72results about How to "The inversion result is accurate" patented technology

The invention discloses a determination method for mechanical parameters of transverse isotropy shale reservoir rocks. The determination method comprises the following steps: carrying out an X-ray diffraction experiment to determine rock mineral constituents of a certain well depth; inverting rock porosity of the certain well depth by utilizing acoustic logging information; determining the stacking density of clay by utilizing the determined rock mineral constituents and the porosity; determining rigidity matrixes of transverse isotropy rocks of shale under a scale 0 by using a closed cycle-correction-identification method; determining the rigidity matrixes of the transverse isotropy rocks of the shale under a scale 1 and a scale 2 by utilizing a pore elastic theory; and substituting the rigidity matrixes into inversion models of Young modulus, poisson ratio and shear modulus and determining the mechanical parameters of the rocks. According to the determination method, the mechanical strength parameters of the rocks are inverted by using the X-ray diffraction experiment, so that the inversion result is accurate on the basis of establishing the experiment; field rock fragments are easy to obtain so that the determination method has the characteristics of time conservation, labor conservation and money conservation in the aspect of experiment operation.

The invention discloses a quick full-waveform inversion method for edge guide and structural constraint. The edge of a model is detected by using a canny operator, namely, velocity and interface are inverted at the same time in full-waveform inversion, and then holding structural regularization and structure constraint regularization are carried out on the gradient of residual of the model through bilateral filtering. The problem that the edge information and structure information are fuzzy for a conventional full-waveform inversion method is solved. Moreover, damage to the model result and boundary in the high-noise de-noising process is overcome, and the inversion result structure and boundary information are enhanced.

The invention discloses a method for synchronous measurement of the optical constant and particle size distribution of spherical particles based on a multi-angle light scattering-transmission process, relates to the technical field of participating medium radiation property measurement and is aimed at solving the problems of great error of experimental measurement value and relatively weak measurement signal in participating medium radiation parameter measurement based on inverse problem solving. The method comprises the following steps: irradiating the surface of a particle system sample by using continuous steady-state laser; arranging optical detectors on different scattering-angle positions; measuring the scattering optical signal intensity and hemispherical transmission signal of the steady-state laser of different angles; and obtaining the optical constant of the spherical particles and the particle size distribution of the particle system in combination with the signals and through the inverse problem solving technology. The method disclosed by the invention is suitable for synchronous measurement of the optical constant and particle size distribution of spherical particles based on a multi-angle light scattering-transmission process.

The invention discloses a pre-stack seismic parameter inversion method based on an anisotropic Markov random field. The method comprises: establishing an objective function of a pre-stack seismic parameter; calculating a longitudinal wave reflection coefficient based on a Zoprez equation, and obtaining a data item of the objective function according to 2-norm of an error of between a seismic record obtained by measurement and a synthesized seismic record; acquiring anisotropic Markov random domain weight coefficients of data points in different directions by using an anisotropic diffusion method; acquiring a priori constraint term of the objective function; extracting logging data of a to-be-inverted region and carrying out inversion parameter logarithmic linear fitting on the logging data; determining an objective function and carrying out minimum optimizing based on a rapid simulated annealing algorithm; and completing iterative optimization of the objective function and outputting an inversion result. Therefore, the influence of anisotropy of the stratum on the inversion result can be corrected by using the anisotropic Markov weight coefficients, thereby reflecting the stratiform feature of the strata accurately and protecting the fault and the boundary well.

The application relates to an inversion method and an apparatus for multi-channel transient electromagnetic detection data. The method incudes: multi-channel transient electromagnetic detection is performed at a to-be-detected place so that earth pulse response of the to-be-detected place is obtained; the falling-edge step response of the earth pulse response is obtained; and the inversion of the falling-edge step response is performed. According to the inversion method and the apparatus for the multi-channel transient electromagnetic detection data, the interferences of air waves in the pulse response can be avoided, accurate inversion results can be obtained, and the falling-edge step response obtained by a reverse integral method and the analytical solution are well coincided.

