并且，裂缝网络的存在对油田采收率也有很大的影响。

Meanwhile, the present of fracture networks also has certain influence on the ultimate recovery rate of these reservoirs.

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裂缝网络参数是潜山裂缝油藏开发和剩余油挖潜不可缺少的重要参数。

The fracture network parameters are of importance to the development and the remaining oil potential-tapping of buried hill fracture reservoir.

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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。

Based on artificial neural network theory, using routine logging data in fracture identification is studied.

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