The present disclosure relates to a fracturing system comprising a functional unit, an electricity supply unit, and an energy storage unit. The functional unit is configured to perform procedures of fracturing operations. The electricity supply unit is electrically connected with the functional unit and is configured to supply electrical energy to the functional unit. The energy storage unit is respectively electrically connected with the electricity supply unit and the functional unit, and is configured to store electrical energy from the electricity supply unit and supply electrical energy to the functional unit.

Methods are presented for determining the location of underground features (e.g., CO.sub.2). One method includes capturing, by sensors distributed throughout a region, seismic traces associated with seismic signals generated by a seismic source. For multiple sensors, active noise is identified or passive noise is measured within each seismic trace and values for attributes associated with the active or passive noise are determined. Further, an unsupervised machine-learning model, based on the values of the attributes, is utilized to determine noise characteristics for multiple sensors. The sensors are grouped in clusters based on the noise characteristics for each sensor. For multiple clusters, a noise filter is created based on the noise characteristics of the sensors in the cluster, and the noise filter of the cluster is applied, for multiple sensors, to the seismic traces of the sensor. Additionally, the filtered seismic traces are analyzed to determine a location of CO.sub.2 underground.

Aspects of the subject technology relate to systems, methods, and computer-readable media for controlling a hydraulic fracturing job. Diagnostics data of a hydraulic fracturing completion of a wellbore can be received. A fracture formation model that models formation characteristics of fractures formed through the wellbore into a formation surrounding the wellbore during the hydraulic fracturing completion with respect to surface variables can be accessed. A subsurface objective function of fracture complexity can be selected from a plurality of subsurface objective functions for changing one or more of the formation characteristics of the fractures. The fracture formation model can be applied based on the diagnostics data to determine values of the surface variables for controlling the formation characteristics of the fractures to converge on the subsurface objective function of fracture complexity. As follows, a fracture completion plan can be formed based on the values of the surface variables.

Seismic data from seismic exploration surveys are mapped into a hypercube of bins or voxels in a four-dimensional space (X, Y, Offset, and Azimuth) according to Common Mid-Point (or CMP) between source and receivers. The mapped data from individual voxels or bins is then analyzed by multimodal statistics. Robust estimates of first break picks are obtained from the analysis. The first break picks are then used to as seed inputs for autopicking iteration, which proceeds to convergence. Estimates of confidence levels in the data are provided for re-picking to reduce computer processing time in successive autopicking iterations. Analysis is provided of different seismic attributes such as azimuthal velocity variations indicative of anisotropy, positioning errors of sources/receivers, geometry errors, and three dimensional distribution of inversion residuals. Analysis is also performed of standard deviation of the travel time data useful for estimating data errors in the inversion covariance matrix.

Some aspects of what is described here relate to seismic profiling techniques. A seismic excitation is generated in a first directional section of a first wellbore in a subterranean region. Seismic responses associated with the seismic excitation are detected in directional sections of a plurality of other wellbores in the subterranean region. A fracture treatment of the subterranean region is analyzed based on the seismic responses. In some instances, a multi-dimensional seismic velocity model of the subterranean region is generated based on the seismic responses.

According to an example aspect of the present invention, there is provided an apparatus comprising a memory configured to store seismic data, at least one processing core configured to perform a geographic determination, based on the seismic data and reference data, the geographic determination relating to a geographical location of a device that produced the seismic data. In some embodiments, the device that produced the seismic data is comprised in a cloud computing server. In other embodiments, the device that produced the seismic data is integrated in a secure computing element on a motherboard of a computer. In further embodiments, the reference data originates in a trusted seismographic source.

Systems and methods are provided for determining localization information for sources of seismic energy positioned below a ground surface. In accord with one series of embodiments, a method of determining localization information receives data from first seismic sensors in a first three dimensional array containing sensors emplaced below the ground surface and coherently processes the signals to provide three dimensional localization information that enables determination of an angle of arrival for a signal of interest. In combination with data from second seismic sensors in a second three dimensional array the method provides determination of a position in three dimensional space.

A seismic observation device includes a data acquisition unit that acquires measurement data from each of a plurality of sensors that measure different types of state quantities related to movement of a ground, and an event determination unit that determines whether or not a predetermined event related to the movement of the ground has occurred on the basis of the measurement data from the plurality of sensors.

A zero-offset wavefield synthesis workflow to calculate a synthesized zero-offset wavefield output without the commitment to an rms velocity field output to circumvent velocity uncertainty. Said zero-offset wavefield synthesis workflow comprises calculating a migration cube output. Rendering a demigration cube output from said migration cube output with a demigration cube calculation. Rendering said synthesized zero-offset wavefield output from said demigration cube output with a zero-offset wavefield synthesis procedure.

A fracture network mapping system can include a sensor, a repeater, an acoustic signal generator, and a distributed acoustic sensing system. The sensor and the repeater can be positioned in a fracture of a well. The acoustic signal generator can be positioned in a wellbore of the well. The distributed acoustic sensing system can communicate location data of the sensor from the repeater and the acoustic signal generator to a processing device for mapping the fracture.