249 results about "Seismic survey" patented technology

The invention discloses a geophysical prospecting system and method for seismic survey. The system comprises a seismic source and receiving point laying module, a data acquisition module, a data processing module, a three-dimensional imaging module, a data interpretation module, a comprehensive analysis module, auxiliary equipment and an early warning module. The data processing module comprises a preprocessing module, a speed analysis superposition processing module and an offset processing module. According to the invention, data with high quality, signal-to-noise ratio and accuracy can be obtained by adding the density of the receiving points and combining the speed analysis superposition processing module to carry out superposition correction processing on the data, and meanwhile, by combining the reverse time migration technology, an underground structure can be accurately recovered, the imaging quality is improved, the subsequent interpretation and analysis work of personnel is facilitated, and the working efficiency is improved. The exploration accuracy is improved, and personnel can more accurately reveal the underground geologic structure conveniently.

The invention discloses a coal seam passive source seismic survey system and method based on deep learning, and relates to the technical field of coal mining safety monitoring and early warning, and the method comprises the following steps: S1, collecting the passive source seismic data of a coal seam area; s2, deep fusion features are extracted; s3, constructing a semi-supervised self-attention prediction network model; s4, extracting coal seam structure prediction parameters; s5, the corrected coal seam structure parameters are extracted; s6, constructing a fast seismic wave forward model, and calculating and outputting an initial model of the coal seam underground structure; s7, constructing a Transform optimization network, and extracting a depth feature vector; and S8, constructing a coal seam structure inversion model, and training iteration by using the improved batch depth Bayesian optimization algorithm. The method overcomes the limitation of manual analysis and slow response in a traditional coal seam seismic survey method, and provides an efficient and accurate solution for safe production of a coal mine.

A method can include receiving continuous source seismic data from a marine seismic survey of a geologic region; breaking up the continuous source seismic data into portions; performing a simulation for each of the portions to generate simulated seismic data; and generating an image of the geologic region using the portions of the continuous source seismic data and the simulated seismic data.

A method can include receiving seismic data of a seismic survey of a subsurface region; performing a full waveform inversion using the seismic data and a model of the subsurface region to determine one or more characteristics of the subsurface region, where the model of the subsurface region includes one or more angle-dependent model parameters; and outputting the one or more characteristics of the subsurface region.

The present invention discloses a method and system for detecting thin coal seams based on the attenuation of the period amplitude of refracted waves, including: S1 Instrument layout: The seismic survey line consists of S excitation points and R receiving points; the total number of seismic data d i (t) is formed through signal acquisition and data transmission between the excitation points and the receiving points; S2 Obtaining formation data and calculating the refracted wave period: Obtaining the longitudinal wave velocity v r of the surrounding rock and the longitudinal wave velocity v c of the coal seam, measuring the thickness h of the coal seam exposed in the roadway on the sidewall of the roadway, and calculating the refracted wave period T; S3 Processing d i (t) to obtain the seismic data s i (t) after deconvolution and in-trace equalization; obtaining the amplitude ratio of the seismic data s i (t) to the reference trace s0(t) at the n p th order as the refracted wave period amplitude coefficient a p of point P, and the numerical value of a p reflects the thickness of the coal seam at point P. The refracted wave of the coal seam used in the present invention is another underground seismic wave generated simultaneously with the trough wave. Using the refracted wave can more accurately interpret the boundary of the thin coal seam, improving the coal mining work efficiency and resource utilization rate.

The invention provides a tunnel arch wall detection device and method, relates to the field of seismic survey, and aims to solve the problem that seismic survey elements are inconvenient to arrange in a tunnel at present, a loading assembly is carried by an unmanned aerial vehicle, a rod type structure is utilized to adapt to the tunnel space, and the arrangement problem of equipment in a narrow space is solved. Geophones of the wave detection assembly can be firmly pasted on the tunnel arch wall after being glued through a gluing structure, the arrangement accuracy and reliability are improved, the shock excitation assembly is directly installed on the loading assembly, the unmanned aerial vehicle is used for driving the shock excitation assembly to adjust the position to reach the needed shock excitation position, it is ensured that seismic waves can accurately act on the tunnel arch wall, and the shock excitation efficiency is improved. And the detection precision is improved.

