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51 results about "Nonlinear inversion" patented technology
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Nonlinear inversion was also used to design of the outer loop control laws. The dynamic inversion control laws were compared with more conventional, gain-scheduled control laws and were shown to yield much better performance.
Nonlinear inversion
InactiveUS6999510B2Multiple-port networksDigital technique networkNonlinear inversionNonlinear channel
A method for processing a signal propagated through a nonlinear channel is disclosed. The method comprises modeling the channel characteristics to produce a linearized channel model, wherein the linearized channel model has a linearized transfer function that includes a plurality of first order polynomials and nonlinear operators. The method further comprises deriving an inverse linearized channel model from the linearized channel model and filtering the signal using the inverse linearized channel model.
Owner:AVAGO TECH WIRELESS IP SINGAPORE PTE
Nonlinear optimization based time-space domain staggered grid finite difference method and device
ActiveCN103630933ALow dispersionImprove simulation accuracySeismic signal processingSpace time domainNonlinear inversion
The invention provides a nonlinear optimization based time-space domain staggered grid finite difference method and device. The method includes: determining finite difference coefficients; optimizing the finite difference coefficients on the basis of time-space domain dispersion relation and a nonlinear inversion algorithm; utilizing the optimized finite difference coefficients to perform elastic wave forward modeling. By the method and device, the technical problems of high middle-high frequency dispersion and low simulation precision caused by the fact that a finite difference method of taylor series expansion and space domain dispersion relation is utilized to acquire the finite difference coefficients so as to perform elastic wave forward modeling are solved, dispersion of middle and high frequency is achieved, and technical effect of simulation precision is improved.
Owner:BC P INC CHINA NAT PETROLEUM CORP +1
Nonlinear model-based multispectral remote sensing water depth inversion method and apparatus thereof
ActiveCN105865424AMeasuring open water depthWater resource assessmentNonlinear inversionNonlinear model
The invention provides a nonlinear model-based multispectral remote sensing water depth inversion method and an apparatus thereof. The method comprises the following steps: acquiring the multispectral remote sensing image of a preset area and the actually measured control point water depth of a preset water area, and preprocessing the multispectral remote sensing image to obtain a preset area reflectivity; carrying out water-land separation on the preset area reflectivity through a near infrared waveband spectrum characteristic-based threshold technique to obtain the reflectivity of the water surface of the preset water area; establishing a nonlinear inversion model corresponding to the preset water area according to the water surface reflectivity and the actually measured control point water depth; and regressing the nonlinear inversion model through a stepwise regression algorithm, and inversing according to the regressed nonlinear inversion model to obtain the water depth of the preset water area. The highly-precise water depth of the island reef water area far from the land is rapidly obtained according to the nonlinear inversion model on the basis of the actually measured water depth, model establishing and the solving process are simple, and the nonlinear inversion model is suitable for various types of water depth inversion engineering and has good portability.
Owner:CHINA TOPRS TECH
Self-adapting wave form retrieval method through utilization of zero offset vertical seismic profile (VSP) data to estimate speed and Q value
InactiveCN103163554AIncreased sensitivityHigh precisionSeismic signal processingPeak valueSignal-to-quantization-noise ratio
The invention discloses a self-adapting wave form retrieval method through utilization of zero offset vertical seismic profile (VSP) data to estimate speed and Q value. The method includes a first step of selecting undisturbed a segment of a first-motion wave in a self-adapting mode to the maximum extent according to the signal to noise ratio of the actual VSP data and the degree of a direct wave disturbed by an upward traveling wave, and fully utilizing effective information to construct an objective function, a second step of improving the sensitiveness of the objective function to changes of the Q value through proper construction of a data weighting matrix according to the feature that the Q value is more difficult to estimate than other parameters; a third step of adopting a recently developmental self-adapting multiplication regularization method to improve the ill-conditional problem of nonlinear inversion, and limiting the value range of the unknown parameters through nonlinear transformation, and a fourth step of inferring analytical expressions of elements of a jacobian matrix so as to decrease the calculated amount of inverse problems. Compared with a spectrum ratio method and a wavelet envelope peak value instantaneous frequency method, the method is relatively smaller in influence of the upward traveling wave, stronger in anti-noise performance, and higher in accuracy of inverse parameters.
