| 高分辨率非线性三维整体反演研究(英文) |
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| 引用本文： | 李勇,王绪本,李志荣,李琼,李正文.高分辨率非线性三维整体反演研究(英文)[J].应用地球物理,2009,6(2):159-165. |
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| 作者姓名： | 李勇 王绪本 李志荣 李琼 李正文 |
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| 作者单位： | Li Yong,Wang Xuben,Li Qiong,Li Zhengwen(Key Lab of Earth Exploration & Information Technology,Chengdu University of Technology,Chengdu 610059,China);Li Zhirong(CNPC Chuanqing Drilling Engineering Company,Limited,Sichuan Geophysical Company,Chengdu 610213,China)
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| 基金项目： | supported by the Key Project of the National Natural Scientific Foundation(Grant No.40839909) |
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| 摘 要： | 高分辨率非线性三维整体反演方法是基于非线性理论,在层位控制下,将工区多井(或全部井)的测井数据与井旁地震道数据输入具有多输入多输出的网络,同时进行整体训练,可获得整个工区的自适应权函数,并建立综合非线性映射关系,并根据储层在纵横方向上的地质变化特征更新这种非线性映射关系,这样,就能对反演过程及其反演结果起到约束和控制的作用,从而获得稳定且分辨率高的地震反演剖面(速度反演剖面/波阻抗反演剖面/密度反演剖面),实现整体反演,该方法通过模型试算和实际资料处理,获得较好的地质效果,证明该方法精度高、实用性强,可用于储层的定量分析。
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| 关 键 词： | 三维非线性 综合反演 高分辨率 非线性映射关系 测试数据处理 非线性理论 波阻抗反演 反演方法 |
| 收稿时间： | 10 March 2004 |
High resolution 3D nonlinear integrated inversion |
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| Yong Li,Xuben Wang,Zhirong Li,Qiong Li,Zhengwen Li.High resolution 3D nonlinear integrated inversion[J].Applied Geophysics,2009,6(2):159-165. |
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| Authors: | Yong Li Xuben Wang Zhirong Li Qiong Li Zhengwen Li |
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| Institution: | (1) Key Lab of Earth Exploration & Information Technology, Chengdu University of Technology, Chengdu, 610059, China;(2) CNPC Chuanqing Drilling Engineering Company, Limited, Sichuan Geophysical Company, Chengdu, 610213, China |
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| Abstract: | The high resolution 3D nonlinear integrated inversion method is based on nonlinear theory. Under layer control, the log data from several wells (or all wells) in the study area and seismic trace data adjacent to the wells are input to a network with multiple inputs and outputs and are integratedly trained to obtain an adaptive weight function of the entire study area. Integrated nonlinear mapping relationships are built and updated by the lateral and vertical geologic variations of the reservoirs. Therefore, the inversion process and its inversion results can be constrained and controlled and a stable seismic inversion section with high resolution with velocity inversion, impedance inversion, and density inversion sections, can be gained. Good geologic effects have been obtained in model computation tests and real data processing, which verified that this method has high precision, good practicality, and can be used for quantitative reservoir analysis. |
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| Keywords: | high resolution integrated inversion network with multiple input and output hybrid intelligent learning algorithm |
| 本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录！ |
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