Processing Services

Not happy with the result you got the first time around? Do you want an expert to take a second look?


  • Our flexible processing technology can be applied to almost any geometry or dataset (surface, DAS, Downhole, etc.)
  • We don’t apply cookie cutter (one-size fits all) solutions we tailor a custom solution to each processing project
  • Difficult datasets are our specialty

This means that we can re-process datasets based on their merits and use them to extract the maximum information for managing your reservoir.

The data recorded by temporary and permanent surface installations contain a wealth of information on the stress state in the subsurface. Our state of the art processing technology is designed to gain the maximum information from large scale deployments (1000’s or 10,000’s of sensors), through the use of:

  • Custom coherent and random noise attenuation
  • Imaging-based event detection and location
  • Detection threshold and SNR analysis
  • Magnitude and Moment Tensor analysis

Furthermore, MST’s processing methodology is flexible enough to handle any array geometry (patch/ grid/ star/ shallow wells etc.).

Distributed Acoustic Sensing (DAS) systems are relatively new as geophysical measurements and have yet to reach their full potential for providing information on the subsurface. Instead of blindly applying standard seismological techniques to DAS data, at MST our technology was specifically developed to handle DAS datasets. Our technology includes:

  • Techniques for handling the large data volumes generated by DAS surveys
  • Data storage, processing, and simulation of finite strain in arbitrary fiber geometries
  • Custom noise attenuation technology
  • Imaging algorithms and Moment Tensor analysis algorithms designed for DAS microseismic

MST’s flexible technology stack can process, detect and locate microseismic events observed in downhole surveys. Our downhole location algorithm is a customized Bayesian inversion, providing a probability density function (PDF) for each event.  This is a much more powerful representation of event locations than standard locations and error bars, allowing for group analysis of events and feature delineation, and comparison with imaging-based results.