A Method for Extracting Parameters of Fractured-vuggy Reservoir by Image Logging

Abstract

The invention relates to an imaging logging crack and hole reservoir parameter extracting method, which is a cavern and fracture parameter extracting method based on the single-dimensional dyadic wavelet transformation of an imaging logging button electrode measuring curve. The imaging logging crack and hole reservoir parameter extracting method comprises the following steps of accurately extracting images of a cavern and a fracture; inputting an imaging logging button electrode curve segment which is scaled by shallow resistivity; performing single-dimensional dyadic wavelet transformation and decomposition on the imaging logging button electrode curve segment; selecting a single-dimensional dyadic wavelet transformation spectral order which is sensitive to the cavern and the fracture; looking for all peak points and all valley points of the selected wavelet transformation spectral order, and rejecting the peak points and the valley points according to the sizes of wavelet transformation spectral values between the peak points and the valley points; reserving screened pixel values, and drawing an imaging picture; removing measured values of background rocks in the imaging picture; and operating a single target edge tracking algorithm, and separately calculating out the circumference data, the area data, the length data and the width data of a single target when the single target edge tracking algorithm is executed. The imaging logging fractured-cavern reservoir parameter extracting method disclosed by the invention is rigorous in operating procedure, accurate in data, notable in effect and high in practicality.

Description

technical field [0001] The invention belongs to the technical field of oil field logging, and relates to a method for extracting parameters, in particular to a method for extracting parameters of imaging well logging fracture-cavity reservoirs. Background technique [0002] The electric imaging logging tool measures the micro-resistivity image information of the formation near the wellbore with depth through the measurement of the imaging logging button electrode installed on the pole plate in the wellbore, and the measured multiple curves reflect the change of the micro-conductivity of the formation ;Because the electrical conductivity of different geological bodies near the borehole wall is different, the imaging logging data can reflect geological phenomena such as bedding, fractures, and dissolution pores near the borehole wall in the form of images, with a resolution of about 5mm. The resistivity of the rock is low, and the resistivity of geological phenomena related to...

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Problems solved by technology

[0005] In fact, the conductivity image measured by imaging logging is composed of 192 (FMI) button electrode measured conductivity curves that vary with depth. For holes, fractures and other geological phenomena, only the button electrode of imaging logging is required When logging through these geological phenomena, there will be a corresponding response (change) on the conductivity curve. An important factor has not been considered in the previous image segmentation methods. The size of the mud resistivity also affects the imaging logging. In addition, due to the unevenness of the well wall during actual logging, the image logging data contains a lot of noise; therefore, the parameters of holes and fractures are extracted from the image logging data to express the reservoir permeability (effectiveness) has been a difficult goal

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