【摘要】 在调研了国内外气烟囱研究成果与思路的基础上,通过全新的地震解决方案——OpendTect平台提供的基于属性多层感知器(MLP)的人工神经网络(ANN)的方法预测气烟囱的发生概率体,并利用倾角导向体对算法进行改进,提出倾角控制下的地震气烟囱识别技术,很好地补充并发展了模式识别技术在地震勘探领域的应用。通常该技术一方面可以解释运移通道和浅层气成藏的原因;另一方面,形成的气烟囱地震数据体还可以预测源岩的发育情况;此外,对于判别断层封闭性也非常适用。最后应用这一技术对海拉尔盆地贝尔凹陷一含油区块的运移通道和成藏规律进行研究,分析该研究区的断裂发育特征和运移通道类型,总结了油源、通道、储层和盖层的空间配置关系,并建立相应的成藏模式。更多还原

【Abstract】 The gas chimney is a special associated structure formed by the hot fluid flow in the sedimentary basin.As a specific channel for oil and gas migration,the gas chimney is a direct evidence for the existence of shallow reservoirs,and it can also influence hydrocarbon accumulation.These days,many scholars have paid attention to gas chimneys.Based on the research results and thoughts about gas chimneys home and abroad,through the artificial neural network(ANN) which is based on multi-layer perceptron and provided by the brand new seismic solution,i.e.OpendTect,this paper predicts the probability of occurrence for gas chimney,improves the algorithm by using dip steering,presents and applies seismic chimney detection technology based on dip steering.The application of pattern recognition technology in seismic exploration field has been well supplemented and developed.Generally,the 3D seismic chimney detection technology can not only interpret the migration pathway and reason of shallow gas accumulation,but also forecast the development of source rocks.In addition,it is also applicable for distinguishing fault sealing.At last,this process was applied to research the migration pathway and accumulation rules of an oil-bearing block in Buir Sag of Hailar Basin,and the fracture characteristics and types of migration pathways were put forward,then the special configuration relations of oil source,pathway,reservoir and cap rock were summarized,and the corresponding accumulation mode was established.更多还原