112 results about "Microearthquake" patented technology

The invention relates to the technical field of hydraulic fracturing, in particular to a method for evaluating effectiveness of fracture parameters of artificial fracturing of a horizontal well. The method comprises the following steps that information collection based on ground process parameters and underground dynamic parameters is conducted on the horizontal well artificial fracturing construction process, and fracturing working condition data are obtained; according to the fracturing working condition data, the fracture expansion of the horizontal well is monitored in real time, digital conversion processing is conducted, and real-time fracture monitoring data is generated; performing micro-seismic signal analysis on the real-time crack monitoring data, and performing crack network space distribution calculation to generate crack network distribution data; performing reservoir stress field dynamic evolution analysis according to the fracture network distribution data to generate stress field distribution data; and carrying out propping agent migration trajectory tracking according to the stress field distribution data to generate propping agent distribution data. According to the method, the reservoir stress field dynamic evolution analysis and the proppant migration mechanical model are combined, and the effectiveness of the fracture parameters can be evaluated more accurately.

The invention relates to the technical field of petroleum and natural gas engineering, and discloses an oil and gas reservoir optimized mining method based on multi-modal data, which comprises the following steps: constructing an oil and gas reservoir multi-modal data acquisition system, seismic wave field data, logging interpretation data, production dynamic data, micro-seismic monitoring data, underground temperature and pressure time sequence data and shaft structure parameter data are obtained through the acquisition system; and performing space-time alignment processing on the acquired multi-modal data, establishing a unified geological coordinate system and a time reference, and eliminating data isomerism caused by different acquisition frequencies and spatial resolutions. A six-dimensional heterogeneous data acquisition system covering a seismic wave field, well logging interpretation, production dynamics, micro-seismic monitoring, an underground temperature and pressure time sequence and shaft structure parameters is constructed, so that the depiction precision of a reservoir porosity field, a permeability field, a saturation field and a pressure field is essentially improved.

The invention provides a karst collapse early warning method and device, electronic equipment and a storage medium. The method provided by the invention comprises the steps of determining a first time sequence feature of surface displacement data, a second time sequence feature of groundwater dynamic data, a spatial feature of geological radar image data and a vibration feature of microseismic signal data, and generating a multi-modal fusion feature vector according to the first time sequence feature, the second time sequence feature, the spatial feature and the vibration feature; according to the multi-modal fusion feature vector and an early warning model, an early warning signal is obtained, and the early warning model is obtained by updating an early warning threshold value through a historical multi-modal fusion feature vector and a Transform-LSTM hybrid network by using a time sequence difference learning strategy; and performing validity judgment on the early warning signal according to the surface displacement data, the groundwater dynamic data and the micro-seismic signal data, and determining whether to perform early warning according to a judgment result. According to the method, the accuracy of karst collapse early warning can be improved.

The invention discloses a mine microseismic event self-positioning method and a mine microseismic event self-positioning system without a prior velocity structure, which realize integration of underground velocity structure inversion and seismic source positioning by jointly utilizing microseismic signals and surface wave interference noise generated in a mining process. Comprising the following steps: arranging an earth surface detector array to collect micro-motion and micro-seismic mixed signals; extracting a surface wave dispersion curve to invert a stratum S-wave velocity model, and further constructing a P-wave velocity model when the stratum Poisson's ratio in the geological data is known; carrying out seismic phase pickup after carrying out noise reduction on the microseismic signal, and obtaining first arrival time of a P wave and an S wave; and constructing a target function taking the first arrival time, the seismic source position, the seismic moment and the velocity model as parameters, and optimizing the target function to realize accurate positioning. According to the method, early-stage field acoustic logging construction of a mine is avoided, surface wave interference noise is fully utilized, the utilization rate of monitoring data is improved, and mine microseism event positioning without a prior speed structure is achieved.

The invention belongs to the technical field of intelligent sensing, and relates to a micro-seismic monitoring method for a ground moving target in a sensitive area, which comprises the following steps: collecting five types of moving target seismic signals, and constructing a data set; preprocessing the data; constructing an interpretable convolution kernel based on a scalar wave field equation, and realizing adaptive extraction of key physical parameters and nonlinear dimensionality reduction of a high-dimensional feature space by embedding a partial differential operator to form compact feature representation with physical traceability; forward diffusion is adopted to carry out progressive Gaussian noise enhancement on the noisy features; designing a Transform architecture with a multi-head self-attention mechanism and position coding, capturing time-space correlation characteristics of vibration signals through context modeling, and realizing end-to-end mapping from physical characteristics to classification decision in combination with a multi-layer perceptron; and carrying out training and event decision making on the model, and outputting a decision classification result. According to the method, the identification accuracy of the seismic oscillation signal of the moving target can reach 95.2%, and the robustness is remarkably improved.

