Zhang Fei, Sun Peian, Zhang Le. Application of high resolution array induction logging in thin bed evaluation[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2012, 34(5): 510-513. doi: 10.11781/sysydz201205510
Citation: Zhang Fei, Sun Peian, Zhang Le. Application of high resolution array induction logging in thin bed evaluation[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2012, 34(5): 510-513. doi: 10.11781/sysydz201205510

Application of high resolution array induction logging in thin bed evaluation

doi: 10.11781/sysydz201205510
  • Received Date: 2012-05-17
  • Rev Recd Date: 2012-07-25
  • Publish Date: 2012-09-28
  • Severely influenced by surrounding rocks,it is difficult to obtain real logging response of thin bed by conventional logging curves.As the development of new logging techniques,high resolution array induction logging has been widely applied in field productions.It can precisely identify thin bed,define thickness,and distinguish oil/water layer.It takes obvious advantage of thin bed reserve evaluation,and has gained good application effects.

     

  • loading
  • [1]
    尹军强,温新房,陆风才,等.5700成像测井技术在江苏油气勘探中的应用[J].小型油气藏,2006,11(1):24-30.
    [2]
    王昌学,谢树棋,仵杰.阵列型感应成像测井信号的软聚焦[J].江汉石油学院学报,1999,21(4):91-92.
    [3]
    仵杰,程建华,陈睿.感应测井信号处理及应用研究[J].西安石油学院学报,2003,18(2):71-75.
    [4]
    杨荣起,申建辉,王化伟,等.高分辨率阵列感应测井仪在河南油田的应用[J].石油仪器,2006,20(5):56-60.
    [5]
    梁巧峰,邵维志,王志克.高分辨率阵列感应测井在储集层解释评价中的应用[J].测井技术,2003,27(3):228-232.
    [6]
    张园园,申辉林,吴健.测井新技术在薄层识别和评价中的应用[J].内江科技,2010 (4):67-68.
    [7]
    雍世和,张超谟.测井数据处理与综合解释[M].东营:石油大学出版社,1996:270-283.
    [8]
    周松源,蔡浩,芮昀.高分辨率阵列感应测井在断块油藏中的评价应用[J].内蒙古石油化工,2009(4):141-143.
    [9]
    朱恩起,刘砾华,王艳春.高分辨率阵列感应测井在油水层评价中的应用[J].石油和化工设备,2009(8):36-38.
    [10]
    洪有密.测井原理与综合解释[M].东营:石油大学出版社,1993:19-23.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (1678) PDF downloads(882) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return