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Borehole seismoelectric logging using a shear-wave source: Possible application to CO2 disposal?

机译:使用剪切波源的钻孔地震电测井:可能在CO2处理中应用吗?

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The behaviour of CO2 deposition sites and their surroundings during and after carbon dioxide injection has been matter of study for several years, and several geophysical prospection techniques like surface and crosshole seismics, geoelectrics, controlled source electromagnetics among others, have been applied to characterize the behaviour of the gas in the reservoirs. Until now, Seismolectromagnetic wave conversions occurring in poroelastic media via electrokinetic coupling have not been tested for this purpose. In this work, by means of numerical experiments using Pride's equations extended to deal with partial saturations we show that the seismoelectric and seismomagnetic interface responses (IR) generated at boundaries of a layer containing carbon dioxide are sensitive to its CO2 content. Further, modeling shear wave sources in surface to borehole seismoelectric layouts and employing two different models for the saturation dependence of the electrokinetic coefficient, we observe that the IR are sensitive to CO2 saturations ranging between 10% and 90%, and that the CO2 saturation at which the IR maxima are reached depends on the aforementioned models. Moreover, the IR are still sensitive to different CO2 saturations for a sealed CO2 reservoir covered by a clay layer. These results, which should be complemented by the analysis of the IR absolute amplitude, could lead, once confirmed on the field, to a new monitoring tool complementing existing ones. (C) 2014 Elsevier Ltd. All rights reserved.
机译:二氧化碳注入期间和注入之后二氧化碳沉积点及其周围环境的行为已经研究了数年,并且已经应用​​了多种地球物理勘探技术,例如地表和井间地震,地电学,受控源电磁学等来表征这种行为。储层中的天然气。迄今为止,还没有为此目的测试过在多孔弹性介质中通过电动耦合发生的地震电磁波转换。在这项工作中,通过使用扩展为处理部分饱和的Pride方程进行的数值实验,我们表明,在包含二氧化碳的层的边界处生成的地震电和地震磁界面响应(IR)对其CO2含量敏感。此外,在地表至井筒地震电布局中对剪切波源进行建模,并针对电动力系数的饱和度依赖关系采用两种不同的模型,我们观察到IR对10%至90%之间的CO2饱和度敏感,并且在达到最大IR取决于上述模型。此外,对于由粘土层覆盖的封闭式CO2储层,IR对不同的CO2饱和度仍然敏感。这些结果应通过对IR绝对幅度的分析加以补充,一旦在现场得到证实,就可能导致一种新的监测工具,对现有监测工具进行补充。 (C)2014 Elsevier Ltd.保留所有权利。

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