The invention provides a coal mine earthquake prediction method and system based on Bayesian reasoning, and the method comprises the steps: obtaining observed micro-earthquake event data in a coal mine region; a microseism prediction model is constructed, an optimal solution of model parameters of the microseism prediction model is obtained based on the microseism event data in the historical time period, and the model parameters comprise event triggering parameters and event occurrence parameters; the optimal solution of the model parameters is used as prior information, and posteriori distribution is obtained based on Bayesian reasoning for observed micro-seismic event data; and extracting posterior probabilities in a set probability range from the posterior distribution, obtaining the maximum magnitude corresponding to the prediction time period based on the model parameters corresponding to each posterior probability, and calculating the occurrence probability of the maximum magnitude event based on the maximum magnitudes corresponding to all the posterior probabilities in the set probability range and a given magnitude threshold.

The invention discloses an all-terrain ad hoc network high-speed data transmission method and system for microseism acquisition, and relates to the technical field of data transmission, and the method comprises the steps: constructing a layered network architecture, a first-layer central backbone network is provided with a Mesh chain communication structure, and a second-layer star acquisition network is provided with a star connection architecture; after being powered on, the seismic acquisition terminal acquires seismic signal data and accesses the seismic signal data to the target relay node; and the target relay node selects an optimal Mesh routing path according to a built-in path evaluation processor, forwards the seismic signal data to a preset master control node hop by hop, and uploads the seismic signal data to a seismic data processing server through a local communication module after receiving the seismic signal data, thereby completing centralized data processing. According to the invention, the technical problem of poor seismic signal data transmission stability due to dependence on fixed communication infrastructures in a complex field environment in the prior art is solved, and the technical effects of improving data transmission reliability, reducing network failure rate and overcoming unsmooth communication under a complex field surface condition are achieved.

The invention discloses a risk management and control method, system and equipment based on a water conservancy project, and relates to the technical field of risk management and control. A sensor data drift abnormal index is calculated by obtaining multi-source monitoring data of a target water conservancy project after an earthquake, and an engineering structure change abnormal index is calculated based on a preset structure health model and epicenter parameters; and calculating an earthquake propagation influence index by combining the seismic source distance, calculating an earthquake influence coefficient by combining the three factors, and judging whether an original risk early warning evaluation system needs to be updated according to the earthquake influence coefficient. According to the method, after a natural disaster event (such as a slight earthquake) is encountered, whether the risk early warning evaluation system needs to be updated or not can be judged according to the actual disaster degree; it is ensured that early warning is not delayed or invalid, and the possibility of causing larger potential safety hazards is reduced; meanwhile, whether the risk early warning evaluation system is updated or not can be reasonably judged according to the influence of the actual earthquake on the construction of the hydraulic engineering project, and unnecessary waste of computing resources is reduced.

The invention discloses a shale reservoir fracturing casing deformation calculation method, and relates to the technical field of shale oil and gas development. The method comprises the following steps: fusing microseism, logging, rock core and drilling and logging data, and constructing a fracture network-geomechanics coupling model; calculating a direction cosine matrix according to the fracture three-dimensional stress and the inclination angle, evaluating an activation risk, and screening out high-risk fractures; the triangular mesh boundary element solves the slippage as a displacement boundary, and an eight-node hexahedron elastic-plastic casing mesh is utilized to iteratively calculate a casing variable and draw a cloud picture; and a micro-seismic data real-time iteration model is newly added along with construction, and the perforation cluster distance, the fracturing scale, the displacement and the well spacing are dynamically optimized. According to the method, a large amount of on-site microseismic data is fully utilized, reservoir fracture fine description and slippage risk analysis are achieved, shaft multi-point casing variable prediction is completed, and key technical support is provided for deep shale gas development fracturing scheme decision and risk avoidance.

