94results about "Seismology" patented technology

A method for building a 3D model of a reservoir includes defining a pre-sedimentation model comprising a bottom surface comprising a plurality of cells, and iterating a plurality of deposition modelling steps, including simulating deposition of a layer of sediments on the bottom surface or a previously-deposited layer of sediment, each layer corresponding to a determined period of time of sedimentation and comprising a plurality of cells, and computing petrophysical parameters associated to at least a cell of the generated layer. Simulating deposition of a layer of sediments includes introducing a plurality of particles within the model, simulating transport of the particles comprising moving a particle from one cell to another or depositing the particle, and generating a layer comprising a plurality of cells, each cell associated to a thickness of deposited particles. The petrophysical parameters are computed from mineral elements and sizes of the particles deposited in each cell.

A calibration system includes a test loop placed over one or more antennas of a logging tool, an integrated calibration transceiver, wherein the integrated calibration transceiver is disposed in an electronic chassis of the logging tool, and a port disposed in the logging tool and configured to receive a connector of the test loop to connect the test loop to the integrated calibration transceiver, wherein the integrated calibration transceiver is configured to generate a test signal to drive the test loop and receive the test signal from the test loop.

This invention relates to a synchronous timing warning method, device, storage medium, and electronic device. The method includes: setting up a timing device and a data processing host at the acquisition host; backing up the current seismic data file acquired by the acquisition host; obtaining the generation time of the current seismic data file based on the data header of the backed-up current seismic data file; triggering the data processing host to obtain the timing time from the timing device; calculating the timing difference between the generation time and the timing time; and determining whether a synchronous timing warning is needed based on the timing difference and the average timing difference. This can improve the quality of seismic data acquisition.

A method for detecting an event of collision on an outer shell of a robotic device is provided. The method includes detecting acoustic waves by a plurality of transducers mounted inside or outside the outer shell; estimating, by a processor, a position of collision on the outer shell by performing arrival time analysis on the acoustic waves detected by the plurality of transducers; determining, by the processor, an extent of collision based on intensities of the acoustic waves detected by the plurality of transducers; and performing non-destructive testing of the outer shell of the robotic device automatically after detecting the event of collision to determine a level of severity to the robotic device caused by the event of collision.

A multivariate time series prediction method for microseismic events in coal mining, based on a dual-flow structure, is disclosed. The method comprises the following steps: Step 1) preprocessing the microseismic monitoring data; Step 2) processing the microseismic monitoring data along the variable dimension; Step 3) processing the microseismic monitoring data along the time dimension; and Step 4) concatenating the prediction results from the variable module and the time module to obtain the prediction result. This invention significantly improves prediction accuracy and provides a reliable basis for safety prediction in mining operations.

The present application provides a kind of time interval rule experimental point position optimization method, system, electronic equipment and storage medium based on backtracking algorithm;It relates to the field of petroleum geophysical exploration acquisition.Method includes: obtaining initialization parameter set containing total length, each section distance upper limit and maximum point number threshold, and calculating boundary tolerance;Using incremental enumeration strategy to perform hierarchical search, determine the minimum minimum point number that meets the conditions;Using backtracking algorithm combined with depth-first strategy to traverse solution space, construct the test point set without repeated distance difference through pruning mechanism;Based on the constraint conditions such as distance difference uniqueness, segmentation number, key frequency band gap ratio and boundary tolerance, screen and construct effective solution set;Through the preset weighted scoring model, the effective solution is evaluated, and the optimal test layout scheme is output.The present application solves the problem of data redundancy caused by traditional experience layout, strictly controls the key frequency band gap ratio within the set threshold, and realizes the efficient balance of construction cost and seismic data resolution.

In an embodiment, input data (1) associated with a geological area and (2) including a plurality of types of input data is received. The input data is input into a multi-mode embedding encoder configured to generate an output (1) based on the input data, (2) representing a compressed version of the input data and (3) that is in a format compatible with a generative network. First random noise is generated. The output and the first random noise are input to the generative network to generate a first geological model. Second random noise different than the first random noise is generated. The second random noise, the output, and the first geological model is input to the generative network to generate a second geological model different than the first geological model.

An earthquake detection method is disclosed. The method comprises the following steps: receiving a first signal and at least a second signal, wherein the first signal is triggered in response to a first vibration state of a main detection site, and the at least a second signal is triggered in response to at least a second vibration state of at least a backup detection site; determining whether a quantity of those being enabled among the at least a second signal satisfies a quantity ratio condition, and determining whether the first signal and the quantity of the at least a second signal are both enabled at a specific time point, wherein the first and the quantity of the at least a second signals respectively have a first and at least a second initial enabled time points; and determining there is a real earthquake event when an interval between the first and the at least a second signal satisfies a time relationship.