The invention provides a seismic survey instrument for detecting underground geological structures, which belongs to the technical field of geological prospecting, and comprises a frame, a battery box mounted in the top end of the frame, a push plate mounted at the bottom end of a spring buffer, and a signal transmitter mounted on one side in the push plate, the leveling structure comprises a connecting arm rotationally connected to one side of the interior of the frame, a scraping plate fixed to one side of the interior of the housing and a transmission assembly arranged on one side of the housing. According to the ground leveling device, a driving motor is started to drive a rotating shaft to rotate, a scraper conducts leveling operation on the ground, the leveling depth is adjusted through stretching of a second electric push rod, and therefore the ground leveling function of the device is achieved, it is guaranteed that the device is in a horizontal state, and a detection unit is tightly attached to the ground; interference of external factors on observation data of the device is reduced, effective receiving and transmission of signals are ensured, and the reliability of survey results is improved.

The invention provides a processing method using two-dimensional time-frequency electromagnetic data. The processing method comprises the following steps: obtaining collected time domain electric field data of a measuring point on a measuring line, and carrying out de-noising processing to obtain a time domain electric field database after de-noising correction; obtaining a measuring point frequency domain electric field amplitude and phase database on the acquisition measuring line based on Fourier transform; obtaining frequency domain-apparent resistivity data based on the whole-area apparent resistivity definition; carrying out three-dimensional fine processing on the original data by utilizing the electrical information; carrying out time-frequency electromagnetic three-dimensional inversion; the depth domain-resistivity data obtained through time-frequency electromagnetic three-dimensional inversion are analyzed and processed; extracting a time-frequency electromagnetic three-dimensional inversion depth domain-resistivity result of a corresponding seismic survey line coordinate; and carrying out comprehensive geological interpretation application in combination with seismic data. The method for carrying out three-dimensional processing, three-dimensional inversion and application on the two-dimensional time-frequency electromagnetic data is realized, and the inversion precision and accuracy of the two-dimensional time-frequency electromagnetic data are improved.

The invention relates to a near-surface longitudinal wave velocity modeling method and device based on micro-motion exploration, and the method comprises the steps: obtaining a surface survey-based ground geological map of a target work area, and correcting a geological boundary of the surface survey-based ground geological map; according to stratum, fault and stratum occurrence information provided by the corrected ground geological map, a geological cross section is drawn along a seismic survey line, and a shallow ground structure model of the target work area is obtained; obtaining the shallow surface shear wave velocity of each preset measuring point in the target work area, and converting the shallow surface shear wave velocity of each preset measuring point into a longitudinal wave velocity; with the shallow ground structure model as a constraint, spatial interpolation is carried out on the longitudinal wave velocity of each preset measuring point to obtain a near-surface longitudinal wave velocity model based on the shallow ground structure model and a shallow velocity field based on the shallow ground structure model, the inversion velocity is close to the stratum velocity, and the precision is high; and a good near-surface longitudinal wave velocity model is provided for subsequent pre-stack depth migration.

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 method for monitoring subterranean hydrocarbon storage sites includes simulating a seismic experiment using a baseline model. The method also includes perturbing the baseline model to produce one or more perturbed baseline models. The method also includes selecting a plurality of candidate acquisition geometries to probe the one or more perturbed baseline models. The method also includes extracting a set of simulated data from the simulated seismic experiment that corresponds to the plurality of candidate acquisition geometries. The method also includes executing a model probing exercise for the extracted set of simulated data for each candidate acquisition geometry and each of the one or more perturbed baseline models.

