3 results about "Bregman iteration" patented technology

The application discloses a kind of sparse generalized W transform gas reservoir characterization time-frequency analysis method, for the first time L1 norm is introduced to the mathematical relationship between generalized W transform and seismic signal for sparse constraint, and is solved using Bregman iteration algorithm, to obtain a kind of analysis result with higher time-frequency resolution.The method absorbs the advantage that generalized W transform highlights low-frequency information of seismic signal, avoids the problem of main frequency splitting, and provides a more sparse time-frequency representation for non-stationary seismic signals. When applied to the time-frequency analysis of actual seismic data, it can provide a high-precision seismic spectral decomposition result for gas reservoirs, thereby more accurately delineating the low-frequency abnormal area of gas reservoir.

The application discloses a normalized W transform method based on local frequency constraint and used for gas reservoir identification. The method firstly inputs a seismic signal, adopts total variation regularization combined with Bregman iteration to solve local frequency, and improves stability and noise resistance of frequency estimation; on the basis, a standard deviation function fusing local frequency constraint, frequency deviation suppression and amplitude adaptive adjustment is constructed, adaptive regulation and control of a W transform analysis window are realized, a time-varying main frequency normalization mechanism is introduced, and a high-resolution time-frequency spectrum is obtained; finally, at least two characteristic frequency points are selected based on energy accumulation distribution of the time-frequency spectrum, linear fitting is performed on the characteristic frequency points, a frequency attenuation gradient attribute is calculated, and the frequency attenuation gradient attribute is used for representing distribution characteristics of the gas reservoir.

The invention provides a stator vibration detection-oriented strip noise removal method in any direction. The method comprises the following steps of: 1, deploying stator vibration detection equipment and acquiring data; step 2, constructing a variational stripe noise removal model; step 3, solving based on a split Bregman iteration model; and step 4, outputting the denoised stator vibration image u. According to the method, stripe noise in multiple directions can be removed at the same time, and the application range of an existing model is effectively expanded.