Compared with the surface, the deep environment has the advantages of allowing “super-quiet and ultra-clean”-geophysical field observation with low vibration noise and little electromagnetic interference, which are conducive to therealization of long-term and high-precision observation of multi-physical fields, thus enabling the solution of a series of geoscience problems. In the Panyidong Coal Mine, where there are extensive underground tunnels at the depth of 848 m belowsea level, we carried out the first deep-underground geophysical observations, including radioactivity, gravity, magnetic, magne-totelluric, background vibration and six-component seismic observations. We concluded from these measurements that (1) the background of deep subsurface gravity noise in the long-period frequency band less than 2 Hz is nearly two orders ofmagnitude weaker than that in the surface observation environment; (2) the underground electric field is obviously weaker thanthe surface electric field, and the relatively high frequency of the underground field, greater than 1 Hz, is more than two orders of magnitude weaker than that of the surface electric field; the east-west magnetic field underground is approximately the same asthat at the surface; the relatively high-frequency north-south magnetic field underground, below 10 Hz, is at least one order ofmagnitude lower than that at the surface, showing that the underground has a clean electromagnetic environment; (3) in additionto the high-frequency and single-frequency noises introduced by underground human activities, the deep underground spacehas a sig-nificantly lower background vibration noise than the surface, which is very beneficial to the detection of weakearthquake and gravity signals; and (4) the underground roadway support system built with ferromagnetic material interferesthe geomagnetic field. We also found that for deep observation in the “ultra-quiet and ultra-clean” environment, the existinggeophysical equipment and observation technology have problems of poor adaptability and insufficient precision as well asdata cleaning problems, such as the effective separation of the signal and noise of deep observation data. It is also urgent tointerpret and comprehensively utilize these high-precision multi-physics observation data.

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Four-component (4C) ocean-bottom node (OBN) surveys provide an opportunity to image subsurface elastic properties for oil and gas exploration in deep water environments. However, sparse acquisition sampling is challenging for high-quality imaging of OBN data. To alleviate this problem, we present a common-receiver domain 4C elastic Gaussian beam migration method based on an elastic reciprocity transformation that considers the monopole/dipole characters of both sources and receivers. Common-receiver migration is also computationally efficient in the OBN survey which has the number of shots usually larger than the number of geophones. We accomplish P/S and upgoing/downgoing wavefield decompositions at the “source-side” during migration. A decomposition matrix and a wavefield continuation formula are derived from the elastic Kirchhoff-Helmholtz integral with the representation of Green’s function as a superposition of Gaussian beams. The local slant stack is performed on the better-sampled common-receiver recordings, which is less sensitive to aliasing. We validate the performance of the method on synthetic data using the case of coarse sampling of OBNs in both deep and ultra-deep water environment.