Abstract: Utilize the massive data in the oil and water well exploration and development process to analyze and identify oil and water wells with abnormal production, conduct in-depth exploration of abnormal changes, and propose targeted measures based on this to maintain stable oil field exploitation, efficient production, and maximize production benefits. of great significance. This paper uses big data analysis and neural network prediction methods, uses the measure database to perform machine learning and model training, and establishes neural network models for different production stimulation measures to form a production stimulation effect prediction and evaluation system based on static reservoir data, dynamic production data and measure plan parameters.

Key words: oil and water well production, production early warning, intelligent analysis, measure effect evaluation, neural network, big data