Digital Twin Application for Boosting Oil Production, Predictive Analytics of Asset Integrity and Mid-Term Forecasting of Field Performance

Abstract

Abstract There are often situations when readings of a large number of sensors installed at the field are used as needed, rather than on a systematic basis. The paper is devoted to the experience of building and using a Digital twin (DT) of the oilfield, history matched using instrument readings at the main nodal points from the well bottom to the tank farm. Digital twin is used to solve practical problems of selecting measures to increase production, specifying the maintenance program and chemical injections, overall allocating production by wells without direct measurements of production flow and forecasting in different time horizons the entire field production.