Owner:XI AN JIAOTONG UNIV
AUV inversion docking control method
InactiveCN105527967AGood speed tracking performanceEasy dockingAltitude or depth controlDocking stationTransceiver
The present invention relates to an AUV inversion docking control method, belonging to the technical field of underwater vehicle recovery and docking. The method is characterized in that the head of an AUV is equipped with a USBL transceiver, two sides of a recovery station is equipped with two USBL transponders B1 and B2; in the process that the AUV approaches a docking station, the AUV obtains the positions of the transponders in a body coordinate system through a USBL positioning system, time derivation is carried out by an AUV transponder position measurement equation, and a docking error is defined in the AUV body coordinate system. In the docking process, the AUV is in a full driving navigation mode, for a docking error, a nonlinear inversion controller is designed, thus the AUV navigates along an expected straight line trajectory until reaching the docking station. According to the method, the inversion adapted speed tracking has good speed tracking performance in a condition of parameter uncertainty, and the docking effect is good.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
Micro earthquake monitoring and positioning method based on highly-deviated well
ActiveCN103389489AHigh positioning accuracyAccurate calculationPosition fixationSeismic signal processingNonlinear inversionEarthquake monitoring
The invention discloses a micro earthquake monitoring and positioning method. The method comprises the steps as follows: seismogenic azimuth angles, where a micro earthquake happens, detected by all detectors are calculated; a first objective function is established according to the azimuth angles, where the micro earthquake happens, detected by all detectors; an initial position (X0, Y0 and Z0) of a micro earthquake incident is estimated on the basis of the inversion of the first objective function; a second objective function is established according to the range from a P wave first arrival and an S wave first arrival of the micro earthquake incident near the initial position (X0, Y0 and Z0); and nonlinear inversion is performed on the second objective function, so that accurate x, y and z coordinates of a focus of the micro earthquake incident are obtained. According to the micro earthquake monitoring and positioning method, the micro earthquake incident positioning problem of the detectors located at a highly-deviated well section can be effectively inversed, and the method has the advantages that the calculation speed is high, an inversion operator is stable, and the like.
Owner:BC P INC CHINA NAT PETROLEUM CORP +1
Vertical wind profile nonlinear inversion method based on Doppler weather radar
ActiveCN104035096AImprove stabilityThe calculation result is accurateICT adaptationRadio wave reradiation/reflectionWeather radarNonlinear inversion
The invention relates to a vertical wind profile nonlinear inversion method based on a Doppler weather radar. The method includes the following steps that (1) an actual horizontal wind field in a certain height is selected at will and shown in a Taylor polynomial expansion mode; (2) the radar speed observation is represented by rVd; (3)the polynomial in the step (1) is plugged into a rVd expression in the step (2) to obtain a rVd theoretical expression of a nonlinear downstream wind field; (4) arithmetic product of Doppler data Vd of each observation point of the radar and radial distance r between the observation point and the radar is calculated to obtain an actual physical quantity of the rVd; (5) the observed actual physical quantity rVd in the step (4) is plugged into the rVd theoretical expression in the step (3), and the mathematical expression is subjected to polynomial fitting so as to figure out horizontal wind speed of the height; (6) data of different heights are selected, the process from the step (1) to the step (5) is repeated, and thereby, a vertical wind profile can be obtained. By means of the vertical wind profile nonlinear inversion method based on the Doppler weather radar, inversion of the horizontal wind field and the vertical wind profile can be well performed, and the problem that the calculation is not stable due to non-uniform data distribution by traditional methods is solved.
