Broadband Magnetotellurics (MT / AMT / CSAMT)
Full Tensor, Vector or Scalar Arrays
The gDAS-32 system records high-resolution time series data, typically during night time, for Magnetotelluric (MT) surveys. This data is processed to estimate subsurface transfer functions, from which apparent resistivity and impedance phase are derived. The results enable resistivity modelling at the dipole, station, or line level (depending to the setup), with investigation depths reaching several tens of kilometers.
Induced Polarization & Resistivity (TDIP / CR)
Vector/Tensor, Gradient, PDIP, DDIP, PP, offset 3D arrays
The gDAS-32 enables simultaneous Time or Frequency Domain (CR) IP acquisition across any array configuration. Paired with the iSense current monitor, it supports precise current tracking and synchronization for stacking and averaging of received signals.
MT data can be recorded on the same array to derive local telluric fields, enabling telluric cancellation and enhancing IP data quality.
Transient Electromagnetics (TEM)
Coincident-Loop / In-Loop Arrays
The gDAS-32 system enables high-resolution full time-series TEM acquisition, capturing either dB/dt or B-field responses depending on the sensor used. Its low noise floor extends the decay response, increasing depth penetration and target detectability. The gDAS-gTX controller provides precise GPS-PPS timed waveforms, supporting both standard and non-standard transmitter signals.
Controlled Source Electromagnetics (CSEM)
Multi-array support for E- and H-field acquisition
CSEM bridges the gap between near-field IP/DC methods and far-field MT, offering enhanced signal clarity in noisy environments. Using grounded or ungrounded transmitter loops, the system records transfer functions from electric and magnetic field dipoles across a range of frequencies and harmonics.
CSEM is easily integrated into existing IP and MT surveys—enabling a "3-in-1" workflow by injecting additional high-frequency signals using the same array and capturing synchronous time series for accurate transfer function estimation.