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PP波和PS波联合反演研究进展
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张春涛,王尚旭
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    中国石油大学(北京)资源与信息学院物探重点实验室,北京 102249
通讯作者:
张春涛
Review of Joint Inversion of PP and PS Waves
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    出版时间: 2010-05-28
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    随多波多分量地震勘探的发展,PP波和PS波联合反演方法研究在近年取得了一定进展。PS波是S波的一种,无法在流体中传播,因此对岩石组构的内部构造更为敏感。联合使用PP波和PS波数据,可以提高从多波地震数据中推导弹性阻抗和岩石性质参数的能力,减少地震反演中的不确定性。本文综述近年PP波和PS波联合反演方法的发展。简述了PP波和PS波联合反演的基本理论,所有的联合反演方法都是基于PP波和PS波反射系数的Aki-Richards近似公式。其次,常用联合反演方法的算法及其反演结果参数。因为使用了相互独立的PP波和PS波数据,联合反演方法的算法比单独的PP波反演更为稳定。展望了PP波和PS波联合反演方法的发展趋势。
    联合反演  /  最小二乘法  /  奇异值分解  /  加权叠加
    The joint inversion of PP and PS waves are widely studied in recent years with the developments of multi-wave and multi-component seismic explorations. As a kind of S wave, PS wave can not propagate through fluids and therefore is more sensitive to the internal structure of rock fabrics. The combined use of PP and PS wave data might provide better means to identify elastic impedance and rock property parameters from multi-wave seismic data and thereby to reduce the uncertainty in the seismic inversion. The recent research developments in the joint inversion methods of PP and PS waves are reviewed in this paper. Firstly, a brief introduction of the basic theory of the joint inversion methods is given. All joint inversion methods are based on the Aki-Richards approximated linear expressions of PP and PS wave reflection coefficients. Secondly, the algorithms and the inverted results of elastic parameters of the joint inversion methods are discussed. Comparing to inversion methods using PP wave only, the algorithms of the joint inversion methods are more stable by combining the two independent PP and PS wave seismic data. At last, the further development of the joint inversion methods is commented
    joint inversion  /  lease square  /  singular value decomposition  /  weighted stacking
    张春涛;王尚旭. PP波和PS波联合反演研究进展. 科技导报, 2010 , 28 (10) : 106 -110 .
    . Review of Joint Inversion of PP and PS Waves[J]. Science & Technology Review, 2010 , 28 (10) : 106 -110 .

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    2种不同金属材料的力学参数

    Family
    属数
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    genus
    种数
    Number of
    species
    占总种数比例
    Percentage of
    total species (%)

    Genus
    种数
    Number of
    species
    占总种数比例
    Percentage of total
    species (%)
    鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
    小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
    多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
    红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
    小菇属 Mycena 11 5.26
    光柄菇属 Pluteus 5 2.39
    红菇属 Russula 17 8.13
    栓菌属 Trametes 5 2.39
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