38results about How to "Increase inversion speed" patented technology

The embodiment of the invention provides an inversion method of a transient electromagnetic resistivity. The method is characterized in that the method comprises: (1), an initial inversion model is set, inversion is carried out on the initial inversion model, and a corrected inversion model is obtained (2), layer number refining, inversion, and correction are carried out on the corrected inversion model; (3), the step (2) is repeated until the number of times of the layer number refining of the corrected inversion model reaches a preset value or the fitting error of the corrected inversion model response and the observation data is less than a first threshold value. According to the embodiment of the invention, the method has the following beneficial effects: refining is carried out on the inversion model gradually, so that the dependency on the initial model by the inversion process is reduced and the convergence of the inversion process is improved. Moreover, the number of times of iterations is reduced to the certain extent and the inversion speed is accelerated.

The invention relates to an inversion method and system of temperature and pressure profiles. The method includes: retrieving corresponding data from a data set according to selected month information and longitude and latitude information, and carrying out classification and library storage on the retrieved data to obtain a corresponding training sample library; obtaining a corresponding training sample set from the training sample library by matching according to occultation observation information, and generating a corresponding simulation light spectrum according to the training sample set obtained by matching and a model invoked for selection; and calculating and obtaining a regression coefficient of a corresponding observation spectrum according to the training sample set obtained by the matching, the corresponding simulation spectrum and a selected statistical regression model, and calculating and obtaining the corresponding temperature and pressure profiles according to a regression system and the satellite observation spectrum. The inversion method of the temperature and pressure profiles of the invention is suitable for use in a sensor of occultation observation geometry, and meets requirements of the service running system timeliness at the same time.

The invention discloses a method for increasing the inversion speed of concentration of a greenhouse-gas vertical column. The method increases the inversion speed of concentration of the greenhouse-gas vertical column through two ways of increasing a spectrum modeling speed and a continuous calculation speed for the concentration of vertical column. In the spectrum modeling process, the modeling speed is increased by ignoring the influence of some weak interference factors and discretized radiative transfer equations. In the continuous inversion process of concentration of the greenhouse-gas vertical column, a table look-up method is adopted to increase the calculation speed of the concentration of the greenhouse-gas vertical column: the solar normalized radial brightness and weighting function of all possible scenes are simulated firstly, correction factors are counted when all spectra adopt the value of simulation of one specific scene for inversion fitting, and a correction chart is made; during follow-up data processing, the measurement spectra of all scenes can adopt the value of simulation of the specific scene for fitting, only the fitting result multiplies by corresponding correction factors in the chart, and the measurement spectra of all scenes do not need modeling.

The invention discloses a dual-mode non-destructive testing method for dielectric functional gradient insulation. First, the boundaries of different density regions are obtained by segmenting the density changes at different positions inside the three-dimensional insulator, and then the geometric information is used as input, according to the measured boundary plate. The change of capacitance obtains training samples, which are trained after normalization; the functionally gradient insulator boundary capacitance matrix is ​​substituted into the trained model, and the value of the dielectric constant in the corresponding material partition inside the insulator is obtained to complete the non-destructive testing. The invention combines the advantages of high spatial resolution of ICT and direct dielectric inversion of ECT to realize the non-destructive testing requirements of dielectric functional gradient insulation with fixed shape and parameters, and solves the parameter inversion process while improving the inversion speed through machine learning algorithm nonlinear and ill-conditioned problems.

The invention discloses a microearthquake inversion algorithm which is a combined inversion positioning method based on grid search and Newton iteration. The algorithm is roughly divided into two parts, according to the first part, grid division is performed in the area where a microearthquake event happens, and the rough position where the microearthquake event happens is obtained through the grid search method; the second part is the Newton method, and the initial iteration value during Newton method inversion is the result of the grid search method in the first part. The defect that the Newton iteration method excessively depends on the initial iteration value is overcome, the number of iterations is reduced, and a target function can be well converged close to a theoretical true value finally.

The invention discloses a fast microwave imaging method. In each iteration of the DBIM algorithm, the inversion speed is improved by calling this efficient direct problem solver to calculate the direct problem. At the same time, in order to make the whole inversion algorithm perform iterative inversion stably, the truncated singular value decomposition (TSVD) technique is adopted, which avoids a large number of numerical tests to determine the regularization term. In order to further reduce the amount of calculation, in the cost function of the inversion algorithm, the incident field is used instead of the total field. Therefore, the invention can perform inversion quickly and stably, ensuring the image inversion speed and quality.

