296 results about "Earthquake prediction" patented technology

The invention discloses a method for forecasting a carbonate reservoir based on forward modeling of a digital geological model, and is characterized by comprising the following steps: in petroleum geological exploration, through a field carbonate geological outcrop collecting and data processing technology and combination with an actually-measured geological section, establishing a three-dimensional digital geological model of an outcrop area, according to an outcrop rock speed analysis chart and a drill speed data, establishing a speed model of the carbonate reservoir with different physical properties on the basis of the three-dimensional geological model, carrying out two-dimensional forward modeling and three-dimensional forward modeling, carrying out offset horning process on earthquake forward modeling data so as to obtain three-dimensional offset data or a two-dimensional offset section of the earthquake forward modeling, establishing reflecting characteristics of different carbonate reservoirs according to response characteristics of the earthquake section, and forecasting the carbonate reservoir. According to the invention, qualitative forecasting of the carbonate reservoir can be realized without a regular earthquake inversion, a large amount of manpower and device resources are saved, reliability and precision of forecasting of the carbonate reservoir in the earthquake are effectively improved, exploration and development risk can be reduced, and benefit is increased.

The invention relates to an earthquake monitoring alarm system belonging to the technical field of earthquake prediction and alarm. Monitors are placed at a deep position of stratum to form a network monitoring system which mainly monitors shake and temperature change, are connected with a ground monitoring center and an alarm playing system to release alarms in time by alarm procedure management and various media, and form an earthquake prediction and an alarm system together with an alarm receiving and playing system. The earthquake monitoring alarm system can provide certain advance time quantum disaster condition prediction and alarm for areas except an epicenter area and also can provide impending earthquake prediction for the epicenter area as far as possible so that disaster-affected area people can know that earthquakes happen at once from a few seconds to a few minutes in advance and then start to take risk avoiding measures in advance, and the purpose of saving more persons is achieved. The earthquake monitoring alarm system can continuously improve the data, enhance the accuracy rate of prediction and alarm and finally achieve the purpose of realizing imminent earthquake prediction; meanwhile, certain prevention measures can be taken for the earthquakes before the earthquakes so as to decrease casualties and reduce property loss.

The invention discloses an earthquake prediction method for porosity and shale content of a sand shale reservoir. The method comprises steps as follows: measuring test data of a core sample; calculating a matrix elastic parameter according to a rock physical theory; acquiring a longitudinal and transverse wave speed-porosity-shale content theoretical relation of the sand shale reservoir according to the matrix elastic parameter of the sand shale and the test data of the core sample; calculating logging porosity and logging shale content according to acquired actual logging data; on the basis of the longitudinal and transverse wave speed-porosity-shale content theoretical relation, performing parameter cross analysis, and calibrating and correcting the logging speed, the logging porosity and the logging shale content; establishing a quantitative prediction model about logging longitudinal and transverse wave impedance-porosity-shale content; acquiring an earthquake longitudinal wave impedance data cube, a transverse wave impedance data cube and a density data cube through earthquake pre-stack inversion; performing earthquake porosity and shale content data inversion to acquire an earthquake-predicted porosity data cube and an earthquake-predicted shale content data cube.

The invention relates to the field of precise prediction and evaluation of tight and heterogeneous sandstone reservoir and discloses a multi-parameter permeability prediction method for tight sandstone reservoir. The method comprises steps as follows: (1), determining geological main controlling factors of permeability of the tight sandstone reservoir, wherein the geological main controlling factors comprise porosity, granularity and degree of fracture development; (2), establishing a logging prediction model of porosity and granularity and an earthquake prediction model; (3), determining geological main controlling factors of the degree of fracture development; (4), establishing a fracture development index model according to the geological main controlling factors obtained in the step (3); (5), establishing a comprehensive prediction model of multi-parameter permeability under earthquake-geological constraints. According to the method, accurate prediction of single well and plane ofpermeability of the tight sandstone reservoir is realized.

The invention provides a sand shale rock reservoir stratum pressure earthquake prediction method and device; the method comprises the following steps: calculating the elastic modulus, the microfissure density and microfissure closed rate factors under the limited effective stress according to a Hashin-Shtrikman boundary model and the porosity and shale content of an object sand shale rock reservoir in a research zone; determining the relation between the dry rock elastic modulus and effective stress according to the elastic modulus, the microfissure density and microfissure closed rate factors; determining the effective stress coefficient of the sand shale rock along with the depth changes according to said relation; predicting the stratum pressure of a single well to-be-detected object layer according to said relation and the effective stress coefficient; using an elastic modulus data body obtained by inversion and taking the single well stratum pressure as constraints, and carrying out three dimensional earthquake stratum pressure prediction on the research zone according to said relation and the effective stress coefficient. The method and device can improve the stratum pressure prediction accuracy.

