Effect Of Trace Impurities In a CO2 Flow

AI Exploration开发了一种新型传感器，可以测量多组分二氧化碳流中的痕量H2O，用于碳捕获和存储应用。在这个项目中，我们的目标是解决我们现有传感器的测量挑战。不同类型和水平的其他杂质（除了H2O）的存在对准确和重复地进行这种测量提出了重大挑战。该项目的重点是在国家物理实验室的主要标准多气体、多压力湿度实验室中测试AIX现有的原型系统以及其他测量系统，以评估AIX技术在不同环境条件下的性能，并将其性能与其他传感方法进行比较。解决这一问题的真正好处是，它将使AI Exploration能够快速跟踪产品走向与BP等大型运营商的商业工业试验，这将提高其在市场上的竞争力。

AI Exploration has developed a novel sensor that can measure trace H2O in a multi-component CO2 flow for Carbon Capture and Storage applications.During this project we aim to address the measurement challenge we have with our existing sensor. The presence of different types and levels of other impurities (besides H2O) poses a significant challenge to perform this measurement accurately and repeatedly. The focus of this project is to test AIX's existing prototype system along side other measurement systems in NPL's primary standard multi-gas, multi-pressure humidity lab to assess the performance of AIX's technology in different environmental conditions and compare the performance to other sensing approaches.The true benefit of solving this problem is it will allow AI Exploration to fast track the product towards commercial industrial trials with large operators like BP which will increase its competitiveness in the marketplace.