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OALib Journal期刊
ISSN: 2333-9721
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地震数据约束下的贝叶斯随机反演
Keywords: 贝叶斯理论,马尔科夫链,扰动模拟,随机反演
Abstract:
？由于地震数据的带限性质，传统确定性反演方法不可避免地存在分辨率低的缺陷。本文从贝叶斯理论出发，结合地质统计学提出了地震数据约束下的随机反演方法。该方法以测井资料作为条件数据，以地震数据作为约束，进而通过贝叶斯理论将地震资料、测井资料和地质统计学信息融合为地层模型参数的后验概率分布，利用马尔科夫链扰动模拟方法实现对后验概率的分布采样，并通过多个采样结果的综合分析研究后验概率分布的性质，进而精细刻画储层分布。模型测试及实际资料处理结果表明，相对于常规确定性地震反演方法，随机反演方法提高了反演精度，实现了储层的精细描述。
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