辽河坳陷粗面岩地球物理响应特征及预测技术研究  

Geophysical Response Characteristics and Prediction Technology of the Trachyte in the Liaohe Depression

作　　者：卢浩 舒朝晖[2] 董文波[3] 

机构地区：[1]中国石化胜利油田分公司勘探开发研究院,山东东营257000 [2]华中科技大学能源与动力工程学院,湖北武汉430074 [3]中国石油辽河油田分公司勘探开发研究院,辽宁盘锦124010

出　　处：《地质与勘探》2018年第1期130-137,共8页Geology and Exploration

基　　金：国家自然科学基金"高煤级煤层气储层应力敏感性及控制机理"(编号:41172145);中国石油天然气股份有限公司科技专项"辽河油田原油千万吨持续稳产关键技术研究"(编号:2012E-3001)联合资助

摘　　要：辽河坳陷欧利坨子地区发育大规模、巨厚层状粗面岩,并赋存了大量油气资源。但由于粗面岩岩石物理性质特殊,分布规律性较差,目前尚未形成一套具有针对性的预测技术,制约着粗面岩油藏的进一步勘探和开发。为此,在对粗面岩进行岩石物理分析以及正演模拟的基础上,提出了综合应用地震技术预测粗面岩分布的方法。研究成果表明:(1)研究区粗面岩表现为低时差、高密度、高自然伽马的测井响应特征以及低频、强振幅的地震响应特征;(2)联合多参数岩性反演和纵波阻抗反演可以实现粗面岩分布的预测;(3)平均反射强度和平均波峰振幅对于粗面岩引起的反射异常较为敏感,有利于准确刻画粗面岩分布范围;(4)根据粗面岩分布区的低频特征,21Hz的振幅调谐体频率切片可以有效识别粗面岩体。The Oulituozi area in the Liaohe depression hosts abundant hydrocarbon resources in long-scale thick trachyte. Due to the particular geophysical properties and irregular distribution of this rock, there is not a set of targeted prediction technology, restricting the future exploration and development of trachyte reservoirs. To solve this problem, we propose a method by using seismic technologies to predict trachyte based on petrophysical analysis and forward modelling. Our work shows that ①the trachyte is characterized by low acoustic moveout, high density, high natural gamma, low frequency, and high amplitude in seismic response. ②Joint multi-parameter lithology inversion and impedance inversion can predict the distribution of trachyte. ③The average reflection strength and average peak amplitude can highlight the anomalies caused by the trachyte, permitting to accurately depict the distribution of trachyte. ④Trachyte distribution has the same low frequency domain feature, which can be identified by the frequency slices of tunning cube of 21Hz.

关 键 词：辽河坳陷 粗面岩 正演模拟 多参数岩性反演 波阻抗反演 地震属性分析 频谱分解 

分 类 号：P631.4[天文地球—地质矿产勘探] TE122[天文地球—地质学]