The invention discloses an aerosol remote sensing inversion method and an aerosol remote sensing inversion system for lack of short-wave infrared data. The aerosol remote sensing inversion method considers the influences of angle and surface type of the earth on a band relationship, constructs a band regression coefficient lookup table for angled grid division and surface feature type classification by using a multi-angle data set, and performs inversion to obtain aerosol optical thicknesses of surfaces of different surface feature types. The method introduces an aerosol correction index (ACI)and NDVI seasonal variation characteristics as limiting conditions for the problem that the aerosol optical thickness inversion results are highly sensitive to the relationship between bands. The core technology of the aerosol remote sensing inversion method is that an aerosol optical thickness lookup table and the band regression coefficient lookup table are established based on the direct correlation of the surface feature spectral bands by combining with influences of different solar observation angles on the band relationship, can rapidly and precisely obtain the aerosol optical thicknessinversion results of different surface features through inversion by screening conditions, and improves the operation efficiency and inversion precision by adopting the above technical means.

The invention provides an analysis of influence factors for P wave travel time by anisotropism parameters, and belongs to the field of geological exploration. The method includes the steps of: (1) analyzing geological data of a local region; (2) determining causes of formation and types of anisotropism; (3) determining sensitive anisotropism parameters; (5) obtaining the anisotropism parameters through inversion; and (5) performing migration processing on anisotropism. According to the method provided by the invention, when anisotropism parameter inversion is performed, firstly the causes of formation of anisotropism of the local region are acquainted, the type of anisotropism are analyzed, and the sensitive parameters are selected for inversion, so that the precision of anisotropism imaging that is obtained is obviously better than isotropy imaging.

The invention discloses a PM2.5 deep learning inversion method combining the remote sensing data and the social perception data. The PM2.5 deep learning inversion method comprises the steps of preprocessing the PM2.5 data of a ground station point, the remote sensing data, the social perception data and the auxiliary data; performing feature variable extraction and calculation on the multi-source data by using a geoscience space statistics and analysis method and a remote sensing information processing means; carrying out space-time matching on the multi-source data in a gridding mode, taking a grid with a ground station point true value as a training sample, and generating a multi-source data set with uniform space and time; normalizing the grid data set with the site PM2.5 true value, then inputting the grid data set into a deep learning model for training, and inverting the unknown grid PM2.5 concentration through the model after the grid data set passes the verification; and carrying out fine PM2.5 space-time distribution mapping on an inversion result. According to the method, the multi-source information can be effectively mined by using a deep learning technology, the defect of a traditional statistical model in a nonlinear problem is overcome, and the higher inversion precision and the finer space-time PM2.5 distribution are obtained.

The invention provides a CO2 concentration layering inversion method and system of a multi-wavelength laser radar. The method comprises the following steps: S100, layering a CO2 concentration inversion integration route in a vertical direction according to the influence of weather and carbon circulation on CO2 concentration; S200, respectively establishing a corresponding CO2 concentration multi-wavelength inversion model and a weight model for each layer, and obtaining a CO2 column concentration calculation model of each layer; S300, performing linear equation aggregation according to the CO2column concentration calculation model of each layer, obtaining an observation equation adopting the CO2 column concentration of each layer as a to-be-calculated parameter, calculating the CO2 columnconcentration of each layer by adopting a linear least square method, and calculating the CO2 concentration of each layer according to the CO2 column concentration. According to the CO2 concentrationlayering inversion method and system of the multi-wavelength laser radar, the actual distribution state of CO2 in atmosphere is considered, and a CO2 concentration inversion result with higher accuracy can be obtained.

The invention discloses a high-density earth resistivity measurement system suitable for complex terrain conditions. The high-density earth resistivity measurement system comprises a master control unit, an electrode conversion unit and a full-bridge circuit. The master control unit controls the high voltage power supply and measurement state of multiple electrode modules through the electrode conversion unit. The full-bridge circuit generates AC signals and injects current to the earth through the electrode modules. The master control unit controls the arrangement mode, the electrode distance and measurement point scanning of the electrode modules through the electrode conversion unit and performs smoothing and other processing on the current, voltage, temperature, humidity and latitude and longitude signals acquired by the electrode modules so that a model meeting the actual conditions is constructed, an inversion graph is calculated and the address situation of the complex terrain conditions is obtained. The high-density earth resistivity measurement system is suitable for earth resistivity measurement under the complex terrain conditions. The latitude and longitude and the height of each electrode can be measured through the GPS, and relative height information of each electrode is fused in an inversion algorithm so that measurement inversion of complex terrain earth resistivity can be performed.

