A method is described for full waveform inversion using a b-spline projection that produces an earth model that can be used for seismic imaging. The method may be executed by a computer system.

A method is described for full waveform inversion using a b-spline projection that produces an earth model that can be used for seismic imaging. The method may be executed by a computer system.

A method for imaging non-specular seismic events as well as correlating non-specular events with physically measurable quantites in a volume of Earth's subsurface. Includes entering as input to a computer signals detected by a plurality of seismic sensors disposed above and/or within the volume in response to actuation of at least one seismic energy source above and/or within the volume. Parameter analysis is performed to populate the initial model with point-wise, best-fit wavefront travel-time approximations. Imaging is performed to obtain undifferentiated specular and non-specular representations of the volume. Specular boundaries are mapped using the imaged volume and using the boundaries to form a model of specular components of the volume. Beamforming is used to characterize seismic attributes associated with specular and non-specular reflections as separate and differentiated data sets.

A method for imaging non-specular seismic events as well as correlating non-specular events with physically measurable quantites in a volume of Earth's subsurface. Includes entering as input to a computer signals detected by a plurality of seismic sensors disposed above and/or within the volume in response to actuation of at least one seismic energy source above and/or within the volume. Parameter analysis is performed to populate the initial model with point-wise, best-fit wavefront travel-time approximations. Imaging is performed to obtain undifferentiated specular and non-specular representations of the volume. Specular boundaries are mapped using the imaged volume and using the boundaries to form a model of specular components of the volume. Beamforming is used to characterize seismic attributes associated with specular and non-specular reflections as separate and differentiated data sets.

The present disclosure provides an earthquake evaluation method based on multi-type geophysical data. The method includes: acquiring natural seismic data about intraplate earthquakes that had occurred, surface elevation data, Bouguer gravity anomaly data, aeromagnetic anomaly data, seismic wave tomography, crustal GPS movement rate and focal mechanism solution in a target region; constructing planar grids of the target region, and respectively performing plane gridding processing on the natural seismic data about the intraplate earthquakes that had occurred, the surface elevation data, the Bouguer gravity anomaly data, and the aeromagnetic anomaly data based on the constructed planar grids of the target region; determining a plane distribution map of a meizoseismal area in the target region based on the data subjected to the plane gridding processing; and superimposing a surface elevation map and the plane distribution map of the meizoseismal area in the target region with the seismic wave tomography, and analyzing the crustal movement on both sides of the meizoseismal area and the matching relationship between the meizoseismal area and the crustal geological structure in combination with the crustal GPS movement rate and the focal mechanism solution so as to determine the geologic origin of a pleistoseismic zone.

The present application discloses an artificial intelligence calculation method and apparatus for monitoring an earthquake in real time based on edge cloud cooperation, and a storage medium. Wherein, the method is applied to a micro-earthquake data processing system. The micro-earthquake data processing system comprises an edge calculation device and a remote server that is in communication connection with the edge calculation device, wherein the remote server deploys a micro-earthquake data analyzing model based on an artificial intelligence to the edge calculation device in advance. Moreover, the method comprises: receiving, by the remote server, effective event data related to the micro-earthquake from the edge calculation device, wherein the effective event data is obtained, by the edge calculation device, by means of calculating and analyzing the micro-earthquake data collected by the edge calculation device by using the micro-earthquake data analyzing model; performing a transfer training to the micro-earthquake data analyzing model by the remote server according to the effective event data; and updating the model after the micro-earthquake data analyzing model that has been transfer-trained is transmitted to the edge calculation device by the remote server.

The present application discloses an artificial intelligence calculation method and apparatus for monitoring an earthquake in real time based on edge cloud cooperation, and a storage medium. Wherein, the method is applied to a micro-earthquake data processing system. The micro-earthquake data processing system comprises an edge calculation device and a remote server that is in communication connection with the edge calculation device, wherein the remote server deploys a micro-earthquake data analyzing model based on an artificial intelligence to the edge calculation device in advance. Moreover, the method comprises: receiving, by the remote server, effective event data related to the micro-earthquake from the edge calculation device, wherein the effective event data is obtained, by the edge calculation device, by means of calculating and analyzing the micro-earthquake data collected by the edge calculation device by using the micro-earthquake data analyzing model; performing a transfer training to the micro-earthquake data analyzing model by the remote server according to the effective event data; and updating the model after the micro-earthquake data analyzing model that has been transfer-trained is transmitted to the edge calculation device by the remote server.

Seismic data of a subterranean region is received by data processing apparatus. The seismic data includes multiple seismic data points. For each seismic data point, gradients are computed based on the received seismic data and a dip angle is computed based on the gradients for the each seismic data point. The dip angle is smoothed using anisotropic diffusion.

Seismic data of a subterranean region is received by data processing apparatus. The seismic data includes multiple seismic data points. For each seismic data point, gradients are computed based on the received seismic data and a dip angle is computed based on the gradients for the each seismic data point. The dip angle is smoothed using anisotropic diffusion.

The disclosure relates to a method of determining at least a property of a material situated behind a casing of a borehole, wherein an image of a imaging parameter of the material, such as acoustic impedance, has been obtained. The method comprising identifying zones of the image corresponding to disturbance zones, based in particular on values of the imaging parameters or other measured parameters, deleting the data of the imaging parameter in each of the disturbance zones, reconstructing for each zone, data of the imaging parameter from the data of imaging parameter at the neighboring zones, and determining at least a property of the material based on the reconstructed image.