Time-lapse velocity change estimation by anisotropic elastic full waveform inversion for CO2 sequestration at the Nagaoka CCS site

IF 4.6 3区 工程技术 Q2 ENERGY & FUELS
Rie Nakata , Nori Nakata , Aaron J. Girard , David Lumley , Masaru Ichikawa , Ayato Kato , Ziqiu Xue
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引用次数: 0

Abstract

Time-lapse elastic full waveform inversion is used to monitor the spatio-temporal evolution of the CO2 plume during and after supercritical CO2 injection based on a series of time-lapse (repeated) cross-well seismic monitoring datasets obtained at the Nagaoka Carbon Capture and Storage (CCS) site in Japan. The full waveform inversion method successfully estimates the time-lapse velocity decrease of up to 30% within a thin 12 m layer, which is consistent with the magnitude and thickness of the well-log measurements. After the second monitoring survey, the velocity decrease becomes stable and gradually extends down dip along pre-existing geological structures. The full waveform inversion results starkly contrast with the previous estimates based on traveltime tomography. The previous traveltime tomography applications only used the traveltime-delays and resulted in low resolution with few percentage change which was not adequate to correctly resolve CO2 injection changes. The datasets pose significant challenges due to background noise, tube waves, apparent non-isotropic source radiation patterns, apparent reservoir velocity anisotropy and missing key acquisition parameters such as the number of stacks per shot point. To overcome these obstacles, we meticulously perform careful data preprocessing integrating both the body waves and tube waves. We develop waveform-based source mechanism estimation to represent non-isotropic source excitation, and then conduct forward modeling studies to constrain the anisotropy model.

通过各向异性弹性全波形反演估算延时速度变化,用于在长冈二氧化碳封存场封存二氧化碳
根据在日本长冈碳捕集与封存(CCS)现场获得的一系列延时(重复)跨井地震监测数据集,采用延时弹性全波形反演法监测超临界二氧化碳注入过程中和注入后二氧化碳羽流的时空演变。全波形反演方法成功估算出 12 米薄层内的延时速度下降达 30%,这与井记录测量的幅度和厚度一致。在第二次监测勘测之后,速度下降趋于稳定,并沿着原有的地质结构逐渐向下延伸。全波形反演结果与之前基于行时层析成像的估算结果形成鲜明对比。以前的走时层析成像应用仅使用走时延迟,分辨率低,百分比变化小,不足以正确分辨二氧化碳注入的变化。由于背景噪声、管波、明显的非各向同性源辐射模式、明显的储层速度各向异性以及缺少关键采集参数(如每个射点的叠加数),数据集面临着巨大挑战。为了克服这些障碍,我们对体波和管波进行了细致的数据预处理。我们开发了基于波形的震源机制估计,以表示非各向异性的震源激发,然后进行前向建模研究,以约束各向异性模型。
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来源期刊
CiteScore
9.20
自引率
10.30%
发文量
199
审稿时长
4.8 months
期刊介绍: The International Journal of Greenhouse Gas Control is a peer reviewed journal focusing on scientific and engineering developments in greenhouse gas control through capture and storage at large stationary emitters in the power sector and in other major resource, manufacturing and production industries. The Journal covers all greenhouse gas emissions within the power and industrial sectors, and comprises both technical and non-technical related literature in one volume. Original research, review and comments papers are included.
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