The invention discloses a fracturing crack fine characterization method and system based on microseism monitoring data, and relates to the technical field of oil and gas field development, and the method comprises the steps: obtaining basic parameters of a target well; according to the well completion data of the target well, the micro-seismic event points of all the fracturing sections of the target well are preprocessed, and the preprocessed micro-seismic event points of all the fracturing sections are obtained; noise reduction processing is carried out on the preprocessed micro-seismic event points of all the fracturing sections, and the micro-seismic event points of all the fracturing sections after noise reduction are obtained; clustering the microseismic event points after noise reduction according to the number of perforation clusters of the fracturing section, and determining effective microseismic event points of each perforation cluster; on the basis of the effective microseismic event points of each perforation cluster, through a crack surface fitting method, respectively obtaining characterization parameters of each perforation cluster crack; and according to the characterization parameter of each perforation cluster crack in the target well, obtaining a fracturing crack fine characterization result of the target well. According to the invention, fine characterization of the fractured crack can be realized.

The invention belongs to the technical field of underground ore body monitoring, and particularly relates to an underground mine cross-border mining dynamic monitoring method and system. The method comprises the following steps: (1) constructing a mine digital twinborn base map; (2) arranging a seismic source monitoring network on the basis of the mine digital twinborn base map, and carrying out micro-seismic monitoring and three-dimensional micro-motion exploration; and (3) a multi-dimensional intelligent dynamic monitoring and early warning platform is built through the mine digital twinborn base map and the data acquired by the seismic source monitoring network, and the multi-dimensional intelligent dynamic monitoring and early warning platform is used for realizing real-time pushing and three-dimensional visual display of the monitoring data and synthesizing a data analysis result to carry out border-crossing analysis research and judgment. And early warning information is sent in time for the suspected border-crossing mining event.

The invention provides a hot dry rock reservoir fracturing induced earthquake management and control system, which belongs to the field of hot dry rock development and supervision and comprises a fracturing construction monitoring subsystem, a microearthquake monitoring subsystem and a traffic light decision subsystem. The fracturing construction monitoring subsystem is used for monitoring fracturing construction data in the fracturing construction process and transmitting main construction parameters to the traffic light decision subsystem; the microseism monitoring subsystem is used for acquiring microseism waveform information, interpreting the microseism waveform information into microseism event data and transmitting the microseism event data to the traffic light decision subsystem; and the traffic light decision subsystem is used for comparing information parameters transmitted by the fracturing construction monitoring subsystem and the micro-earthquake monitoring subsystem with a plurality of set decision discrimination factors, judging and predicting the risk of inducing an earthquake event, carrying out graded early warning prompt on the earthquake risk through an indicator light, guiding the fracturing construction process in real time, and carrying out early warning on the earthquake risk. And the earthquake inducing risk is reduced.

The present invention discloses a real-time dynamic monitoring system for microseismic events based on 5G mobile communications, comprising a data acquisition module for acquiring microseismic signals; a sensor setting module for acquiring an optimal distribution scheme for wireless sensors; a signal conversion module for converting microseismic signals into 5G digital signals; a 5G base station for acquiring the arrival time of the 5G digital signal and transmitting it to an earthquake monitoring station; an earthquake monitoring station for monitoring the location of the earthquake source according to the arrival time; and an early warning module for issuing an early warning when a microseismic event is detected or when a wireless signal sensor fails. The present invention converts traditional microseismic signals into 5G digital signals through 5G communication technology and data signal processing technology, thereby realizing the acquisition of wireless data at the arrival time, speeding up data transmission while saving costs, achieving detection range coverage by planning sensor settings, and realizing identification and early warning of sensor failures.

The invention provides a micro-seismic event P-wave first arrival pickup method and device, and the method comprises the steps: obtaining micro-seismic monitoring data, and selecting a time window containing a wave crest in a P-wave first arrival preset range; establishing an initial Gaussian model; and inputting the selected time window data into the initial Gaussian model, performing iterative fitting, obtaining a final Gaussian model curve when iteration meets a preset condition, and determining the P-wave first arrival time according to the final Gaussian model curve. The invention provides a high-precision micro-seismic event P-wave first arrival pickup scheme based on Gaussian curve iterative fitting, realizes automatic and accurate pickup of P-wave first arrival time in micro-seismic signals, has relatively strong anti-noise capability, and is suitable for analysis of complex waveform data.