The invention provides a crustal stress prediction method and device, electronic equipment and a storage medium, and relates to the technical field of seismic survey. The method comprises the following steps: obtaining observation seismic data of seismic wavelets in a strong VTI medium, and constructing a to-be-inverted parameter matrix based on a PP wave reflection coefficient corresponding to the strong VTI medium; constructing a posterior probability function obeyed by an inversion parameter matrix corresponding to the to-be-inverted parameter matrix based on a Bayesian inversion theory and observation seismic data, and determining a target functional based on a prior probability function and a likelihood function corresponding to the posterior probability function; determining medium density and each stiffness matrix coefficient based on an inversion parameter matrix solving result of the target functional, and determining a flexibility matrix of the strong VTI medium based on each stiffness matrix coefficient; and predicting the ground stress distribution of the target profile in the strong VTI medium based on the medium density and the positive strain matrix and the flexibility matrix corresponding to the strong VTI. Therefore, the crustal stress prediction accuracy under the strong VTI medium is improved.

A method and system for forming a seismic image of a subterranean region are disclosed. The method includes determining an initial plan for a seismic survey with a value for each member of a set of acquisition parameters and acquiring a first seismic dataset from a first portion of the seismic survey based on the initial plan. The method further includes transmitting the first seismic dataset to a seismic processor, determining a first seismic image from the first seismic dataset by performing expedited seismic processing and determining a first updated plan for the seismic survey based on the first seismic image and acquiring a second seismic dataset from a second portion of the seismic survey based on the first updated plan. The method still further includes transmitting the second seismic dataset to the seismic processor and determining the seismic based on the first seismic dataset and the second seismic dataset.

The present disclosure relates to a reverse-time migration method for marine vertical cable seismic (VCS) survey data and provides a reverse-time migration apparatus and method for vertical cable seismic (VCS) survey data using directional propagation of receiver wavefields, configured to perform equation-of-motion-based transform and inverse-transform processing on observed pressure wavefields during back-propagation of receiver wavefields to solve the problem of reflection boundary screening due to long-wavelength artifacts and avoid up / down wavefield separation to thereby simplify a migration process and improve overall quality of migration images.

A method is provided of designing seismic surveys for a geographical area using controlled randomization. The method comprises the steps of selecting the geographical area to be surveyed; determining placement for one or more control areas, wherein each control area comprises a plurality of stations, within the geographical area; applying a randomization algorithm to each of the one or more control areas; creating a Fresnel fold map of the geographical area; and applying a relative standard deviation algorithm to the Fresnel fold map to confirm if the randomization algorithm has created an even distribution of data.

A method can include generating a visual group of datasets; receiving a visualization mesh that intersects at least two of the datasets; executing a shader using graphics hardware to generate values for the visualization mesh, where the values depend on data within at least one of the at least two datasets; and rendering a visualization to a display using the values.

Systems and methods for drilling a hydrocarbon well in a subterranean formation based on channel thicknesses are configured for receiving seismic data for the subterranean formation; extracting values for seismic attributes from the seismic data; executing a machine learning model trained using synthetic seismic attribute values that are associated with true values of channel thicknesses for synthetic channels, the machine learning model receiving the extracted values for the seismic attributes as input values; generating, based on the executing, at least one predicted value of a channel thickness for a channel in the subterranean formation; generating, based on the at least one predicted value of the channel thickness for the channel, a map of the subterranean formation including the channel.

A collaboration platform configured to provide seismic data products and / or seismic data services using seismic sensor units is disclosed, particularly for marine seismic data products and / or seismic data services which use ocean bottom nodes to obtain seismic data. One example of the collaboration platform comprises a host or distributed hosts having one or more modules configured to receive a request for a seismic data product or seismic data service, one or more modules configured to process the received request to identify one or more workflow components comprising one or more configurable functional building blocks for executing a seismic survey or part of a seismic survey to fulfil the request using the seismic sensor units, one or more modules configured to determine one or more configuration parameters for configuring the one or more configurable functional building blocks of at least one identified workflow, one or more modules configured to generate a workflow for the requested seismic data product or seismic data service by configuring the identified building blocks using the determined configuration parameters, and one or more modules configured to execute the work-flow, wherein execution of the workflow includes retrieving data from one or more data sources including the seismic sensors, wherein execution of the workflow generates the requested seismic data product or seismic data service.

