Novel seismic strategies for monitoring fluid flow in C02 sequestration experiments and heavy-oil fields

用于监测 CO2 封存实验和稠油油田中流体流动的新型地震策略

• 批准号: 386013-2010
• 负责人: vanderBaan, Mirko
• 金额: $ 2.55万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=634096
• 关键词: Novel; seismic; strategies; monitoring; fluid

Canada has the second largest proven oil reserves in the world. Unfortunately these reserves are predominantly composed of tar sands with very high extraction and refining costs. Heavy-oil exploitation leads also in average to three times larger CO2 emissions than lighter oils. Commercial exploitation of these heavy oils in an environmentally friendly and sustainable fashion therefore demands the development of suitable CO2 sequestration strategies in order to reduce the emission of greenhouse gases into the atmosphere. Yet public and political acceptance of CO2 sequestration is unlikely unless we are able to detect fluid migration inside the storage reservoir reliably and most importantly the presence of any CO2 leakage. This proposal outlines new approaches to (1) develop robust, reliable and highly sensitive tools to monitor CO2 fluid migration and detect leakage; (2) examine strategies to reduce CO2 monitoring costs compared with conventional hydrocarbon acquisition and processing requirements; (3) improve detection of heavy-oil liquefaction to reduce steam-to-oil ratios thereby reducing drainage costs and environmental footprints. This will be achieved by integrating information contained in both microseismic recordings and surface seismic data, and by developing novel technologies to differentiate between in-situ variations in pressures and fluid contents. This is relevant since pressure perturbations precede fluid flow. Detection of pressure perturbations can therefore provide timely information on potential fluid flow pathways and leakage spots, well in advance of the actual fluids escaping in CO2 sequestration sites. It can also help to improve reservoir simulation models to enhance heavy-oil drainage. Such fundamental and applied research in both heavy-oil extraction and CO2 sequestration is essential to keep Canada at the forefront of hydrocarbon exploration and exploitation.

加拿大拥有世界第二大石油储量。不幸的是，这些储量主要由焦油砂组成，其提取和精炼成本很高。重油剥削的导线平均也是二氧化碳排放量的三倍，是较轻的油。因此，以环境友好和可持续的方式对这些重油进行商业开发需要开发合适的二氧化碳隔离策略，以减少温室气体的排放到大气中。然而，除非我们能够可靠地检测到存储储层内的流体迁移，否则公众对二氧化碳的隔离不太可能是不可能的，最重要的是，任何二氧化碳泄漏的存在。该提案概述了（1）开发强大，可靠且高度敏感的工具来监测二氧化碳流体迁移并检测泄漏的新方法； （2）与常规的碳氢化合物获取和处理要求相比，研究降低二氧化碳监测成本的策略； （3）改善对重油液化的检测，以降低蒸汽与油的比率，从而降低排水成本和环境足迹。这将通过整合微作用记录和表面地震数据中包含的信息，以及开发新型技术以区分压力和流体含量的原位变化。这很重要，因为压力扰动之前是流体流动。因此，在二氧化碳隔离部位的实际流体逃脱之前，检测压力扰动可以及时提供有关潜在流体流道和泄漏点的及时信息。它还可以帮助改善储层模拟模型，以增强重油的排水。在重油提取和二氧化碳隔离中，这种基本和应用研究对于将加拿大保持在碳氢化合物勘探和剥削的最前沿至关重要。