Abstract:Seismic data from desert and loess tableland areas often suffer from poor resolution and inferior imaging quality due to unfavorable source excitation conditions, strong noise interference, and severe high-frequency signal absorption and attenuation. To address this, a GT DS-5 Hz3×1 triple-core ultra-high sensitivity geophone was developed to capture high-frequency seismic signals. This was complemented by prestack processing techniques, including high-fidelity noise suppression, near-surface Q-absorption compensation, robust deconvolution, and Q-migration, forming an integrated “dual-high” (high-fidelity and high-resolution) seismic data processing system. When this technology was applied in the loess tableland area of the southern Ordos Basin, the data acquired using the GT DS-5 Hz3×1 geophone exhibited sharper responses at wave peaks and troughs, higher sensitivity, and enhanced identification capability for weak high-frequency reflections (the dominant frequency increased by ~3 Hz), leading to improved imaging. Combined with the high-fidelity, high-resolution processing workflow, frequency-division noise suppression was optimized, amplifying weak high-frequency signals and producing clearer reflection events, along with an expanded dominant frequency and effective bandwidth (dominant frequency increased by ~12 Hz). Ultimately, high-quality seismic data were obtained, providing effective technical support for exploration in complex near-surface terrains.