Integrated time-lapse seismic inversion for reservoir petrophysics and fluid-flow imaging
Integrated time-lapse seismic inversion for reservoir petrophysics and fluid-flow imaging
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DOI：
10.1190/1.2792872
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
Tiancong Hong;Mrinal K. Sen;P. Stoffa;H. Klie;Sunil G. Thomas;Adolfo A. Rodriguez;M. Wheeler
中科院分区：
文献类型：
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作者：
Tiancong Hong;Mrinal K. Sen;P. Stoffa;H. Klie;Sunil G. Thomas;Adolfo A. Rodriguez;M. Wheeler
地震历史拟合已用于减少不确定性并提高储层表征的准确性。在本文中，我们提出了一个联合反演方案定量储层岩石物理特征和内部流体流动成像，它集成了尽可能多的数据源，如时移地震数据，生产数据和传感器信息。我们证明，这种综合框架导致准确的地震历史匹配和储层参数估计，并纳入时移地震数据确实有助于加快收敛过程。此外，还获得了内部流体流动的成像。考虑到贝叶斯推理在数据集成和不确定性分析中的独特性，我们还提出了一种在贝叶斯框架下同时集成所有数据源的公式，并通过使用马尔可夫链蒙特卡罗（MCMC）方法随机构造后验概率分布（PPD）来解决问题。同时还引入了岩石流体物理模型的系数。这意味着系数是根据数据而不是实验室测量或经验关系随机确定的。基于MCMC样本，可以正确量化不确定度。
SUMMARY Seismic history matching has been used to reduce uncertainty and increase the accuracy in reservoir characterization. In this paper we propose a joint inversion scheme for quantitative reservoir petrophysics characterization and inside fluid flow imaging, which integrates as many data sources as available, such as timelapse seismic data, production data and sensor information. We demonstrate that this integrated framework leads to accurate seismic history matching and reservoir parameter estimation and that the incorporation of time-lapse seismic data does help speed up the convergence process. In addition, the imaging of the inside fluid flow is also obtained. Considering the unique feature of Bayesian inference in data integration and uncertainty analysis, we also propose a formulation to simultaneously integrate all data sources in a Bayesian framework and solve the problem by stochastically constructing the posterior probability distribution (PPD) using Markov Chain Monte Carlo (MCMC) methods. The coefficients of rock fluid physics models are also incorporated. This means that the coefficients are determined stochastically based on data rather from lab measurements or empirical relationships. Based on MCMC samples, uncertainty can be correctly quantified.