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        3. [1]侯振學.電成像測井在煤層氣儲層精細評價中的應用[J].測井技術,2018,42(06):672-677.[doi:10.16489/j.issn.1004-1338.2018.06.012]
           HOU Zhenxue.Application of Electrical Imaging Logging in Fine Evaluation of CBM Reservoir[J].WELL LOGGING TECHNOLOGY,2018,42(06):672-677.[doi:10.16489/j.issn.1004-1338.2018.06.012]
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          電成像測井在煤層氣儲層精細評價中的應用()
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          《測井技術》[ISSN:1004-1338/CN:61-1223/TE]

          卷:
          第42卷
          期數:
          2018年06期
          頁碼:
          672-677
          欄目:
          非常規油氣評價
          出版日期:
          2018-12-31

          文章信息/Info

          Title:
          Application of Electrical Imaging Logging in Fine Evaluation of CBM Reservoir
          文章編號:
          1004-1338(2018)06-0672-06
          作者:
          侯振學
          中海油田服務股份有限公司油田技術事業部,河北廊坊065201
          Author(s):
          HOU Zhenxue
          Well Tech Department of China Oilfield Services Limited, Langfang, Hebei 065201, China
          關鍵詞:
          電成像測井煤層氣煤體結構割理煤矸石頂底板封隔性
          Keywords:
          electrical imaging logging coalbed gas coal structure cleat gangue roof and floor septum
          分類號:
          P631.84
          DOI:
          10.16489/j.issn.1004-1338.2018.06.012
          文獻標志碼:
          A
          摘要:
          為了對影響煤層氣產能的煤層厚度、滲透性、煤體結構、煤層頂底板封隔性、地應力方向等特征進行精細評價,以煤層高分辨率電成像測井資料為依據,結合巖心資料,研究裂縫、割理、煤矸石及導電礦物在電成像測井上的識別方法。建立不同類型的煤體結構電成像測井識別模式。對煤層直接頂、底板巖性及裂縫特征進行識別,從而對其封隔性進行評價。根據電成像測井顯示的誘導縫方向對地應力方向進行判斷。在煤層電成像測井精細描述及識別的基礎上,根據每項特征對煤層的影響,建立煤層分類評價標準并進行驗證。研究認為,電成像測井技術在煤層識別、定厚以及煤層精細描述方面具有獨特的優勢,為煤層的評價提供重要的依據。
          Abstract:
          In order to accurately evaluate the parameters such as thickness, permeability, coal structure, roof and floor septum, and geo-stress direction, which affect the production capacity of CBM, so as to guide the exploration and development of CBM. Based on high-resolution electrical imaging logging data and core data, this paper studies the identification methods of fractures, cleats, coal gangue and conductive minerals, and establishes different types of coal structure identification models. These models can identify the lithology and fracture characteristics of the roof and floor of the coal seam so as to evaluate its sealing ability. In addition, according to the direction of the induced fracture, the direction of the earth stress is also determined. At the same time, based on the detailed description and identification of coal seam by electrical imaging logs, as well as the influence of each feature on the coal seam, the coal seam classification evaluation standard was established and verified. The study believes that the electrical imaging logging technology has unique advantages in identification, determination of thickness and fine description of coal seams, and provides an important basis for the evaluation of coal seams.

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          相似文獻/References:

          [1]岳曉燕.利用測井資料計算煤層氣單井控制地質儲量[J].測井技術,1999,23(05):393.
          [2]柯式鎮,孫貴霞.井壁電成像測井資料定量評價裂縫的研究[J].測井技術,2002,26(02):101.
           Ke Shizheng,Sun Guixia.On Quantitative Evaluation of Fractures by STAR Imager Ⅱ.[J].WELL LOGGING TECHNOLOGY,2002,26(06):101.
          [3]李金柱,孫波.利用常規測井和電成像資料評價薄層砂巖[J].測井技術,2003,27(01):35.
           Li Jinzhu,Sun Bo..Evaluation of Thinly Laminated Sand Formations Using Conventional Logs and Resistivity imaging Data[J].WELL LOGGING TECHNOLOGY,2003,27(06):35.
          [4]王亞青,林承焰,邢煥清,等.電成像測井技術地質應用研究進展[J].測井技術,2008,32(02):138.
           WANG Ya-qing,LIN Cheng-yan,XING Huanqing.Advances in The Geologic Applications of Electrical Imaging Logging Technology[J].WELL LOGGING TECHNOLOGY,2008,32(06):138.
          [5]張松揚.煤層氣地球物理測井技術現狀及發展趨勢[J].測井技術,2009,33(01):9.
           ZHANG Song-yang.Actualities and Progresses of Coalbed Methane Geophysical Logging Technologies[J].WELL LOGGING TECHNOLOGY,2009,33(06):9.
          [6]張莉莉,蔡文淵.煤層氣成像測井資料綜合評價方法[J].測井技術,2009,33(06):571.
           ZHANG Li-li,CAI Wen-yuan.The Evaluation Method of Imaging Well Logging Data in Coalbed Methane Reservoir[J].WELL LOGGING TECHNOLOGY,2009,33(06):571.
          [7]張晉言,孫建孟,劉海河,等.鹽家油田深層砂礫巖儲層巖性自動識別新技術[J].測井技術,2011,35(05):447.
           ZHANG Jinyan,SUN Jianmeng,LIU Haihe,et al.A New Method of Lithology Automatic Identification for Deep Giutenite Body Reservoir in Yanjia Oilfield[J].WELL LOGGING TECHNOLOGY,2011,35(06):447.
          [8]陳鋼花,董維武.遺傳神經網絡在煤質測井評價中的應用[J].測井技術,2011,35(02):171.
           CHEN Ganghua,DONG Weiwu.Application of Genetic Neural Network to Coal Quality Evaluation Based on Log Data[J].WELL LOGGING TECHNOLOGY,2011,35(06):171.
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           ZHAO Yi(),MAO Zhiqiang(),SUN Wei(),et al.Evaluation Method for Unconventional Log Data of CBM Reservoir[J].WELL LOGGING TECHNOLOGY,2011,35(06):441.

          備注/Memo

          備注/Memo:
          第一作者:侯振學,男,1986年生,工程師,碩士研究生,從事非常規測井資料解釋工作。E-mail:[email protected]
          更新日期/Last Update: 2018-12-31
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