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利用正演模拟优选春光区块地震同相轴预测储层
引用本文:王鹏飞,肖学,杨春峰,黎腾,赵乾辰,刘媛媛. 利用正演模拟优选春光区块地震同相轴预测储层[J]. 石油地质与工程, 2016, 0(3): 73-76. DOI: 10.3969/j.issn.1673-8217.2016.03.019
作者姓名:王鹏飞  肖学  杨春峰  黎腾  赵乾辰  刘媛媛
作者单位:中国石化河南油田分公司物探研究院,河南南阳,473132
摘    要:以准噶尔盆地春光区块的具体地质条件为例,针对不同的岩性结构建立波阻抗模型进行正演模拟分析,优选出特定岩性结构条件下最能反映储层信息的地震同相轴,据此提取地震振幅属性,可有效预测储层的展布。研究结果表明,春光区块厚层泥岩夹薄层砂岩的地震响应表现为三个地震反射同相轴,可以追踪此三个地震同相轴并提取沿层的振幅地震属性,预测储层的展布。当储层位置临近强反射界面时,由于强反射界面会对邻近储层的地震响应特征形成较强干扰,可以考虑通过正演模拟研究,在远离强反射界面干涉范围的位置寻找储层的地震响应特征。厚层板砂顶部分异油藏的地震响应特征,以油藏顶面所在的强波谷同相轴为最明显的标志,且该强波谷段与两侧的波峰之间往往具有清晰的波形边界。

关 键 词:春光区块  正演模拟  地震同相轴  振幅属性  储层预测

Using forward modeling to optimize seismic event for reservoir prediction in Chunguang block
Abstract:By taking the specific geological conditions of Chunguang block as an example,aiming at different lithologic structure,wave impedance models have been set up for forward modeling analysis.By selecting the seismic event underaparticular lithology structure that can best reflect the reservoir information,the reservoir distribution can be effectively predicted.The results indicate that the seismic response of thick mudstone interbedded with thin layer sandstone shows three seismic events.By tracking the three seismic events and extracting the seismic attributes of the amplitude along the layers,the reservoir distribution can be predicted.When the reservoir location is close to strong reflection interfaces,as the strong reflection interfaces will have strong interference on the seismic response characteristics of adjacent reservoirs,through forward modeling research,the seismic response characteristics can be looked for in location far away from the interference range of the strong reflection interface.The seismic response characteristics at the top of the thick sand layer has the most obvious sign at the strong wave trough seismic event where is the reservoir top,besides that,there is the clear wave boundary between this strong wave trough and the wave peaks.
Keywords:Chunguang block  forward modeling  seismic event  amplitude attribute  reservoir prediction
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