Owner:NANJING UNIV
Tomography method for travel times of three preliminary waves of offshore cross-well TTI medium
ActiveCN104360396AImprove calculation accuracyHigh speedSeismic signal processingSeismology for water-loggingShort path algorithmNonlinear inversion
The invention relates to a tomography method for travel times of three preliminary waves of offshore cross-well TTI medium. The method comprises the following steps: (1) establishing a TTI medium straight-well model containing faults and acquiring an elastic parameter of the straight-well model; (2) dividing the straight-well model into a plurality of independent calculation regions; (3) carrying out model parametrization on divided straight-well model areas one by one; (4) implementing discretization on interfaces of the divided straight-well model one by one; (5) acquiring actual observation travel times of preliminary waves qP, qSV and qSH; (6) setting an initial model for inversion, and calculating theoretical travel times of the preliminary waves qP, qSV and qSH as well as corresponding ray paths by virtue of zoning multi-step improved shortest path algorithm; (7) calculating corresponding Jacobian derivative matrix elements; and (8) solving a constrained damped least square question by virtue of a conjugate gradient method for nonlinear inversion, and judging a result: when meeting minimum travel time residual, ending the inversion; otherwise, updating the model for inversion, and turning to step (6).
Owner:CHINA NAT OFFSHORE OIL CORP +1
Method and system for simultaneously obtaining low-frequency elastic property and density of reservoir rock
ActiveCN103217358AImprove estimation accuracyEliminate accidental errorsAnalysing solids using sonic/ultrasonic/infrasonic wavesSpecific gravity measurementNonlinear inversionRock sample
The invention provides a method and system for simultaneously obtaining low-frequency elastic property and density of reservoir rock. The method comprises the steps of: obtaining a reservoir rock sample S to be measured, a first standard sample Al and a second standard sample Lu with known elastic properties, wherein the compression coefficient and the density of the first standard sample are kappaal and Rhoal, the compression coefficient and the density of the second standard sample are kappalu and Rholu; measuring and obtaining a volume Val of the first standard sample and a volume Vlu of the second standard sample as well as a volume Vs of the reservoir rock sample to be measured; measuring and obtaining a resonance frequency f0 of an acoustic resonance cavity of a difference resonance acoustic spectrum device; measuring resonance frequencies in N positions in the difference resonance acoustic spectrum device: fal, i(i=1, 2...N), flu, i(i=1, 2...N) and fs, i(i=1, 2...N); and by using the parameters, simultaneously obtaining the compression coefficient and the density of the reservoir rock to be measured, which are respectively kappas and Rhos, by using a least square method nonlinear inversion method. According to the method, the high-precision low-frequency elastic property and the high-precision density of the reservoir rock can be simultaneously obtained.
Owner:BC P INC CHINA NAT PETROLEUM CORP +1
Computer device, apparatus and method for determining structural parameters of high-voltage basin-type insulator
ActiveCN110287629AQuick TroubleshootingAvoid slow recognitionDesign optimisation/simulationNeural architecturesElement modelPhysical field
The embodiment of the invention discloses a computer device, apparatus and method for determining structural parameters of a high-voltage basin-type insulator. The computer device comprises a performance collection module used for acquiring material performance paramaters of a pot insulator body to acquire a performance parameter collection module in a nonlinear relationship between performance parameters; an electro-thermal-machine performance coupling calculation module used for acquiring electric field distribution, temperature distribution and stress distribution of a basin insulator by using a coupling calculation model of electro-thermal-machine performance based on nonlinear relationship between finite element method and performance parameters; a multi-physical field decoupling calculation module used for simulation calculation by a three-dimensional definite element model in an electric field, a temperature field and a stress field; and a structure parameter determination module used for acquiring best structure parameters by nonlinear inversion through the deep learning network model. The application can effectively guide structure design of the high-voltage basin-type insulator.
