98 results about "Seismic survey" patented technology

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 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 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.

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.

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 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.

The construction of an uphole-calibrated velocity model from uphole seismic survey data using a machine learning model. Uphole seismic survey data may be processed to obtain seismic travel times sorted in a midpoint-offset domain. The machine learning model may be trained with pairs of training data that include travel time vs offset and uphole time, travel times vs offset and uphole velocity, and travel times vs. offset and seismic velocity determined from an interval velocity interpretation of uphole times. The trained machine learning model may output calibrated pseudo uphole velocities having a vertical resolution comparable to the existing upholes.

A method for discovering geofeatures in a subterranean formation includes receiving first input data including training seismic surveys. The method also includes training a model based on the training seismic surveys to produce a pre-trained model using a self-supervised learning (SSL) technique. The method further includes receiving second input data. The second input data includes one or more target seismic surveys associated with the subterranean formation. The method also includes generating geological representations of the subterranean formation using the pre-trained model and based on the one or more target seismic surveys. The method also includes generating a database based on the geological representations. The method also includes generating an output based on the database.

The application discloses a marine seismic survey line leveling method, a processing system and a storage medium, and comprises the following steps: acquiring a seismic operation survey line; extracting a seabed first arrival wave time value according to the seismic operation survey line; grouping the seismic operation survey line to obtain a main survey line group and a liaison survey line group; obtaining an intersection difference according to the seabed first arrival wave time value, the main survey line group and the liaison survey line group; calculating a difference adjustment value of the seismic operation survey line according to the intersection difference; and completing seismic survey line leveling according to the difference adjustment value. The application can quickly level the seismic survey line, reduce the closure error of the seismic survey line and improve the processing efficiency of the closure error of the seismic survey line by grouping the seismic operation survey line first, then calculating the intersection difference (i.e. the difference value of the seabed first arrival wave time value) of two groups of seismic operation survey lines in different directions, and finally calculating the corresponding difference adjustment value and adjusting all the seismic operation survey lines.

Systems, methods, and apparatus, including computer programs encoded on computer-readable media, for performing a seismic survey and characterization of a subsurface formation. Seismic sources coupled to a wellbore of a well system may emit source seismic signals. Seismic sensors coupled to the wellbore may detect seismic signals associated with the plurality of source seismic signals. The detected seismic signals may be reflected seismic signals, refracted seismic signals, or both. A seismic characterization of the subsurface formation may be performed based on analysis of the detected seismic signals and the plurality of source seismic signals. A change in a fluid front of the subsurface formation may be detected based on the seismic characterization of the subsurface formation. Inflow control devices that control fluid flow in a plurality of zones of the wellbore may be controlled based on the seismic characterization and a detected change in the fluid front.

The application discloses a method and device for identifying gas-bearing reservoirs, and the method comprises the following steps: establishing a reservoir longitudinal identification criterion according to well logging data and seismic data of a study area; extracting a plurality of seismic attributes from each seismic survey line in two-dimensional seismic data of the study area; determining optimal seismic attributes from the plurality of seismic attributes through comparative analysis; and determining a favorable reservoir distribution area according to the reservoir longitudinal identification criterion and the optimal seismic attributes.

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.

The application provides a seismic exploration work area building automatic identification method and system, and belongs to the technical field of intelligent identification of remote sensing images of seismic exploration work areas. The method combines an original Unet network model, a multi-scale convolution feature fusion structure and a hollow spatial pyramid structure to obtain an optimized network model, and uses the optimized network model to automatically identify buildings in a seismic exploration work area. The application uses a deep learning method to realize automatic identification of buildings in remote sensing images of seismic exploration work areas, introduces a multi-scale convolution feature fusion and an ASPP (Atrous Spatial Pyramid Pooling) module based on an original Unet network structure, enhances the network feature expression capability, and obtains semantic information of multiple sizes of targets. The application can more accurately locate building targets and has better segmentation effect on small targets, and has good universality.