The invention provides a multidirectional shallow well microseism monitoring seismic source positioning method. The multidirectional shallow well microseism monitoring seismic source positioning method comprises the following steps: step 1, arranging a multidirectional shallow well observation system to continuously collect fracturing microseism monitoring records; step 2, event identification and seismic phase first arrival pickup are carried out on the continuous micro-seismic monitoring records; step 3, carrying out polarization analysis on the microseism event, calibrating the orientation of the detector, and calculating signal-to-noise ratio information of the seismic phase of each stage of detector; and 4, setting a focus position search range, performing focus optimization on the events one by one, and taking the minimum value of the target function as an optimization target to obtain focus positioning results of all the events. According to the multidirectional shallow well microseism monitoring seismic source positioning method, mass weights recorded by different detectors are considered to construct an inversion positioning objective function to realize seismic source positioning, so that the positioning error of a microseism event can be reduced, and the reliability of fracture explanation is further improved.

The invention relates to the technical field of underground microseism monitoring, in particular to a method for correcting three-dimensional parameter values of an underground microseism monitoring fracturing horizontal fracture network, which comprises the following steps of: constraining the height of a fracture network by using the thickness of a single sand body of a target stratum; a single sand body constraint fracture height is obtained, an interval with the width being a constrained fracture network height value is selected in the horizontal axis direction of the fracture monitoring microseismic event height normal distribution diagram, the number of effective microseismic events with invalid noise points removed is obtained, and the number of the effective microseismic events with the invalid noise points removed and the effective ringing area fracture length are obtained; correcting the height of the post-fracturing fracture network and the length of the post-fracturing fracture network; according to the method, the seam height is restrained through the thickness of the single sand body of the target layer, the seam length and the seam width are determined in combination with the number of effective microseism events, the difference between a microseism monitoring crack result and a fracturing effective crack is determined, and the precision of three-dimensional parameters of a microseism monitoring crack network is remarkably improved.

The invention discloses a tight oil and gas reservoir horizontal well volume fracturing fracture network wave and volume prediction method, which comprises the following steps of: based on geological engineering parameters of a fractured horizontal well and microseism monitoring fracture volume data, calculating weight factors of each geological and engineering parameter by establishing a multi-factor evaluation model; aiming at a to-be-predicted fracturing section, combining the solved weight factor and the geological parameters of the perforation positions of the fracturing clusters in the fracturing section, and calculating a fracturing crack-making efficiency coefficient representing the distribution uniformity of fracturing fluid; multiplying the original micro-seismic monitoring fracture volume of the fractured section by the calculated fracture forming efficiency coefficient to obtain a corrected effective fracture network wave and volume; according to the method, the fracture forming efficiency coefficient is introduced to correct the original microseismic monitoring volume, the problem that prediction results of an existing method are generally large is solved, accurate quantitative prediction of the effective fracture network waves and the volume is achieved, and a scientific basis is provided for fracturing effect evaluation and scheme optimization.

The invention discloses a micro-seismic signal classification method based on genetic algorithm optimization. The method comprises the following steps: data acquisition: acquiring waveform data containing multiple types of micro-seismic event forms; preprocessing: carrying out mean value removal and band-pass filtering preprocessing on the obtained waveform data, and removing baseline drift and high-frequency noise interference; envelope calculation: respectively calculating a time domain envelope and a frequency spectrum envelope for the preprocessed microseismic signal; feature extraction: extracting a plurality of statistics and time frequency parameters from the time domain envelope and the frequency spectrum envelope to form a feature complete set; feature selection and classifier optimization: utilizing a genetic algorithm to perform joint search optimization on structure parameters and feature subsets of the multi-layer perceptron; and training and verification: training the multilayer perceptron by using the optimized feature subset and the network structure, and evaluating the classification accuracy on a verification set. The method can realize high-precision classification, has robustness to noise, and can be widely applied to the fields of microseism monitoring, blasting event monitoring, other vibration source identification and the like.

The invention discloses a top plate hydraulic fracturing pressure relief effect pre-evaluation method based on microseism monitoring, which comprises the following steps of: firstly, acquiring a rock stratum distribution condition in a fracturing range, determining the position of a fractured rock stratum, determining an overburden load according to the position of the fractured rock stratum and physical and mechanical parameters of the rock stratum, and calculating a fracture step pitch of the fractured rock stratum; further calculating the maximum bending deformation energy when the fractured rock stratum is broken; the fracturing effect evaluation step pitch is determined according to the roof fracturing construction scheme; counting micro-seismic events in the fracturing period in each evaluation step range, and calculating the ultimate bending deformation energy accumulated in the fractured rock stratum in the evaluation step range; and finally, calculating the hydraulic fracturing pressure relief degree based on the micro-seismic event and the ultimate bending deformation energy in the fracturing period in each evaluation step range, and determining the hydraulic fracturing pressure relief effect in combination with an evaluation standard. In the process, monitoring sensors do not need to be arranged underground, and under the condition that the working face is not mined, the middle-high-position hard rock stratum fracturing effect can be accurately pre-evaluated.

