Systems and methods include a computer-implemented method for presenting interpretation results of synchronized seismic data and fracture treatment times. A standard format seismic dataset of sensor readings obtained from a three-component sensor is generated. Coordinates and recording times corresponding to the sensor readings are added to the standard format seismic dataset. Synchronized seismic data is generated from the standard format seismic dataset by synchronizing seismic recording times with fracture treatment times. Quality-controlled synchronized seismic data is generated by removing dead traces and abnormal data samples from the synchronized seismic data. A time-frequency analysis is performed on the quality-controlled synchronized seismic data, including performing short-time Fourier transforms to analyze variations of Fourier spectra over time. Based on the time-frequency analysis, resonance frequencies are extracted from each frequency spectrum at different time samples. Interpretation results based are presented to a user.

Optimizing seismic to depth conversion to enhance subsurface operations including measuring seismic data in a subsurface formation, dividing the subsurface formation into a training area and a study area, dividing the seismic data into training seismic data and study seismic data, wherein the training seismic data corresponds to the training area, and wherein the study seismic data corresponds to the study area, calculating target depth data corresponding to the training area, training a machine learning model using training inputs and training targets, wherein the training inputs comprise the training seismic data, and wherein the training targets comprise the target depth data, computing, by the machine learning model, output depth data corresponding to the study area based at least in part on the study seismic data; and modifying one or more subsurface operations corresponding to the study area based at least in part on the output depth data.

Systems and methods include a computer-implemented method for presenting interpretation results of synchronized seismic data and fracture treatment times. A standard format seismic dataset of sensor readings obtained from a three-component sensor is generated. Coordinates and recording times corresponding to the sensor readings are added to the standard format seismic dataset. Synchronized seismic data is generated from the standard format seismic dataset by synchronizing seismic recording times with fracture treatment times. Quality-controlled synchronized seismic data is generated by removing dead traces and abnormal data samples from the synchronized seismic data. A time-frequency analysis is performed on the quality-controlled synchronized seismic data, including performing short-time Fourier transforms to analyze variations of Fourier spectra over time. Based on the time-frequency analysis, resonance frequencies are extracted from each frequency spectrum at different time samples. Interpretation results based are presented to a user.

Systems and methods include a computer-implemented method for presenting interpretation results of synchronized seismic data and fracture treatment times. A standard format seismic dataset of sensor readings obtained from a three-component sensor is generated. Coordinates and recording times corresponding to the sensor readings are added to the standard format seismic dataset. Synchronized seismic data is generated from the standard format seismic dataset by synchronizing seismic recording times with fracture treatment times. Quality-controlled synchronized seismic data is generated by removing dead traces and abnormal data samples from the synchronized seismic data. A time-frequency analysis is performed on the quality-controlled synchronized seismic data, including performing short-time Fourier transforms to analyze variations of Fourier spectra over time. Based on the time-frequency analysis, resonance frequencies are extracted from each frequency spectrum at different time samples. Interpretation results based are presented to a user.

Active source surface wave prospecting method which is applicable to technical field of geological prospecting, comprising: collecting, by detector at preset station, surface wave data transmitted from seismic source; calculating to obtain dispersion energy graph on basis of vector wave-number transformational algorithm and according to surface wave data; extracting dispersion curve from dispersion energy graph, dispersion comprising base-order surface wave dispersion curve and high-order surface wave dispersion curve; establishing initial stratigraphic model according to base-order surface wave dispersion curve and high-order surface wave dispersion curve, performing, according to initial stratigraphic model, joint inversion on base-order surface wave dispersion curve and high-order surface wave dispersion curve to obtain inverting data of stratigraphic texture. Accuracy of surface wave prospecting result is effectively improved. Further provided are surface wave exploration device and terminal device.

Active source surface wave prospecting method which is applicable to technical field of geological prospecting, comprising: collecting, by detector at preset station, surface wave data transmitted from seismic source; calculating to obtain dispersion energy graph on basis of vector wave-number transformational algorithm and according to surface wave data; extracting dispersion curve from dispersion energy graph, dispersion comprising base-order surface wave dispersion curve and high-order surface wave dispersion curve; establishing initial stratigraphic model according to base-order surface wave dispersion curve and high-order surface wave dispersion curve, performing, according to initial stratigraphic model, joint inversion on base-order surface wave dispersion curve and high-order surface wave dispersion curve to obtain inverting data of stratigraphic texture. Accuracy of surface wave prospecting result is effectively improved. Further provided are surface wave exploration device and terminal device.

A non-blended dataset related to a same surveyed area as a blended dataset is used to deblend the blended dataset. The non-blended dataset may be used to calculate a model dataset emulating the blended dataset, or may be transformed in a model domain and used to derive sparseness weights, model domain masking, scaling or shaping functions used to deblend the blended dataset.

A non-blended dataset related to a same surveyed area as a blended dataset is used to deblend the blended dataset. The non-blended dataset may be used to calculate a model dataset emulating the blended dataset, or may be transformed in a model domain and used to derive sparseness weights, model domain masking, scaling or shaping functions used to deblend the blended dataset.

A method for seismic data processing can include obtaining seismic data acquired based upon trigger times and not based upon positions of triggered source elements. The seismic data can include near-continuously recorded seismic data in split records. The split records can be spliced together into a single near-continuous record to produce a trace with seismic data from a single acquired line. The seismic data can be processed by performing a spatial shift for each of a number of time samples to correct for motion of a number of seismic receivers.

A virtual seismic shot record is generated based at least in part on seismic interferometry of the passive seismic data. Then, a frequency bandwidth of the virtual seismic shot record is determined, wherein the frequency bandwidth comprises a plurality of frequencies. The virtual seismic shot record is transformed into a frequency-dependent seismic shot record based on a first frequency of the plurality of frequencies. Further, a phase shift is applied to the frequency-dependent seismic shot record. A first velocity model is generated from the phase shifted frequency-dependent seismic shot record. A second velocity model may be generated using full-waveform inversion (FWI). One or more depth slices are identified from the second velocity model. A seismic image is generated based on the one or more depth slices for use with seismic exploration above a region of subsurface including a hydrocarbon reservoir and containing structural features conducive to a presence, migration, or accumulation of hydrocarbons.