The invention, which relates to the technical field of seismic exploration, provides an angle-domain inverse-scattering migration imaging method and device. According to the method, a pair of seismicwave rays that passes through a first imaging point and arrives at each detection point by staring with each shot point is obtained; on the basis of the size of a scattering angle formed at the firstimaging point by the pair of seismic wave rays, the pair of seismic wave rays is divided into a corresponding angle interval; offset stacking is carried out on the pair of seismic wave rays in each angle interval to obtain an inversion value of a parameter combination of each angle interval; and then according to the inversion value of the parameter combination of each angle interval, inversion values of all perturbation parameters of the first imaging point are obtained. According to the angle-domain inverse-scattering migration imaging method and device, the parameter inversion problem is processed in the angle domain; the inaccurate illumination processing and unstable matrix inversion in a conventional offset frame are avoided; and thus the high-precision imaging and reliable parameterestimation are realized.

The invention discloses a polarity direct envelope inversion method based on seismic trace attribute analysis, and the method specifically comprises the steps: 1, setting a shot point and a detectionpoint, and carrying out the collection to obtain observation data uobs(t, xr, xs); 2, constructing a rectangular grid geologic model; 3, giving the initial speed model v0(x) of the speed model v(x) toobtain calculation data ucal(t, xr, xs); 4, solving an envelope eobs(t, xr, xs) of the observation data and an envelope ecal(t, xr, xs) of the calculation data; 5, solving phases and instantaneous frequencies of the observation data and the calculation data; 6, solving the polar envelope of the observation data uobs(t, xr, xs) and a polar envelope given target function Je(v(x)) of the calculationdata ucal(t, xr, xs); 7, optimizing the target function Je(v(x)) through direct envelope inversion and iterative optimization algorithms to obtain a long-wavelength component vl(x) of the speed model; 8, giving a new to-be-optimized objective function J(v(x)) of the next stage; and 9, optimizing the target function J(v(x)) to obtain a fine speed structure vf (x). According to the method, a more accurate polar envelope can be obtained, and the method is used for inversion of a strong scattering speed model.

The invention provides a soil parameter dynamic inversion analysis method suitable for a suspended deep foundation pit engineering, which can circularly optimize inversion parameters and use the optimized parameters in numerical value simulation prediction. According to on-site monitoring conditions and parameter sensitivity analysis, an inversion target and the reverse parameters are determined.Aiming at a multivariable problem of multiple soil layer parameters and multiple excavation step working conditions, a soil layer weight and an excavation step weight are introduced through calculation of an interval influence coefficient, the multivariable problem is converted into a single variable problem, and interval optimization analysis is executed through a least square method so as to determine an soil optimal parameter. In the soil parameter dynamic inversion analysis method, a foundation pit excavation order is taken as a back analysis progressive order, circulating calculation analysis of 'inversion-prediction-inversion again-prediction again' is executed for the parameters, with increase of excavation depth and the number of the soil layers, the soil parameters are continuously subjected to dynamic inversion and modification, the optimized parameters are used to the numerical value simulation prediction, and compared with actual monitoring values, feasibility of the inversion analysis method is verified, prewarning is provided for construction of the suspended deep foundation pit engineering, and thus, the soil parameter dynamic inversion analysis method has relativelyhigher application value.

The invention discloses a three-dimensional resistivity sounding application method based on a high-density electrical method Wenner device. According to the method, a three-dimensional resistivity data body is established through a high-density 2D resistivity instrument Wenner device and a high grid-density large-electrode pitch electrical sounding section; electrodes are arranged and converted into a symmetric quadrupole device; a non-uniform measurement network is constructed; and three-dimensional inversion is performed through the least square method. With such an observation method adopted, detection depth is increased, cost is reduced, the spatial characteristics of a geologic body are effectively reflected, and detailed information is provided for borehole layout.

The invention relates to a method and a device for imaging magnetic resonance electromagnetic characteristic parameters of human body biological tissues. The method comprises the following steps of respectively carrying out spin echo and proton density imaging sequence scanning to obtain image data, dividing the spin echo reconstruction image data by the proton density image data to obtain decoupled pure receiving magnetic field data, and on the basis of pure receiving magnetic field data, conducting synchronous reconstruction by utilizing a convection-reaction-diffusion or gradient indirect inversion algorithm to obtain parameter value distribution of the electrical conductivity, the dielectric constant and the magnetic conductivity of the tissue. A result obtained by utilizing the spin echo sequence and receiving magnetic field amplitude and phase component inversion does not contain contribution of quasi-static frequency components related to main magnetic field uniformity distortion in image data acquisition. The measurement process is noninvasive, and the obtained measured value does not need to be assisted by a contrast agent.

