This invention discloses an AI-based multi-source, multi-
receiver inter-well seismic
data acquisition,
processing, and interpretation
system and method, relating to the interdisciplinary field of
artificial intelligence and geophysical exploration. The
system includes: multiple downhole artificial seismic sources, multiple inter-well seismic
signal receiving devices, a distributed acquisition and
control network, and an AI
processing and interpretation platform. This invention supports four stereoscopic acquisition
modes: single-well excitation of adjacent well reception, single-well excitation of multiple well reception, multiple-well excitation of single-well reception, and multiple-well excitation of multiple well reception. Through
deep learning models, it achieves intelligent denoising, automatic first arrival picking, intelligent wavefield separation, AI-driven full-
waveform inversion velocity modeling, intelligent amplitude-preserving migration imaging, and
reservoir fluid prediction. Finally, it combines
reinforcement learning to optimize development well deployment. This invention realizes
intelligent management of the entire process of inter-well seismic
data acquisition,
processing, and interpretation, significantly improving the acquisition efficiency, imaging resolution, and reservoir description accuracy of inter-well seismic data.