Balance and Correlation Analysis of Oilfield Injection-Production System Based on Data Mining

Appropriate water injection volume is the most basic parameter required to maintain stable formation pressure and ensure development effect of flooding in oilfields. However, determination appropriate has always been a major problem oilfield management. Based on Grey relational algorithm, this paper determines optimal connected injection-production well group through study dynamic relationship between oil wells. To specifically predict injection, Sparrow search algorithm optimisation model based Sine mapping proposed. A Sine-SSA-BP was devised both improved original BP were applied real-world data assess their predictive accuracy. The prediction results found be closer true value than average error percentage reduced by 23.86%. Therefore, new can calculate more accurately. research content provide theoretical basis for advising adjustment measures block slow down rise content, production, improve efficiency mechanical mining system.