利用反演方法对挪威北海Sleipner油田碳捕集与封存项目中的二氧化碳注入进行四维地震解释监测

Brimas Aptanindia Pangestu, M. Lubis
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引用次数: 0

摘要

Sleipner是世界上第一个位于挪威海岸的商业碳捕获和储存(CCS)项目,其目标是通过捕获二氧化碳并将其储存在能够储存多达6000亿吨二氧化碳的utsira含水层砂岩水库中来减少碳排放。这些项目中的二氧化碳注入量逐年增加,因此必须监测二氧化碳的开发,以了解其分布模式及其对储层的影响。本研究的目的是使用4维反演计算和建模声阻抗反演产生的CO2分布,并使用归一化均方根属性计算基线和监测器之间地震数据的可重复性。在处理过程中,基线和监测数据必须在覆盖层区域使用交叉均衡过程进行匹配,以便进行反演过程。结果显示,两个地震数据集(基线和监测器)与合理重复性分类之间存在相关性,以及CO2在安全储存的储层中的分布,该储层横向扩散且不会泄漏。
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4-dimensional seismic interpretation to monitor CO2 injection in carbon capture & storage project of Sleipner field, North Sea, Norway using inversion method
Sleipner is the world's first commercial Carbon Capture and Storage (CCS) project, located off the coast of Norway, with the goal of reducing carbon emissions by capturing CO2 and storing it in a utsira saline aquifer sandstone reservoir capable of storing up to 600 billion tonnes of CO2. The CO2 injection in these projects increases year after year, so the CO2 development must be monitored to see the distribution pattern and its implications for the reservoir zone. The purpose of this research is to calculate and model the CO2 distribution resulting from acoustic impedance inversion using 4-dimensional inversion, to calculate the repeatability from seismic data between baseline and monitor using the Normalized Root Mean Square attribute. In the processing, baseline and monitor data must be matched in the overburden zone using a cross-equalization process so that the inversion process. The results revealed a correlation between the two seismic data sets (baseline and monitor) with the classification of Reasonable Repeatability, and CO2 distribution in a securely stored reservoir that spreads laterally and does not leak.
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审稿时长
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