[1]黄科,万金彬,苗秀英,等.测井评价煤层气藏面临的挑战与发展方向[J].测井技术,2014,38(01):22-27.[doi:10.3969/j.issn.1004-1338.2014.01.003]
 HUANG Ke,WAN Jinbin,MIAO Xiuying,et al.The Challenges and Research Direction of Logging Technologies in Coalbed Methane Reservoir[J].WELL LOGGING TECHNOLOGY,2014,38(01):22-27.[doi:10.3969/j.issn.1004-1338.2014.01.003]
点击复制

测井评价煤层气藏面临的挑战与发展方向
分享到:

《测井技术》[ISSN:1004-1338/CN:61-1223/TE]

卷:
第38卷
期数:
2014年01期
页码:
22-27
栏目:
综述
出版日期:
2014-02-28

文章信息/Info

Title:
The Challenges and Research Direction of Logging Technologies in Coalbed Methane Reservoir
文章编号:
1004-1338(2014)01-0022-06
作者:
黄科 万金彬 苗秀英 李玲芝
中国石油集团测井有限公司, 陕西 西安 710077
Author(s):
HUANG Ke WAN Jinbin MIAO Xiuying LI Lingzhi
China Petroleum Logging CO. LTD., Xi'an, Shaanxi 710077, China
关键词:
测井评价 煤层气 数据采集 地层评价
Keywords:
log evaluation coalbed methane data acquisition formation evaluation
分类号:
P631.84
DOI:
10.3969/j.issn.1004-1338.2014.01.003
文献标志码:
A
摘要:
煤层具有低孔隙度、非均质强、有机质骨架以及气体赋存状态多样等特点,煤层易碎造成井眼垮塌、夹矸发育、气体响应不明显等问题,现有的煤心实验装备在测量方法和测量精度上都难以满足煤层气储层评价的需要。从井眼环境、测井响应入手,系统分析了常规测井评价煤层气储层的局限性。从理论基础、实验装备、测井仪器以及测井新技术与新方法等方面提出了测井评价煤层气储层的发展方向与新思路。测井新技术如元素俘获谱测井、电成像测井、核磁共振测井以及阵列声波测井与常规测井相比具有独特的技术优势,在煤层气储层评价和工程应用方面都能发挥明显的作用。
Abstract:
The coalbed is characterized by low porosity, strong heterogeneity, various organic matrix and gas storages. The coalbed is breakable to cause borehole collapes, developed dirtband, unclear gas response, etc. The existed coal core test devices can't meet the requirement of coalbed methane evaluation in measuring methods and precision. Based on the borehole environment and logging response, the disadvantage of logging technologies in coalbed methane reservoirs are reviewed in this paper. And the new ideas of well logging for coalbed methane reservoir are discussed from basic theory, experimental equipment, logging tools and new technologies. Compared with conventional log, the new log technologies such as the element captured spectrum log, electric imaging log, NMR log and array sonic log have great advantages in coalbed methane evaluation.

参考文献/References:

[1] 贾承造, 郑民, 张永峰. 中国非常规油气资源与勘探开发前景 [J]. 石油勘探与开发, 2012, 39(2): 129-136.
[2] 胡文瑞. 中国石油非常规油气业务发展与展望 [J]. 天然气工业, 2008, 28(7): 5-7.
[3] 国土资源部油气资源战略研究中心. 全国石油天然气资源评价 [M]. 北京: 中国大地出版社, 2010.
[4] 钱凯, 赵庆波, 王泽成, 等. 煤层甲烷气勘探开发理论与实验测试技术 [M]. 北京: 石油工业出版社, 1997.
[5] 李文阳, 王慎言, 赵庆波. 中国煤层气勘探与开发 [M]. 北京: 中国矿业大学出版社, 2001.
[6] 黄智辉, 潘和平. 测井资料解释煤层气层方法研究 [J]. 现代地质, 1994, 8(1): 119-125.
[7] 侯俊胜, 尉中良. 自组织神经网络在测井资料解释中的应用 [J]. 测井技术, 1996, 20(3): 197-200.
[8] 潘和平, 刘国强. 依据密度测井资料评估煤层的含气量 [J]. 地球物理学进展, 1996, 11(4): 53-62.
[9] 潘和平, 刘国强. 应用BP神经网络预测煤质参数及含气量 [J]. 地球科学: 中国地质大学学报, 1997, 22(2): 210-214.
[10] 高绪晨, 张炳, 羡法. 煤层工业分析、吸附等温线和含气量的测井技术 [J]. 测井技术, 1999, 23(2): 108-111.
[11] 岳晓燕. 利用测井资料计算煤层气单井控制地质储量 [J]. 测井技术, 1999, 23(5): 393-395.
[12] 侯俊胜. 煤层气储层测井评价方法以及应用 [M]. 北京: 冶金工业出版社, 2000.
[13] 傅雪海, 姜波, 叶诗忠, 等. 用测井曲线划分媒体结构和预测煤储层渗透率 [J]. 测井技术, 2003, 27(2): 140-143.
[14] 王敦则, 蔚远江, 覃世银, 等. 煤层气地球物理测井技术发展综述 [J]. 地球学报, 2003, 24(4): 385-390.
[15] 潘和平. 煤层气储层测井评价 [J]. 天然气工业, 2005, 25(3): 48-51.
[16] 薄冬梅, 赵永军, 姜林, 等. 煤层气储层渗透性研究进展 [J]. 西南石油大学学报:自然科学版, 2008, 30(6): 31-34.
[17] 张莉莉, 蔡文渊. 煤层气成像测井资料综合评价方法 [J]. 测井技术, 2009, 33(6): 571-574.
[18] 邓少贵, 李智强, 陈华. 煤层气储层裂隙阵列侧向测井响应数值模拟与分析 [J]. 煤田地质与勘探, 2010, 38(3): 55-60.
[19] 毛志强, 赵毅, 孙伟, 等. 利用地球物理测井资料识别我国的煤阶类型 [J]. 煤炭学报, 2011, 36(5): 766-771.
[20] 陈钟惠. 煤和含煤岩系的沉积环境 [M]. 武汉: 中国地质大学出版社, 1988.
[21] GB/T 19559-2008. 煤层含气量测定方法 [S]. 北京: 中国标准出版社, 2008.
[22] 高绪晨. 密度和中子测井对煤层甲烷含气量的响应及解释 [J]. 煤田地质与勘探, 1999, 27(3): 25-29.
[23] 刘易, 汤天知, 岳爱忠. 一种新型岩性密度测井仪数据采集处理电路设计 [J]. 测井技术, 2012, 36(4): 397-400.
[24] 何雨丹, 肖立志, 毛志强, 等. 测井评价“三低”油气藏面临的挑战和发展方向 [J]. 地球物理学进展, 2005, 20(2): 282-288.
[25] Archie G R. The Electrical Resistivity Log as an Aid in Determining Some Reservoir Characteristics [J]. AIME, 1942, 146(1): 54-56.
[26] Alexeev A D, Ulyanova E V, Starikov G P, et al. Latent Methane in Fossil Coals [J]. Fuel, 2004, 83(10): 1407-1411.
[27] Alexeev A D, Vasylenko T A, Ulyanova E V. Phase States of Methane in Fossil Coals [J]. Solid State Communications, 2004, 130(10): 669-673.
[28] Joshi M. A Class of Stochastic Models for Porous Media [D]. Kansas: University of Kansas, 1974.
[29] Hazlett R D. Statistical Characterization and Stochastic Modeling of Pore Networks in Relation to Fluid Flow [J]. Mathematical Geology, 1997, 29(6): 801-822.
[30] Bakke S, Oren P E. 3D Pore-scale Modeling of Sand-stones and Flow Simulations in the Pore Networks [J]. SPE Journal, 1997(2): 136-149.
[31] Carl Sisk, Elizabeth Diaz, Joel Walls, et al. 3D Visualization and Classification of Pore Structure and Pore Filling in Gas Shales [C]∥SPE Annual Technical Conference and Exhibition, 2010.
[32] Willian P Diamond, Steven J Schatzel. Measuring the Gas Content of Coal: A Review [J]. International Journal of Coal Geology, 1998, 35: 311-331.
[33] 袁祖贵, 成晓宁, 孙娟. 地层元素测井(ECS): 一种全面评价储层的测井新技术 [J]. 原子能科学技术, 2004, 38(增刊): 208-213.
[34] Yao Yanbin, Liu Dameng, Che Yao, et al. Petrophysical Characterization of coals by Low-field Nuclear Magnetic Resonance(NMR)[J]. Fuel, 2010, 89: 1371-1380.
[35] Adrian Manescu, Stewart Bayford. Application of Nuclear Magnetic Resonance Measurements in the Evaluation of Two Coal Seam Gas Wells in the Pedirka Basin [C]∥SPWLA 51st Annual Logging Symposium, 2010.
[36] 唐晓明, 郑传汉. 定量测井声学 [M]. 赵晓敏,译. 北京: 石油工业出版社, 2004.

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(01):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(01):261.
[3]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(01):308.
[4]葛祥,何传亮,朱小红,等.川东北地区陆相地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(01):164.
[5]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(01):179.
[6]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(01):24.
[7]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(01):41.
[8]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(01):101.
[9]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.
[10]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(01):585.
[11]孙建孟.基于新“七性”关系的煤层气、页岩气测井评价[J].测井技术,2013,37(05):457.
 Logging GoalsSUN Jianmeng.Coalbed Methane and Shale Gas Evaluation Based on New Seven Related[J].WELL LOGGING TECHNOLOGY,2013,37(01):457.
[12]葛祥,何传亮,董震.基于动态吸附模型的煤岩吸附气含量 测井计算新方法[J].测井技术,2014,38(06):740.[doi:10.3969/j.issn.1004-1338.2014.06.019]
 GE Xiang,HE Chuanliang,DONG Zhen.New Method to Calculate Adsorbed Gas Content of Coalbed Based on the Dynamic Adsorption Model[J].WELL LOGGING TECHNOLOGY,2014,38(01):740.[doi:10.3969/j.issn.1004-1338.2014.06.019]
[13]仲米虹.澳大利亚博文盆地薄煤层含气量测井评价方法及应用[J].测井技术,2017,41(05):571.[doi:10.16489/j.issn.1004-1338.2017.05.003]
 ZHONG Mihong.Application of the Log Evaluation Method of Gas Content in Thin Coal Seam from Bowen Basin of Australia[J].WELL LOGGING TECHNOLOGY,2017,41(01):571.[doi:10.16489/j.issn.1004-1338.2017.05.003]
[14]万金彬,何羽飞,杨林,等.基于地质因素的煤层气储层压裂产能分类评价[J].测井技术,2019,43(02):155.[doi:10.16489/j.issn.1004-1338.2019.02.009]
 WAN Jinbin,HE Yufei,YANG Lin,et al.Classification and Evaluation of Post-fracturing Productivity of Coalbed Methane Reservoirs Based on Geological Factors[J].WELL LOGGING TECHNOLOGY,2019,43(01):155.[doi:10.16489/j.issn.1004-1338.2019.02.009]

备注/Memo

备注/Memo:
收稿日期: 2013-03-14
基金项目: 中国石油天然气集团股份公司重大科技专项(2010E-2202)
作者简介: 黄科,男,1986年生,硕士,从事测井解释与评价工作。
更新日期/Last Update: 2014-02-28