Target-oriented seismic imaging for subsurface monitoring

What is it about?

Creating highly detailed images of the subsurface for applications like geothermal, CO2, and hydrogen storage can be expensive and time-consuming. We wanted to find ways to make this more efficient and improve image quality. Our research developed a new technique that focuses imaging on a specific, targeted area underground. This reduces the amount of data that needs to be processed, improving speed and results. We use a special data processing method called "Marchenko redatuming," along with other techniques, to virtually reposition sensors and zero in on the most critical information. Testing this method with real-world data proved successful! The images our algorithm produced were clearer and the process was more efficient. This technique has the potential to significantly improve the way we monitor and develop renewable energy storage solutions.

Featured Image

Photo by Mauro Gigli on Unsplash

Photo by Mauro Gigli on Unsplash

Why is it important?

This work contributes to the development of more precise and efficient subsurface monitoring solutions, particularly for geothermal, CO2 storage, and hydrogen storage applications.