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Sensitivity analysis of Gassmann's fluid substitution equations: Some implications in feasibility studies of time-lapse seismic reservoir monitoring

机译:Gassmann流体代换方程式的敏感性分析:时移地震储层监测可行性研究中的一些启示

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Here, we discuss the sensitivity of the seismic response to uncertainties in the physical parameters of the reservoir rock. For this purpose, a probabilistic sensitivity analysis of Gassmann's fluid substitution equations using a Monte Carlo approach was carried out. We represented uncertainties related to each parameter as probability density functions to evaluate the contribution of each parameter uncertainty to the variance of the seismic response (V-p), calculated by means of the Monte Carlo approach. We show that uncertainties related to grain density (rho(gr)), dry shear modulus ( G(d)) and dry bulk modulus (K-d) contribute more significantly on the variance of V-p if all parameters are uncorrelated. This outcome changes, when physical dependencies are represented as correlations in the Monte Carlo sampling of some of the parameters. In this sense, correlations distribute more evenly the contributions to uncertainty in Vp. On the other hand, we also evaluated scenarios of fluid substitution, in which fluid 1 is replaced by fluid 2, with the corresponding variations in seismic response. In this case, V-p2 is the P-wave velocity of rock saturated with a fluid 2. If V-p2 were forecasted from an initial set of parameters of the rock saturated with fluid 1 (V-p1, V-s1, etc.) the uncertainties related to V-p1, V-s1 and K-gr would contribute more significantly to the variance of V-p2. From these three initial parameters, the most important contributions come form V-p1 and V-s1. Concomitantly, we evaluated the contribution of possible variations in fluid phase density and bulk modulus and of a pore pressure perturbation (4MPa) for several scenarios of connate and injection fluids on the variance of V-p. We did this for several values of initial differential pressure. Results indicate that the contribution of the elastic piezosensitivity and possible changes in the fluid phase properties depend not only on the initial differential pressure, but also on the type of fluids involved in substitution process. We conclude that sensitivity information, limited in this case to Gassman's equations, can be used as a tool to improve feasibility studies in time-lapse seismic reservoir monitoring and as a priori qualitative knowledge. The latter can guide the inversion process or help to diminish the uncertainties due to poorly constrained inversion schemes. (c) 2005 Elsevier B.V. All rights reserved.
机译:在这里,我们讨论了地震响应对储层岩石物理参数不确定性的敏感性。为此,使用蒙特卡洛方法对加斯曼流体替代方程进行了概率敏感性分析。我们将与每个参数相关的不确定性表示为概率密度函数,以评估每个参数不确定性对地震响应方差(V-p)的贡献,这是通过蒙特卡洛方法计算得出的。我们显示,如果所有参数都不相关,则与晶粒密度(rho(gr)),干剪切模量(G(d))和干体积模量(K-d)有关的不确定性对V-p的方差的影响更大。当在某些参数的蒙特卡洛采样中将物理相关性表示为相关性时,此结果会更改。从这个意义上讲,相关性更平均地分配了对Vp不确定性的贡献。另一方面,我们还评估了流体替代的情况,其中流体1被流体2替代,地震响应相应变化。在这种情况下,V-p2是充满流体2的岩石的P波速度。如果根据充满流体1的岩石的初始参数集(V-p1,V-s1等)预测V-p2, 。)与V-p1,V-s1和K-gr相关的不确定性将更明显地影响V-p2的方差。从这三个初始参数中,最重要的贡献来自V-p1和V-s1。相应地,我们评估了在原生和注入流体的几种情况下,流体相密度和体积模量以及孔隙压力扰动(4MPa)可能变化对V-p的贡献。我们对初始压差的几个值进行了此操作。结果表明,弹性压敏性的贡献以及液相性质的可能变化不仅取决于初始压差,还取决于替代过程中涉及的流体类型。我们得出的结论是,在这种情况下,仅限于Gassman方程式的敏感性信息可以用作改进时移地震储层监测可行性研究的工具,以及作为先验的定性知识。后者可以指导反演过程,或者有助于减少由于反演方案约束较弱而带来的不确定性。 (c)2005 Elsevier B.V.保留所有权利。

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