Owner:STATE GRID CHONGQING ELECTRIC POWER CO ELECTRIC POWER RES INST +1
Magnetotelluric two-dimensional inversion method for optimizing neural network based on genetic algorithm
InactiveCN111143984AIncrease success rateIncrease computing speedDesign optimisation/simulationNeural architecturesPattern recognitionAlgorithm
The invention provides a magnetotelluric two-dimensional inversion method for optimizing a neural network based on a genetic algorithm. The method comprises the following steps of: firstly, establishing a BP neural network basic framework for a magnetotelluric two-dimensional geoelectric model for learning training, wherein the network input is the apparent resistivity parameter of a known geoelectric model, and the output is the geoelectric model parameter; optimizing a neural network learning and training process by utilizing a genetic algorithm, and calculating optimal solutions of networkconnection weights and thresholds of various geoelectric models; and finally, performing inversion test on the unknown model by using the optimal connection weight and the threshold, the network inputbeing the apparent resistivity parameter of the unknown geoelectric model, and the output being the parameter of the geoelectric model. The magnetotelluric detection nonlinear inversion method can effectively improve magnetotelluric detection nonlinear inversion precision and speed, and is high in adaptability.
Owner:贵州大方煤业有限公司
Method for processing full-space transient electromagnetic data of mine
ActiveCN109597136AImprove data processing qualitySolve the problem that needs to manually specify the initial modelArtificial lifeDesign optimisation/simulationNonlinear inversionGlobal optimization
The invention relates to a transient electromagnetic data processing method and belongs to the technical field of geophysical exploration, in particular to a method for processing full-space transientelectromagnetic data of a mine. According to the method, an inversion processing technology is introduced into mine transient electromagnetic data processing, thereby improving the data processing quality. According to the method in the invention, a combined inversion method is adopted so that not only the problem that an initial model needs to be manually provided for a damping least square method is solved, but also the advantage that a particle swarm can be subjected to global optimization is fully utilized; a combined algorithm is used for providing an initial model for the damping leastsquare method by means of a particle swarm algorithm; and the characteristics of nonlinear inversion of the particle swarm algorithm and the advantage of high damping least square optimization efficiency are taken into account.
Owner:XIAN RES INST OF CHINA COAL TECH& ENG GROUP CORP
Seafloor seismograph position and orientation inversion method based on water wave first arrival polarization orientation
ActiveCN110146924AEliminate the influenceImprove accuracySeismology for water-covered areasNonlinear inversionLinear methods
Owner:CHINA UNIV OF GEOSCIENCES (BEIJING)
Full-waveform inversion method and device and electronic equipment
ActiveCN111666721AImprove computing efficiencyDesign optimisation/simulationNeural learning methodsAlgorithmNonlinear inversion
The invention provides a full-waveform inversion method and device, and electronic equipment. The method comprises the steps of obtaining initial physical parameters, wherein the initial physical parameters are speed parameters of the underground structure; performing parameterization processing on the initial physical parameters to obtain physical parameters, and inputting the physical parametersinto a pre-trained machine learning model to enable the machine learning model to output a full-waveform inversion result according to the physical parameters, wherein the full-waveform inversion result and the weight coefficient of the machine learning model satisfy a preset relationship; and reconstructing a speed structure chart of the underground structure according to the full-waveform inversion result. According to the invention, the initial physical parameters are parameterized through the weight coefficient of the machine learning model; therefore, the full-waveform inversion problemis converted into the reconstruction problem of machine learning model network parameters, the problems that the existing full-waveform inversion cannot solve the nonlinear inversion problem and a large amount of calculation exists are solved, the calculation efficiency is improved, and the beneficial effect of high-precision inversion of a complex underground structure is achieved.
