A sensor package may include a sensor housing unit and a first sensor that may acquire a first set of measurements within a first measurement range. The sensor package may also include a second sensor configured to acquire a second set of measurements within a second measurement range. The first measurement range and the second measurement range may include an overlapping range used to calibrate the first set of measurements, the second set of measurements, or both.

A method includes receiving well log data comprising a plurality of well logs, identifying one or more sections of one or more well logs of the plurality of well logs that have substantially complete data, training a reconstruction neural network to reconstruct incomplete well logs based on the one or more sections of the one or more well logs that have substantially complete data, and reconstructing one or more incomplete well logs of the plurality of well logs using the reconstruction neural network.

A seismic attenuation quality factor Q is determined for seismic signals at intervals of subsurface formations between a seismic source at a marine level surface and one or more receivers of a well. Hydrophone and geophone data are obtained. A reference trace is generated from the hydrophone and geophone data. Vertical seismic profile (VSP) traces are received. First break picking of the VSP traces is performed. VSP data representing particle motion measured by a receiver of the well are generated. The reference trace is injected into the VSP data. A ratio of spectral amplitudes of a direct arrival event of the VSP data and the reference trace is determined. From the ratio, a quality factor Q is generated representing a time and depth compensated attenuation value of seismic signals between the seismic source at the marine level surface and the first receiver.

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.

Seismic node systems can be configured for acquiring seismic sensor data with an array of seismic receivers or nodes deployable in a survey area, each receiver or node having a seismic sensor for acquiring the seismic sensor data, a clock, a controller and local memory. The seismic sensor can data characterize a seismic wavefield proximate the seismic receivers in the survey area. Quality control data can be generated based on the seismic sensor data and associated timing information provided by the respective clock, and incorporated into a seismic data flow for recording in the local memory.

A method can include training a deep neural network to generate a trained deep neural network where the trained deep neural network represents functions of a nonlinear Kalman filter that represents a dynamic system of equipment and environment via an internal state vector of the dynamic system; generating a base internal state vector, that corresponds to a pre-defined operational procedure, using the trained deep neural network; receiving operation data from the equipment responsive to operation in the environment; generating an internal state vector using the operation data and the trained deep neural network; and comparing at least the internal state vector to at least the base internal state vector.

A method for automatically propagating a voltage along a marine seismic streamer, the method including detecting, at an ith concentrator of the streamer, a first voltage applied at a first high-voltage rail HV1; detecting, at the ith concentrator of the streamer, a second voltage applied at a second high-voltage rail HV2, the first and second high-voltage rails extend over the entire streamer; checking a predetermined condition at a first local controller of the ith concentrator; and closing a first switch SW1, which propagates the first high-voltage rail HV1, when the predetermined condition is satisfied.

A seismic detection line includes one or more identified element(s) arranged in a string, and a telemetry link connecting the element(s) along the string to convey seismic data from at least one of the element(s) to a data recorder and identification data to a topology controller. Each of the element(s) includes a respective first identification unit connected to the telemetry link to provide a respective first identifier to the topology controller. A seismic detection system also includes a processor that queries the identified element(s) for their respective identifiers, determines an arrangement of the seismic detection line using the received identifiers, and presents an indication of the determined arrangement. A method of operating a seismic detection line includes transmitting a query along the telemetry link, detecting whether the respective identifier of one of the element(s) was received or not, repeating until termination, and determining and indicating the arrangement.

A method is provided for managing a master vessel change in a multi-vessel seismic system. The system includes a master vessel M and at least one slave vessel. The method includes, during at least a part of a multi-vessel operation: selecting a new master vessel M′ among the at least one slave vessel, triggered by at least one predetermined event; and transmitting, to the at least one slave vessel, at least one piece of information related to a master vessel change from the master vessel M, called old master vessel, to the new master vessel M′.

In some embodiments, a method acquires acoustic data with a receiver. The acoustic data is provided by a down hole tool, comprising the receiver, that can move within a borehole in a geological formation. Quality control workflow charts, representing selected acoustic data related to the down hole tool, the geological formation, and/or the borehole can be displayed, transformation controlled, and analyzed on a monitor. The quality control workflow charts comprise the selected acoustic data and/or transformed versions of signal waveforms of the selected acoustic data.