三阶累积量属性在生物礁滩体识别中的应用

Application of Third-order Cumulant Attribute in Reef-beach Body Recognition

生物礁以良好的储集性能在碳酸盐岩油气勘探中占有重要地位,但由于造礁生物的发育程度不同、种类多样,使其具有很强的非均质性。当地震波穿过生物礁体时,因其强烈的非均质性和各向异性可能产生非高斯的、非对称分布的或非线性的信号,并记录到地震反射波中。基于三阶累积量对高斯随机信号是"盲"的特点,提出了用三阶累积量属性识别和预测生物礁储集层的新方法,其目的是通过三阶累积量检测出地震信号偏离高斯程度,对生物礁滩体的分布进行预测。以滨里海盆地A区块为例,对其进行了三阶累积量属性研究,预测结果与生物礁滩体的生长和沉积环境一致,证明该方法具有较强的可靠性。

For its better reservoir quality,reef played an important role in carbonate oil and gas exploration,but due to the reef-building organisms with different development degrees,and its species diversity,they had a strong heterogeneity.When seismic waves went through the reef-beach bodies,the non-Gaussian,asymmetric,non-linear signals may be produced and recorded in the seismic waves.Based on third-order cumulant being'blind'for the Gaussian random signal,it was proposed that the new method of third-order cumulant attribute was used to recognize and predict reef reservoirs by detecting the seismic deviation degree of Gaussian,and distribution of reef-beach body was predicted.By taking Block A in Caspian Basin as an example,its attribute of third-order cumulant is matched with the growth and sedimentary environment of reef.It is proven that the method is highly reliable.