Seismic Data Acquisition TRIZ Cases

Assigning unique frequency bandwidths and sweep lengths to vibratory source groups minimizes recorded crosstalk in land seismic surveys.

Pseudo-random frequency sweeps allow pre-phase subtraction to attenuate seismic noise without repetitive diversity stacking measurements.

A vectorized disorder algorithm measures seismic data randomness using a 3D convolution operator.

Combines modeled and measured near-field signatures using frequency-dependent weights to resolve noise contamination in marine seismic surveys.

Inertial sensors embedded in window controllers detect seismic P-waves to trigger early building alerts.

Inversion separation extracts individual seismic source signals from blended survey data using random activation delays.

A control device modifies the trajectory of a seismic source vehicle to maintain consistent shooting positions during field operations.

Inversion process separates simultaneous seismic sources using random time delays to create incoherent interference patterns.

Rotation sensors allow wider seismic spacing to attenuate ground roll noise without dense arrays.

Optimizes seismic survey parameters using Monte Carlo simulation to separate interfering energy signals from multiple sources.

A controlled-frequency acoustic source transmits narrowband energy waves into subsurface formations to optimize signal illumination.

Independent seismic sources fire pseudorandom noise signals simultaneously to capture subterranean reflections without coordinated timing.