火山熔岩地震识别与预测方法研究及应用

火山熔岩是火山岩储层中重要的一类含油气储层,广泛分布于松辽盆地南部英台断陷营城组。该类储层厚度大、局部物性好、单井产量高,是重要的勘探领域。由于火山熔岩岩性复杂,地震反射特征多样,纵横向非均质性强,使得对其边界的确定及火山机构的划分十分困难。另外,储层埋藏深、地震资料品质低、道集入射角偏小及储层波阻抗叠置等原因,也给储层预测增加了难度。以英台断陷营城组火山熔岩为例,应用多种技术对其边界及内幕进行了识别,并明确了其空间展布。在此基础上,根据测井响应和气藏特征,采用基于曲线重构的叠前同时反演技术,提高了火山熔岩储层的反演精度及预测的可靠性,为此类复杂储层的识别及预测提供了新的思路和方法。

Seismic identification and prediction method of volcanic lava and its application

Volcanic lava is widely distributed in Yingcheng Formation of Yingtai fault depression in southern Songliao Basin. It is one of the most important hydrocarbon reservoirs of volcanic reservoirs. The reservoir is characterized by large thickness, excellent reservoir properties and high productivity, and has favorable prospect. Volcanic lava has complicated lithologies, variable seismic reflection characteristics and strong heterogeneity, so it is difficult to define the volcanic lava boundary and identify volcanic apparatus. Besides, deep reservoir burial, low quality of seismic data, low-angle of gathers and superposed wave impedance enhance the difficulty of the reservoir prediction. This paper applied several techniques to identify the boundary and inner of volcanic lava of Yingcheng Formation, and defined its distribution. According to the log response and gas reservoir characteristics, we used pre-stack simuhaneous inversion technology based on log reconstruction, which improves the inversion accuracy and reliability of prediction of volcanic lava reservoir. This method provides new thought and method for the identification and prediction of this kind of complicated reservoirs.