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岩石物理分析在叠前储层预测中的应用
引用本文:姜,仁,曾庆才,黄家强,甘利灯,贺,佩.岩石物理分析在叠前储层预测中的应用[J].石油地球物理勘探,2014,49(2):322-328.
作者姓名:    曾庆才  黄家强  甘利灯    
作者单位:1. 中国石油勘探开发研究院, 北京 100083; 2. 中国石油勘探开发研究院廊坊分院, 河北廊坊 065007; 3. 中国石油物探重点实验室, 北京 102249
基金项目:国家科技重大专项(2011ZX05013-001)资助
摘    要:研究区位于苏里格气田的西北侧,目的层盒8段储层为典型的低孔、低渗气藏,物性变化大,非均质性强,纵波阻抗叠置,基于叠后数据的储层预测方法多解性强。因此需通过地震岩石物理分析并结合叠前地震反演,定性或半定量判断砂岩储层的含气性,为气田的勘探与开发提供布井依据。基于此,本文深入剖析岩石物理建模全过程,在测井资料井、震一致性处理基础上,通过标准井标定,选用Xu-White模型并利用迭代方法优化关键参数,准确地预测了横波速度并同时修正了密度曲线,为叠前储层描述提供了可靠的基础资料。同时利用岩石物理分析形成的解释量板对叠前反演结果进行解释,提高了气层的识别精度。

关 键 词:岩石物理模拟  横波速度预测  岩石物理量板  叠前反演  
收稿时间:2012-10-30

Application of rock physics analysis in pre-stack seismic reservoir prediction
Jiang Ren,Zeng Qingcai,Huang Jiaqiang,Gan Lideng,He Pei.Application of rock physics analysis in pre-stack seismic reservoir prediction[J].Oil Geophysical Prospecting,2014,49(2):322-328.
Authors:Jiang Ren  Zeng Qingcai  Huang Jiaqiang  Gan Lideng  He Pei
Affiliation:1. Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, China; 2. Langfang Branch, Research Institute of Petroleum Exploration and Development, PetroChina, Langfang, Hebei 065007, China; 3. Key Laboratory of Geophysical Prospecting, CNPC, Beijing 102249, China
Abstract:The project area is located in the north-west of the Sulige Gas Field. The He8 is a typical reservoir with low porosity, low permeability, high heterogeneity and P wave impedance superposition. So an accurate reservoir prediction cannot be done by methods on post-stack seismic data. Therefore a method for reservoir prediction on pre-stack seismic data is needed to predict gas reservoir with rock physics analysis and prestack seismic inversion, and to provide more information for future exploration. For this propose, this paper focuses on rock physics modeling, seismic processing with logging calibration, and iteration parameter optimization. Accurate S-wave velocity and density logs are calculated for reservoir characterization on prestack seismic data. Furthermore rock physics templates improve the accuracy of gas prediction on prestack seismic inversion.
Keywords:rock physics modeling  S-wave velocity prediction  rock physics template  pre-stack seismic inversion  
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