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东部某油田东营组三段砂砾岩储层岩性反演研究

Lithology Inversion of Glutenite Reservoir in the Third Member of Dongying Formation in An Eastern Oilfield
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摘要 东部某油田东营组三段为扇三角洲巨厚砂砾岩沉积,储层非均质性强,加之该海上油田处于开发初期,钻井数量少,取心资料贫乏,油田开发困难,为节约勘探成本,降低勘探风险,提高采收效率,急需对研究区储层的展布进行细致分析。因而本次研究首先进行了波阻抗反演,将其视为地震属性之一,采用神经网络技术寻找地震多属性与岩性属性曲线之间的非线性关系进行岩性反演。研究表明:研究区以细砂岩沉积为主,储层纵向沉积厚度大,横向连续性好,分布广泛,泥岩隔夹层分布少,渗流屏障程度低。 An oilfield in the East China in the third member of Dongying Formation belongs to fan delta facies with huge thick glutenite deposition and it has strong reservoir heterogeneity. In addition, this oilfield is situated on the sea and it is in the early stage of development, with a small number of drilling and poor coring data, which has maked great difficulties for oil field exploration and development. In order to save exploration cost, reduce exploration risk and improve oil recovery efficiency, it is urgent to analyze the distribution of reservoirs in the study area. In this study, wave impedance is carried out firstly, which is regarded as one of the seismic attributes.And then neural network technology is used to find the nonlinear relationship between seismic multi-attribute and lithology attribute curve for lithology inversion. The research shows that the study area is dominated by fine sandstone deposition, with large vertical sedimentary thickness, good horizontal continuity and wide distribution.In addition, mudstone interlayer in this area is less developed, so that the development degree of seepage barrier is low.
作者 李大忠 黄健全 LI Dazhong;HUANG Jianquan(Southwest PetroleumUniversity,Chengdu 610500,China)
机构地区 西南石油大学
出处 《四川有色金属》 2022年第3期17-19,58,共4页 Sichuan Nonferrous Metals
关键词 岩性反演 砂砾岩储层 波阻抗反演 概率神经网络技术 lithology inversion glutenite reservoir wave impedance inversion probabilistic neural network technology
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