The invention relates to a method for accurately detecting the earth gravity field, in particular to a method which includes: based on the load error analysis theory, accurately building the distance error between satellites of a K wave band distance meter, the satellite orbit position error and the orbital velocity error of a global positioning system (GPS) receiver and an error model in which accumulative geoid accuracy is affected by the nonconservative force error coalition of a satellite-bone accelerometer, and further accurately and rapidly inversing the earth gravity field. The method is high in inversion accuracy of the earth gravity field, simple in satellite gravity inversion process, low in performance requirements of a computer and definite in physical meanings of a satellite observation equation, and effectively improves inversion speed on the premise of ensuring calculation accuracy. The satellite gravity inversion method based on the load error analysis theory is an effective method for calculating the earth gravity field which is high in accuracy and spatial resolution.

The invention discloses a fast two-dimensional density inversion method based on a physical property function. The method comprises the following steps of: S1, collecting gravity data by field actual measurement; S2, determining the physical property function order of an inversion area according to the gravity data or the existing data; S3, transversely subdividing the inversion area in the underground half space according to the distribution of the physical property function; S4, establishing a corresponding kernel function matrix; and S5, performing forward modeling on the parameter inversion result, and checking the inversion fitting degree. The fast two-dimensional density inversion method introduces the physical property function, reduces the memory occupation during operation and improves the operation speed; a construction mode of an underground half-space density model when a physical property function is introduced; the inversion speed is improved; and less memory space is occupied in the calculation process.

The invention discloses a formation anisotropic resistivity extraction method based on electromagnetic wave logging data while drilling, comprising the steps of: s1. performing environmental correction on the input electromagnetic wave logging curve while drilling; s2. acquiring block geological structure information; s3. Sliding window processing of logging data; s4. Establishing a single-interface inversion stratigraphic model; s5. Judging whether there is an inversion result of the previous sliding window, and if so, execute step s6; otherwise, execute step s8; s6. The inversion result of the previous sliding window is used as the initial value of the inversion of the current sliding window; s7. Use the nonlinear optimization algorithm to invert the electromagnetic logging data while drilling. If not, execute step s9; otherwise, execute step s8; s8. Adopt adaptive multi-initial value selection method, combined with nonlinear optimization algorithm to invert electromagnetic logging data while drilling; s9. Optimize and select multiple inversion results . The invention can provide accurate resistivity information for real-time geosteering and reservoir evaluation.

The invention discloses a real-time extraction method of formation interface based on azimuth electromagnetic wave logging data while drilling. The extraction method includes the steps: s1. Sliding windowing on the logging data of highly deviated wells / horizontal wells; s2. If there are shallow detection geological signals, then perform step s3, otherwise perform step s5; s3. Use shallow detection geological signals signal, perform single-interface inversion; s4. input the optimal solution of single-interface inversion into step s7 as a known constraint; s5. establish a double-interface inversion model; s6. judge whether there is adjacent interface information; Execute step s7, otherwise execute step s8; s7. select multiple initial values ​​for the remote formation interface position and far surrounding rock resistivity in the model described in s5, and then go to step s9; s8. Assign multiple initial values ​​to the inversion parameters; s9. Obtain the optimal solution for dual-interface inversion based on the deep detection geological signals; s10. Perform real-time imaging processing on the inversion results. The invention can provide fast and accurate interface information for real-time geosteering.

The invention relates to a gravity satellite formation orbital stability optimization design and an earth gravity field precision inversion method on the basis of disturbing inter-satellite distance principle, in particular to an orbital stability optimization design method for a four-satellite system (FSS). In order to guarantee the stability of the four-satellite system, the quantity of satellite orbits is optimally designed, orbital semi-major axes, orbital eccentricities, orbital inclinations and right ascensions of ascending nodes keep unchanged, the difference of arguments of perigees each pair of satellites and the difference of mean anomalies of the pair of satellites are 180 degrees respectively, an initial argument of perigee of each satellite is arranged at the equator, an initial mean anomaly of each satellite is arranged at a pole, and the ratio of the semi-major axis of each elliptical orbit of the four-satellite system to a semi-minor axis of the elliptical orbit of the four-satellite system is 2:1. The gravity satellite formation orbital stability optimization design and the earth gravity field precision inversion method have the advantages that an earth gravity field is precisely and quickly inverted on the basis of a disturbing inter-satellite distance process; and the orbits are high in stability owing to the method, the earth gravity field computation precision is effectively improved, the gravity field inversion speed is increased to a great extent, and requirements on the performance of a computer are low.