摘要
基于高频能量衰减梯度理论的传统叠后油气检测方法,未同时利用地震波通过油气层后的高频衰减和低频增强两种特性,且其结果为界面信息,可解释性较差,分辨率有所降低。为了更好地突出叠后地震资料中储层的含油气性,建立一种岩性约束下振幅衰减梯度分频属性的油气检测方法。基于地震波通过油气层后的衰减特性,首先应用振幅衰减梯度技术和分频处理技术,突出油气层的高频衰减和低频增强地震响应特征;然后应用90°相移技术将界面信息转化为岩层信息,提高剖面的可解释性;最后引入岩性约束,恢复地震分辨率和提高油气检测精度。试算结果表明,该方法可在不损失地震分辨率的前提下有效突出储层的含油气性。在实际资料应用中,与钻井数据吻合良好,平面属性表征的油水界面与钻井压力外推结果基本一致,地层的含油气性检测和识别具有较明显的成效。
Traditional post-stack hydrocarbon detection based on high-frequency energy attenuation gradient failed to make full use of either high-frequency attenuation or low-frequency resonance. Meanwhile its result is interface information with weaker interpretation and lower seismic resolution. In order to highlight hydrocarbon response better in post-stack seismic data,a new hydrocarbon detection method of amplitude attenuation gradient frequency-division attribute under the constraint of lithology was established. Based on the attenuation characteristics of seismic waves after passing through the reservoir,amplitude attenuation gradient technique and frequency division technique were aimed at enhancing the feature of high-frequency attenuation and low-frequency resonance of oil and gas in reservoir respectively. And 90° phase rotation technique in assist could transform the interface information into strata information for better interpretation. Lithological constraints were introduced at last to improve resolution and accuracy. Theoretical model results showed that oil and gas properties of the reservoir could be highlighted effectively without loss of seismic resolution. Practice results showed that this method was in good agreement with drilling,and oil-water interface predicted by seismic attribute was identical to the drilling pressure extrapolation. So this method has obvious effect in hydrocarbon detection.
出处
《东北石油大学学报》
CAS
北大核心
2017年第6期66-73,共8页
Journal of Northeast Petroleum University
基金
国家科技重大专项(2016ZX05024-003)
关键词
振幅衰减梯度
分频处理
90°相移
油气检测
叠后地震资料
amplitude attenuation gradient
frequency-division processing
90° phase rotation
hydrocarbon detection
post-stack seismic data