A counter-swarm device comprises a mortar tube with an opening on one end, multiple streamers positioned in the mortar tube, a cone positioned below the multiple streamers in the mortar tube, the cone pointing towards the mortar-tube opening, a kick charge positioned below the cone. The cone is configured to disperse the multiple streamers upon discharge of the kick charge.

The application provides a seismic motion simulation method based on a stochastic finite fault model. The method comprises the following steps: determining an equivalent magnitude and an equivalent epicentral distance from different exceedance probability levels of a target area, determining geometric parameters of a fault model according to the equivalent magnitude, wherein the geometric parameters comprise a fault burial depth, a fault plane size and a number of sub-faults; dividing the fault plane into a plurality of sub-faults according to the number of sub-faults; calculating rupture propagation time and seismic wave propagation time of each sub-fault to an observation point by using a bilateral rupture mode; generating a seismic motion time history of each sub-fault by using the stochastic finite fault model; introducing a frequency attenuation factor and a path attenuation factor to correct the seismic motion time history; and superimposing corrected seismic motion time histories corresponding to all sub-faults to generate a seismic motion field of the target area. The technical scheme provided by the application realizes fine simulation of a fault rupture process based on a multi-probability scenario, and improves the physical rationality and spatial resolution of target area seismic motion field prediction.

A computer-implemented method for seismic processing includes receiving a seismic training input image, generating, using a first portion of a machine learning model, a first output based at least in part on the seismic training input image, generating, using a second portion of the machine learning model, a second output based at least in part on the seismic training input image, generating a loss function based at least in part on comparing at least two of the first output, a deterministic first label synthetically generated and representing a deterministic ground truth for the first output, the second output, and a non-deterministic second label representing a non-deterministic ground truth for the second output, and refining the first portion, the second portion, or both of the machine learning model based at least in part on the loss function.

This application discloses a lithofacies analysis system and method based on a shale geological-mechanical coupled lithofacies classification system, relating to the field of shale lithofacies analysis. The system construction module determines the geological-mechanical coupled lithofacies classification system based on information data from the data acquisition module; the prediction module determines single-well lithofacies prediction information; the feedback adjustment module adjusts the single-well lithofacies prediction information based on set rock mechanics and geostress parameter ranges to obtain adjusted information; the three-dimensional model construction module uses a genetic algorithm to perform seismic attribute embedding and integrated inversion based on seismic attribute data and adjusted information, and uses a co-kriging method to construct a three-dimensional model of well-seismic co-modeling of geological-mechanical coupled lithofacies; the parameter model determination module uses a layer-control-facies dual-control method to control constraints and determine the heterogeneity of the geological-mechanical characteristics of shale layers in three-dimensional space, providing a basis for establishing production areas for the exploration and development of artificial oil and gas reservoirs.

The application discloses a signal acquisition positioning system for buried PE pipeline, and relates to the technical field of pipeline detection. The application comprises the following steps: obtaining vibration sound wave signals generated by the excited buried PE pipeline; synchronously collecting vibration response signals of the ground soil through a plurality of acceleration sensors arranged along the pipeline direction; distinguishing normal pipe sections from complex pipe sections through resonance frequency distribution; extracting time delay characteristics among multi-channel signals, combining elliptic geometric constraints to invert the pipeline burial depth; and realizing the visual imaging of the pipeline direction. The application effectively distinguishes complex structures such as T-shaped pipes, elbows, reducers and valves through resonance frequency distribution characteristics, fills the technical blank that traditional methods can only detect straight pipe sections, significantly suppresses local environmental noise, and improves the positioning robustness under complex geological conditions; and through the construction of a pipeline three-dimensional curved surface model through a column coordinate system and a translation coordinate system parameter equation, the intuitive imaging of the pipeline direction, burial depth change and complex structure is realized.

It is disclosed a method for building a 3D model of a reservoir, comprising: -defining a pre-sedimentation model comprising a bottom surface comprising a plurality of cells, and -iterating, a plurality of deposition modelling steps, including: ͦ simulating deposition of a layer of sediments on the bottom surface or a previously deposited layer of sediment, each layer corresponding to a determined period of time of sedimentation and comprising a plurality of cells, and ͦ computing petrophysical parameters associated to at least a cell of the generated layer, wherein simulating deposition of a layer of sediments comprises: ͦ Introducing a plurality of particles within the model, each particle being associated to a mineral element and a size, ͦ simulating transport of the introduced particles, the transport of a particle comprising moving the particle from one cell to another or depositing the particle, and ͦ generating, on the bottom surface or on a previously deposited layer of sediments, a layer comprising a plurality of cells where each cell is associated to a thickness of deposited particles, and wherein the petrophysical parameters associated to each cell of the generated layer are computed from the mineral elements and sizes of the particles deposited in each cell.

