摘要
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 analyring known log data of three wells in W1 wellblock, according to the important featuresthat the intervl velority of O1m55 dolomite for the W1 well is 500m/s^600m/s lower than that of O1m55limesthee for the W2 and W3 Wells and is 200m/s lower than that of aurrounding beds, we use waveform charcteristic classification and polarity conversion methods to macroscopically predict the spreadrange of O1m55 dolomite based on high-resolution seismic data. Then the range and thickness of O1m55dolomite are further predicted using trace integtion and low velocity anomaly of artificial synthetic acoustic logging. Finally, artificial neural network and fractal geometry are used for the comprehensivejudgement. The area and thickness of O1m55 dolomite delimited by the six methods coincide well withdrilling results. Thus a pattern is established, which can controll reserves using less wells for natural gasexploration.
出处
《石油物探》
EI
CSCD
北大核心
1997年第3期95-104,共10页
Geophysical Prospecting For Petroleum
关键词
白云岩
地质特征
声波测井
奥陶系
天然气勘探
O_1m_5~5 Dolomite, Geologic Feature, Geophysical Feature, Spread, Prediction