The invention provides an
igneous rock fluid identification method based on a CXDF
algorithm, and the method specifically comprises the following modules: S1, data preprocessing: obtaining core and
logging data of a research area, and sorting the data into a table file in an xlsx format; performing logarithm
processing on the specified
logging data; performing normalization
processing on the
logging data; 78% of the preprocessed data is a training
data set, and 22% of the preprocessed data is a
verification data set; dividing a training
data set label into two parts, namely multi-
hydrocarbon and low-
hydrocarbon; s2, model establishment: constructing a fluid identification model based on a CXDF
algorithm and other
artificial intelligence algorithms; constructing a
simulation well based on the
verification data set; identifying the simulated well according to the fluid identification model; s3, model optimization: performing model evaluation and model comparison based on a table, a
radar map and a
histogram; and determining an optimal fluid identification model. According to the method, rebalance
processing is carried out on the data set based on an adaptive multi-target group cross optimization
algorithm, and recognition of the complex lithologic
igneous rock reservoir fluid is realized in combination with an integrated learning model.