Seismic survey data is processed to simultaneously attenuate noise and interpolate the data. A frequency slice of one of a plurality of overlapping subvolumes formed from the seismic survey data is selected. A noise reduced, interpolated frequency slice is generated by jointly minimizing a nuclear norm of a trajectory matrix data corresponding to the desired data and an L.sub.1 norm of erratic noise in the selected frequency slice. The noise reduced and interpolated frequency slice is combined with at least one other frequency slice to produce a noise reduced, interpolated frequency subvolume of the surveyed area. The noise reduced, interpolated frequency subvolume is combined with at least one other noise reduced, interpolated frequency subvolume to produce noise reduced, interpolated seismic data of the surveyed area.

A method for detecting seismic events, the method including acquiring acceleration data over a given period of time from one or more accelerometers located on a grid framework structure; comparing the acquired acceleration data to ground acceleration data from one or more accelerometers located on the ground; determining a differential acceleration between the acceleration data and the ground acceleration data; determining displacement data from the differential acceleration; and determining whether a seismic event has taken place over the given period of time based on the displacement data.

A vibration detection system includes a seismic source device that generates a vibration wave repeated with a predetermined period, a vibration receiving device that receives a response wave due to the vibration wave transmitted via the ground, and a signal processing apparatus that processes measured vibration signals received by the vibration receiving device. The signal processing apparatus includes a separating part that separates individual periodic signals having a period according to a periodicity of the vibration wave generated by the seismic source from the measured vibration signals, the calculating part that calculates the standard periodic signal from the separated individual periodic signals, and the generating part that subtracts the standard periodic signal from the measured vibration signals and generates differential signals.

The disclosed method includes receiving resulting signals emanating from a subterranean formation, wherein the resulting signals are caused by signals emitted from seismic sources. The method further includes dividing the resulting signals into a plurality of sub-samples. The method includes determining a frequency content of one or more of the sub-samples and assigning a weight to or more components of the frequency content of the sub-sample to produce a weighted frequency content of the sub-sample, wherein the assigned weight is based, at least in part, on an estimate of the amount of noise present in the frequency content of the sub-sample. The method further includes combining the weighted frequency contents of the sub-samples to produce a weighted sample. The method further includes determining one or more properties of the subsurface formation based, at least in part, on the weighted sample.

A method can include receiving seismic survey data of a subsurface environment from a seismic survey that includes a source arrangement of sources that is spatially denser than a receiver arrangement of receivers; processing the seismic survey data using the principle of reciprocity for performing interpolation across the receivers to generate processed seismic survey data; and generating an image of at least a portion of the subsurface environment using the processed seismic survey data.

A computer implemented method that constrains prestack seismic wavefront attributes is described. The method includes estimating wavefront attributes in intervals sized to include a representative subset of an original seismic dataset and applying a semblance threshold to the wavefront attributes based on an estimated semblance value, wherein wavefront attributes that satisfy the semblance threshold are retained. The method also includes transforming the retained wavefront attributes to reduce a range of possible values and selecting minimum and maximum values of the wavefront attributes based on statistical criteria. The method includes estimating wavefront attributes for the original seismic dataset using the selected minimum and maximum values.

Various implementations directed to quality control and preconditioning of seismic data are provided. In one implementation, a method may include receiving particle motion data from particle motion sensors disposed on seismic streamers. The method may also include performing quality control (QC) processing on the particle motion data. The method may further include performing preconditioning processing on the QC-processed particle motion data. The method may additionally include attenuating noise in the preconditioning-processed particle motion data.

A method of identifying inflow locations along a wellbore comprises obtaining an acoustic signal from a sensor within the wellbore, determining a plurality of frequency domain features from the acoustic signal, and identifying, using a plurality of fluid flow models, a presence of at least one of a gas phase inflow, an aqueous phase inflow, or a hydrocarbon liquid phase inflow at one or more fluid flow locations. The acoustic signal comprises acoustic samples across a portion of a depth of the wellbore, and the plurality of frequency domain features are obtained across a plurality of depth intervals within the portion of the depth of the wellbore. Each fluid flow model of the plurality of fluid inflow models uses one or more frequency domain features of the plurality of the frequency domain features, and at least two of the plurality of fluid flow models are different.