32 results about "Focal mechanism" patented technology

The invention discloses a hydrofracture focal mechanism inversion method and system, and the method comprises the steps: calculating the azimuths of all detectors relative to a hydrofracture focus according to the horizontal coordinates of all ground detectors; building a horizontal layered speed model through employing the interval transit time logging data of a hydraulic fracture well; calculating the take-off angle of each detector relative to the focus on the basis of the horizontal layered speed model, the focus positioning results, obtained through the processing of former microseism data, of a microseism event and the coordinate positions of the detectors; Determining the polarity of a first motion of a P wave according to the correlation coefficient of each recording channel to a standard channel; taking the azimuths and take-off angles of all detectors and the polarity of the first motion of the P wave as input, and obtaining the nodal plane solution of a fault corresponding to a minimum contradiction symbol ratio. The method achieves a high-efficiency and practical processing flow of the hydrofracture focal mechanism inversion through employing the information of the first motion of the P wave.

A method for expediently processing and inverting elastic wave data to reduce the amount of data and to determine a physical properties model of the material medium and a source properties model. The data are processed to generate waveforms containing the phase difference between compressional- and shear-wave arrivals using auto-correlation, cross-correlation, or deconvolution of said data sensed at each of an arrangement of sensors, whereby said lengthy elastic wave data records are reduced substantially in time. Said waveform data are thereafter inverted using waveform inversion by modifying the source term in the equation of motion, wherein the source term is mathematically expressed as a product of time-independent source properties volume defined at every location in space within said material medium and a space-independent source-time function, whereby no prior knowledge of the number of sources, spatial distribution of source location, source amplitude, or source focal mechanism is needed.

The invention provides a microseism event forward modeling method based on reservoir geomechanical parameters. The microseism event forward modeling method based on the reservoir geomechanical parameters comprises the steps that pressure valuation is conducted on initial hydraulic fracturing, and the finite element method is used for model simulation; the stress of a rock unit at each specific moment is calculated according to time variation; whether the current rock unit is fractured or not is judged according to a stress calculation result in combination with rock fracturing criteria; porosity parameters are calculated; if the rock unit fractures, the magnitude of a focus is calculated in combination with a microseism focal mechanism; simulation at all moments is completed. According to the microseism event forward modeling method based on the reservoir geomechanical parameters, the calculation result can truthfully reflect the actual change conditions of a subsurface reservoir, and the method can be used for prediction of a microseism event in the process of subsurface cracking and fracturing.

The invention discloses a complex scene 3D point cloud semantic segmentation method based on a convolutional neural network, and the method comprises the steps: carrying out down-sampling of an obtained original point cloud, and carrying out feature extraction of a sampling point cloud obtained through sampling through a center self-attention mechanism and a neighborhood self-attention mechanism; splicing the extracted point cloud spatial position features and the obtained point cloud data attribute features, and obtaining a global feature vector through difference pooling processing under the attention mechanism; and cascading the up-sampling result of each layer and the corresponding global feature vector by adopting a jump connection mode, finally generating a point cloud segmentation neural network model through processing of a full connection layer, training and predicting the point cloud segmentation neural network model by utilizing multiple groups of obtained point cloud data sets, and finally completing a semantic segmentation task. Experimental results prove that the network model has higher generalization performance and good application value.

The invention provides a retrieval method and system for a hydrofracture microseism focal mechanism. The retrieval method comprises the steps of P wave amplitude curve pickup, P wave amplitude curve correction, P wave amplitude curve smoothing and fault nodal plane solution retrieval extraction. By establishing an amplitude correction factor and a median filter operator, a pickup P wave amplitude curve is processed and a grid point search algorithm is used for retrieval of a fractured fissure foal mechanism. The method is stable and effective and can promote the development of the hydrofracture ground microseism monitoring data processing technology to a certain extent.

