5:15 PM - 7:15 PM
[HSC06-P06] Study on the estimation of carbon dioxide concentration using hyperspectral sensor EMIT
Keywords:CCS, CO2 Detection, Monitoring, Atmospheric Simulation, Hyperspectrum, satellite image data analysis
Reduction of CO2 emissions to curb global warming is a common initiative worldwide. CCS (CO2 Capture and Storage) is one of technologies to tackle with the reduction of CO2 emissions and has recently been commercialized in Europe, United States, Australia, and Canada. In Japan, the consortium composed of oil companies, power enterprises and others has been conducting detailed studies on geological site evaluation, simulation of injected CO2 behavior, separation, capture and transport of CO2, and monitoring plans, with the support from the Japanese government. It aims for FID in 2026 (commencement of injection in 2030).
It is necessary to monitor various items such as temperature, pressure, well integrity, microseismic activities, etc., including CO2 leakage, during operation and after injection at CCS sites. For detecting leakage of trace amounts of CO2, the application of satellite image data may be helpful for the monitoring of the ocean and land surface.
The CIBR (Continuum Interpolated Band Ratio; Spinetti et al., 2008) is well known as a method of CO2 detection using optical sensor data. Mitsuhara et al. (2024) reported a successful application of CIBR using hyperspectral data of HISUI on the detection of CO2 anomalies.
In this study, EMIT (The Earth Surface Mineral Dust Source Investigation) data is used for the detection of CO2 around a coal-fired power plant, where large amount of CO2 is emitted, as well as for the estimation of CO2 amount. CO2 concentration at the power plant is successfully detected. Estimation of CO2 amount is performed through the curve-fitting between EMIT spectrum and simulated CO2 spectrum calculated by MODTRAN simulator. An investigation into the validity of the result is currently underway.
It is necessary to monitor various items such as temperature, pressure, well integrity, microseismic activities, etc., including CO2 leakage, during operation and after injection at CCS sites. For detecting leakage of trace amounts of CO2, the application of satellite image data may be helpful for the monitoring of the ocean and land surface.
The CIBR (Continuum Interpolated Band Ratio; Spinetti et al., 2008) is well known as a method of CO2 detection using optical sensor data. Mitsuhara et al. (2024) reported a successful application of CIBR using hyperspectral data of HISUI on the detection of CO2 anomalies.
In this study, EMIT (The Earth Surface Mineral Dust Source Investigation) data is used for the detection of CO2 around a coal-fired power plant, where large amount of CO2 is emitted, as well as for the estimation of CO2 amount. CO2 concentration at the power plant is successfully detected. Estimation of CO2 amount is performed through the curve-fitting between EMIT spectrum and simulated CO2 spectrum calculated by MODTRAN simulator. An investigation into the validity of the result is currently underway.