9 results about "Passive seismic" patented technology

The present invention discloses a joint detection method based on seismic reflection and vehicle noise. The present invention obtains active and passive seismic records in a study area through measurement. Based on the seismic interferometry method, the passive seismic records are subjected to mutual interference processing, offset stacking, and normalization processing to obtain virtual source shot gather records. The causal and non-causal parts of the virtual source shot gather records are screened based on a two-way virtual source shot gather record signal-to-noise ratio screening method to obtain high-signal-to-noise ratio passive surface wave records in the study area. Dispersion analysis is performed on the active and passive surface wave records, and the high-frequency dispersion curve extracted from the active source record is integrated with the low-frequency dispersion curve extracted from the passive source to obtain a broadband dispersion curve. The present invention combines active and passive surface wave analysis, utilizing surface wave information in seismic reflection waves and traffic noise to effectively acquire shallow surface structural features, laying the foundation for joint imaging of shallow surface velocity structures in thick coverage areas.

This invention relates to a method for enhancing virtual shot signals from a small number of seismic sources based on a convolutional neural network (CNN). The CNN identifies and suppresses coherent noise and spurious phase axes in seismic data. Virtual shot records with a small number of passive seismic sources are used as training data, while those with a larger number of sources are used as training labels. The characteristics of the effective signal are learned from these labels to suppress coherent noise and spurious phase axes, and to restore waveforms in areas of discontinuity. For virtual shot records with uneven source distribution, those with a wider distribution are used as labels. In this case, the network's task is not only to suppress coherent noise and spurious phase axes and restore waveform continuity and extension, but also to restore intersecting linear phase axes to hyperbolic phase axes. This reduces the impact of passive source acquisition on seismic records, ultimately achieving better results and improving the applicability of passive source seismic exploration.

Some embodiments relate to a method of controlling seismic sensing nodes for ambient noise tomography (ANT). The method includes: transmitting a sensing initiation command simultaneously to a plurality of the seismic sensing nodes to cause the seismic sensing nodes to begin passive seismic sensing for ANT, each of the seismic sensing nodes being deployed as part of a spaced array of seismic sensing nodes, the spaced array extending across a region of interest, the seismic sensing nodes having their own respective power supplies, vibration sensors, and communication componentry; receiving sensor data from the seismic sensing nodes while the seismic sensing nodes remain deployed across the region; generating a geophysical model of a sub-ground region in the region of interest based on the received sensor data; and transmitting a sensing termination command simultaneously to the seismic sensing nodes to cause the seismic sensing nodes to stop the passive seismic sensing.

A method may include receiving a plurality of seismic traces, from a plurality of seismic recorders associated with a geologic area of interest. The method may also involve modifying the plurality of seismic traces to obtain a consistent polarity for each seismic trace of the plurality of seismic traces. The method may then include generating a single waveform based on the plurality of modified seismic traces, and determining coherent energy values for the seismic events in the plurality of seismic traces based on the plurality of seismic traces and the single waveform.

The invention discloses a method for passive seismic source event screening and induced fracture disaster early warning, and the method comprises the steps: combining five parameters: a zero exchange rate Q, a singular value ratio xi, an energy dispersion coefficient R, a main energy domain skewness phi, and a main frequency domain aggregation theta; firstly, long-term stable environmental noise signals, accidental and sudden interference noise signals and similar signals highly matched with passive seismic source signals are sequentially removed from received signal data, the signal data size is effectively reduced through the three removal processes, then passive seismic source event signals are screened out from the remaining signal data, and the passive seismic source event signals are obtained. According to the mode, the loss rate of low-energy passive seismic source wave field signal files can be reduced, and the retention rate of passive seismic source events on that day can be improved; then classifying and identifying the passive seismic source event; and finally, carrying out danger coefficient division by combining the data, realizing graded early warning on induced fracture disasters at different positions of the coal rock mass, and finally effectively ensuring the safety of coal mining.

A method is described for automatically detecting shear-wave (S-wave) microseismic reflections using distributed acoustic sensing (DAS). The method includes obtaining raw DAS data; performing passive seismic event detection and phase picking; extracting a passive seismic event based on the passive seismic event phase picks to generate a seismic S-wave event gather; reducing noise in the raw DAS data; using the passive seismic S-wave event gather and the passive seismic event phases to identify an apex of a passive seismic S-wave event in the denoised DAS dataset and dividing it into two portions based on the apex; dip filtering the two portions to remove the direct arrival of the passive seismic S-wave events to generate a dip-filtered gather; and generating an S-wave microseismic reflection gather based on the dip-filtered gather.

The application provides a kind of side slope fissure passive source seismic wave imaging method, the patent adopts multi-wave multi-component seismograph, simultaneously gathers multiple seismic wave signals on three components, including surface wave, body wave and the like.This design significantly improves the richness of data, so that in data processing, a variety of seismic wave signals can be comprehensively utilized for inversion analysis.By joint processing and constraint of different wave types, the multi-solution problem in geophysical inversion can be effectively reduced, and the stability and reliability of the results are improved.In addition, the acquisition of multi-component data makes the imaging more comprehensive, especially in the characterization of fissure directionality and geometric features, which has obvious advantages.

The invention discloses a method and a system for dynamically detecting an internal structure on the side surface of a roadway by using a coal roadway tunneling coal breaking passive seismic wave signal. The method comprises the following steps of: S1, acquiring the coal roadway tunneling coal breaking passive seismic wave signal in real time and performing pulse processing on the coal roadway tunneling coal breaking passive seismic wave signal; s2, constructing an initial imaging model, and performing local optimal self-adaptive trigger correction on the signal obtained after pulse processing to obtain a signal after trigger correction; s3, utilizing the constructed initial imaging model and a signal obtained after triggering correction to carry out tunnel lateral inner structure imaging; advanced exploration of the abnormal geological structure in the coal face is synchronously achieved in the roadway construction process through tunneling coal breaking passive seismic wave signals, construction noise interference is avoided, limitation and danger of traditional hammering or explosive sources are avoided, tunneling efficiency is improved, safety risks are reduced, and the method is suitable for large-scale popularization and application. And the time-space domain stack of the real-time dynamic detection result significantly improves the detection precision.

A method is described for automatically detecting shear-wave (S-wave) microseismic reflections using distributed acoustic sensing (DAS). The method includes obtaining raw DAS data; performing passive seismic event detection and phase picking; extracting a passive seismic event based on the passive seismic event phase picks to generate a seismic S-wave event gather; reducing noise in the raw DAS data; using the passive seismic S-wave event gather and the passive seismic event phases to identify an apex of a passive seismic S-wave event in the denoised DAS dataset and dividing it into two portions based on the apex; dip filtering the two portions to remove the direct arrival of the passive seismic S-wave events to generate a dip-filtered gather; and generating an S-wave microseismic reflection gather based on the dip-filtered gather.