层裂缝测井识别和有效性评价[J].测井技术,2012,36(03):261.
           ZHANG Fengsheng,SIMA Liqiang,ZHAO Ran,et al.Log Identification and Effectiveness Evaluation on Reservoir Fractures in Tahe Oilfield[J].WELL LOGGING TECHNOLOGY,2012,36(05):261.
          [3]葛祥,何传亮,朱小红,等.川东北地区?#36739;?#22320;层井壁稳定性测井分析[J].测井技术,2012,36(02):164.
           GE Xiang,HE Chuanliang,ZHU Xiaohong,et al.Borehole Stability Logging Analysis in Terrestrial Formation in Northeastern Sichuan[J].WELL LOGGING TECHNOLOGY,2012,36(05):164.
          [4]胡瑞波,常静春,张文胜,等.歧口凹陷湖相碳酸盐岩储层岩性识别及储集类型研究[J].测井技术,2012,36(02):179.
           HU Ruibo,CHANG Jingchun,ZHAN Wensheng,et al.On Lithology Identification of Limnetic Facies Carbonate Reservoir in Qikou Sag and Its Reservoir Types[J].WELL LOGGING TECHNOLOGY,2012,36(05):179.
          [5]章海宁,张翔,李国瑛,等.三塘湖盆地火山岩储层测井定量评价方法[J].测井技术,2012,36(01):24.
           ZHANG Haining,ZHANG Xiang,LI Guoying,et al.Quantitative Log Evaluation Method for Volcanic Reservoir in Santanghu Basin[J].WELL LOGGING TECHNOLOGY,2012,36(05):24.
          [6]肖承文.塔里木盆地高压气藏出砂测井评价方法研究[J].测井技术,2012,36(01):41.
           XIAO Chengwen.On Sand Production Log Evaluation of Highpressure Gas Reservoir in Tarim Basin[J].WELL LOGGING TECHNOLOGY,2012,36(05):41.
          [7]赵江青,匡立春,刘应,等.非均质储层孔喉结构的测井评价方法[J].测井技术,1998,22(S1):60.
          [8]李虎,范宜仁,丛云海,等.基于改进SADE算法的神经网络预测储层物性[J].测井技术,2012,36(06):585.
           LI Hu,FAN Yiren,CONG Yunhai,et al.A New Method Predicting Reservoir Properties with Neural Network Based on SADE Algorithm[J].WELL LOGGING TECHNOLOGY,2012,36(05):585.
          [9]孙建孟,运华云,冯春珍.测井产能预测方法与实例[J].测井技术,2012,36(06):628.
           SUN Jianmeng,YUN Huayun,FENG Chunzhen.The Methods and Instances of Productivity Prediction Using Log Data[J].WELL LOGGING TECHNOLOGY,2012,36(05):628.
          [10]柴细元,丁娱娇.孔隙结构与地层压力相结?#31995;?#20648;层产能预测技术[J].测井技术,2012,36(06):635.
           CHAI Xiyuan,DING Yujiao.Combination Technology of the Pore Structure and Formation Pressure for Productivity Prediction[J].WELL LOGGING TECHNOLOGY,2012,36(05):635.
          [11]冯春珍,林伟川,成志刚,等.低渗透储层测井分类和产能预测技术[J].测井技术,2012,36(03):308.
           FENG Chunzhen,LIN Weichuan,CHENG Zhigang,et al.Reservoir Classification and Productivity Forecasting Method for Low Prorosity and Permeability Reservoir with Log Data[J].WELL LOGGING TECHNOLOGY,2012,36(05):308.
          [12]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(01):101.
           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(05):101.
          [13]王贵清,刘俊东,文得进,等.基于远探测声波碳酸盐岩储层产能预测技术[J].测井技术,2014,38(06):745.[doi:10.3969/j.issn.1004-1338.2014.06.020]
           WANG Guiqing,LIU Jundong,WEN Dejin,et al.Carbonate Reservoir Productivity Forecasting Technology Based on Distance Detection Acoustic Logging Tool[J].WELL LOGGING TECHNOLOGY,2014,38(05):745.[doi:10.3969/j.issn.1004-1338.2014.06.020]
          [14]万金彬,白松涛,郭笑锴,等.南堡凹陷深层低孔隙度低渗透率储层产能预测方法万[J].测井技术,2015,39(03):373.[doi:10.16489/j.issn.1004-1338.2015.03.022]
           WAN Jinbin,BAI Songtao,GUO Xiaokai,et al.Productivity Prediction Methods of Low Porosity and Permeability in Deep Reservoir in Nanpu Sag[J].WELL LOGGING TECHNOLOGY,2015,39(05):373.[doi:10.16489/j.issn.1004-1338.2015.03.022]
          [15]成家杰,王文文,侯振学,等.常规测井资料在致密砂岩储层产能评价中的应用[J].测井技术,2017,41(03):325.[doi:10.16489/j.issn.1004-1338.2017.03.015]
           CHENG Jiajie,WANG Wenwen,HOU Zhenxue,et al.Application of Conventional Log Data to Productivity Evaluation of Tight Sandstone Gas Reservoirs[J].WELL LOGGING TECHNOLOGY,2017,41(05):325.[doi:10.16489/j.issn.1004-1338.2017.03.015]
          [16]王忠东,王业博,董红,等.页岩气水平井产量主控因素分析及产能预测[J].测井技术,2017,41(05):577.[doi:10.16489/j.issn.1004-1338.2017.05.003]
           WANG Zhongdong,WANG Yebo,DONG Hong,et al.Production Main Control Factors Analysis and Productivity Prediction for Shale Gas of Horizontal Well[J].WELL LOGGING TECHNOLOGY,2017,41(05):577.[doi:10.16489/j.issn.1004-1338.2017.05.003]

          备注/Memo

          备注/Memo:
          基金项目: 国家自然科学基金项目(41474100、41404086); 中国石油天然气股份公司重大科技专项长庆油田油气当量上产5000万t关键技术研究(2011E-1303); 中国石油大学(华东)研究生创新工程(YCX2015003)
          作者简介: 范宜仁,男,1962年生,教授,博士生导师,从事岩石物理与测井新方法研究。E-mail: [email protected]
          更新日期/Last Update: 2016-10-30
          11选五开奖结果