The invention relates to an earthquake pre-stack gather processing method in geophysical exploration, in particular to a fine event flattening processing method for earthquake pre-stack gathers. The fine event flattening processing method for earthquake pre-stack gathers includes pre-processing acquired earthquake data; extracting pre-stack gathers to be subjected to fine event flattening processing, and representing with a two-dimensional array D with line I and row J; setting a fine event flattening processing parameter; judging whether to set a flattening seed point at a central point of a certain waveform comparison window or not from window to window with Nw as size of the windows and Nm as movement amount of the windows, and calculating movement amount of the flattening seed point; calculating tensioning sampling coordinates; and performing fine event flattening according to the tensioning sampling coordinates. The method is of great significance to both processing and explanation of earthquake data and has the advantages of stability and high efficiency.

The invention provides a shale gas reservoir brittleness earthquake prediction method and device. The method comprises the following steps: carrying out calculation by means of the generalized linear inversion thought, based on a Bayesian theory and by utilizing actual seismic data of a work area and a prior distribution function and a Zoeppritz equation of a plurality of elastic parameters, to obtain a disturbance quantity solution expression of the elastic parameters; carrying out calculation according to the solution expression and an initial model of the elastic parameters to obtain disturbance quantity value of the elastic parameters; carrying out calculation according to the disturbance quantity value and the initial model to obtain a current model of the elastic parameters; carrying out calculating based on the actual seismic data, the current model and the Zoeppritz equation of the plurality of elastic parameters to obtain seismic inversion residual error; and if the seismic inversion residual error is smaller than a set threshold value, serving the current model as the value of the elastic parameters, and carrying out calculation according to the value of the elastic parameters to obtain shale gas reservoir brittle index of the work area. The method and device can improve shale gas reservoir brittle index predication accuracy.

The invention discloses an earthquake prediction and description method of a highly-shielded fracture-vug type storage layer containing coal, and the earthquake prediction and description method is mainly used for earthquake resource target processing and fine description of the storage layer. The method comprises the steps of: firstly analyzing coal layer characteristics through forward modeling, and providing basis for positioning of practical resource coal layers; then utilizing generalized S conversion time varying wavelet spectral simulation to improve the resolution of a target layer; then utilizing a layer position control multi-channel dynamic matching tracking method for carrying out highly-shielded stripping, and protruding weak signals; and finally utilizing a crack detection method, absorption attenuation analysis and wave impedance inversion to carry out contrast analysis, and obtaining a storage layer prediction result. The earthquake prediction and description method can well solve the problems that cracks are difficult to identify, the fracture-vug type storage layer is high in transverse heterogeneity, and the storage layer is low in porosity and low in permeability; in addition, the storage layer prediction precision is improved.

The invention relates to an earthquake prediction auxiliary system based on a technology of Internet of things. The system comprises omnidirectional vision-based biological earthquake predictors placed on all observation points and an earthquake prediction server which is used for performing comprehensive analysis on monitoring results of the omnidirectional vision-based biological earthquake predictors on all the observation points, wherein all the omnidirectional vision-based biological earthquake predictors are communicated and connected, and all the omnidirectional vision-based biologicalearthquake predictors are communicated and connected with the earthquake prediction server; and the earthquake prediction auxiliary system can improve the credibility of earthquake early warning and simultaneously provide a certain reference basis for future judgment of earthquake occurrence times and earthquake occurrence areas by combining omnidirectional vision, computer vision, a database andother technologies for analyzing activities, postures, actions, behaviors and the like of animals, enabling the behaviors of the animals distributed on monitoring points of all places to speak and adopting comprehensive analysis means including time sequence of speaking, spatial positions, speaking sequence of the animals in different species and the like.

The invention provides an earthquake early warning method based on Internet of Things multi-sensor information fusion and a neutral network technology, which comprises the concrete steps of firstly performing networking fusion on the multi-sensor information of multiple earthquake parameter monitoring points by the Internet of Things technology, wherein the information comprises soil radon alpha energy spectrum, well radon alpha energy spectrum, temperature in soil, humidity in the soil, air pressure in the soil, surface temperature, surface humidity, surface air pressure, surface wind speed, surface rain fall, well water level, well water temperature, well water turbidity, well water mercury, well water carbon dioxide, earthquake sound, earthquake tilting and the like; then obtaining abnormal information feature vectors by wavelet analysis, a correlational analysis method, a feature tree search method, a non-linear quantifying and processing method and a main component analysis method; and finally obtaining the relation between the multi-sensor information abnormality and an earthquake by the neutral network technology, thus achieving the aim of predicting the earthquake. The technical scheme of earthquake early warning method based on the Internet of Things multi-sensor information fusion and the neutral network technology is feasible and convenient to implement and can achieve the aim of more accurately predicting the earthquake.

