【Key words】 Anpeng Oilfield； ultra-lowpermeability reservoirs； fracture identification； fracture distribution； effective fracturing cut-off values；
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Based on artificial neural network theory, using routine logging data in fracture identification is studied.
本文基于人工神经网络理论，开展了常规测井资料识别评价裂缝的研究。
Studied are fracture identification and parameters extraction from micro resistivity images as well as seismic high resolution inversion of fracture parameters.
开展了微电阻率扫描成像的裂缝识别、参数提取以及裂缝参数的地震高分辨率反演研究。
Some study methods are proposed for improving fracture identification and evaluation reliability, the reservoir parameter evaluation, and reservoir spatial distribution.
在提高裂缝识别与评价精度、储层参数评价方法研究、储层空间展布研究等三个方面提出了今后的工作设想。
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