A method may include obtaining an input gather regarding a geological region of interest. The method may further include obtaining parameterization data regarding a seismic processing operation. The parameterization data may correspond to a first set of process parameter values that are different from a second set of process parameter values that are used to generate the input gather. The method may further include generating a predicted output gather using a machine-learning model, the input gather, and the parameterization data. The machine-learning model may include an encoder model and a decoder model. The method may further include generating a seismic image of the geological region of interest using the predicted output gather.

A method for distributing geophones around a seismic data source includes distributing a first geophones each including a first piezoelectric system in a first region in which the seismic data source is located then distributing second geophones each including a solar cell in a second region surrounding the first region. The second geophones further include a housing, a spike provided on a bottom surface of the housing, a sensor configured to sense seismic data; a processor configured to process the seismic data, a transceiver configured to transmit the processed seismic data and receive radio frequency (RF) signals wirelessly; and a power device. The power device is coupled to the sensor, the processor and the transceiver. The power device is configured to harvest energy from an environment where the geophone is located. The power device includes a solar cell provided on a top surface of the housing, a piezoelectric system provided on an edge of the housing adjacent to the top surface, and a thermoelectric generator provided on a bottom surface of the housing and a surface of the spike.

A system, method, and devices for locating natural resources. Sensor measurements are captured at locations utilizing sensor instructions including at least an accelerometer. The sensor measurements are converted into digital data. A fast fourier transform is performed on the digital data. The natural resources are identified proximate the locations utilizing the digital data. Triangulation is performed for the nature resources that are identified. A report is generated showing predictions for the natural resources and triangulation data for the natural resources.

The application discloses an AI real-time microseism monitoring node, which includes a processor and a data acquisition device, an AI calculation device, and a communication device connected to the processor, wherein the AI calculation device is provided with pre-trained microseism data analysis Device, and the processor is configured to perform the following operations: controlling the data acquisition equipment to acquire microseism data; turning on the AI calculation device to calculate the acquired microseism data by means of the microseism data analysis device to determine the valid event data associated with the microseism; and sending the valid event data to the remote data center through the communication device.

A plurality of multifunctional underwater 3D displacement meters are arranged in a lattice and connected sequentially; four rotation shafts may be rotatably mounted in a housing and extend in a vertical direction, one end of the rotation shaft and the housing are connected to a compressible spring, four perforations penetrate the housing in a circumferential direction at intervals, the metallic lines correspond to the perforations one to one, one end of the metallic line is wound around the rotation shaft, and the other end thereof penetrates out of the perforation and is connected to the metallic line of the adjacent 3D displacement meter; and the displacement meter corresponds to the metallic line for measuring a take-up and pay-off length of the metallic line, and a three-axis acceleration sensor and a fluxgate monitor inclination angle change and azimuth angle change of the 3D displacement meter.

The invention relates to a measurement system, e.g. comprising a total station and an auxiliary measurement instrument in the form of a pole, and/or an auxiliary measurement instrument, e.g. a pole, and/or a method for determining positions in the field of geodesics or on construction sites, e.g. by means of a construction laser.

The present invention concerns a method for determining the optimum positioning of source-receiver pairs capable of acquiring seismic data, comprising: a first step of identifying a zone of interest having been the subject of an earlier seismic acquisition, in order to obtain an image of the subsoil of same; a second step of obtaining seismic data acquired during the earlier seismic acquisition of said zone of interest during a time of interest; a third step of applying a partial or total demigration of seismic data, in order to determine the positions of each source-receiver pair having contributed to the image of said subsoil of said zone of interest during said time of interest; a fourth step of obtaining unprocessed traces for said source-receiver pair positions; a fifth step of selecting at least one optimum unprocessed trace from among said unprocessed traces; and a sixth step of determining the source-receiver pair positions corresponding to said at least one optimum unprocessed trace.

Systems and methods are provided for generating a model for detection of seismic events. In this regard, one or more processors may receive from one or more stations located along an underwater optical route, one or more time series of polarization states of a detected light signal during a time period. The one or more processors may transform the one or more time series of polarization states into one or more spectrums in a frequency domain. Seismic activity data for the time period may be received by the one or more processors, where the seismic activity data include one or more seismic events detected in a region at least partially overlapping the underwater optical route. The one or more processors then generate a model for detecting seismic events based on the one or more spectrums and the seismic activity data.

A seismic observation device includes an input unit receiving input of time-series data of measurement values of a vibration, a processing target determination unit determining a time period of the time-series data that is a processing target, and a type determination unit acquiring a likelihood of classifying a cause of the vibration indicated in the time-series data in the time period into each of types of cause.

A seismic sensor assembly includes a sensor body; cable connectors operatively coupled to the sensor body; and a grounding clamp operatively coupled to the cable connectors. A lightning strike kit for a seismic sensor assembly can include the grounding clamp as an electrically conductive component for electrical coupling to a base and/or a spike of a seismic sensor assembly.