We developed an algorithm that can process signals from a hydraulic hammer during seismic surveys, replacing costly and hazardous measurements using explosives.

Thanks to our solution, the client gained a cheaper, safer, and faster way to study rock formations.

Assignment

During tunnel excavation, geological surveys are often performed. Traditionally, explosives are used to generate strong sound waves that are easily processed by computers. However, these methods are expensive and logistically demanding.

An alternative is to use a hydraulic hammer, which is cheaper and safer but generates weaker and less readable signals. Their analysis was previously so complex that it had to be done manually by a human expert.

Our Solution

We developed a Python-based algorithm that can reliably identify the sound waves necessary for rock analysis from signals generated by the hammer.

The algorithm analyzes changes in signal energy over time and uses cross-correlation between multiple recordings to extract useful information from weaker data.

Result

Thanks to our algorithm, the client can analyze rock structures without the need for explosives or manual expert supervision.

• significant costs for explosives,
• time and human labor required for manual evaluation.

The developed algorithm is now integrated into the company’s processes, enabling cheaper, safer, and faster geological exploration.

The Amberg Group is a unique knowledge, engineering and technology provider of logistics and infrastructures for smart cities, hubs and networks through innovative combinations of above and underground space usage.
https://www.amberggroup.com