The invention provides a prediction method for a shale gas pressure post-transformation fracture network, and the method comprises the steps of collecting basic parameters which need to be used in a shale gas numerical simulation process, and selecting the gas production rate, the bottom hole pressure and the water production rate of a multi-section fractured horizontal well as fitting data; constructing a level set function for the representative points, and determining level set function values of all the representative points in the reservoir according to the microseismic distribution; taking the fracturing fracture data as an average value, taking an average value in a preset proportion as a variance, generating a plurality of groups of parameter sets containing main fracture parameters and secondary fracture parameters, and classifying fracture types and permeation types of all positions in the reservoir; and constructing an iterative historical fitting algorithm based on a preset algorithm, and obtaining the distribution of the reconstructed fracture network after the shale pressure and the distribution after the fracturing fluid invades the stratum according to the converged parameters. According to the invention, information such as spatial distribution and permeability of the post-fracturing reconstruction seam network can be automatically inverted according to production data of the shale gas production well.

The invention relates to a longitudinal and transverse wave separation method without separation artifacts, and belongs to the technical field of seismic wave information processing. The invention mainly overcomes the defects in the prior art, and provides a longitudinal and transverse wave separation method without separation artifacts, which comprises the following specific steps: carrying out forward modeling by using a first-order speed-strain equation, and carrying out longitudinal and transverse wave decoupling based on the formula and a longitudinal and transverse wave decoupling equation to obtain a separated longitudinal and transverse wave speed field. According to the invention, the phase and the amplitude of the separation result are not changed, and the separation result has no separation artifact; accurate longitudinal and transverse wave separation provides support for forward modeling and understanding of seismic wave propagation, elastic waves are relatively complex due to the fact that the elastic waves include longitudinal and transverse waves, and coupling of the longitudinal and transverse waves causes inconvenience to understanding of propagation rules of a wave field during forward modeling of the wave field of the elastic waves. Accurate longitudinal and transverse wave separation provides support for elastic wave imaging, surface data longitudinal and transverse wave separation, microseism positioning and the like depending on elastic wave field continuation algorithms.

The invention provides a non-planar wave identification method and system for controllable source audio magnetotelluric sounding. The method comprises the following steps: performing forward modeling on a two-layer model and a four-layer model in a uniform half-space model to obtain CSAMT observation data; comparing the data curve observed by the CSAMT corresponding to each model with the data curve corresponding to the MT; determining the reaction of the CSAMT observed data curve corresponding to each model to the shallow stratum, and further determining the change form of the observed data along with the frequency; and identifying the non-plane wave according to the relationship between the change form of the observed data corresponding to each model along with the frequency and the response of the non-plane wave. According to the method, the transition region and the near region of the non-plane wave can be correctly identified and divided, and a correct inversion result is obtained.

Characteristics of analog data and observation data are extracted by using a convolution kernel, each sampling point is coded according to the polarity of the characteristics, an attenuation matrix is constructed after coding, the matrix is multiplied by the analog data so as to adaptively identify a part in the analog data, the part of data has cycle jump with the observation data, the part of data is attenuated, and the interference of the part of data on the gradient is reduced. The influence of a cycle jump phenomenon on an inversion result is effectively eliminated, and the inversion result precision of full-waveform inversion when observation data lack low-frequency information and an initial model is inaccurate is improved. The method is combined with a multi-seismic-source hybrid coding strategy, and the calculation efficiency of inversion is further improved. The accurate inversion result can be obtained under the condition that observation data contains strong noise, the period jump phenomenon is effectively reduced under the condition that the calculation efficiency is kept unchanged, and the method has high noise resistance, is suitable for actual seismic exploration and can remarkably improve the seismic exploration inversion effect.

The invention discloses a GNSS-IR soil humidity inversion method based on generalized continuation approximation, and the method comprises the steps: carrying out the interpolation and extrapolation of a precise ephemeris through employing the signal-to-noise ratio observation data of a measurement type GNSS receiver through a generalized continuation approximation model, so as to obtain the elevation angle of each satellite in each epoch; the signal-to-noise ratio of the reflected signal obtained through trend separation by the local weighted regression method is reordered about the sine value of the satellite elevation angle, then the normalized Lomb-Scargle spectrum peak value is subjected to generalized continuation interpolation approximation to obtain the oscillation frequency, and a corresponding relative delay phase is obtained through nonlinear least square sine fitting; a soil humidity inversion model is established through a random forest, and finally, missing relative delay phase data is supplemented by adopting a generalized continuation interpolation method to serve as inversion model input to predict soil humidity. The method can adapt to the missing condition of observation data with different lengths and distribution, can maintain high inversion precision, and solves the problems in the prior art.