The invention provides a gas field reservoir
lithology earthquake prediction method based on CCIDI cleaning and TransMSAE, and the method comprises the steps: constructing a CCIDI cleaning module, and employing a well-divided
lithology-divided strategy: employing IQR to remove statistical anomalies, employing
DBSCAN to remove boundary
noise, employing Isolation Forest to remove high-dimensional
residual noise, and forming a high-quality
logging data set; the method comprises the following steps: constructing a TransMSAE model: pre-standardizing a Transform
encoder to capture long-range dependence, and providing robust
time sequence representation; multi-scale
convolution is introduced into the MSCCAM to extract a local-global mode, and cross attention is fused to improve complex deposition dynamic
perception; aMFEM gating residual self-adaptively enhances
minority class features, and
minority class recognition is remarkably improved; designing NAFL-ProtoLoss mixed loss: NAFL focus inhibition easy-to-classify samples,
ecological niche punishment over-confidence prevention, ProtoLoss
zoom-in class inward pushing-out between classes, and optimization of unbalanced classification; finally, training and reasoning are carried out based on the model, and high-precision
lithology prediction is achieved. The method provided by the invention has high generalization and accuracy, and has excellent reservoir prediction performance in a complex geological environment.