Microseismic Monitoring

Our super-station design allows for scalable and flexible array configurations that adapt to any environment and reduce the number of sensors required. The lower station count compared to traditional surface acquisitions reduces the environmental footprint, field exposure and acquisition cost of the project. The unique geometry of a super-station and proprietary noise suppression algorithms provide best-in-class enhancement of signal-to-noise ratio, allowing detection of microseismic events below Mw−2.

Our leading edge workflows and industry-leading data processing maximizes data and reduces the turn-around time, getting you actionable insights quickly. Machine-learning based imaging algorithms are used to automatically detect and locate events using a velocity model calibrated from perforations or events in a series of refinements. Matched-filter techniques are also applied to ensure a uniform detection threshold is achieved. All potential events undergo an additional manual verification by our highly trained team of data analysts.