Assessment of hazard and risk due to induced seismicity for underground CO2 storage and oil and gas production assets.

评估地下二氧化碳储存和石油和天然气生产资产的诱发地震活动造成的危害和风险。

• 批准号: 2440306
• 金额: --
• 依托单位: Lancaster University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2440306
• 关键词: Assessment; hazard; risk; due; induced

Production of oil and gas can cause seismic activity. Problematic levels of seismic activity are rare and occur only in a small minority of oil and gas fields. However, the potential impact of high levels of seismic activity justifies careful monitoring and modelling of hazards and risks. Such induced earthquakes also arise from a new strategy used to combat climate change, specifically where CO2 is captured and stored in underground reservoirs. Accurate forecasting of hazards under scenarios for future extraction/injection is vital in ensuring the process is operated safely. Statistical methodology plays an important role in the design of monitoring strategies and in the assessment of these hazards and risks.This project aims to improve upon current statistical models of marked point pattern data to inform the assessment of seismic hazards. Improvements to the geophone network at the site over time have allowed smaller magnitude earthquakes to be detected. This leads to the problem of missing data from the years where the geophone network was not dense enough to detect all small magnitude seismic events. This project will explore a spatio-temporal threshold selection method using an extreme value analysis to address this issue. In partnership with Shell.

石油和天然气的生产会引起地震活动。有问题的地震活动水平是罕见的，只发生在少数油气田。然而，高水平地震活动的潜在影响证明了对灾害和风险进行仔细监测和建模是合理的。这种诱发地震也源于一种对抗气候变化的新策略，特别是将二氧化碳捕获并储存在地下水库中。准确预测未来提取/注入过程中可能出现的危险，对于确保过程安全运行至关重要。统计方法在制定监测战略和评估这些危害和风险方面起着重要作用。本项目旨在改进现有的标记点模式数据统计模型，为地震灾害评估提供信息。随着时间的推移，该地区检波器网络的改进使人们能够探测到较小的地震。这就导致了地震检波器网络不够密集，无法探测到所有小震级地震的年份数据丢失的问题。本项目将探索一种使用极值分析的时空阈值选择方法来解决这一问题。与壳牌公司合作。