[1]肖飞,成志刚,李戈理,等.致密气藏水平井测井产能预测方法研究[J].测井技术,2019,43(02):143-148.[doi:10.16489/j.issn.1004-1338.2019.02.007]
 XIAO Fei,CHENG Zhigang,LI Geli,et al.Log-based Productivity Evaluation for Horizontal Wells in Tight Gas Reservoir[J].WELL LOGGING TECHNOLOGY,2019,43(02):143-148.[doi:10.16489/j.issn.1004-1338.2019.02.007]
点击复制

致密气藏水平井测井产能预测方法研究()
分享到:

《测井技术》[ISSN:1004-1338/CN:61-1223/TE]

卷:
第43卷
期数:
2019年02期
页码:
143-148
栏目:
非常规油气评价
出版日期:
2019-06-20

文章信息/Info

Title:
Log-based Productivity Evaluation for Horizontal Wells in Tight Gas Reservoir
文章编号:
1004-1338(2019)02-0143-06
作者:
肖飞 成志刚 李戈理 罗少成 陈玉林 杨智新 陆艳萍
(中国石油集团测井有限公司测井应用研究院, 陕西 西安 710077)
Author(s):
XIAO Fei CHENG Zhigang LI Geli LUO Shaocheng CHEN Yulin YANG Zhixin LU Yanping
(Research Institute of Logging Application, China Petroleum Logging CO. LTD., Xi'an, Shaanxi 710077, China)
关键词:
测井解释 产能预测 储层分类 水平井测井 致密气层
Keywords:
log interpretation productivity prediction reservoir classification horizontal well logging tight gas
分类号:
P631.84
DOI:
10.16489/j.issn.1004-1338.2019.02.007
文献标志码:
A
摘要:
苏里格气田×区具有孔隙度小、渗透率低、孔隙结构复杂、各向异性和非均质性强等特点。在水平井开发过程中,由于测井系列少,水平段物性变化大,难于给出合适的解释标准,多级分段压裂难以优选射孔层段,评价水平井产能成为难点。通过构建综合反映储层物性、岩性、电性的综合指数,对水平段分段分级评估,基于简化油藏渗流模型,利用测井资料分别计算各类储层的产能指数,与试油资料相结合得到了该区的产能预测模型。应用综合指数能很好地划分储层类型并指导射孔层段的优选,该产能预测方法只需测井参数,操作简单,预测精度高。
Abstract:
The X area of Sulige gas field has the characteristics of low porosity, low permeability, complex pore structure, strong anisotropy and heterogeneity. During the development with horizontal wells, it was difficult to establish appropriate interpretation standard, select which intervals to perforate when fracturing at multiple stages, and therefore hard to evaluate the productivity of the horizontal wells, because of insufficient log data and different reservoir physical properties of the horizontal sections. In this study, comprehensive indicators are introduced to reflect the lithologic, physical and electrical properties of reservoirs, so that the horizontal sections can be classified and evaluated. Then based on a simplified reservoir seepage model, the productivity of every reservoir is calculated using logging data. Finally, a productivity prediction model of a block is built by considering well test data. Comprehensive indicators can be used to classify reservoirs and select intervals to perforate. Only with logging parameters, the productivity prediction method is very easy to use and gives very accurate prediction.

参考文献/References:

[1] 周灿灿, 王昌学. 水平井测井解释技术综述 [J]. 地球物理学进展, 2006, 21(1): 152-160. [2] 程庆昭, 魏修平, 宿伟. 水平井测井解释评价技术综述 [J]. 非常规油气, 2006, 3(2): 93-98. [3] 陈木银, 何西攀, 金小慧. 水平井声波时差测井响应特征研究 [J]. 国外测井技术, 2013(4): 38-41. [4] 孙焕泉. 水平井开发技术 [M]. 北京: 石油工业出版社, 2012: 21-28. [5] 李晓平, 刘启国, 赵必荣. 水平气井产能影响因素分析 [J]. 天然气工业, 1998, 18(2): 53-56. [6] 张学文, 方宏长, 裘怿楠, 等. 低渗透率油藏压裂水平井产能影响因素 [J]. 石油学报, 1998, 20(4): 51-55. [7] 水平井油藏工程设计编委会. 水平井油藏工程设计 [M]. 北京: 石油工业出版社, 2011: 113-166. [8] 陈志海, 马新仿, 郎兆新. 气藏水平井产能预测方法 [J]. 天然气工业, 2006, 26(2): 98-99. [9] 阵元千. 水平井产量公式的推导与对比 [J]. 新疆石油地质, 2008, 29(1): 68-71. [10] JOSHI S D, et al. Production forecasting methods for horizontal wells [R]. SPE 17580, 1988. [11] 单娜, 黄涛. 水平井产能预测方法与校正探讨 [J]. 内蒙古石油化工, 2011(11): 34-36.

相似文献/References:

