G01V1/003

TRAINING DATA FOR MACHINE LEARNING SEISMIC INVERSION

Well data (e.g., well log) may be divided into multiple segments, and different samplings of data in the individual segments may be performed to increase the amount of data that is used to train a seismic inversion model. Synthetic well data may be generated from real well data to increase the amount of well data from which sampling is performed.

Method for obtaining estimates of a model parameter so as to characterise the evolution of a subsurface volume over a time period using time-lapse seismic

Disclosed is a method and associated computer program and apparatus for characterising changes within a subsurface volume between a first time and a second time. The method comprises obtaining first seismic data corresponding to the first time and processing this data to obtain a seismic image of the subsurface volume. This processing is reversed for relevant portions of the seismic image to obtain relevant portions of first seismic data. Changes within the subsurface volume between the first time and the second time are characterised by estimating the changes between second seismic data corresponding to the second time and the relevant portions of first seismic data.

Timing alignment method for data acquired by monitoring units of borehole-surface micro-seismic monitoring system

A timing alignment method for data acquired by monitoring units of a borehole-surface micro-seismic monitoring system includes acquiring two rock-burst waveform data segments with GPS timestamps; calculating a time difference and a number of sampling points between each pair of adjacent GPS timestamps; adding, on an equal-interval basis, a sampling time to a sampling point missing a timestamp between each pair of adjacent GPS timestamps; calculating average sampling frequencies of the two rock-burst waveform data segments, adding, on an equal-interval basis, a sampling time to a sampling point missing a timestamp except first and last GPS timestamps in each of the two data segments; obtaining sampling times of all sampling points, resampling the sampling times according to a uniform sampling frequency; calculating a rock-burst waveform data segment at a new sampling time with a linear interpolation formula, and aligning the sampling times of the two rock-burst waveform data segments.

Method and system for electromagnetic method (EM) signal detection based on onshore sparker source

A method and system for electromagnetic method (EM) signal detection based on an onshore sparker source, the method including: arranging an EM signal detection system near a sparker source; releasing, by the sparker source, an electromagnetic pulse concomitantly in a discharge and mechanical energy output process; observing an electromagnetic response generated by the earth under the excitation of the electromagnetic pulse by means of the EM signal detection system for extracting distribution information of geo-electrical parameters; when the sparker source moves, moving the electromagnetic method signal detection system to a new position along with the sparker source while keeping their positions relative to each other unchanged; and repeating the above process after the movement is completed. According to the technical solution of the present invention, fine electromagnetic detection results can be obtained while seismic detection is carried out.

Electroformed nickel-chromium alloy

An article comprising a turbine component formed of a nickel-chromium (Ni—Cr) alloy including from 2 to 50 wt % chromium balanced by nickel is disclosed. The Ni—Cr alloy is thicker than at least 125 μm to make a self-supporting turbine component, and the turbine component includes a rotor blade, a stator, or a vane. The Ni—Cr alloy is electroformed on a mandrel by providing an external supply of current to an anode and a cathode in a plating bath containing a solvent, a surfactant, and an ionic liquid including choline chloride, nickel chloride, and chromium chloride.

Systems And Methods For Detecting Mechanical Disturbances Using Underwater Optical Cables

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.

SYSTEM AND METHOD FOR SEISMICALLY TRIGGERED INTRUSION DETECTION

The invention disclosed provides a network of master controller and node arrays which all communicate with a system server, a client device and an administrator device. Each of the master controller and node arrays is equipped with an ERT system, and various seismic sensors to monitor a geographic perimeter for surface and sub-surface trigger events. Upon detection of a trigger event, each of the master controller and node arrays executes a sensor monitoring routine to determine the approximate path of travel, velocity, acceleration of the trigger event. The master controller and node arrays further conduct an ERT survey to determine the presence of anomalies which may indicate sub-surface activity related to the trigger event.

Synthetic subterranean source

This disclosure describes a system and method for generating images and location data of a subsurface object using existing infrastructure as a source. Many infrastructure objects (e.g., pipes, cables, conduits, wells, foundation structures) are constructed of rigid materials and have a known shape and location. Additionally these infrastructure objects can have exposed portions that are above or near the surface and readily accessible. A signal generator can be affixed to the exposed portion of the infrastructure object, which induces acoustic energy, or vibrations in the object. The object with affixed signal generator can then be used as a source in performing a subsurface imaging of subsurface objects, which are not exposed.

System and method for acoustically detecting cross bores
11747496 · 2023-09-05 · ·

An assembly and method for detecting cross bores involving a sewer system and a gas pipe includes an acoustic generator placed within an interior of the sewer system and an acoustic receiver placed either within an interior of the gas pipe or in proximity to an end of the gas pipe. The acoustic generator generates an acoustic signal to transmit through the interior of a sewer pipe of the sewer system. A controller detects, in response to the acoustic receiver hearing the acoustic signal, a cross bore involving the sewer pipe and the gas pipe. A microphone may be placed within the interior of the sewer system at a location remote from the acoustic generator. In this case, the controller determines, in response to the acoustic receiver not hearing the acoustic signal and the microphone hearing the acoustic signal, that a cross bore involving the sewer pipe and the gas pipe is absent.

Satellite-enabled node for ambient noise tomography
20230280488 · 2023-09-07 ·

Embodiments relate to data acquisition units or nodes and more specifically to seismic data acquisition units or nodes for use in data gathering for ambient noise tomography (ANT). Some embodiments relate to a method for data acquisition, and systems employing one or more data acquisition units. Some embodiments relate to systems comprising one or more satellites in communication with one or more data acquisition units for communication to a remote server, for remote storage, and processing for creating sub-surface tomography images accessible to client devices.