Open AccessAnalysis of Coalbed Methane Reservoir Properties Based on Grey Correlation Prediction
Author(s) -
Jianjun Wu,
Lingpeng Meng,
Bing Li,
Xiaoya Chen,
Lu Han
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/750/1/012200
Subject(s) - coalbed methane , petroleum engineering , correlation , degree (music) , methane , geology , mathematics , engineering , coal , chemistry , coal mining , geometry , physics , organic chemistry , acoustics , waste management
According to the grey system theory, this paper selects some logging parameters that are sensitive to the fluid properties of coalbed methane reservoirs, predicts the fluid properties of unknown coalbed methane reservoirs by using grey correlation analysis method, determines the correlation factor and correlation degree between the evaluation index of fluid properties of coalbed methane reservoirs and actual data, and quantitatively describes the categories of unknown fluid properties according to the correlation degree. By analyzing various logging data and comparing the identification result with the gas test conclusion, the accuracy rate is as high as 95%, which can accurately judge the gas-bearing property of the reservoir. This shows that the grey correlation prediction is feasible, with high accuracy and ideal effect.