A Fluid Identification Method Based on Correlation Coefficient and Envelope Area of ​​Well Logging Curve

Abstract

The invention discloses a fluid identification method for a correlation coefficient and an envelope area based on logging curves. The fluid identification method includes the steps that sound waves and deep induction resistivity are moved into the same curve track, and the scale is adjusted to make the sound waves and the deep induction resistivity coincide in a mudstone section; and then the correlation coefficient and the size of the formed envelope area of the two curves at a reservoir section are calculated, the relationship between the correlation coefficient, the size of the formed envelope area and fluid properties of a reservoir is determined by combining with well test and production test data, a relationship chart used for quantificationally identifying an oil-water layer is obtained, and continuous interpretation evaluation is conducted on a well in a research area by using an established fluid identification method. According to the fluid identification method for the correlation coefficient and the envelope area based on the logging curves, misleading of change of the sizes of the sound waves and the deep induction resistivity caused by multiple logging series and a compaction function to the judgment of the fluid properties of the reservoir can be avoided, and in an oil field of multiple logging series and the large reservoir burial depth gap, the judgment and identification effect is good, and the accuracy is high.

Description

technical field [0001] The invention relates to the field of reservoir fluid property evaluation, in particular to a fluid identification method based on a correlation coefficient and an envelope area. Background technique [0002] The main methods of reservoir identification methods include crossplot method, support vector machine of array induction logging, nuclear magnetic resonance water spectrum method, shift spectrum method and difference spectrum method, and logging curve correlation analysis method. The use of special logging data such as NMR is good for identifying reservoir fluid properties, but in oilfield blocks where special logging data is lacking, using traditional conventional logging data to establish a crossplot to identify fluid properties, due to the variety of logging series, Due to reasons such as enhanced compaction and ash in the reservoir, the traditional crossplot chart, which relies on the acoustic time difference and the absolute value of the deep...

AI Technical Summary

Problems solved by technology

The use of special logging data such as NMR is good for identifying reservoir fluid properties, but in oilfield blocks where special logging data is lacking, using traditional conventional logging data to establish a crossplot to identify fluid properties, due to the variety of logging series, Due to reasons such as enhanced compaction and ash in the reservoir, the traditional crossplot chart, which relies on the acoustic time difference and the absolute value of the deep-sensing resistance value to identify the fluid properties, cannot meet the production needs.

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