南中国海深水区典型火山发育地震反射特征研究

海洋油气勘探尤其是深水勘探面临着三高难题——高成本、高风险、高技术.如何对储层进行准确预测,是地球物理工作者及地球物理技术亟待解决的问题.本文对火山机构喷发机理及其地球物理特征进行分析,结合邻近工区在火山发育特征规律的认识成果,针对南中国海深水区目标区内典型火山发育,运用常规地震时间切片、剖面分析及沿层均方根振幅属性和沿层小时窗三维地震镂空显示等技术,分析了目标火山发育情况、火山岩喷溢情况、地震反射特征及岩相分布,并建立了该类型火山发育特征、岩相分布规律以及空间展布规律及变化特征的认识.本文的研究成果为该地区准确识别火山发育及预测其分布规律提供了参考,尤其是在钻井少的情况下进行地质异体常识别和储层预测,有利于该地区石油天然气勘探工作以及区域地质认识.

Typical volcanic seismic reflection characteristics at a district of deep water area in South China Sea

Offshore oil and gas exploration,especially deep-water exploration is the biggest problem facing the high cost,high-risk,high-tech requirements.Geophysical workers and,geophysical technology has been put forward higher requirements on how to accurately predict the reservoir area.In this paper the mechanism of volcanic eruptions and their geophysical characteristics of institutions were analyzed.Meanwhile,the law and achievements of volcanic features of the development have been fully utilized at the adjacent work area.South China Sea deep water is a typical volcanic development of target areas.The article analyzes the seismic reflection characteristics by a variety of ways.The main technologies applied to: conventional seismic time slice,profile analysis;RMS amplitude properties along the layer,along the layer of small-time windows hollow three-dimensional seismic display technology,and so on.This paper analyzes the development situation of the target volcanoes,volcanic eruption conditions,seismic reflection characteristics and facies distribution and so on.The volcanic development characteristics,facies distribution and spatial distribution of igneous rocks and variation rules are established.Their growth characteristics and seismic response of law,has a strong development of seismic reflection characteristics of a typical volcano.Through the above work in the region to accurately identify and predict the distribution of volcanic development of the law to provide a reference,especially in the case of drilling a small geological anomaly identification and reservoir prediction.This will help the region’s oil and gas exploration and regional geological knowledge.