The invention discloses a rock sample hydraulic fracture morphology acoustic emission diagnosis experimental method and device, wherein the rock sample hydraulic fracture morphology acoustic emission diagnosis experimental method comprises the steps: a sensor array of a three-dimensional rock sample space is optimized to design, a rock sample emission speed filed is actively positioned and tested, and rock samples are done with a hydraulic fracturing physical simulation experiment, then are analyzed through sound wave arrival time recognition sound wave data, screen effective acoustic emission signals, and position acoustic emission event points in real time. Effective acoustic emission signals are analyzed through a focal mechanism and clusters, thereby obtaining extensional fracture and shear fracture spatial distribution regulations. The influence of geological stress conditions, natural fracture development degrees, net pressure construction and fluid viscosity to a hydraulic fracture extended mechanism is analyzed through many time experimental results of the hydraulic fracturing physical simulation experiment. The rock sample hydraulic fracture morphology acoustic emission diagnosis experimental method and device solves the difficult problems that effective signals in large size unconventional samples are difficult to collect and are low in positionaI accuracy.

The invention discloses a ground microseism positioning method and system combining seismic source mechanism inversion, and the method comprises the steps: determining a theoretical travel time tableby employing a P-wave and S-wave speed model according to an observation system and a target region; obtaining the amplitude of the microseism data channel according to the theoretical travel time table, and correcting the polarity of the corresponding amplitude according to the theoretical prediction polarity before superposition; and determining the position of the seismic source according to the amplitude superposition energy after polarity correction. According to the microseism positioning method combining seismic source mechanism rapid inversion, waveform information of P waves and S waves in data is utilized, seismic source mechanism solution inversion calculation is rapid and stable, the radiation pattern problem caused by a complex seismic source mechanism can be effectively solved, and the scanning superposition positioning precision is improved; and moreover, the method can automatically detect and position the microseism event without manually picking up the first arrival of the P wave and the S wave, thereby further avoiding the influence of a picking error on the positioning precision.

The invention provides a tectonic geodetic survey mapping method based on ArcEngine. With the aid of the function of an ArcGIS layer, a digital elevation model of an area where a structure is located is loaded on a map as a base to represent the landscape of the structure area; according to the location of a measuring station, a horizontal deformation value, a level deformation value and deformation error information, the visual expression function of a 3D geographic information system is called using ArcEngine on a digital elevation model of an area where the measuring station is located to draw a GPS deformation field and a level deformation field at the location of the measuring station; according to the location of an epicenter, seismic moment magnitude, and the strike angles, tilt angles and sliding angles of the first motion nodal planes of two P-waves, the visual expression function of the 3D geographic information system is called using ArcEngine on a digital elevation model of an area where the epicenter is located to draw a focal mechanism solution at the location of the epicenter; and mapping parameters are set, and then, vectors are output for mapping. Visual tectonic geodetic survey mapping is realized based on ArcEngine. The problem that parameters are repeatedly adjusted using a command line is avoided. The efficiency of drawing is improved.

The invention provides a method and a device for quickly and automatically generating a seismic source mechanism solution. The method comprises the following steps of: performing seismic facies pickup on real-time seismic monitoring data by using a seismic facies recognition model to obtain a seismic facies category; identifying the initial motion polarity of the real-time seismic monitoring data by using the initial motion polarity identification model to obtain the initial motion polarity of the P wave; carrying out seismic correlation on the seismic phase category to obtain a seismic correlation result; obtaining an epicenter position according to an earthquake correlation result; and according to the seismic correlation result, the epicenter position and the initial motion polarity of the P wave, carrying out inversion on the seismic phase mechanism to obtain a seismic source mechanism solution. According to the method, information such as P and S arrival time and P wave initial motion polarity is efficiently and accurately obtained by using the seismic phase identification model and the initial motion polarity identification model, and the seismic correlation result and the epicenter position are obtained based on the information, so that the workload of inverting the seismic source mechanism can be greatly reduced, and the inversion speed of the seismic source mechanism solution is improved.

The invention provides a three-component P-wave initial motion seismic focus mechanism inversion method and device. The method may include the following steps: 1) three component P-wave initial motionsymbols are extracted from microseismic ground shallow well monitoring data; 2) symbol correction is performed on X and Y component P-wave initial motion symbols; 3) a seismic focus model is selected; according to the microseismic ground shallow well monitoring data, values of seismic focus model parameters are solved to determine a seismic focal mechanism solution; 4) lattice point dispersion isperformed in a seismic focal mechanism space; 5) lattice points in the seismic focal mechanism space are searched. In a searching process, a Z component P-wave initial motion symbol corresponding tothe seismic focal mechanism is calculated; 6) degrees of matching is calculated; and 7) the seismic focal mechanism corresponding to a component with a maximum degree of matching is selected as an inversion result. The inversion method and device disclosed in the present invention are used for constraining inversion of the seismic mechanism via three components at the same time, accuracy of inversion can be increased, and multiplicity of solutions of the inversion result can be reduced.