Owner:INST OF GEOLOGY & GEOPHYSICS CHINESE ACAD OF SCI
Porosity inversion method for improving resolution
ActiveCN111077571AAvoid inversion getting stuck in local minimaReduce ambiguitySeismic signal processingSeismology for water-loggingPorosityWell logging
The invention provides a porosity inversion method for improving resolution. The method comprises the steps: (1), deducing a fast longitudinal wave reflection coefficient approximate expression whichis vertically incident to a fluid-containing pore medium interface, and building a direct quantitative relation between porosity and a seismic record based on a rock physics theory; (2), constructinga nonlinear inversion objective function by taking the logging porosity and the logging reflection coefficient as prior constraints according to a relationship between the porosity and the seismic record; (3), calculating a porosity adjustment parameter by utilizing logging data information, and giving prior information such as a constraint parameter, a maximum inversion iteration frequency and aporosity initial solution; and (4), substituting the known parameters into the nonlinear inversion objective function, and realizing direct quantitative inversion of the porosity by utilizing a simulated annealing algorithm. The method has the advantages that the limitation that the traditional method depends on single-phase medium and equivalent medium theories is broken through, and the direct quantitative relation between the porosity and the seismic record is fundamentally established, so that the resolution of porosity inversion is improved.
Owner:CHENGDU UNIVERSITY OF TECHNOLOGY
Prestack hybrid nonlinear inversion method and computer readable storage medium
ActiveCN109143346AImprove acquisitionImprove efficiencySeismic signal processingNonlinear inversionLongitudinal wave
The invention discloses a prestack hybrid nonlinear inversion method and a computer readable storage medium. The method may include the following steps that: prestack linear inversion is performed onprestack seismic data so as to obtain the initial value of a transverse wave reflection coefficient and the initial value of a transverse wave velocity-to-longitudinal wave velocity ratio; a combinedelastic parameter is constructed based on the transverse wave reflection coefficient, the transverse wave velocity-to-longitudinal wave velocity ratio, and a density gradient; a prestack longitudinalwave reflection coefficient formula is expressed as a linear equation about the density gradient, a longitudinal wave reflection coefficient and the combined elastic parameter, linear solution is performed on the prestack longitudinal wave reflection coefficient formula, so that the density gradient, the longitudinal wave reflection coefficient and the combined elastic parameter are obtained; andan objective function about the transverse wave reflection coefficient and the transverse wave velocity-to-longitudinal wave velocity ratio is constructed, and linear solution is performed on the objective function, so that a final transverse wave reflection coefficient and a final transverse wave velocity-to-longitudinal wave velocity ratio are obtained. According to the prestack hybrid nonlinearinversion method and the computer readable storage medium of the invention adopted, a traditional four-parameter nonlinear problem is degraded into a two-parameter nonlinear problem, and therefore, various elastic parameters can be obtained with high efficiency and high precision.
Owner:CHINA PETROLEUM & CHEM CORP +1
Multi-wave combined pre-stack waveform inversion method
ActiveCN111025388AImprove estimation accuracyImprove stabilitySeismic signal processingWave equationNonlinear inversion
The invention discloses a multi-wave combined pre-stack waveform inversion method. The pre-stack seismic inversion method mainly comprises two major types of a forward operator based on ray tracing and a forward operator based on wave equations, wherein the forward operator based on ray tracing is pre-stack AVO inversion with the widest application, and the forward operator based on wave equationsis called pre-stack waveform inversion. Different from the pre-stack AVO inversion, the pre-stack waveform inversion method can better apply complex wave field response in input data, reduce the processing difficulty of the input data, and improve the sensitivity of seismic records to target inversion parameters. At present, a nonlinear inversion strategy is mostly adopted for the pre-stack waveform inversion, and the calculation efficiency is too low. The invention provides a linear strategy pre-stack inversion method so as to reduce the calculation time. Meanwhile, in order to improve the inversion precision and stability, a PP and PS multi-wave data joint inversion strategy is adopted, and the method can effectively improve the inversion precision of three parameters, especially for transverse wave speed and density estimation. A logging model test verifies the effectiveness of the method.