The present invention discloses a method and system for self - locating micro - seismic events in mines without a priori velocity structure, which realizes the integration of underground velocity structure inversion and seismic source location by jointly using micro - seismic signals and surface - wave interference noise generated during the mining process. It includes: arranging a surface geophone array to collect mixed micro - motion and micro - seismic signals; extracting the surface - wave dispersion curve to invert the S - wave velocity model of the formation, and further constructing a P - wave velocity model when the Poisson's ratio of the formation in the known geological data is available; picking seismic phases after denoising the micro - seismic signals and obtaining the P - wave and S - wave first - arrival times; constructing an objective function with the first - arrival times, seismic source location, earthquake - occurrence time, and velocity model as parameters, and achieving precise location through the optimization of the objective function. The present invention avoids the on - site acoustic logging construction in the early stage of the mine, makes full use of the surface - wave interference noise, improves the utilization rate of monitoring data, and realizes the location of micro - seismic events in mines without a priori velocity structure.

1. Name of the product in this design: Long-lasting probe. 2. Applications of this design: Real-time intelligent monitoring of microseismic events, earthquake background noise imaging, etc. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention provides a micro-seismic event cloud crack interpretation method based on Gaussian distribution. The method comprises the following steps: step 1, fitting a straight line by using coordinates of a micro-seismic event point as the trend of a fractured well; 2, solving a covariance matrix of the two-dimensional data of the coordinate position of the microseism event point, and obtaining a covariance matrix meeting the fracture development direction according to the relationship between the fractured well and the fracture; 3, determining parameters of a two-dimensional Gaussian distribution probability function; step 4, carrying out normalization processing on the vibration intensity data of all the microseismic event points and substituting the data into the function; and step 5, superposing the probability distributions of all seismic event points to obtain a fracture distribution law diagram. The result of the microseismic event cloud crack interpretation method based on Gaussian distribution has accuracy and verifiability, probability distribution is described through a Gaussian function, a crack distribution rule conforming to the rule is obtained, the calculation efficiency is high, the result is accurate, and meanwhile the requirement of crack interpretation work can be met.

The invention discloses a micro-earthquake dry and wet event separation method and device based on a Gaussian mixture model, and the method comprises the steps: S1, building a corresponding Gaussian mixture model based on a micro-earthquake detection result, carrying out the random initialization of parameters of the Gaussian mixture model, and setting the number of mixed components; s2, calculating the posterior probability of each microseismic event point relative to each Gaussian component; s3, updating Gaussian mixture distribution parameters based on the posterior probability of each microseismic event point relative to each Gaussian component; s4, based on the updated Gaussian mixture distribution parameters, calculating a maximum likelihood function and evaluating whether the maximum likelihood function accords with a threshold value, if not, returning to S2, and if yes, executing S5; and S5, outputting the Gaussian mixture model after parameter updating and a dry and wet event classification result. According to the method, effective transformation events corresponding to fracturing construction and fracture activity events caused by ground stress changes can be rapidly distinguished.

The invention provides a method and a device for designing a microseism monitoring and observing system in a vertical monitoring well. According to the method, the optimal layout parameters of the vertical monitoring well detector are determined by comprehensively considering the comprehensive evaluation of the wave field characteristics of different lowering depths in the target monitoring area, the monitoring field angle, the well cementation quality of the monitoring well and the positioning precision analysis and evaluation. According to the scheme, the influence of the speed change of the complex stratum on the micro seismic wave field is reduced, and the direct wave first arrival pickup precision is improved; the observation field angles of different near and far seismic sources of the ultra-long horizontal well are comprehensively analyzed and optimized, and the observation effect of the whole fractured well section observation system is improved; the well cementation quality and the positioning precision are comprehensively analyzed, the signal-to-noise ratio and the quality of data collected by the observation system of the vertical well are improved, and a decisive effect is achieved on subsequent processing and explaining work.

