【摘要】 准噶尔盆地乌夏断裂带深层二叠系储集层埋藏深、断裂发育、地震反射较杂乱、构造复杂,给深层储集层预测增加了难度。钻井资料显示,二叠系火山岩储集层比较发育,是油气聚集的有利区带。根据研究区火山岩的地质和地球物理特点,在层位精细标定和解释的基础上,沿层提取多种地震属性,并对优选出的平均绝对振幅、弧线长度和能量半衰时梯度三种属性,采用Kohonen神经网络方法实现综合分类,利用分类结果对二叠系风城组的火山岩储集层进行横向预测,综合考虑钻井、地质和地球物理的研究成果确定了钻探井位,取得了良好的应用效果。更多还原

【Abstract】 The deep reservoir (Permian) of Wu-Xia fault belt in Junggar basin is characterized by the deep buried, developed faults, random seismic reflection and complex structures, etc. These make the prediction of the deep reservoir more difficult. The drilling data show that the developed volcanic reservoirs of Permian serve as the favorable zone for hydrocarbon accumulation. This paper presents the geologic and geophysical features of the volcanic rocks in Wu-Xia fault belt and their fine horizon calibration and interpretation, based on which several seismic attributes are picked up along the horizons, of which three attributes are selected such as average absolute amplitude, arc length and energy gradient at half (life) period. And the comprehensive classification given by means of Kohonen neural network is put forward, by which the lateral prediction of the volcanic reservoirs in Fengcheng formation of Permian is conducted and the next drilling well sites are determined, considering previous drilling, geologic and geophysical research results. The study shows that the seismic attributes are of good effects on the deep volcanic reservoir predictions.更多还原