Owner:HOHAI UNIV
Method for confirming fluid density and solid skeletal density
InactiveCN102455272ASeismology for water-loggingSpecific gravity measurementPorosityNonlinear inversion
The invention provides a method for determining a fluid density and a solid skeletal density in a storage layer, and determining the fluid density and the solid skeletal density of a three dimensional area. The method for determining the fluid density in the storage layer comprises the steps of: collecting logging data aiming at the storage layer; obtaining storage layer density data rho i and porosity data phi i at each sampling point of n sampling points in the storage layer from the logging data aiming at the storage layer, wherein i = 1, 2, ..., n; and determining the fluid density rho f in the storage layer through a formula. Through the method provided by the invention, the fluid density and the solid skeletal density in the storage layer can be determined by using the density data and the porosity data of the storage layer obtained by the logging data; the fluid density and the solid skeletal density can be spread to the whole three dimensional data space through a nonlinear inversion method in combination with a three dimensional seismic data volume; and the three dimensional space data obtained through inversion can be used for storage layer forecasting, gas and water identification, oil and gas accumulation description and the like.
Owner:CHINA PETROLEUM & CHEM CORP
Method for correcting micro-seismic velocity models on basis of relative first arrival matching errors
ActiveCN106353794APrecise positioningLarge positioning errorSeismic signal processingRelative magnitudeSeismic velocity
The invention provides a method for correcting micro-seismic velocity models on the basis of relative first arrival matching errors. The method includes determining locations of detection points for perforation points and first arrival of perforation signals; building initial velocity models by the aid of prior information of work areas or acoustic well logging data of wells close to fracturing segments; establishing velocity model correction objective functions by the aid of relative magnitude of first arrival matching errors of locations of the perforation points and first arrival matching errors of locations of reference points around the perforation points; carrying out nonlinear inversion on the micro-seismic velocity models by the aid of genetic algorithms. The method has the advantages that the velocity models corrected by the aid of the method have the obvious relative merit that first arrival matching error sections computed by the aid of the velocity models are close to the perforation points, and accordingly the method is favorable for further positioning micro-seismic events; micro-seismic event locations which are subjected to inversion by the aid of the corrected velocity models are reliable, and the method is low in positioning error.
Owner:CHINA PETROLEUM & CHEM CORP +1
Micro earthquake monitoring and positioning method based on highly-deviated well
ActiveCN103389489BHigh positioning accuracyAccurate calculationSeismology for water-loggingNonlinear inversionEarthquake monitoring
Owner:BC P INC CHINA NAT PETROLEUM CORP +1
Simulated annealing-based quality factor Q nonlinear inversion method and system
ActiveCN109143345AAccurate compensation for absorptionAvoid the constant Q assumptionSeismic signal processingObservation systemInversion methods
The invention provides a simulated annealing-based quality factor Q nonlinear inversion method and system. The method includes the following steps that: a dual-well micro logging observation system isutilized to obtain micro logging data; direct waves excited by the same shot are extracted from the micro logging data, and an attenuation curve is calculated; the prior information of the change ofa quality factor Q with a frequency is introduced, a nonlinear objective function is established based on the attenuation curve; a simulated annealing method is adopted to obtain parameters in the objective function by means of nonlinear inversion, so that the value of the quality factor Q which changes with the frequency is obtained. Compared with the prior art, a constant Q hypothesis is avoided, and the value of the frequency-dependent quality factor Q is directly obtained; and therefore, the accurate compensation of energy lost in formation absorption can be benefitted, and a data foundation is provided for high-precision imaging. With the method adopted, error introduced by a constant Q hypothesis-based inversion method in traditional methods can be eliminated, so that the accuracy ofthe calculation of the value of the quality factor Q can be improved; and the micro logging data are adopted, so that the accuracy and stability of results can be improved.