The invention discloses a regional stress field temporal-spatial variation inversion method. The method comprises the following steps that: a microseism monitoring system is designed to collect data;collected original data are preprocessed; the pre-processing data are applied to microseism positioning and focal mechanism joint inversion; microseism events are divided into a plurality of time periods according to the time of earthquake commencement, the spatial locations and focal mechanisms of the microseism events in the different time periods are subjected to inversion, so that the stress distribution diagrams of the plurality of time periods can be obtained; and the stress distribution diagrams of the plurality of time periods are combined, so that the temporal-spatial variation of stress can be obtained. According to the method of the invention, the locations and focal mechanisms of more widely distributed and more accurate microseism events are obtained based on a multi-parameterjoint-scanning algorithm; on the basis of the microseism events obtained through the multi-parameter joint-scanning algorithm, a study area is decomposed into a plurality of sub-areas, each sub-areacontains at least two seismic events; the stress tensors of all sub-areas are subjected to joint inversion, so that the spatial distribution of the stress of the whole area can be obtained; and microseisms at different time are subjected to inversion, so that the change of the stress over time can be analyzed.

The invention provides an earthquake evaluation method based on multi-type geophysical data. The method comprises the following steps: acquiring in-plate natural seismic data, surface elevation data, Bouguer gravity anomaly data, aeromagnetic anomaly data, seismic wave tomography, earth crust GPS movement rate and focal mechanism solution which have occurred in a target area; constructing a target area plane grid, and performing plane gridding processing on in-plate natural seismic data, surface elevation data, Bouguer gravity anomaly data and aeromagnetic anomaly data based on the target area plane grid; determining a plane distribution diagram of the strong earthquake region of the target region based on the plane gridding data; and superposing the surface elevation map, the plane distribution map of the strong earthquake area of the target area and the seismic wave tomography, analyzing the movement condition of the earth crust at the two sides of the strong earthquake area by combining the earth crust GPS movement rate and the seismic source mechanism solution, and analyzing the matching relationship between the strong earthquake area and the earth crust geological structure, thereby determining the geological cause of the strong earthquake area.

The invention discloses an advanced detection method based on a protruding coal seam roadway. The method comprises a step of determining a preliminary seismic wave propagation velocity of a monitoringarea and performing roadway hammering on the monitoring area by using an active seismic source, a step of obtaining a seismic wave signal of active seismic source hammering and correcting an initialseismic wave propagation velocity according to the seismic wave signal to obtain a target seismic wave propagation velocity, a step of performing event detection on the seismic wave signal to obtain acoal-rock mass micro-fracture signal event, a step of performing artificial fine turning on the coal-rock mass micro-fracture signal event according to the target seismic wave propagation velocity toobtain a fine-tuning signal event, a step of performing positioning calculation on the fine-tuning signal event to obtain a fine-tuning signal event positioning result, a step of performing focal mechanism solution on the fine-tuning signal event to obtain a coal-rock mass micro-fracture formation mechanism, a step of performing double-difference imaging on the fine-tuning signal event and obtaining a velocity field by inversion, and a step of describing the distribution characteristics of a bad geological body in front of the roadway according to the fine-tuning signal event positioning result, the coal-rock mass micro-fracture formation mechanism and the velocity field.

The invention provides an earthquake prediction method and device, and electronic equipment. The method comprises the steps of obtaining an earthquake catalog and a seismic mechanism solution of a target earthquake event; determining the tidal stress of the epicenter of the earthquake event according to the earthquake catalog; based on the tidal stress and the seismic mechanism solution, determining loading and unloading effects of the tidal stress on a target seismic event; and according to the loading and unloading effects of the tidal stress on the target earthquake event, determining a prediction result of subsequent earthquakes in the epicenter. According to the method, the earthquake is quickly predicted in real time through the earthquake catalog and the seismic source mechanism solution, so that the timeliness of earthquake prediction is improved.