Watch the Reservoir! Improving Short-Term Production Forecast Through Transformers
Date:
On June 2024, I have presented my conference paper Watch the Reservoir! Improving Short-Term Production Forecast Through Transformers during the SPE Europe Energy Conference and Exhibition in Turin, Italy. This paper was allocated into the Machine Learning, AI and Digitalisation I section.
The presentation can be found here.
Short Abstract
Data-driven methodologies have been used in reservoir management and production forecasting, particularly demonstrating remarkable efficacy in short-term oil production forecasts. However, there is space to improve its prediction, especially in tackling the complexities of challenging reservoirs, such as the heterogeneous carbonate reservoirs from Brazilian Pre-salt fields. In this paper, we propose a new strategy to improve short-term forecasting for oil production through attention mechanisms that boost state-of-the-art methods.
Recommended citation: R. Werneck, L. A. Lusquino Filho, A. Lustosa, A. Loomba, M. M. Gonçalves, A. Esmin, S. Salavati, E. Morais, P. Ribeiro Mendes Junior, M. Zampieri, M. Amaral, O. C. Linares, M. Castro, R. Moura, D. J. Schiozer, A. Mello Ferreira, A. Davolio, and A. Rocha. Watch the reservoir! Improving short-term production forecast through transformers. volume SPE Europe Energy Conference and Exhibition of SPE Europec featured at EAGE Conference and Exhibition, page D031S016R002, 06 2024.