Owner:CHINA PETROLEUM & CHEM CORP +1
Method and apparatus for analyzing fractures using AVOAz inversion
Owner:GEOSOFTWARE CV
Gas-bearing property detection method based on nonlinear inversion of pore medium asymptotic equation
InactiveCN107764697ARealize gas-bearing property inversionSurface/boundary effectSeismology for water-loggingPorous mediumNonlinear inversion
The invention relates to the field of petroleum and natural gas exploration and development, in particular to a gas-bearing property detection method based on nonlinear inversion of a pore medium asymptotic equation. The method comprises the following steps: initiating an application method for extracting a gas-bearing property indication based on an inversion method, carrying out forward modelingresearch from logging petrophysical data, observing a phenomenon that the amplitude changes with the frequency through a model, and analyzing the phenomenon. Finally, an objective function is established in a frequency domain by using a normal asymptotic equation, and the gas-bearing property inversion based on a normal reflection coefficient of a porous medium is realized by using a nonlinear chaos method. The model studied in the invention combines a Barenblatt model and a Biot elastic pore theory, however, the application of the model is not limited to fractured reservoirs, but is applicable to situations where two or more scales exist in rocks.
Owner:CHINA PETROLEUM & CHEM CORP +1
Method for detecting thickness of frozen soil curtain of urban underground large-scale freezing project
ActiveCN112882103AReduced spread areaImproving the Measurement Accuracy of Apparent ResistivityElectrical/magnetic thickness measurementsElectric/magnetic detectionSoil scienceGelisol
The invention discloses a method for detecting the thickness of a frozen soil curtain of an urban underground large-scale freezing project. The method is suitable for being used in the urban underground large-scale project. The current focusing principle is adopted, the current of an emitting electrode is compressed into a limited height range, a freezing pipe in the height range is insulated, and therefore it is guaranteed that the current is propagated in a nearly tubular mode, and the tubular current propagation equivalent area is calibrated through a model test; the apparent resistivity of a frozen soil-unfrozen soil-frozen soil system between an emitting electrode and a receiving electrode is calculated based on the voltage and current of the emitting electrode, the function relation between the frozen soil curtain thickness and the apparent resistivity on a current propagation path is established, and then the frozen curtain thickness detection method based on cross-hole resistivity measurement is achieved by utilizing the condition of adjacent freezing pipes. According to the method, the current propagation range is narrowed, the apparent resistivity measurement precision is improved, a traditional strong nonlinear inversion problem is simplified into a one-dimensional linear problem, and the method has the advantages of being simple, economical and practical.
Owner:CHINA COAL CONSTR GRP CO LTD +1
Method for predicting fluid activity of oil and gas reservoir
ActiveCN108952695AImprove reliabilityReliable resultsDesign optimisation/simulationBorehole/well accessoriesModel parametersSparse regularization
The invention relates to the technical field of exploration and development, and particularly discloses a method for predicting the fluid activity of an oil and gas reservoir. The method for predicting the fluid activity of the oil and gas reservoir comprises the steps that step 1, a linear approximate expression of a reflection coefficient is obtained; step 2, frequency division processing is carried out; step 3, a regrouped forward calculation operator is obtained; and step 4, an objective function is constructed under a Bayesian framework, specifically, a sparse regularization term and a low-frequency model constraint term which are introduced by prior probability distribution are added, finally, an objective functional is obtained, the gradient of a model parameter F is obtained by using the objective functional and is set as 0, a final nonlinear inversion equation of the model parameter is obtained, the value of F is evaluated by using a least square method, and a fluid activity value is obtained. The method is a frequency-dependent inversion prediction method for the fluid activity under a Bayesian theory framework, the reliability of reservoir prediction and fluid identification can be improved, so that the physical significance of calculating the fluid activity is clearer and the result is more reliable.
