静态不确定性下的地震反演积分

F. Piriac, P. Biver, S. Halfaoui
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引用次数: 1

摘要

资源估算一直是油气行业面临的主要挑战。用于此估计的不确定性分为结构不确定性、静态不确定性和动态不确定性,每个组成部分都可能对最终的资源估计产生重大影响。本文针对地震反演中的静态不确定性分量,提出了一种从确定性反演结果中导出随机多实现的工作流程。为了验证该方法,首先将所描述的方法与在真实数据集(澳大利亚深海浊积岩)上进行的弹性特性随机地震反演进行了比较。在此基础上,提出了岩震属性的概化工作流程,以约束地质模型的充填。结果表明,确定性反演结果可以集成到全局不确定性工作流中,从而有助于确定储罐原始原地油体积(stoip)的范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating Seismic Inversion in Static Uncertainties
Summary Resources estimation has always been the main challenge for the oil and gas industry. The uncertainties accounting for this estimation are split into Structural, Static and Dynamic uncertainties and each component can have a major impact on the final resources estimation. This paper is dealing with the static uncertainties component coming from seismic inversion and proposes a workflow to derive stochastic multi-realizations from deterministic inversion results through geostatistical simulations. In order to validate the approach, the described methodology is first compared to a stochastic seismic inversion of elastic properties performed on a real data set (turbiditic deep offshore, Australia). Then a generalization of the workflow is proposed for litho-seismic attribute in order to constrain the geomodel in-filling. The obtained results show that deterministic inversion results could be integrated in a global uncertainty workflow and thus contribute to the range of the stock-tank original oil in place volume (STOOIP).
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