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Integrated inversion of seismic and mCSEM data for the estimation of petro-physical parameters

机译:地震和MCSEM数据的综合反演,以估算石油物理参数

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Petro-physical parameters, such as porosity and fluid (water, oil, and/or gas) saturation, which provide useful information for reservoir characterization, can be estimated by a rock physics model (RPM) using seismic velocity and electrical resistivity from geophysical surveys. In this study, we have developed an effective integrated inversion of seismic and marine controlled-source electromagnetic (mCSEM) data for the accurate estimation of petro-physical parameters. First, to improve the resolution of the resistivity images from mCSEM inversion, we introduce a seismic-constrained mCSEM inversion using a cross-gradient constraint between seismic velocity obtained by seismic full-waveform inversion (FWI) and resistivity. Next, to reliably estimate the petro-physical parameters from the seismic and mCSEM inversion results, we suggest an integrated estimation approach which applies the grid-search method to the RPM. In numerical experiments with SEAM phase I model containing a salt-dome and several oil reservoirs, we can reliably estimate porosity and fluid saturation of upper reservoirs.
机译:可以通过使用地球物理调查的地震速度和电阻率来估计岩石物理模型(RPM)来估算提供有用信息的孔隙率和流体(水,油和/或气体)饱和度。 。在这项研究中,我们开发了一种有效的地震和海洋控制源电磁(MCSEM)数据的综合反演,以准确估计石油物理参数。首先,为了改善来自MCSEM反转的电阻率图像的分辨率,我们使用通过地震全波形反转(FWI)和电阻率获得的地震速度之间的横梯度约束来引入地震约束的MCSEM反转。接下来,为了可靠地估计来自地震和MCSEM反转结果的石油物理参数,我们建议将网格搜索方法应用于RPM的集成估计方法。在含有盐圆顶和多个油藏的接缝I模型的数值实验中,我们可以可靠地估计上层储存器的孔隙率和流体饱和度。

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