A seabed object detection system is provided. The system can include a receiver array including a first streamer and a second streamer. The system can include a first plurality of receivers coupled with the first streamer and a second plurality of receivers coupled with the second streamer. The system can include a receiver array cross-cable to couple with the first streamer and the second streamer. The system can include a source array including a first source and a second source. The system can include a first source cable coupled with the first source and a second source cable coupled with the second source. The system can include a source array cross-cable to couple with the first source cable and the second source cable. The system can include a first lateral cable to couple with a first diverter and second lateral cable to couple with a second diverter.

One or more first sensors may be configured to sense seismic signals and one or more second sensors may be configured to sense electromagnetic crosstalk signals. The second sensors are not responsive to the seismic signals. The data from the first and second sensors may be recorded as first data and second data, respectively. The first data may be modified based on the second data to remove the electromagnetic crosstalk noise form the seismic data.

A method for generating an image of a subsurface based on blended seismic data includes receiving the blended seismic data, which is recorded so that plural traces have uncontaminated parts with different uncontaminated recording time lengths, selecting plural subgroups (SG1, SG2) of traces so that each subgroup (SG1) includes only uncontaminated parts that have a same uncontaminated recording time length, processing the traces from each subgroup to generate processed traces, mapping the processed traces to a same sampling, combining the processed traces from the plural subgroups (SG1, SG2) to generate combined processed traces, and generating an image of a structure of the subsurface based on the combined processed traces.

Described herein is a method for acquiring data using a marine vibrator towed by a vessel, the method comprising: obtaining data comprising at least one nominal pre-plot position in a horizontal plane; monitoring a position of the marine vibrator in the and a speed of the vessel; determining an offset between the position of the marine vibrator and the nominal pre-plot position in the towing direction; based on the offset and the vessel speed, adjusting one or more survey parameters and driving the vibrator with a series of one or more sweeps so that a predetermined frequency in the sweep or a subsequent sweep is emitted when the position of the vibrator is within a maximum distance of the nominal pre-plot position.

A modular seismic unit storage and handling system with a gantry robot and charging magazine is provided. The storage and handling system can include a storage container. The storage and handling system can include a top hat and a top hat extension. The storage and handling system can include an automated connection and charging magazine. The top hat can be connected to a gantry robot. The gantry robot can include a robotic arm.

A method includes receiving seismic data including signals collected using a receiver, separating a downgoing wavefield from an upgoing wavefield in the signals, generating a modified downgoing wavefield by removing direct arrivals from the downgoing wavefield, estimating a first-order multiple reflection signal at least partially by deconvolving the modified downgoing wavefield and the downgoing wavefield, and generating a seismic image based at least in part on the estimated first-order multiple reflection signals.

A marine seismic streamer includes plural concentrators, plural segments interposed with the plural concentrators so that a concentrator of the plural concentrators is sandwiched between two segments of the plural segments, a first high-voltage rail HV1 that extends along the plural concentrators and the plural segments, and a second high-voltage rail HV2 that extends along the plural concentrators and the plural segments. In each given concentrator i of the plural concentrators, there is a first switch SW1 placed along one of the first high-voltage rail HV1 and the second high-voltage rail HV2, a second switch SW2 placed between the first high-voltage rail HV1 and the second high-voltage rail HV2, a first local controller implemented in hardware, and a second local controller implemented in a combination of hardware and software, and having an operating system, the first local controller being separated from the second local controller.

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 solid-state hydrophone may include a piezoelectric rod positioned between at least two electrodes. The piezoelectric rod may be disposed within a metallic housing to shield the piezoelectric rod and its connections from acoustic and electromagnetic waves. The piezoelectric rod and the electrodes may be potted in the mechanical housing using a potting material that may be positioned adjacent to the piezoelectric rod. At least a layer of the potting material may be positioned between the piezoelectric rod and the metallic housing to physically separate the piezoelectric rod from the metallic housing.

A method for enhancing properties of geophysical data with deep learning networks. Geophysical data may be acquired by positioning a source of sound waves at a chosen shot location, and measuring back-scattered energy generated by the source using receivers placed at selected locations. For example, seismic data may be collected using towed streamer acquisition in order to derive subsurface properties or to form images of the subsurface. However, towed streamer data may be deficient in one or more properties (e.g., at low frequencies). To compensate for the deficiencies, another survey (such as an Ocean Bottom Nodes (OBN) survey) may be sparsely acquired in order to train a neural network. The trained neural network may then be used to compensate for the towed streamer deficient properties, such as by using the trained neural network to extend the towed streamer data to the low frequencies.