The application provides a kind of seismic exploration deep weak signal reconstruction training sample automatic construction method, comprising: obtaining seismic survey's gather data A;According to the gather data, construct shallow sample library;Obtain the seismic data B needing to carry out weak signal reconstruction processing;According to the seismic data B, estimate attenuation factor;According to the gather data A, construct noise library;According to the seismic data B, estimate signal ratio, and count data signal ratio;According to the seismic data B and the gather data A, construct attenuated noise sample.The sample construction method has the advantages of controllable signal-to-noise ratio, convenient construction, fast and batch generation.

The invention relates to the technical field of oil and gas reservoir exploration and development, in particular to a wrinkle strength calculation method. The wrinkle strength calculation method comprises the following steps: firstly, intercepting a seismic trace coordinate point set based on a target layer wrinkle zone plane range, and obtaining the wrinkle width of a corresponding wrinkle zone on each seismic survey line; secondly, calculating the relative amplitude of a target layer fold zone by utilizing a structural trend surface method; assigning the relative amplitude to a seismic trace coordinate point set according to a coordinate corresponding relation to obtain a wrinkle amplitude of each seismic survey line in a corresponding wrinkle zone; and finally, dividing the wrinkle amplitude by the wrinkle width to obtain the wrinkle strength of the corresponding wrinkle zone on each seismic survey line. According to the method, seismic attributes, horizon interpretation and three-dimensional seismic survey network information are comprehensively utilized, the wrinkle range is quantitatively delineated through curvature attributes, horizon is interpreted, the wrinkle amplitude is calculated, and an objective wrinkle strength evaluation result can be obtained.

The embodiment of the invention provides a directional drilling entrance and exit seismic exploration method and device based on a mathematical phased array. The method comprises the steps that seismic survey lines including detectors and shot points are arranged; performing shock processing on each shot point in sequence by using the same seismic source; performing mathematical phased array synthesis on the collected seismic signals according to the principle of superposition of the same receiving position to obtain a target seismic wave field; based on the target seismic wave field, geological parameter information of the preset depth of the mountain is obtained; and according to the geological parameter information, determining a target entrance and exit position of the directional drill. According to the embodiment of the invention, the single seismic source is arranged to sequentially hit the shot points, then the signal-to-noise ratio of the seismic signal is improved through a mathematical phased array synthesis mode, the detection depth and the transverse resolution are increased, a plurality of seismic sources do not need to be arranged for simultaneous excitation, and the cost expenditure of seismic exploration is greatly reduced.

A method may include obtaining seismic data regarding a geological region of interest. The seismic data may correspond to a seismic survey that is divided into various bins in a predetermined bin grid. The method may further include determining a first multiblock bin within the seismic survey. The first multiblock bin may correspond to a source bin and a receiver bin among the bins. The method may further include determining traveltime table data using the seismic data and various multiblock bins that include the first multiblock bin. The method further includes determining migrated data using the seismic data, the traveltime table data, a velocity model, a migration function, and various parallel processors. The method further includes generating a seismic image of the geological region of interest using the migrated data.

A method for predicting a property of a subsurface formation, includes: drilling one or more wellbores into the subsurface formation at a well location; conducting a seismic survey at the well location to construct a primary seismic image volume, the primary seismic image volume dataset comprises at least a pressure wave velocity vp, a shear velocity vs, and a density rho, in both time and frequency domains; conducting well logging at the one or more wellbores to generate logging information at the well location; generating an auxiliary seismic image volume for seismic-guided property prediction using Kriging at the well location; generating a prediction operator based on the primary seismic image volume, the auxiliary seismic image volume and the well logging information; feeding a seismic image volume and the prediction operator into a property prediction engine; and generating the predicted property of the subsurface formation.

Systems, methods, and apparatus, including computer programs encoded on computer-readable media, for performing a seismic survey and characterization of a subsurface formation. Seismic sources coupled to a wellbore of a well system may emit source seismic signals. Seismic sensors coupled to the wellbore may detect seismic signals associated with the plurality of source seismic signals. The detected seismic signals may be reflected seismic signals, refracted seismic signals, or both. A seismic characterization of the subsurface formation may be performed based on analysis of the detected seismic signals and the plurality of source seismic signals. A change in a fluid front of the subsurface formation may be detected based on the seismic characterization of the subsurface formation. Inflow control devices that control fluid flow in a plurality of zones of the wellbore may be controlled based on the seismic characterization and a detected change in the fluid front.