[1]赵军龙,李甘,李传浩,等.鄂尔多斯盆地Z区长81储层流体快速识别技术研究[J].测井技术,2012,36(05):485.
 ZHAO Junlong,LI Gan,LI Chuanhao,et al.Research on the Fast Identification Technique about Fluid Property of Chang 81 Reservoirs at Z Block in Ordos Basin[J].WELL LOGGING TECHNOLOGY,2012,36(02):485.
[2]关丽.偶极子声波测井在罗家地区沙三段泥页岩储层评价中的应用[J].测井技术,2012,36(05):495.
 GUAN Li.Application of Dipole Acoustic Logging to Shale Reservoir Evaluation of Luojia Area[J].WELL LOGGING TECHNOLOGY,2012,36(02):495.
[3]赵永刚,冉利民,吴非.螺纹井眼测井曲线频域滤波校正[J].测井技术,2012,36(05):499.
 ZHAO Yonggang,RAN Limin,WU Fei.Frequency Domain Filtering Correction of Log Data from a Corkscrew Borehole[J].WELL LOGGING TECHNOLOGY,2012,36(02):499.
[4]李山生,黄质昌,杜蕊,等.WaxmanSmits模型中参数B和QV计算方法研究[J].测井技术,2012,36(03):244.
 LI Shansheng,HUANG Zhichang,DU Rui,et al.Study on Computational Methods of Parameter B and QV in WaxmanSmits Model[J].WELL LOGGING TECHNOLOGY,2012,36(02):244.
[5]陈明江,任兴国.含沥青储层的测井识别及评价[J].测井技术,2012,36(03):272.
 CHEN Mingjiang,REN Xingguo.Log Identification and Evaluation for Bitumenbearing Reservoir[J].WELL LOGGING TECHNOLOGY,2012,36(02):272.
[6]程玉梅,张小刚,魏国.介电扫描测井技术在长庆油田的应用[J].测井技术,2012,36(03):277.
 CHENG Yumei,ZHANG Xiaogang,WEI Guo.Application of Dielectric Scanner Logging in Changqing Oilfield[J].WELL LOGGING TECHNOLOGY,2012,36(02):277.
[7]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(02):308.
[8]孙建孟,闫国亮.渗透率模型研究进展[J].测井技术,2012,36(04):329.
 SUN Jianmeng,YAN Guoliang.Review on Absolute Permeability Model[J].WELL LOGGING TECHNOLOGY,2012,36(02):329.
[9]宋延杰,么丽娜,徐广田,等.长垣地区低孔隙度低渗透率砂岩储层中连通导电模型的应用[J].测井技术,2012,36(04):345.
 SONG Yanjie,YAO Lina,XU Guangtian,et al.Study on Connectivity Model for Low Porosity and Permeability Sand Reservoirs in Daqing Placanticline[J].WELL LOGGING TECHNOLOGY,2012,36(02):345.
[10]张丽华,潘保芝,刘思慧,等.梨树断陷东南斜坡带砂砾岩岩性识别方法研究[J].测井技术,2012,36(04):370.
 ZHANG Lihua,PAN Baozhi,LIU Sihui,et al.On Lithology Identification Methods of Glutinite in Southeast Ramp Region of Lishu Fault Depression[J].WELL LOGGING TECHNOLOGY,2012,36(02):370.
[11]彭智,赵文杰,张晋言,等.胜利油田基山砂岩体产能预测研究[J].测井技术,2004,28(05):423.
 PENG Zhi,ZHAO Wen-jie,ZHANG Jin-yan,et al.On Reservoir Productivity Forecast for Jishan Sand Bed in Shengli Oilfield[J].WELL LOGGING TECHNOLOGY,2004,28(02):423.
[12]邵先杰,董新秀,汤达祯,等.韩城矿区煤岩类型测井解释技术及产能预测方法[J].测井技术,2013,37(06):671.
 SHAO Xianjie,DONG Xinxiu,TANG Dazhen,et al.Coal Type Definition and Productivity Production of Hancheng Mining Area Based on Logging Data[J].WELL LOGGING TECHNOLOGY,2013,37(02):671.
[13]王成龙,夏宏泉,杨双定.基于岩石脆性系数的压裂缝高度与宽度 预测方法研究[J].测井技术,2013,37(06):676.
 WANG Chenglong,XIA Hongquan,YANG Shuangding.On Fracture Height and Width Prediction Method Based on Rock Brittleness Coefficient[J].WELL LOGGING TECHNOLOGY,2013,37(02):676.
[14]李玮,张占松,祗淑华,等.RY凹陷致密砂岩神经网络产能分类预测方法[J].测井技术,2013,37(06):688.
 LI Wei,ZHANG Zhansong,ZHI Shuhua,et al.Neural Network Productivity Prediction in Tight Sandstone of RY Depression[J].WELL LOGGING TECHNOLOGY,2013,37(02):688.
[15]谢关宝,武清钊,赵文杰.砂泥岩储层测井产能预测方法及应用[J].测井技术,2014,38(01):104.[doi:10.3969/j.issn.1004-1338.2014.01.018]
 XIE Guanbao,WU Qingzhao,ZHAO Wenjie.Productivity Prediction Method of Shaly Sand Reservoirs Using Log Data and Its Application[J].WELL LOGGING TECHNOLOGY,2014,38(02):104.[doi:10.3969/j.issn.1004-1338.2014.01.018]
[16]赵军,杨阳,李伟伟,等.基于有效地层系数的气井产能预测方法[J].测井技术,2015,39(04):501.[doi:10.16489/j.issn.1004-1338.2015.04.021]
 ZHAO Jun,YANG Yang,LI Weiwei,et al.Prediction Method of Productivity in Tight Sand Stone Based on Effective Formation Factor[J].WELL LOGGING TECHNOLOGY,2015,39(02):501.[doi:10.16489/j.issn.1004-1338.2015.04.021]
[17]张晋言,刘伟,李绍霞,等.胜利油田上古生界致密砂岩低对比度油藏测井解释模式细分技术[J].测井技术,2018,42(02):193.[doi:10.16489/j.issn.1004-1338.2018.02.012]
 ZHANG Jinyan,LIU Wei,LI Shaoxia,et al.Well Logging Interpretation Model Subdivision Technique for Low Contrast Reservoir of Tight Sand Reservoir of Neopaleozoic in Shengli Oilfield[J].WELL LOGGING TECHNOLOGY,2018,42(02):193.[doi:10.16489/j.issn.1004-1338.2018.02.012]

备注/Memo

备注/Memo:
(修回日期: 2019-01-22 本文编辑 余迎)基金项目: 中国石油天然气集团有限公司重大专项“测井重大技术现场试验与集成配套”(2016D-3803) 第一作者: 肖飞,男,1984年生,硕士,工程师,从事测井资料解释评价工作。E-mail:xiaof123@cnpc.com.cn
更新日期/Last Update: 2019-06-20