This invention provides a seismic intensity estimation system that can improve the accuracy of estimation when estimating the seismic intensity class based on the acceleration waveform obtained by the acceleration sensor of a smart device, while the smart device is placed on a stand on the floor. [Solution] The seismic intensity estimation system 1 includes: an acceleration waveform collection unit 23 that collects acceleration waveforms from each of a plurality of smart devices 10 during an earthquake; an acceleration waveform adjustment unit 24 that rotates the acceleration waveforms of the plurality of smart devices 10 so that their orientations in the horizontal plane coincide with each other to generate orientation-adjusted acceleration waveforms; a frame vibration characteristic derivation unit 25 that derives the vibration characteristics of at least one frame based on the orientation-adjusted acceleration waveforms of at least one pair of smart devices 10; and a floor seismic intensity class estimation unit 26 that derives the Fourier spectrum of the floor based on the acceleration waveform on the frame and the vibration characteristics of the frame to estimate the seismic intensity class of the floor.

The application discloses a self-adaptive tension-adjusting damping type towed array force bearing assembly, which is used for independently and self-adaptively controlling the tension of each pull rope in a towed array, wherein one end of a joint body is provided with a front end cover, a plurality of cavities are symmetrically and uniformly formed on the end face of the other end of the joint body, an installation groove is formed on the cavities along the radial direction of the joint body and outward, a first installation hole is formed in the installation groove along the axial direction and inward, a first elastic mechanism, a second elastic mechanism and a ratchet gear mechanism are installed in the cavities from inside to outside, the ratchet gear mechanism is installed on the joint body through the installation groove and the first installation hole, the pull rope passes through the ratchet gear mechanism, the second elastic mechanism and the first elastic mechanism and is connected with the first elastic mechanism, a rear end cover mechanism is installed on the joint body and located at the end part close to the ratchet gear mechanism and limits the ratchet gear mechanism, and the two joint bodies are connected with two sleeves respectively, the two joint bodies and the pull ropes connected with the two ends of the two joint bodies are sleeved to form a cable.

This application relates to the field of offshore wind power safety monitoring technology, and discloses an earthquake early warning system based on the CZ1 Huaneng offshore wind power plant. The system includes dual-channel sensing units deployed at wind turbine nodes. Each sensing unit is configured to monitor T-wave disturbances in parallel through an active TDR detection channel and a passive harmonic sensing channel. A central early warning unit is configured to receive trigger signals and perform dual verification. First, the central early warning unit performs cross-channel coherence verification, requiring signals from the two channels from the same sensing unit to be triggered synchronously within a preset time window to filter out incoherent noise. Second, the central early warning unit performs array spatiotemporal coherence verification on verified credible events, fitting their spatiotemporal distribution to a wavefront propagation model to eliminate spatially incoherent local interference. This invention, through dual-channel orthogonal sensing and dual spatiotemporal coherence verification, eliminates interference at both the single-point and array levels, reduces the false alarm rate, and improves the reliability of early warning.

This invention discloses a seismic-resistant and long-term power supply installation structure for a sensor used in monitoring underground pipelines of a converter station. Belonging to the field of sensor installation and fixing technology, it includes a first sensor fixing assembly for fixing to the pipeline and a second sensor fixing assembly for fixing to a manhole cover. The first sensor fixing assembly includes a first housing, a temperature sensor disposed within the first housing, a heat-conducting medium, and a first fixing device. This invention employs a dual mechanical fixing structure of clamp insertion and nylon cable ties, combined with a composite vibration-resistant design of screw fastening and epoxy resin adhesive bonding of the second sensor fixing assembly. These structures are suitable for both pipeline and manhole cover installation scenarios, effectively resisting the risk of loosening caused by converter station equipment vibration, ensuring long-term stable contact between the sensor and the measured object, avoiding installation failure due to vibration, and the cable ties effectively preventing misalignment, further improving installation stability.

To provide a technology enabling more accurate underground monitoring.SOLUTION: An earthquake survey method includes a vibration generation step of allowing a seismic center device 10 arranged underground to generate vibration, and an acquisition step of allowing a signal acquisition device 20 to acquire a vibration signal based on vibration generated by the seismic center device 10. The seismic center device 10 includes eccentric rotors 170, 180 that rotate around a rotation shaft, and a drive unit 160 that rotates the rotors to generate vibration.SELECTED DRAWING: Figure 3

A method includes transmitting the hybrid timing signal, via a master clock, to the local clock of the tool, wherein the hybrid timing signal comprises one or more wide-band signal sections and one or more narrowband signal sections. The method also includes calculating an initial clock offset between the local clock of the tool and the master clock, based on a difference in the time of arrival and the hybrid timing signal at the local clock and a time of transmission of the hybrid timing signal and synchronizing the tool based on the initial clock offset.

