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本文在分析了W1井区已知三口井的测井资料后，根据W1并奥陶系马五5（O1m55）白云岩层速度比W2、W3并马五5（O1m55）灰岩层速度低500m／s～600m／s，比上下围岩层速度低200m/s左右这一重要特征，充分利用高分辨率地震资料，首先采用波形特征分类、极性转换方法，宏观地预测出马五5（O1m55）白云岩的展布范围；然后经过道积分、人工合成声波测井的低速异常对其范围和厚度进一步预测；最后用人工神经网络、分形几何进行综合判识。通过六种方法圈定的马五5（O1m55）白云岩面积和厚度，与钻探结果吻合较好，为天然气勘探实现少并整体控制储量确立了模式。
After analyzing the well logging data of three wells in the well block of Well W1, according to the velocity of the dolomite of W1 and Ordovician M5.5 (O1m55) is lower than that of the W2 and W3 and M155 (O1m55) limestone layers by 500 m / s ~ 600m / s, which is about 200m / s lower than the upper and lower rock strata. Taking full advantage of the high resolution seismic data, firstly, using the waveform feature classification and polarity conversion method, Then the range and thickness of the rocks are further predicted by using low-velocity anomalies of channel integration and synthetic sonic logging. Finally, artificial neural networks and fractal geometry are used to make a comprehensive identification. The area and thickness of the dolomite Ma5 5 (O1m55) delineated by six methods are in good agreement with the drilling results, establishing a model for achieving less natural gas exploration and controlling overall reserves.