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

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 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.

The invention discloses a seismic inversion method and system based on generalized total variation regularization, so as to solve the problem that step effects are generated inside a formation when the existing seismic inversion technology adopts total variation regularization. The method uses the characteristic that generalized total variation not only uses first-order partial derivative information of a to-be-inverted parameter but also uses second or higher-order information, the formation interface can be clearly expressed and the step effects inside the formation can also be weakened; besides, a phenomenon that a product of a wavelet matrix, a difference matrix and the natural logarithm of the to-be-inverted parameter can be used to be converted to the convolution among a convolutionkernel corresponding to the wavelet matrix, a convolution kernel corresponding to the difference matrix and the natural logarithm of the to-be-inverted parameter is found out, the convolution operation in a time domain is converted to point multiplication operation in a frequency domain, and the inversion speed is greatly improved; a reflection coefficient does not need to be inverted firstly, anddirect inversion is carried out in the frequency domain to obtain the to-be-inverted parameter; and the method and the system are applicable to the technical field of seismic exploration.

The invention relates to a nuclear magnetic resonance echo data compression method and device. The compression method comprises the steps that nuclear magnetic resonance echo data to be analyzed are acquired; the main components of the nuclear magnetic resonance echo data are acquired by utilizing the nuclear magnetic resonance echo data; a compression matrix is constructed by utilizing the main components of the nuclear magnetic resonance echo data; and the nuclear magnetic resonance echo data is compressed by utilizing the compression matrix. According to the technical scheme, information with extremely low contribution to representation of stratum characteristics and even redundant information in the original echo data can be effectively eliminated so that the characteristics of the original data can still be maintained under the condition of high compression ratio, and inversion speed can be effectively enhanced and computational memory can be reduced under the condition of being without losing accuracy.

The invention provides a method and a device for quickly and automatically generating a seismic source mechanism solution. The method comprises the following steps of: performing seismic facies pickup on real-time seismic monitoring data by using a seismic facies recognition model to obtain a seismic facies category; identifying the initial motion polarity of the real-time seismic monitoring data by using the initial motion polarity identification model to obtain the initial motion polarity of the P wave; carrying out seismic correlation on the seismic phase category to obtain a seismic correlation result; obtaining an epicenter position according to an earthquake correlation result; and according to the seismic correlation result, the epicenter position and the initial motion polarity of the P wave, carrying out inversion on the seismic phase mechanism to obtain a seismic source mechanism solution. According to the method, information such as P and S arrival time and P wave initial motion polarity is efficiently and accurately obtained by using the seismic phase identification model and the initial motion polarity identification model, and the seismic correlation result and the epicenter position are obtained based on the information, so that the workload of inverting the seismic source mechanism can be greatly reduced, and the inversion speed of the seismic source mechanism solution is improved.

The invention discloses a formation interface real-time extraction method based on while-drilling azimuth electromagnetic wave logging data. The formation interface real-time extraction method comprises the steps that s1, sliding windowing is conducted on the logging data of a large-slope well/a horizontal well; s2, if shallow detection geological signals exist, the s3 is executed, and otherwise the s5 is executed; s3, single-interface inversion is conducted through the shallow detection geological signals; s4, the optimal solution of the single-interface inversion is input into the s7 to be used as known constraint; s5, a dual-interface inversion model is established; s6, whether proximity interface information exists or not is judged, if yes, the s7 is executed, and otherwise the s8 is executed; s7, multi-initial-value selection is conducted on far formation interface positions and far surrounding rock resistivity in the model in the s5, and then the s9 is executed; s8, multi-initial-value assignment is conducted on all to-be-inverted parameters in the model in the s7; s9, on the basis of deep detection geological signals, the optimal solution of double-interface inversion is obtained; and s10, real-time imaging processing is conducted on inversion results. According to the formation interface real-time extraction method, fast and accurate interface information can be provided for real-time geological guidance.

The invention discloses a rapid processing method for array lateral logging data of an anisotropic formation of an inclined shaft. The method comprises the following steps: establishing a forward model based on a three-dimensional finite element forward algorithm, analyzing the sensitivity of an array lateral logging response to anisotropic formation parameters of the inclined shaft, constructingan array lateral logging response database, correcting an actual measurement curve and carrying out layering; selecting a corresponding database according to block formation information, establishingan inversion initial value selection plate in combination with sensitivity analysis, rapidly determining initial values of various parameters, establishing an inversion model, simulating an array lateral logging inversion curve after initialization, calculating a two-norm between the array lateral logging inversion curve and the corrected actual measurement curve, judging whether the precision requirement is met or not, if the precision requirement is met, determining the optimal anisotropic formation parameter of the inclined shaft, and if the precision requirement is not met, constraining the inversion model according to reservoir prior information, iteratively updating the formation parameters by adopting a regularized Levenberg-Marquardt algorithm until the precision requirement is met, and determining the optimal anisotropic formation parameter of the inclined shaft. The method lays a foundation for fine evaluation of complex reservoirs.

The invention discloses a Two-dimensional nuclear magnetic resonance rapid inversion algorithm based on LSQR-RSVD, and belongs to the technical field of nuclear magnetic resonance inversion. The method comprises the following steps: designing and generating a forward modeling model suitable for two-dimensional nuclear magnetic inversion; setting a certain number of iterations to invert the forwardmodeling model by using the LSQR; setting the sub-matrix dimension of the RSVD algorithm, and performing inversion by taking the output of the LSQR as the input of the RSVD algorithm; and calculatingthe inversion time, the occupied memory and the relative error and generating a two-dimensional spectrum. The invention provides a novel fast two-nuclear magnetic resonance spectrum inversion methodbased on random singular value decomposition (RSVD). A calculation result of a non-negative least squares (LSQR) is taken as an inversion initial value of the RSVD, so that the memory requirement canbe remarkably reduced and the inversion speed can be increased when two-dimensional nuclear magnetic inversion is carried out, the inversion precision can be ensured, the calculation time and the hardware cost are effectively reduced, the design is reasonable, and a good effect is achieved.

The invention discloses a power consumption attack resistance method based on a d+1-order mask, which comprises the following steps of: splitting a plaintext into a plurality of parts, enabling all mask exclusive-OR results after splitting to be equal to the plaintext, and enabling any one part to be independent from an unsplit plaintext; generating a random value mask, and updating the mask to obtain a random mask containing plaintext information; And constructing a d + 1-order security S box replacement algorithm on the basis of security multiplication to construct an integral d + 1-order mask implementation method. The method has the advantages that high-order power consumption attack protection is carried out on the lightweight block cryptographic algorithm, so that the lightweight block cryptographic algorithm can effectively resist high-order power consumption attack, and meanwhile, required calculation and space resources are few, the efficiency is high, and the method is suitable for cryptographic algorithm hardware implementation.

The invention discloses a novel calculation method for the surface soil moisture content of CBERS-02B satellite image data. The novel calculation method constructs a new inversion CBERS-02B satelliteimage data soil moisture content calculation method according to the relationship between two data sources and spectral radiance related waveband ranges, ground object reflectivity, atmospheric transmittance and incident solar energy. Besides, a large number of inspection results show that the calculation method not only improves the accuracy of soil moisture content inversion of the CBERS-02B satellite image data and accelerates the inversion speed, but also solves the problem that an algorithm for inverting the surface soil moisture content of the image data is difficult to implement and thelike, and is suitable for estimating the soil moisture content of a large-area region.