【摘要】 常规测井解释以砂层组或单砂层为解释单元,忽视砂层内部不同流动单元渗流特征的差异,因此储集层解释模型可靠性不高。尤其当油田进入高含水期,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。提出利用流动单元、自适应神经模糊推理系统(Adaptive Neuro Fuzzy Inference System ,ANFIS)和多元统计分析理论建立高含水油田渗透率模型,并应用于丘陵油田高含水储层评价中,取得了良好的效果。更多还原

【Abstract】 Conventional logging estimation often takes g roups of sand formation or single sand formation as interpretation unit, but ign ores difference of seepage of different flow units. So estimation model is falli ble. Especially when reservoir saturation of water is high, conventional means o f predicting permeability is difficult to give accuracy. Hydaulic flow unit, Ada ptive NeuroFuzzy Inference System(ANFIS) and multistatistic analysis are use d to build permeability model for high watercut reservoir, which obtains effecti ve result in Quling oilfield.更多还原