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Managing well leakage risks at a geologic carbon storage site with many wells

机译:在具有许多井的地质碳储存网站管理良好的泄漏风险

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Potential geologic carbon storage (GCS) sites with a history of oil and gas production have well-characterized injectivity and storage capacity, but the presence of legacy wells increases leakage risk. Thus, the success of GCS operations at sites with many wells will require a thorough leakage risk assessment and a robust strategy for managing well leakage risk over the lifetime of the project. In this study, we demonstrate a workflow that uses the National Risk Assessment Partnership's open-source Integrated Assessment Model to quantify well leakage risks and test the performance of various leakage risk management strategies at a heavily drilled GCS site. Our model simulates a 50-year basin-scale injection of CO2 at a hypothetical site based on the Kimberlina Project Site in the Southern San Joaquin Valley of California. Brine and CO2 leakage through 1000 legacy wells into a USDW are stochastically simulated as a proxy for risk. We consider multiple scenarios that explore the efficacy of various well leakage risk management strategies with changes in well leakage behavior, reservoir behavior, and post-injection site care (PISC) length. Predicted leakage at the site after 100 years was small with a maximum CO2 leakage of 102.1 tonnes (4.08 x 10(-5)% of the 250 Mt injected) and a maximum brine leakage of 2.4 tonnes. Leakage risk management strategies based on accurate prior information about well leak probability reduced leakage risks more effectively at the modeled site and were more robust with respect to reservoir uncertainty than strategies based on the distance of the legacy well from the injector. The importance of the PISC period length was not clear as it had a negligible impact on CO2 leakage risk but a sizable impact on brine leakage risk in our model.
机译:具有石油和天然气生产历史的潜在地质碳储存(GCS)地点具有良好的注射性和储存能力,但遗留井的存在提高了泄漏风险。因此,GCS运营在具有许多井的地点的成功将需要彻底的泄漏风险评估,并为管理寿命的漏洞风险提供良好的策略。在这项研究中,我们展示了一种使用国家风险评估伙伴关系的开放源综合评估模型的工作流程,以量化泄漏风险,并在熟练的GCS网站上测试各种泄漏风险管理策略的性能。我们的模型在加利福尼亚州南部Jaaquin山谷的Kimberlina项目现场模拟了一个50年的盆地测量CO2。盐水和二氧化碳泄漏通过1000次遗留井进入USDW,随机模拟作为风险的代理。我们考虑多种情​​况,探讨各种漏漏风险管理策略与井泄漏行为,水库行为和后注射后现场护理(PISC)长度的变化的效果。在100年后,现场的预测泄漏较小,最大二氧化碳泄漏为102.1吨(4.08×10( - 5)%的250 mt注入),最大盐水泄漏为2.4吨。泄漏风险管理策略基于关于井泄漏概率的准确先前信息,在建模地点更有效地降低了泄漏风险,并且对于基于遗留的距离从喷射器的距离的距离更加坚固。 PISC期间长度的重要性尚不清楚,因为它对二氧化碳泄漏风险的影响忽略不计,而且对我们模型中的盐水泄漏风险的相当大。

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