薄储层(体)含油气性识别的HFC技术及其应用研究

The harmonic frequencies characteristics(HFC) analysis for identifying and predicting hydrocarbon in thin reservoir strata(bodies)

以薄储层调谐特征、相位变化特征和高频振幅随频率变化特征为基础,论述了利用瞬时谐频特征(Har-monic Frequencies Characters,HFC)分析技术进行薄储层(体)含油气性识别的理论依据、技术思路和实施步骤。首先对已知样本井井旁道产层段进行频谱分析,总结因产层的含油气性差异而产生的反射波频谱差异;然后选用能够表征频谱差异的多种频率域敏感属性进行交会分析,得到油气分布特征(异常)值,用以识别和预测薄储层(体)的含油气性。应用HFC技术对薄砂岩储层和碳酸盐岩洞缝型储集体进行了油水识别,结果经验证井验证,符合率分别达到84.4%和81.0%。

On the basis of the tuning characteristics,phase variation characteristics,ratio of amplitude variation with frequency,we study Harmonic Frequencies Characteristics(HFC) analysis technique to carry out hydrocarbon identification and prediction of thin reservoirs(bodies).The difference of reflection frequency spectrum is caused by different hydrocarbon content of thin reservoirs(bodies).According to this point,we analyze the frequency spectrum of production intervals from known sample wells,and verify the difference of frequency spectrum.Then,some frequency-domain sensitive attributes which can be used to characterize the difference of frequency spectrum are carried out crossplot analysis.Finally,feature value(anomaly) of hydrocarbon distribution is obtained to identify the hydrocarbon content of thin reservoirs(bodies).The HFC technique is applied to identify oil and water on thin sand reservoirs and carbonate fracture-cave reservoirs,which is verified by drilling data,and the coincidence ratio separately reaches 84.4% and 81.0%.