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Improving thin-bed resolution: Application of a sparse-layer inversion on 3D seismic observations from the In Salah carbon dioxide storage project

机译:改善薄层分辨率:稀疏层反演在In Salah二氧化碳存储项目的3D地震观测中的应用

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摘要

The In Salah carbon dioxide storage project in Algeria has injected more than 3 million tons of carbon dioxide into a thin water-filled tight-sand formation. Interferometric synthetic aperture radar range change data revealed a double-lobe pattern of surface uplift, which has been interpreted as the existence of a subvertical fracture, or damage, zone. The reflection seismic data found a subtle linear push-down feature located along the depression between the two lobes thought to be due to the injection of carbon dioxide. Understanding of the C0_2 distribution within the injection interval and migration within the fracture zone requires a precise subsurface layer model from the injection interval to above the top of the fracture zone. To improve the resolution of the existing seismic model, we applied a sparse-layer seismic inversion, with basis pursuit decomposition on the 3D seismic data between 1.0 and 1.5 s. The inversion results, including reflection coefficients and band-limited impedance cubes, provided improved subsurface imaging for two key layers (seismic horizons) above the injection interval. These horizons could be used as part of a more detailed earth model to study the C0_2 storage at In Salah.
机译:阿尔及利亚的In Salah二氧化碳储存项目已将300万吨二氧化碳注入稀薄的水密砂地层中。干涉式合成孔径雷达测距变化数据揭示了表面隆起的双瓣模式,这被解释为存在垂直下裂缝或破坏区域。反射地震数据发现沿着两个波瓣之间的凹陷处有一个细微的线性下推特征,这被认为是由于二氧化碳的注入。要了解注入间隔内的C0_2分布以及裂缝区域内的运移,需要从注入间隔到裂缝区域顶部以上的精确地下层模型。为了提高现有地震模型的分辨率,我们应用了稀疏层地震反演,并对1.0至1.5 s之间的3D地震数据进行了基本追踪分解。包括反射系数和带限阻抗立方的反演结果为注入间隔以上的两个关键层(地震层)提供了改进的地下成像。这些层位可以用作更详细的地球模型的一部分,以研究In Salah的C0_2储量。

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