This invention relates to the field of unconventional shale oil and gas exploration and development, and proposes a multi-scale three-dimensional fracture modeling method and system. The method includes: acquiring geological data, well logging data, seismic data, and microseismic data of the study block; establishing a natural fracture DFN model based on the acquired geological, well logging, and seismic data, and establishing a microseismic pressure fracture DFN model based on the acquired microseismic data; and fusing the natural fracture DFN model and the microseismic pressure fracture DFN model to obtain a multi-scale three-dimensional fracture model. This invention efficiently integrates various geological and engineering information and rapidly establishes fracture models, showing great application potential in unconventional oil and gas reservoir fracturing monitoring and numerical simulation of oil and gas reservoir development.

The invention discloses a microseism monitoring and positioning method based on adaptive probability imaging. Comprising the following steps: S1, arranging a detector and collecting data; s2, picking up arrival time and calculating a signal-to-noise ratio; s3, constructing an EDT residual error; s4, constructing an adaptive probability density function; s5, positioning imaging in a product form; s6, searching an optimal seismic source position; and S7, removing abnormal data. The beneficial effects of the invention are that the method achieves the high-resolution imaging of the position of the seismic source and the effective suppression of an abnormal value.

The invention discloses a tailing pond monitoring method based on passive source seismic joint inversion. The method comprises the following steps: step 1, carrying out passive source data observation; 2, performing signal demodulation on the passive source data to obtain time-phased long-time continuous background noise and micro-seismic surface wave data, and performing preprocessing; 3, after preprocessing, multi-channel cross-correlation and frequency dispersion extraction are carried out, then two-step surface wave inversion imaging is carried out, and underground space shear wave velocity structure models in different periods are obtained; 4, performing micro-seismic effective event inversion by using a double-difference positioning algorithm to obtain spatial distribution of micro-seismic events in the underground space rock mass; 5, time-frequency analysis is carried out on the background noise and the micro-seismic surface wave data, and a time corresponding relation between time-frequency parameters and underground space internal evolution is established; and step 6, forming a tailing pond underground space three-dimensional dynamic reconstruction sensing system, and realizing the functions of real-time monitoring of potential geological catastrophe in the whole life cycle of the tailing pond and risk early warning.

The application discloses a microseismic source positioning method, device, equipment and medium, and relates to the field of earthquake monitoring, and comprises the following steps: acquiring initial seismic data, converting the initial seismic data into an envelope signal; determining a reference channel, identifying P-wave peaks and S-wave peaks on the envelope signal of the reference channel to determine a reference P-S separation point; aligning the envelope signal by using a dynamic time warping algorithm to obtain an alignment path; mapping the reference P-S separation point to each seismic channel according to the alignment path to obtain an aligned P-S separation point, and determining a wave phase travel time offset according to the alignment path; based on the aligned P-S separation point, extracting P-wave signals and S-wave signals from the envelope signal respectively to determine a P / S wave double-difference correlation function; constructing a weighted imaging operator based on the P / S wave double-difference correlation function and the wave phase travel time offset, and scanning the weighted imaging operator to determine a microseismic source position in a three-dimensional grid map. The source position can be accurately positioned under the 3D grid.

The invention relates to the technical field of oil exploration and development, in particular to a horizontal well fracturing evaluation method based on high-resolution fracture prediction. The method comprises the steps that a target research area is determined, basic data of the target research area are collected, a target interval of a horizontal well is calibrated and explained by making a single well synthetic record, coherence body attributes of the target interval are extracted, ant body attributes are calculated, a multi-angle observation diagram is drawn, and the spatial relation between a shaft and natural fractures is visualized; collecting ground micro-seismic monitoring data of the target research area, processing the ground micro-seismic monitoring data according to the spatial relationship, and obtaining the spatial position of a micro-seismic event through the processed micro-seismic data; and superposing the seismic attribute of the target research area and the position of the micro-seismic event, and performing fracturing evaluation on parameters such as the shape, the form and the orientation of the artificial fracturing crack and the capability of communicating with the natural crack. According to the method provided by the invention, fracture prediction is effectively carried out, and the precision of the obtained fracture shape, form and azimuth parameters of the natural fracture is higher.

The invention discloses a micro-seismic bad trace elimination method and device based on data statistics. The method comprises the following steps: inputting micro-seismic monitoring data; counting the maximum value and the minimum value of each channel of monitoring data in the microseism monitoring data; on the basis of the maximum value and the minimum value of the monitoring data of each channel, constructing a bad channel elimination factor of each channel; rejecting bad trace data in the microseismic monitoring data through each bad trace rejecting factor; and outputting the microseism monitoring data after the bad traces are removed. According to the invention, automatic elimination of bad traces of micro-seismic monitoring data can be realized.