西南石油大学学报(自然科学版) ›› 2011, Vol. 33 ›› Issue (3): 115-120.

• 石油与天然气工程 • 上一篇    下一篇

低渗透储层产能预测的测井优化建模

刘晓虹1 林畅松 1 刘俊2 杨洪3 刘春慧 4
  

  1. 1. 中国地质大学(北京)能源学院,北京海淀100083;
    2. 北京世恒达科技有限公司,北京海淀100083;
    3. 中国石油集团钻井工程技术研究院钻井液研究所,北京海淀100083;
    4. 振华石油控股有限公司,北京西城100031
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-06-20 发布日期:2011-06-20

An Optimization Well Logging Interpretation Model of Production Forecast in Low-Permeability Sandstone Reservoir

LIU Xiao-hong 1 LIN Chang-song 1 LIU Jun 2 YANG Hong 3 LIU Chun-hui 4
  

  1. 1. School of Enerny Resourse, China University of Geosciences(Beijing), Haidian, Beijing 100083, China;
    2. Beijing S. H. D. Science and Technology Co. Ltd., Haidian, Beijing 100083, China;
    3. CNPC Drilling Research Institute, Haidian, Beijing 100083, China;
    4. ZhenHua Oil Company Ltd. Xicheng, Beijing 100031, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-06-20 Published:2011-06-20

摘要: 从影响低渗透砂岩储层的原因入手,依据岩芯和试油资料,充分考虑岩石粒度、分选性、孔喉半径大小、孔隙结构的复杂程度、碎屑物含量以及岩石的亲水特性等对产能的影响,将简单的砂泥岩储层模型细化为粉砂—细砂—中砂—泥岩模型,在储层精细解释的基础上,提出产油概率的概念,利用叠加的方法编制相应的软件对单井单层的油产能指示累计和水产能指示累计进行计算,最终计算出油水产能比及产油概率,建立油水两相流的产能预测模型、解释模版及解释标准。正确评价储层产能有助于落实油气勘探成果和科学地指导油气田合理开发,从而使测井技术真正成为地质家和油藏工程师的眼睛。

关键词:

低渗透, 产能预测, 测井, 优化, 模型

Abstract: Based on the data of core and testing oil, we analyze the causes of low-permeability sandstone reservoir with full consideration to the impact of the grain size, sorting, pore-throat radius, complex pore structure, content of debris and hydrophilic of rock on productivity. The simple sand-shale reservoir model has been subdivided into the silt-sand, fine-sand, sand-medium, sand-shale model. The concept of oil production probability is proposed on the basis of the elaborate reservoir interpretation. The oil-water two-phase fluids rate forecast model, interpretation template and criterion are eventually established according to calculating oil and water production on single well by using the corresponding software which is programmed on superposition method. Correct evaluation on reservoir capacity can help to scientifically guide the exploration and development of oil field. So the logging technology becomes the eye of the geologists and reservoir engineers.

Key words:

low-permeability, production forecast, well logging, optimization, model

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