Owner:CHINA UNIV OF PETROLEUM (EAST CHINA)
Three-dimensional magnetic tensor gradient inversion method and device based on convolutional neural network
PendingCN114879263AGood nonlinear inversion abilityVerify accuracyWater resource assessmentNeural architecturesData graphAlgorithm
High-precision vector magnetic field detection is widely applied to the fields of celestial body magnetic field detection, aeromagnetic detection, ocean magnetic field detection, geomagnetic navigation and the like at present and is installed on airborne magnetic detection platforms such as satellites, airplanes, unmanned aerial vehicles, submarines and the like, and due to the fact that the data acquisition amount is large, calculation-intensive processes such as processing of a large amount of magnetic vector data and three-dimensional inversion are involved. The invention provides a novel inversion method for directly extracting parameters from a magnetic tensor gradient data image by using a CNN (Convolutional Neural Network) and synthesizing the parameters to generate a model matched with a detection target body. The method comprises the following steps of: performing forward modeling on a synthetic source body to obtain enough magnetic tensor gradient data samples; and adjusting a volume CNN structure, adding a shear layer, and realizing prediction of each parameter. Through single and double cube model numerical simulation, the algorithm accuracy is verified. According to numerical simulation and comparison test results, the CNN network has good nonlinear inversion capability, can realize accurate and rapid prediction of magnetic tensor gradient inversion, and is high in practicability and wide in application range.
Owner:CHINA UNIV OF GEOSCIENCES (WUHAN)
Nonlinear inversion
InactiveUS20060104395A1Digital technique networkFrequency/rate-modulated pulse demodulationNonlinear inversionEngineering
A system and method are disclosed for processing a signal propagated through a nonlinear channel. The method includes modeling the channel characteristics to produce a linearized channel model, deriving an inverse linearized channel model from the linearized channel model, and filtering the signal using the inverse linearized channel model.
Owner:AVAGO TECH WIRELESS IP SINGAPORE PTE
Computer device, equipment and method for determining structural parameters of high-voltage basin-type insulators
ActiveCN110287629BQuick TroubleshootingAvoid slow recognitionDesign optimisation/simulationNeural architecturesElement modelComputational model
Owner:STATE GRID CHONGQING ELECTRIC POWER CO ELECTRIC POWER RES INST +1
Nonlinear inversion method and system for quality factor q based on simulated annealing
ActiveCN109143345BAccurate compensation for absorptionAvoid the constant Q assumptionSeismic signal processingNonlinear inversionSimulation based
The present invention proposes a quality factor Q nonlinear inversion method and system based on simulated annealing. The method includes: using a double-well micro-logging observation system to obtain micro-logging data; extracting the same shot from the micro-logging data Calculate the attenuation curve of the excited direct wave; by introducing the prior information that the quality factor Q changes with frequency, establish a nonlinear objective function based on the attenuation curve; use the simulated annealing method to nonlinearly invert the parameters in the objective function, and then Find the quality factor Q value that varies with frequency. Compared with the existing technology, the constant Q assumption is avoided, and the frequency-varying Q value is directly calculated, which is conducive to accurately compensating the energy lost by formation absorption, and provides a data basis for high-precision imaging. This method eliminates the error introduced by the inversion method based on the constant Q assumption in the traditional method, and improves the accuracy of Q value calculation. The method utilizes micro-logging data to improve the accuracy and stability of the results.
Owner:CHINA PETROLEUM & CHEM CORP +1
A Microseismic Velocity Model Calibration Method Based on Relative First Arrival Matching Error
ActiveCN106353794BPrecise positioningLarge positioning errorSeismic signal processingRelative magnitudeSeismic velocity
The invention provides a method for correcting micro-seismic velocity models on the basis of relative first arrival matching errors. The method includes determining locations of detection points for perforation points and first arrival of perforation signals; building initial velocity models by the aid of prior information of work areas or acoustic well logging data of wells close to fracturing segments; establishing velocity model correction objective functions by the aid of relative magnitude of first arrival matching errors of locations of the perforation points and first arrival matching errors of locations of reference points around the perforation points; carrying out nonlinear inversion on the micro-seismic velocity models by the aid of genetic algorithms. The method has the advantages that the velocity models corrected by the aid of the method have the obvious relative merit that first arrival matching error sections computed by the aid of the velocity models are close to the perforation points, and accordingly the method is favorable for further positioning micro-seismic events; micro-seismic event locations which are subjected to inversion by the aid of the corrected velocity models are reliable, and the method is low in positioning error.
Owner:CHINA PETROLEUM & CHEM CORP +1
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