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新型高含水储层渗透率模型应用研究

Application of A New High water Cut Reservoir Permeability Model
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摘要 油田进入高含水期 ,储层参数发生了变化。用传统的解释方法计算渗透率很难达到理想的精度。笔者提出利用流动单元、自适应神经模糊推理系统 (ANFIS)和多元统计分析理论建立高含水油田渗透率模型。应用于丘陵油田高含水储层评价中 。 After an oilfield enters into a high water cut stage, changes are taken place in reservoir parameters. It is very hard to achieve an ideal calculating precision with traditional interpreting method of flowing unit, adaptive neural-fuzzy inference system (ANFIS) are used to establish a permeability model for high water cut oilfields, which is used for evaluating high water out reservoirs in Qiuling Oilfield with good effect.
出处 《石油天然气学报》 CAS CSCD 北大核心 2004年第S1期66-67,179,共3页 Journal of Oil and Gas Technology
关键词 流动单元 自适应神经模糊推理系统 多元统计分析 渗透率 高含水 flowing unit ANFIS multiple element statistical analysis permeability high water cut
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参考文献2

  • 1Jian F X,Chork C Y,Taggart I J,et al.A genetic approach to the prediction of petrophysical properties[].Journal of Petrology.1994
  • 2MaghsoodAbbaszadeh,HikariFujii,FujioFujimoto.Permeabilitypredictionbyhydraulicflowunitstheoryandplacation[].SPEFormationEvalua tion.1966

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