Indentification Method Research In Thin Reservoir By Hilbert-Huang Transform

Hilbert transform defined by the real and imaginary parts of the instantaneousfrequency, instantaneous phase and instantaneous amplitude information. However,not all of the complex signal to meet the conditions of the Hilbert transform. Huangtransform in the complex signal will be decomposed into a series of narrow-bandsignal, the boundary effect in the decomposition process will lead to the data at bothends of the divergence phenomenon, will lead to decomposition of the result of aserious distortion.Huang Transform boundary conditions for this phenomenon, improvement, andto live by the polynomial fitting process to control the boundary conditions, and thismethod compared with the existing orthogonal mode decomposition method, alsoverify the completeness and orthogonality of the method, and then through the thinreservoir model data simulation, seismic attribute extraction, improved Hilberttransform instantaneous amplitude, instantaneous frequency and instantaneous phaseprofile, compared with the original seismic profile Hilbert transformation method totest this improved ability to identify the thin reservoir.This paper clarifies thebackground and significance of the papers in the Hilbert Huang transform based onthe theory, the end effect of further repression, and on this basis, the forward modelsimulation, and signal transient characteristic properties, the main research topicsinclude: elaborate on the Hilbert transform for the theory of transient featureextraction and Huang transform to include the intrinsic mode functions, cubic splineinterpolation, the theory of the decomposition process; based on the Hilbert Huangtransform to further repression of the end effect at this stage, compared with theexisting orthogonal mode decomposition method to suppress the endpoint effect.Design tilt of the thin layer model, based on the Hilbert Huang transform algorithm inthe thin layer model information on the transient characteristics better recognition,better identify the effect of model data; thin design of gas hydrate reservoir forward The model, based on the Hilbert Huang transform algorithm for the identification ofthin reservoir in the actual data section profile from the instantaneous amplitude,instantaneous frequency, instantaneous phase profile of the original seismic profileprocessing, and achieved good results.The application of the algorithm, the actual data to obtain a better effect of thethin reservoir identification of the actual data.This study results show that the highresolving power of the Hilbert Huang transform in time-frequency analysis, a betterability to identify the thin reservoir Hilbert Huang transform in seismic data analysisand processing are still higher than good effect, the actual data to verify this methodand its application...