Acoustic imaging waveforms are measured utilizing a downhole acoustic tool within a wellbore, and then aligned relative to a main echo of each waveform. The aligned waveforms are then subjected to a first low-pass filter. Residuals are extracted by determining differences between the aligned waveforms and the filtered waveforms. The residuals are aligned to corresponding acoustic firing pulses of the downhole acoustic tool. The aligned residuals are subjected to a second low-pass filter. The measured waveforms are aligned to the corresponding acoustic firing pulses. Noise associated with the downhole acoustic tool is removed from the pulse-aligned, measured waveforms utilizing the filtered residuals.

Noise can be attenuated in marine seismic data from a marine seismic survey. A first near-continuous measurement of a wavefield and a second near-continuous measurement of the wavefield recorded from a marine seismic survey can be equalized, a coherent portion of the equalized second near-continuous measurement can be collapsed, and a noise model can be derived. The noise model can be subtracted from the second near-continuous measurement.

Systems, methods, and media for modeling and filtering noise in seismic surveys are disclosed. Methods, systems, and computer program products in accordance with the present disclosure perform operations including obtaining seismic information of a region resulting from a source waveform applied to the region. The operations also include obtaining an estimate of visco-elastic properties of a near-surface of the region. The operations further include determining an estimate of propagation of guided waves in the region based on the estimate of visco-elastic properties of a near-surface of the region. Additionally, the operations include determining a model of the guided waves in the near-surface of the region using the estimate of propagation of the guided waves and an estimate of the source waveform. Moreover the operations include determining a filtered output of the seismic information by removing the model of the guided waves from the seismic information.

A system includes an acoustic logging tool including a transducer configured to: emit a first acoustic pulse in a first direction toward a first acoustic surface; measure a first acoustic signal, wherein the first acoustic signal includes a coherent noise component and a first echo component, wherein the first echo component is due at least in part to an interaction of the first acoustic pulse with the first acoustic surface; emit a second acoustic pulse in a second direction, wherein the second direction is at least partly directed away from the first acoustic surface; and measure a second acoustic signal, wherein the second acoustic signal includes substantially only the coherent noise component. The system also includes a data processing system that includes a processor configured to remove the measurement of the second acoustic signal from the measurement of the first acoustic signal to reduce coherent noise.

A method for estimating a time variant signal representing a seismic source obtains seismic data recorded by at least one receiver and generated by the seismic source, the recorded seismic data comprising direct arrivals and derives the time variant signal using an operator that relates the time variant signal to the acquired seismic data, the operator constrained such that the time variant signal is sparse in time.

An example system for noise removal in distributed acoustic sensing data may include a distributed acoustic sensing (DAS) data collection system and an information handling system coupled thereto. The information handling system may receive seismic information from the DAS data collection system. The seismic information may include seismic traces associated with a plurality of depths in the wellbore. The information handling system may also generate a noise pilot trace by stacking one or more of the seismic traces, and subtract the noise pilot trace from the seismic information received from the DAS data collection system.

Systems and methods of performing a seismic survey are described. The system can receive seismic data. The system receives seismic data from one or more seismic data sources. The system propagates the seismic data forward in time through a subsurface model to generate a first wavefield. The system propagates the seismic data backward in time through the subsurface model to generate a second wavefield. The system combines the first wavefield with the second wavefield using a time gate imaging condition to produce subsurface images and image gathers.

Methods for processing seismic data acquired with non-impulsive moving sources are provided. Some methods remove cross-talk noise from the seismic data using emitted signal data and an underground formation's response estimate, which may be iteratively enhanced. Some methods perform resampling before a spatial or a spatio-temporal inversion. Some methods compensate for source's motion during the inversion, and/or are usable for multiple independently moving sources.

A technique includes receiving first data acquired by at least a particle motion gradient sensor or a rotation sensor of a streamer that is subject to vibration due to towing of the streamer; and receiving second data acquired by at least one particle motion sensor of the streamer and being indicative of particle motion and vibration noise. The technique includes processing the second data in a processor-based machine to, based at least in part on the first data, attenuate the vibration noise indicated by the second data to generate third data indicative of the particle motion.

A method for estimating a time variant signal representing a seismic source obtains seismic data recorded by at least one receiver and generated by the seismic source, the recorded seismic data comprising direct arrivals and derives the time variant signal using an operator that relates the time variant signal to the acquired seismic data, the operator constrained such that the time variant signal is sparse in time.