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Applying a new synchronous inversion of seismograms using maximum likelihood method and stochastic refinements to study ultra-thin oil-saturated reservoirs

机译:利用最大似然法和随机精细化方法,应用新的同步地震图反演方法研究超薄油饱和油藏

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摘要

Seismic inversion makes use of single or multi-dimen- sional seismic trace data to derive elastic properties from seismic amplitude data. These elastic properties are subsequently used to make inferences about seismic lithology, lithologic properties, and the presence of fluids. Most implementations of seismic inversions operate on limited stacked subsets of the seismic data. Common inputs to inversion methods include angle stacks, offset stacks, or multiple stacks of time-lapsed data. The implementation in this paper makes use of a synchronous pre-stack inversion based on the maximum likelihood algorithm (Anat Canning and Alex Malkin, 2009). The PMLI inversion is applicable to time and depth angle or offset seismograms. It is a full pre-stack inversion, which inverts each and every trace of an offset or angle gather and returns elastic properties.
机译:地震反演利用一维或多维地震道数据从地震振幅数据中得出弹性特性。这些弹性属性随后用于推断地震岩性,岩性和流体的存在。地震反演的大多数实现都是在地震数据的有限堆叠子集上进行的。反演方法的常见输入包括角度堆栈,偏移堆栈或延时数据的多个堆栈。本文的实现利用了基于最大似然算法的同步叠前反演(Anat Canning和Alex Malkin,2009)。 PMLI反演适用于时间和深度角度或偏移地震图。这是一个完整的叠前反转,可以反转偏移量或角度聚集的每条迹线并返回弹性特性。

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