Dynamic prediction method for surface pump pressure based on spatio-temporal data features

Abstract

A dynamic prediction method for surface pump pressure based on spatio-temporal data features includes: S. obtaining original fracturing treatment data and formation evaluation data of a plurality of wells; S. extracting fracturing treatment data from a prepad fluid initiation stage to a shut-down stage in the fracturing treatment data; S. constructing time series data with the fracturing treatment data, and construct active independent variable data by combining the fracturing treatment data and formation evaluation data; S. establishing a hybrid neural network model and a LightGBM gradient boosting model; S. training the hybrid neural network model and the LightGBM gradient boosting model with the time series data and the active independent variable; S. obtaining fracturing treatment data of a new fracturing well, and predicting with the trained models; and S. initializing weights of the prediction models, updating and iterating the weights, and obtaining a final prediction value.