A method and system for generating and displaying a low frequency model of a seismic survey area is provided. The method and system include defining a seismic survey geometry of a seismic survey; processing the seismic data to generate superimposed seismic data and log data to obtain elastic properties; importing the superimposed seismic data and the processed log data into a defined seismic survey geometry; generating envelope data using the superimposed seismic data; generating a low-frequency seismic trace for each well; calculating a least square optimization coefficient model of each well position according to the generated envelope data and the low-frequency seismic trace of each well; interpolating a coefficient model into the seismic survey geometry using a covariance technique and the imported superimposed seismic data; and generating a three-dimensional low frequency model for display by inversion using the envelope data and the interpolated coefficient model.

Systems, methods, and apparatus, including computer programs encoded on computer-readable media, for performing a seismic survey and characterization of a subsurface formation. Seismic sources coupled to a wellbore of a well system may emit source seismic signals. Seismic sensors coupled to the wellbore may detect seismic signals associated with the plurality of source seismic signals. The detected seismic signals may be reflected seismic signals, refracted seismic signals, or both. A seismic characterization of the subsurface formation may be performed based on analysis of the detected seismic signals and the plurality of source seismic signals. A change in a fluid front of the subsurface formation may be detected based on the seismic characterization of the subsurface formation. Inflow control devices that control fluid flow in a plurality of zones of the wellbore may be controlled based on the seismic characterization and a detected change in the fluid front.

The present invention relates to the field of tunnel construction technology, and solves the technical problem that existing non-destructive testing technology cannot accurately determine the thickness and wave velocity of the loosening zone. In particular, it relates to a geophysical method for determining the thickness of the loosening zone based on the intersection of the travel time of scattered waves and refracted waves. The method comprises the following steps: S1, arranging a seismic survey line along the side wall of the excavated surrounding rock; S2, using a hammer source to excite at one end of the seismic survey line, and obtaining longitudinal wave seismic recording data through a plurality of geophones. The present invention can accurately measure the thickness of the loosening zone while determining the wave velocity distribution of the first wave in the loosening zone, increasing from the surface wave velocity to the wave velocity of the unloosened rock mass. The detection efficiency of the loosening zone thickness is high. After one observation, the conditions of all loosening zones on a seismic survey line can be obtained, rather than the thickness of the loosening zone at a single point. This avoids the view of a single hole and circumvents the tedious processes of drilling and sealing water.

The application provides a forward migration detector-based tunneling seismic observation method and system, and belongs to the field of tunneling seismic detection. The method comprises the following steps: arranging detectors and collecting tunneling seismic data; pre-processing the tunneling seismic data; forwardly migrating the detectors to the plane where the tunneling working face is located, calculating the migration wave field travel time compensation amount of each detector, and obtaining a forward migration wave field travel time compensation data set; performing wave field travel time migration compensation on the tunneling seismic data based on the data set, calculating the forward migration tunneling seismic data, and pre-processing the forward migration tunneling seismic data; performing velocity analysis on the pre-processed tunneling seismic data and the pre-processed forward migration tunneling seismic data respectively, obtaining a velocity model, performing reflection wave extraction on the pre-processed forward migration tunneling seismic data, obtaining reflection wave common shot gather data, performing polarization migration imaging, and obtaining imaging results. The migration aperture between shots and detectors is enlarged, and the imaging precision is improved.

The application discloses a kind of optimal survey line planning method and device for seismic exploration based on ocean current prediction, method includes: obtaining the candidate survey line set in exploration area, obtain the ocean current prediction data in preset planning time window;Establish towed bird angle prediction model, according to ocean current prediction data, determine the expected feather angle and risk index of each candidate survey line in candidate survey line set at each time by using towed bird angle prediction model;According to the expected feather angle and risk index of each candidate survey line in candidate survey line set, screening is carried out according to the first preset constraint condition, determine the feasible time window set of each candidate survey line;According to the feasible time window set of each candidate survey line, the optimization result containing the execution order and time window of each candidate survey line is determined by using the second preset constraint condition and multi-objective cost function, and the survey line pushing instruction set of ship is generated according to the optimization result. The expected feather angle and risk index are actively predicted before operation using ocean current prediction data, and the operation safety is improved.