Carbonate rock thin reservoir porosity prediction method based on seismic even and odd functions

Abstract

The present invention provides a carbonate rock thin reservoir porosity prediction method based on an seismic even and odd functions. The method comprises the following steps of: the step 101, employing a moving time window with fixed duration to capture short-term seismic signals, and obtaining an even function and an odd function of original signals on a time domain in the moving time window; the step 102, employing a well-logging curve standard and well-side seismic data to obtain a real seismic wavelet to perform standardization of amplitude spectrums of the odd function and an even function, and calculating peak amplitude attributes of the odd function and the even function; and the step 103, allowing the even function peak amplitude attributes and related seismic attribute characteristics to commonly form a multi-attribute data set, and employing multi-attribute analysis to perform fitting of actually measured reservoir porosity data, to obtain a reservoir porosity prediction result in a large scale. The method provided by the invention employs a wavelet standardization method and a method of even function and odd function extraction of seismic data to obtain attributes onlyrelated to the carbonate rock reservoir porosity, and combines a seismic multi-attribute analysis method to perform accurate prediction of the reservoir porosity.

Description

technical field [0001] The invention relates to a method for predicting the porosity of thin carbonate rock reservoirs based on seismic odd-even functions, and belongs to the technical field of geophysical exploration. Background technique [0002] In geophysical exploration, using seismic data to directly predict the physical properties of reservoirs in large areas is playing an increasingly important role in reducing exploration uncertainty. However, for carbonate reservoirs, the method of seismic data prediction is disturbed by different factors. For example, in the Sichuan Basin, an important exploration area for carbonate oil and gas in my country, the thickness of grain beach reservoirs in this area is generally tens to more than a hundred meters (Shen Anjiang et al., 2017), and carbonate rocks generally have a relatively high As a result, the traditional seismic amplitude attribute results of the reservoir are generally disturbed by the tuning effect of the top and bo...

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Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies of the traditional methods for predicting the porosity of thin carbonate reservoirs, and propose a solution to overcome the filtering effect of thin reservoirs and the difficulty in identifying lateral changes in physical properties of porous carbonate reservoirs and surrounding rocks , the present invention uses the wavelet standardization method and the seismic data odd-even function extraction method to obtain the attributes only related to the porosity of the carbonate rock reservoir, and then combines the seismic multi-attribute analysis method to accurately predict the reservoir porosity

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