Reservoir fluid identification method by using logging data based on committee machine

Abstract

The invention discloses a reservoir fluid identification method by using logging data based on a committee machine. The method comprises the following steps: 1) selecting logging data as input data; 2) normalizing the input data; 3) according to an oil testing result, obtaining a reservoir fluid type; 4) making the logging data and the fluid type to form a data set; 5) randomly dividing the data set into a training data set and a test data set; 6) selecting pre-classifiers; 7) training each pre-classifier to obtain a corresponding classification model; 8) using the test data set as an input togive a category through each classification model; 9) for each set of input data, combining the categories given by each classification model, and adopting a committee decision-making mechanism to give a final classification type. The method simulates the decision-making mechanism of the committee and combines a plurality of the pre-classifiers to reduce falling into the local minimum and make the decision of the committee more scientific and accurate.

Description

technical field [0001] The invention belongs to the technical field of reservoir fluid identification in petroleum exploration, and in particular relates to a method for identifying reservoir fluid by using logging data based on a committee machine. Background technique [0002] Geophysical logging is a continuous and in-situ geophysical parameter measurement technology along the wellbore. The measured data mainly include natural gamma ray, natural potential, deep and shallow resistivity, sound wave, density, neutron, etc., and reservoir division can be realized by using these data , fluid identification, porosity, permeability and saturation calculations. By studying the logging response characteristics of reservoirs containing different fluids, fluid identification of reservoirs can be carried out. Practice has proved that some reservoirs have obvious logging response characteristics, and it is easy to realize fluid identification. However, for low-porosity and low-permea...

AI Technical Summary

Problems solved by technology

[0010] In order to solve the problem of overfitting and falling into local minimum in a single intelligent classification algorithm, which leads to poor generalization ability, the present invention provides a method for identifying reservoir fluids based on committee machines using well logging data. On the basis of an intelligent classification algorithm, a committee decision-making mechanism is adopted to realize the identification and classification of reservoir fluids

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