摘要
以岩心、测试资料为依据 ,测井资料为基础 ,运用地层参数测井解释模型及地震反演技术 ,开展欧利坨子地区粗面岩储层特征研究 ;利用波形理论和人工神经网络方法对粗面岩储层平面含油气情况进行预测。结果认为 :本区粗面岩可分为粗面岩、粗面质火山岩等 5种类型 ;岩石具斑状结构 ,块状或气孔状构造 ;岩相分为爆发相和溢流相 2种类型 ;岩体上部和边部的物性好于下部和岩体中心 ;储集空间具原生和次生 2种类型 ;影响储集性能的主要因素有岩相、构造应力和风化淋滤作用等。本文所建立的储层参数解释模型可有效解释储层参数 ,应用生产实践后效果良好。
Based on coring, testing and logging data, logging interpretation model for formation parameters and seismic inversion are applied for the trachyte reservoir in Oulitouzi area. Also , oil and gas bearing conditions of same area are predicted with wave form concept and artificial nerve network. It is concluded that in this area can be divided into 5 types (such as trachybasalt etc.), 2 facies (explosion and overflow facies) with porphyritic, block and gas pore textures. Physical property of upper and edge rock body is better than that of the lower and central parts, while the accumulation space features primary and secondary types. Main factors affecting the accumulation nature include lithofacies, structural stress, weathering, leaching and so on. Formation parameter interpretation model established here can achieve effective and efficient results after site operation.
出处
《特种油气藏》
CAS
CSCD
2001年第2期1-3,18,共4页
Special Oil & Gas Reservoirs
基金
局级重点科技攻关项目
关键词
粗面岩储层
特征
测井解释模型
地震反演
波形理论
人工神经网络
平面预测
辽河油区
欧利坨子
trachyte reservoir, characteristics, study, logging interpretation model, seismic inversion,wave shape concept, artificial nerve network, planar prediction, Liaohe oil province, Oulitouzi area