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Risks and Impact Assessment for Deepwater and Ultra-Deepwater Gulf of Mexico Resources

机译:墨西哥湾深水和超深水资源的风险和影响评估

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Recent natural and anthropogenic events, such as Hurricanes Katrina and Rita and the Deepwater Horizonoil spill, have identified significant gaps in our ability to predict risks associated with offshore hydrocarbonproduction as well as our capabilities to respond to deleterious events of varying scope, magnitude,and duration. As offshore hydrocarbon development in the Gulf of Mexico continues to push into newterritory, there is a need to develop computational tools that enable the rapid prediction of outcomesassociated with unexpected hydrocarbon release events from deepwater and ultra-deepwater systems inthe Gulf of Mexico. To date, no comprehensive system-wide tool exists that can simulate the complexitiesof engineered-natural systems and provide the baseline data that is required to drive the simulations.To address this gap, we are developing the Gulf of Mexico Integrated Assessment Model (GOM IAM),the first coordinated platform that will allow for independent, rapid-response, and science based predictionsproviding the capabilities to assess risks and potential impacts associated with deep and ultra-deepwater drilling in the Gulf of Mexico. This predictive model and its analyses allow for the assessment andquantification of risks and environmental impacts from deepwater and ultra-deepwater oil and gas drillingand production, as well as provide a robust tool and database that can provide crucial informationnecessary for the response and recovery following future loss of control events. Once the GOM IAM isdeveloped, it can be utilize to: if) identify potential risks; ii) identify technology gaps, iii) improve ourunderstanding of the degree of uncertainty relative to key systems and interactions associated with deepand ultra-deep water offshore hydrocarbon development to promote safer development and operations,and iv) run scenarios to serve as a baseline rapid response tool for any future oil spill events.
机译:最近的自然和人为事件,例如卡特里娜飓风和丽塔飓风以及“深水地平线” 漏油,已经发现我们预测与海上碳氢化合物相关的风险的能力存在重大差距 生产以及我们应对范围,规模, 和持续时间。随着墨西哥湾近海油气开发的不断推进, 领土,需要开发能够快速预测结果的计算工具 与来自深水和超深水系统的意外碳氢化合物释放事件有关 墨西哥湾。迄今为止,尚不存在能够模拟复杂性的全面的系统级工具 天然工程系统,并提供驱动仿真所需的基线数据。 为了弥补这一差距,我们正在开发墨西哥湾综合评估模型(GOM IAM), 第一个可进行独立,快速响应和基于科学的预测的协调平台 提供评估与深度和超深度相关的风险和潜在影响的功能 在墨西哥湾进行水钻探。该预测模型及其分析可用于评估和 量化深水和超深水油气钻探的风险和环境影响 和生产,以及提供可以提供关键信息的强大工具和数据库 对于将来失去控制事件后的响应和恢复而言是必需的。一旦GOM IAM是 开发,它可以用于:如果)识别潜在的风险; ii)找出技术差距,iii)改善我们的 了解与关键系统相关的不确定性程度以及与深度相关的交互作用 和超深水海上油气开发,以促进更安全的开发和运营, iv)运行方案,以作为将来任何漏油事件的基线快速响应工具。

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