A Method for Separation of Extreme Value Feature Points and Waveform Reconstruction of Seismic and Logging Data Waveforms

Abstract

The invention relates to a method for feature points separation and waveform reconstruction of waveform extreme value of seismic and logging data. The method comprises the following steps: determining a central reference line of one-dimensional signals of the seismic and logging data; respectively calculating a left maximum value point set and a right maximum value point set on an initial-level waveform; processing the longitudinally neighboring left and right maximum value points by continuous linear interpolation to obtain an intersection point set with the central reference line or an interpolated minimum value point set of the maximum value point in the same region; reconstructing a primary waveform; carrying out extreme value set screening, interpolation and secondary new waveform reconstruction by using the primary waveform as the initial waveform; repeating the above steps by this analogy to obtain a 2D or 3D frequency division waveform data cube. The method provided by the invention can develop conventional seismic geological interpretation, seismic attribute analysis and inversion interactively and jointly, and can realize interactive verification, comparative restriction and quality monitor of the seismic interpretation result of multi-band seismic profile and body, thereby comprehensively improving the reasonability and reliability of the geological interpretation result.

Description

technical field [0001] The invention belongs to the geophysical prospecting technology, in particular to a method for separating the extreme value characteristic points of the seismic and well logging data waveform and reconstructing the waveform by converting the waveform signal of the processed data of the seismic and well logging. technical background [0002] In geophysical prospecting technology, it is necessary to more accurately decompose the multi-scale geological information contained in complex seismic or logging mixed-frequency waveform signals, and select reasonable, effective, and consistent with sedimentary evolution laws (according to the development scale of geological bodies, cycles, periods, size) frequency division transformation is a powerful means. Taking seismic waves as an example, seismic waveform records reflect the dynamic characteristics of seismic waves and are also the source attributes of all seismic attributes. They have always been the object ...

AI Technical Summary

Problems solved by technology

[0003] The common problems and deficiencies in the current waveform signal conversion methods are: ①Due to the complexity of the seismic or well logging signal itself, a relatively reasonable and more widely practical conversion method has not been found so far, and it can be realized along the Rigorous mathematical definition (formula)→clear physical meaning→clear geological meaning is an ideal and complete technical path, especially many advanced, complex and advanced data transformations mostly only stay at the level of mathematics or physics or mathematics + physics superior

②Each data transformation method and principle has uncertain factors, deficiencies and limitations, and is restricted by its strict theoretical assumptions, geological background, and the quality of the original data itself in practice, and many methods themselves ignore Geology-geophysics basic connotation, algorithm selection lacks purpose, effectiveness and pertinence

③ The frequency division processing of waveform signals lacks rationality, unclear purpose, randomness, ambiguity, human intervention, and multiple solutions. The actual application effect varies greatly, and the overall effect is not ideal, especially without real It is a blank in the field to organically and closely link the multi-scale (frequency division) of the waveform signal with the hierarchical nature of the depositional unit (sequences of depositional evolution).

④ Insufficient attention has been paid to the important feature elements and the special geological meaning contained in the waveform signal, and the utilization rate is very low, failing to give full play to their unique advantages

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