The invention relates to a three-dimension fracturing design method for a horizontal well in a compact sandstone reservoir, and belongs to the technical field of oil-gas exploration. The size of an improved sand body of the horizontal well is calculated in combination with sand body distribution in an oil-gas reservoir, three-dimensional earthquake prediction, horizontal well segment oil-gas display, adjacent well physical property parameters and a well network layout, and the length of each segment of the horizontal well, fracture half-length of fracturing and designed sand adding amount in fracturing are determined to achieve the effect that different fracturing design parameters are adopted for different horizontal segments of different types. The pertinence of the fracturing design for the horizontal well is improved, and the whole horizontal segments are improved evenly, so that single well controlled reserves of the horizontal well and the single well yield of an oil-gas well are maximum. The three-dimension fracturing design method is not only suitable for the fracturing design of the unconventional compact sandstone reservoir horizontal well, but also can be used in fracturing design of horizontal well improving in conventional clastic rock reservoir, carbonate reservoir, shale reservoir, volcanic reservoir and the like.

The invention provides a shale horizontal bedding fracture density seismic prediction method. The method comprises the steps of (1) constructing an anisotropic rock physical model of shale horizontalbedding fracture density, (2) carrying out rock physical inversion according to logging curves based on the rock physical model and obtaining a value of the horizontal bedding fracture density and values of anisotropic parameters, (3) carrying out statistic intersection analysis on the horizontal bedding fracture density and the anisotropic parameters and establishing a prediction model, (4) estimating values of overlying shale anisotropy parameters by using the AVO attribute of an inverted shale VTI media bottom interface, and (5) converting the values of the anisotropic parameters convertedvalues of horizontal bedding fracture density to obtain a horizontal bedding fracture density seismic prediction result. Through the method, high-quality shale layer horizontal bedding fracture density plane distribution can be obtained, and the prediction of horizontal bedding fracture by using prestack seismic data is realized for the first time.

The invention provides a shale total organic carbon content earthquake prediction method, and belongs to the field of petroleum and natural gas exploration. The method includes the steps of: (1) preparing geological, well logging and seismic data; (2) making a statistical analysis of shale core total organic carbon content geochemical analysis test data, well logging curves and rock elasticity parameter curves, and preferably selecting a well logging curve or rock elasticity parameter curve that has a high degree of correlation with total organic carbon content test data content to establish a total organic carbon content calculation model; (3) utilizing a seismic inversion technology to obtain a curve inversion data body required by the total organic carbon content calculation model; and (4) calculating a shale total organic carbon content data body based on the total organic carbon content calculation model in Step (2) and the curve inversion data body in Step (3).

A detection of an anomaly of geomagnetism and a collection of data are performed by using portable telephones. Direction variations measured by geomagnetic sensors mounted to the portable telephones are collected via data transmission lines for portable telephones, and the variations are observed for each area. Earthquake occurrence warning information is transmitted to a portable terminal of a collaborator for geomagnetism information provision in an area in which a number of occurrences of the variations is significantly large.

The invention discloses an earthquake prediction method for shale gas reservoirs, which comprises the following steps: step A) using wave impedance inversion technology to realize the spatial distribution prediction of shale intervals; step B) performing page prediction based on the spatial distribution prediction Analyze TOC sensitive parameters of rock total organic carbon, clarify TOC sensitive parameters and establish a mathematical model between them and TOC content of shale total organic carbon; step C) based on 3D seismic data, under the spatial constraints of wave impedance inversion of shale intervals , using the pre-stack inversion method to obtain the sensitive parameter body; step D) according to the mathematical model, convert the sensitive parameter body into a shale TOC data body, and obtain the research data from the shale TOC TOC inversion data body The spatial distribution of shale gas reservoirs in the study area can be predicted quantitatively, and the seismic prediction results can be obtained. The invention adopts the above method, the earthquake prediction method has small measurement error and greatly improves the accuracy.

The invention provides an earthquake prediction system based on a neural network, and belongs to the field of artificial intelligence. The system comprises a data acquisition device, an earthquake prediction device and a monitoring alarm center. The data acquisition device is mainly formed by a seismometer and a network module, and is used for collecting seismic waves and transmitting the data through a network. The earthquake prediction device is generated through the following steps: to begin with, selecting a lot of training sample sets, which are mainly related to seismic wave pictures; then, constructing a convolution neural network system; and training the neural network through training data, and when training is finished, generating the earthquake prediction system. The monitoring alarm center is mainly used for analyzing the output of the neural network and the data of the data acquisition device to predicate which place is about to have an earthquake. Through the universal convolution neural network model, the earthquake prediction system overcomes the defect that a feature matching algorithm is not completely considered, has good generalization ability and improves predication accuracy.

