利用高分辨率三维地震数据监测二氧化碳泄漏——以Snøhvit、Vestnesa Ridge和西巴伦支海为例

B. Bellwald, M. Waage, S. Planke, N. Lebedeva-Ivanova, S. Polteau, A. Tasianas, S. Bünz, A. Plaza-Faverola, C. Berndt, H. Stokke, J. Millett, R. M. As
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引用次数: 5

摘要

地下储层注入CO2会引起覆盖层变形和CO2泄漏。本研究的目的是应用探测和监测注入储层上方CO2泄漏和变形的技术。本研究的实例包括Vestnesa Ridge天然渗漏点、Snohvit气田和二氧化碳储存点区域以及Gemini North气藏的数据。对现有的三维高分辨率地震数据进行再处理,可以分辨出垂直和横向分辨率分别低至1.1米和5.5米的特征。目前的采集系统可以在垂直和水平方向上进行修改,以成像一米以内的结构。我们建议一种监测工作流程,包括基线和高分辨率三维地震数据的延时采集,结合地球化学、地球物理和岩土海底岩心和水柱测量。这种工作流程的结果可以提供可靠的地下定量属性体积,并能够对覆盖层中一米大小的流体泄漏和变形异常进行成像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monitoring Of CO2 Leakage Using High-Resolution 3D Seismic Data – Examples From Snøhvit, Vestnesa Ridge And The Western Barents Sea
Injection of CO2 in subsurface reservoirs may cause overburden deformation and CO2 leakage. The aim of this study is to apply technologies for detection and monitoring of CO2 leakage and deformation above the injection reservoirs. The examples of this study include data from the Vestnesa Ridge natural seep site, the Snohvit gas field and CO2 storage site region, and the Gemini North gas reservoir. Reprocessing of existing 3D high-resolution seismic data allows resolving features with a vertical and lateral resolution down to c. 1 m and c. 5 m respectively. The current acquisition systems could be modified to image structures down to one meter in both the vertical and horizontal directions. We suggest a monitoring workflow that includes baseline and time-lapse acquisition of high-resolution 3D seismic data, integrated with geochemical, geophysical, and geotechnical seabed core and water-column measurements. The outcome of such a workflow can deliver reliable quantitative property volumes of the subsurface and will be able to image meter-sized anomalies of fluid leakage and deformation in the overburden.
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