Abstract Reliable forecasting of operational parameters is essential for proactive decision making and integrity management in mature offshore wells. Monitoring signals such as pressure, temperature, and flow rate provide valuable information about well behavior but are often affected by noise, irregular sampling, and abrupt operational transitions, which limit the effectiveness of conventional forecasting techniques. This paper presents a comparative benchmarking study of forecasting models app