A method includes receiving baseline data representing an area corresponding to a first time, receiving first measurement data representing a first portion of the area corresponding to a second time subsequent to the first time, training a machine learning model to reduce an influence of a non-repeatability factor based on a combination of the baseline data and the first measurement data, receiving second measurement data representing a second portion of the area corresponding to the second time, the second portion of the area including a feature of interest that was not present at the first time or that has changed between the first and second times, and modifying the second measurement data using the machine learning model to remove the non-repeatability factor in the second measurement data.

A method may include determining various adaptive weights using a machine-learning model, first simulation data, and second simulation data. The method may further include determining predicted simulation data for a time step of the reservoir simulation using the adaptive weights, the first simulation data, the second simulation data, grid model data, and various reservoir simulation parameters. The method may further include determining whether the predicted simulation data satisfies a predetermined criterion. The method may further include determining, in response to determining that the predicted simulation data fails to satisfy the predetermined criterion, updated simulation data for the time step of the reservoir simulation based on the predicted simulation data, the grid model data, the reservoir simulation parameters, a search method, and the reservoir equations.

The disclosure focuses on using a boundary identification system to actively determine borders and boundaries in subsurface geological features, such as reservoirs. In various implementations, the boundary identification system uses an ensemble image model leveraging multiple image-to-image machine-learning models to efficiently and accurately generate reservoir boundaries from inversion result profiles and images. In many instances, the boundary identification system generates reservoir boundaries from inversion results in real-time. Additionally, in some instances, the boundary identification system further improves the accuracy of the ensemble image model by diversifying the inputs and using ensembling on the individual model outputs during inference.

An electroseismic integrated monitoring method comprises: transmitting a current signal including at least one of: a multi-frequency current signal or a single-frequency current signal, the frequency of the current signal being determined according to a proppant, and the proppant performs telescopic vibration under excitation of the current signal at a predetermined frequency. An acoustic wave signal received by a seismic sensor. The acoustic wave signal is an acoustic wave signal generated for the current signal to excite the proppants to perform telescopic vibration. A vibration position of the proppant at a fracturing layer is determined according to the acoustic wave signal. The vibration position is used to determine a basis for propped fracture characteristics. An electrostrictive material is used as the proppant, so that the position of the proppant can be monitored by means of microseism.

This invention relates to a trajectory recognition method based on distributed acoustic sensing, belonging to the field of vehicle trajectory recognition technology. The trajectory recognition method based on distributed acoustic sensing utilizes a distributed acoustic sensing system to achieve high-precision quantitative measurement of external mechanical disturbances by demodulating the phase change of Rayleigh backscattered light. Its unique feature lies in that the trajectory recognition method includes the following steps: Step 1, acquiring low SNR vibration signals collected by the DAS system within a unit acquisition time; Step 2, in VTR Net, employing the Global-Local Feature Collaborative Modeling Mechanism (GL-FCM) and the Multi-Resolution Attention Feature Map Recovery Architecture (AG-FMR); Step 3, using the CEH-FA model robustness enhancement method for vehicle trajectory recognition to identify and finally output the vehicle trajectory.

The application discloses a kind of suitable for shield loading acoustic wave detection device and detection method, comprising: install on the acoustic wave detector of shield machine cutterhead, for with face of working, acoustic wave signal is emitted to face of working, and acoustic wave signal reflected by face of working is received;Pressure acquisition device is installed on acoustic wave detector, for obtaining the pressure of different positions of acoustic wave detector when acoustic wave detector is attached to face of working;Controller is used to control cutterhead rotation when the difference between the pressure of different positions of acoustic wave detector is greater than the set threshold value, adjust the attachment position of acoustic wave detector and face of working, until the difference between the pressure of different positions of acoustic wave detector when acoustic wave detector is attached to face of working after adjustment is less than or equal to the set threshold value.The attachment position of acoustic wave detector and face of working can be adjusted, the effective attachment of acoustic wave detector and face of working is guaranteed, and the accuracy of geological advanced prediction result is guaranteed.

A sensor pod for attaching a sensor to a subsea cable comprises: an attachment node configured to provide a connection between a sensor and a subsea cable; and a sensor module configured for connection with at least one sensor; wherein the attachment node is connected to the sensor module via at least one fibre optic cable; and wherein the sensor pod is arranged to be connected in-line with a subsea cable.

A monitoring system according to the present invention comprises: n (n is an integer of not less than 3) oscillation sensors that are disposed so as not to be aligned on one straight line; and an information processing device configured to execute information processing based on oscillation waveform data which has been acquired by the n oscillation sensors. The information processing device includes a position estimation unit that estimates positional information of an oscillation source of the oscillation waveform data on the basis of respective pieces of the oscillation waveform data which have been acquired by the n oscillation sensors and respective pieces of positional information of the n oscillation sensors.