کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8090488 | 1521979 | 2015 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Analysis of signal-to-noise ratio of δ13C-CO2 measurements at carbon capture, utilization and storage injection sites
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
فرآیندهای سطح زمین
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Analysis of signal-to-noise ratio of δ13C-CO2 measurements at carbon capture, utilization and storage injection sites Analysis of signal-to-noise ratio of δ13C-CO2 measurements at carbon capture, utilization and storage injection sites](/preview/png/8090488.png)
چکیده انگلیسی
As new regulations from the United States Environmental Protection Agency require monitoring and accounting for Class VI injection wells, determining the efficacy of monitoring techniques is a crucial barrier to wide scale carbon capture, utilization and storage (CCUS) deployment. The monitoring of CO2 injection sites to ensure safety and operational success requires high temporal resolution CO2 concentration and carbon isotopic (δ13C) measurements. As rapid measurement of δ13C is not possible with standard isotope ratio mass spectrometry (IRMS), we have developed a methodology using cavity ringdown spectroscopy (CRDS) with a manifold system in order to obtain accurate rapid measurements from a large sample area over an extended study period. A modified Picarro G1101-i CRDS with updated software and an auxiliary laser allows for rapid and continuous field measurement of concentrations and δ13C of carbon dioxide as well as concentrations of water and methane. A manifold system actuated by a 16 position valve allows for an increased sampling region and internet connectivity and software developments permit immediate access to data from a remote location. At a field site in Texas where preparations have been underway for enhanced oil recovery (EOR) operations, we have been able to observe biogenic effects on a diurnal scale, as well as variation due to precipitation and seasonality. Our system has proven field readiness for the monitoring of sites with modest CO2 flux. These data have been used to improve leak detection thresholds by an order of magnitude over published models.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Greenhouse Gas Control - Volume 42, November 2015, Pages 307-318
Journal: International Journal of Greenhouse Gas Control - Volume 42, November 2015, Pages 307-318
نویسندگان
Benjamin Galfond, Daniel Riemer, Peter Swart,