Joint Inversion and Uncertainty Quantification of Electromagnetic and Seismic Data

我们建议与石油行业的合作伙伴合作，开发和测试一种新的方法来帮助解决两个问题：监测通过捕获释放的二氧化碳并将其储存在地下和地下来减缓气候变化的努力。有效监测地下油气储量，确保在生产过程中没有遗漏。要解决这两个问题，就需要精确监测流体的位置以及它们在地下的流动情况。我们建议扩展当前通常一次只应用一种监视技术的方法。在这里，我们的目标是结合两种监测技术：地震监测技术，它擅长于定位变化；电磁监测技术，它擅长于确定哪些属性发生了变化以及变化了多少。当我们结合这些技术时，我们将使用快速模拟数据的方法，这样我们就可以看到我们的建模数据与记录数据的匹配程度。一旦我们有了这些快速模拟技术，我们就可以将它们与许多模型的采样方法结合起来，使我们不仅可以估计变化，还可以对这些变化的不确定性进行测量。这项研究的目的是提高我们管理这类碳固存技术的能力，方法是对碳在哪里以及它留在那里的可能性给出更详细、更细致的描述。

We propose to collaborate with a petroleum industry partner to develop and test a novel approach to helping solve two problems: 1. monitoring efforts to mitigate climate change by capturing released carbon dioxide and storing it in the subsurface and 2. effectively monitoring oil and gas subsurface reserves to ensure none have been missed during production. The solution to both problems requires accurate monitoring of where fluids are and how they are moving in the subsurface. We propose to expand our current approaches that typically apply only a single monitoring technique at a time. Here we aim to combine two monitoring techniques: Seismic, which is good at localizing changes and Electromagnetic, which is good at determining what properties have changed and by how much. When we combine these techniques, we will do so using fast ways of simulating our data, so that we can see how well our modelled data match our recorded data. Once we have these fast simulation techniques, we can combine them with ways of sampling many models to allow us to not just estimate the changes, but also give a measure of the uncertainty of these changes. This aims to improve our ability to regulate these sorts of carbon sequestration techniques by giving a more detailed and nuanced picture of where the carbon is and how likely it is to remain there.