The invention discloses a method and a device for inverting a high-order frequency dispersion curve of a seafloor node Schelt wave. The method comprises the following steps: determining the distance between reference points according to seismic data arrangement information, and setting a plurality of reference points on a target section where a seismic survey line is located; according to the maximum offset distance and the minimum offset distance, common receiving point sub-gathers are screened from a common receiving point Schelt channel set of each seabed node, sub-gathers are intercepted from the common receiving point sub-gathers according to the reference point position information and the maximum distance, and the sub-gathers with the length not smaller than the minimum length form the gathers of the reference points; determining a frequency dispersion energy spectrum of each sub-gather in the reference point gather to obtain a superposed frequency dispersion energy spectrum of the reference point; and picking up a high-order frequency dispersion curve by superposing a frequency dispersion energy spectrum, and carrying out seismic inversion modeling. According to the method, through screening of available trace gathers of reference points and determination and superposition of frequency dispersion energy spectrums, an energy-enhanced superposed frequency dispersion energy spectrum is obtained, so that high-resolution seismic modeling can be realized based on extracted high-order frequency dispersion curve inversion.

A system and method for designing a seismic survey including selecting a seismic survey grid as a basis for a seismic survey design and looping through the steps of generating off-the-grid locations by imposing spatial or temporal constraints on on-the-grid locations, mapping the off-the-grid locations from a physical domain to a pre-selected domain by applying a multidimensional transform to the off-the-grid locations, mapping the pre-selected domain to a rank-revealing domain using a pre-selected operator, applying a pre-selected process to minimize a rank of the off-the-grid locations in the pre-selected domain, and updating the seismic survey design based on which of the off-the-grid locations has the minimum rank until a pre-selected threshold is met indicating an optimal seismic survey design. The system and method include acquiring seismic data using the optimal seismic survey design, and enabling performing a wellsite action based at least on the seismic data.

In survey configurations for towed streamer shallow target investigations, seismic sources are placed in one or more of several zones disposed at different inline offsets relative to the streamers. In some embodiments, a vessel tows a set of one or more streamers along with a set of one or more sources disposed aft of the tail end of the streamers. In other embodiments, a vessel tows a set of one or more streamers, a set of one or more near offset sources disposed forward of the front end of the streamers, and a set of one or more far offset sources disposed forward of the near offset sources.

The invention discloses a multiple sample library construction method, system and device and a storage medium, and the method comprises the steps: obtaining the ocean stratum data of a target sea area, and determining an ocean stratified geologic model comprising a seawater layer geologic model according to the ocean stratum data; obtaining forward modeling data; the forward modeling data is obtained according to a preset forward modeling observation system; based on a preset boundary condition, respectively inputting the forward modeling data into an ocean stratified geologic model and a seawater layer geologic model for calculation to obtain first seismic record data and second seismic record data; performing calculation based on the first seismic record data and the second seismic record data, and determining a multiple wave sample data set; and performing sample augmentation and normalization processing based on the multiple wave sample data set, and determining a multiple wave sample library of the target sea area. According to the embodiment of the invention, the overall accuracy of the constructed free surface multiple sample library can be improved, and the method can be widely applied to the technical field of seismic survey.

A computer-implemented method includes: accessing ground-force signal traces measured at each source location when applying a pilot sweep signal characterized by a sweeping instantaneous frequency that includes a fundamental component, wherein each ground-force signal trace comprises a fundamental mode signal component as well as at least one harmonic mode signal component; obtaining an analytic function representation for the pilot sweep signal and each ground-force signal trace, wherein the analytic function representation comprises a phase portion; establishing a matrix representation characteristic of the phase portion of the analytic function representation for the fundamental component in the ground-force signal, and wherein the matrix representation is size limited; retrieving, from the analytic function representation for each ground-force signal trace and after inverting the matrix representation, the fundamental mode signal component of the ground-force signal trace; and providing the retrieved fundamental mode signal component of each ground-force signal trace for subsequent data processing.