The invention relates to an effective earthquake prediction method, in particular to a method in which a vibration wave / shock wave sensor or an acceleration sensor, or a sonic or ultrasonic sensor, or a sonic frequency sensor which is provided with a sensor chip and / or a microprocessor is arranged into a metal pipe that is deeply embedded in the inner earth crust, and then the received information of the vibration wave or the shock wave or the sonic wave or the ultrasonic wave or the sonic frequency of a crustal movement is fed back to a corresponding apparatus / an instrument /a computer (a central processing unit) / a display / a network system on the ground surface so as to predict the occurrence of the earthquake. The invention comprises a metal pipe, a steel wire or a steel wire rope or a hybrid material rope, a movable metal alarm hammer with a handle, a vibration wave / shock wave sensor or a acceleration sensor or a sonic or ultrasonic sensor or a sonic frequency sensor which is provided with a sensor chip and / or a microprocessor, a corresponding apparatus or an instrument or a computer (a central processing unit) or a display or a network system; the design of the effective earthquake prediction method is capable of obtaining the early movement information of the earth crust from the depth of the earth crust to the location of each layer of the earth crust, thus achieving the best seismic early warning effect.

The invention discloses a main controlling factor analysis for shale oil production and an earthquake prediction method and device. The main controlling factor analysis for shale oil production and the earthquake prediction method and device are characterized in that the main controlling factor analysis for shale oil production is capable of establishing a shale oil and gas reservoir accumulation mode which plagues scientific research workers from a long time by means of analyzing shale oil and gas accumulation conditions, oil and gas geological characteristics and oil and gas accumulation characteristics; the earthquake prediction method and device conducts prediction by selecting a targeted earthquake prediction technique to ultimately realize comprehensive prediction of oil and gas enrichment region of a shale oil reservoir in Langzhong area of Sichuan province; the main controlling factor analysis for shale oil production and the earthquake prediction device mainly comprises a driller, a lifting base, an acoustic detector, a camera, a sensor, an analysis computer and a storage printer. Furthermore, the main controlling factor analysis for shale oil production and the earthquake prediction method and device determines main controlling factors of shale oil drilling production in Daanzhai section of Langzhong area to predict favorable areas for oil and gas via a corresponding earthquake and geological prediction technique, thereby improving oil recovery efficiency and laying the foundation for the further exploration of shale oil and gas in Sichuan area.

The invention discloses a coal seam impact type mine earthquake prevention and control method. The method comprises the steps that a high-stress region range is determined in a stopping line region of a mine earthquake protection region, and two pressure relief roadways are dug in the direction of the stopping line within the range to be adopted as the artificial space; large-diameter intensive drilling pressure relief is performed on a coal wall of the working face; deep hole explosion holes are evenly distributed on roadways and chamber sides after coal mining stopping. Due to the fact that the large space is manufactured inside high-stress coal body, stress distribution is changed, and energy is greatly released; pressure relief of the coal wall on the periphery of the mining stopping working face and roadway deep-hole blasting are performed, impact energy is sufficiently released, and impact type mine earthquakes are reduced, prevented and controlled fundamentally.

A fault trap oil-bearing height seismic prediction method comprises the following steps of 1, establishing an seismic attribute prediction fault trap oil-bearing height geological model of a researcharea; 2, determining the seismic attribute prediction fault trap oil-bearing height key parameters; 3, determining the quantitative relationship among the seismic attributes, rock burial depth, rock argillaceous content and rock displacement pressure by using a neural network method; 4, calculating the lithologic displacement pressure of a fault-reservoir; and 5, converting the displacement pressure difference into a liquid column height, comparing the liquid column height with the trap height, and determining a fault trap oil-bearing height value. The method has the following technical effects that 1) the quantitative calculation of the fault trap oil-bearing height in a well-less or well-free control area is realized; 2) the stratum pressure in the reservoir is directly calculated by using the seismic data, the data is easy to obtain, the parameter values are more, and the prediction result is more accurate; and 3) the fault plugging height is calculated by using the space change fault distance value, so that the calculation precision is improved.

The invention provides a fault karst body reservoir quantitative characterization method. The method comprises steps: the development mode of the fault karst body is built; with the development mode of the fault karst body as a guide, earthquake prediction on fault karst body characteristics is carried out; with a karst development mode as a guide, a fault karst body reservoir three-dimensional geological model is built; and based on production dynamic data, the fault karst body reservoir three-dimensional geological model is corrected. According to the fault karst body reservoir quantitativecharacterization method disclosed in the invention, the fault karst body reservoir development mode is thoroughly considered, based on geophysically-predicted fault karst body correlation attributes,a well-to-seismic integration geological modeling method is adopted, the distribution of a fault karst body outer contour, inner characteristics and attribute parameters is built respectively, the fault karst body reservoir characteristics are quantitatively characterized, and reliable basis is provided for reserves evaluation, numerical simulation and development program adjustment.