The invention discloses a rapid comprehensive survey method and system for natural hydrogen resources, and the method comprises the steps: rapidly delineating a prospective area through remote sensing and geochemical measurement, fusing aviation gravity and magnetism, earthquake, time-frequency electromagnetism and ground geological survey multi-source data, finding out the characteristics of hydrogen source rock, a migration channel, a reservoir stratum and a cover stratum through the integrated evaluation of source-communication-storage-cover, and carrying out the comprehensive survey of the natural hydrogen resources. A target area is optimized through multi-information fusion, drilling verification is carried out, and efficient exploration of natural hydrogen resources is achieved. According to the method, the potential of the natural hydrogen resource can be rapidly and accurately evaluated.

System and method for designing dithers having a pre-determined distribution within a dithers range, wherein the dithers range is chosen for the seismic survey, wherein a lower boundary of the dithers range is 4 seconds or +2 seconds dithers distribution relative to nominal shotting times of sources of seismic waves in the seismic survey, and wherein an upper boundary of the dithers range is a largest value compatible with constraints of the seismic survey.

Systems and methods for building a near surface velocity model for a subsurface formation include obtaining seismic data representing a subsurface formation; forming seismic gathers based on the seismic data; and determining uphole vertical velocities for the subsurface formation based on uphole seismic survey data. A training dataset is formed including input features that include a subset of the seismic gathers and labeled output data that includes the uphole vertical velocities corresponding to the subset of seismic gathers. A machine learning model is trained using the training dataset; and a near surface velocity model is generated for the subsurface formation using the machine learning model that takes as input the seismic gathers.

A method for designing a seismic survey including (a) selecting a seismic survey grid as a basis for a seismic survey design, (b) generating off-the-grid locations by imposing spatial / temporal constraints on on-the-grid locations of the seismic survey grid, (c) mapping the off-the-grid locations from a physical domain to a pre-selected domain by applying a multidimensional transform to the off-the-grid locations, (d) mapping the pre-selected domain to a rank-revealing domain using a pre-selected operator, (e) applying a pre-selected process to minimize a rank of the off-the-grid locations in the pre-selected domain, (f) updating the seismic survey design based on which of the off-the-grid locations has the minimum rank, (g) repeating steps (b)-(f) for a number of iterations until a pre-selected threshold is met indicating an optimal seismic survey design, and (h) acquiring seismic data using the optimal seismic survey design.

System and method operable to estimate directional gradients of a seismic wavefield from seismic data from a seismic survey. The operations include receiving the seismic data describing the seismic wavefield, estimating the directional gradients, from the seismic data, of the seismic wavefield along one or more directions, using the seismic wavefield and the directional gradients to perform an action, creating interpolated data using the seismic wavefield and the directional gradients for interpolation, identifying a subset of the interpolated data based on pre-selected criteria, determining residual data based on a difference between the subset and the seismic wavefield, estimating the directional gradients from the residual data, and displaying the directional gradients.

A method is provided of designing seismic surveys for a geographical area using controlled randomization. The method comprises the steps of selecting the geographical area to be surveyed; determining placement for one or more control areas, wherein each control area comprises a plurality of stations, within the geographical area; applying a randomization algorithm to each of the one or more control areas; creating a Fresnel fold map of the geographical area; and applying a relative standard deviation algorithm to the Fresnel fold map to confirm if the randomization algorithm has created an even distribution of data.

A computer-implemented method includes: accessing wireline data and vertical seismic profiling (VSP) data; correlating logged velocity from the wireline data with velocity data from the VSP data to calibrate the logged velocity; determining, based on, at least in part, the calibrated logged velocity, a range of incidence angles for acquiring seismic traces sufficient to map a formation depth at the geo-exploration site using pairs of acoustic emitter and acoustic receiver placed at a surface of the geo-exploration site; and determining a range of offsets between the acoustic emitter and the acoustic receiver of each pair so that the acoustic receiver can acquire seismic traces sufficient to map the formation depth at the geo-exploration site; and comparing the range of angles and the range of offsets with acquisition parameters of a planned seismic survey to determine whether the planned seismic survey can map as deep as the formation depth.