Rapid production forecasting for heterogeneous gas-condensate shale reservoir

V Kumar, MH Elkady, S Misra, U Odi, A Silver - Geoenergy Science and …, 2024 - Elsevier
In the upstream oil and gas industry, production forecasting is crucial for decision making,
investment allocation, reservoir management, and field development. While traditional …

Effects of early-time production data on machine-learning-assisted long-term production forecasting

MH Elkady, S Misra, VT Kumar, U Odi… - … Conference, 17–19 June …, 2024 - library.seg.org
Production forecasting is crucial for field development. Machine Learning models have
shown the potential to overcome limitations of conventional methods like Numerical …

[HTML][HTML] An Improved Decline Curve Analysis Method via Ensemble Learning for Shale Gas Reservoirs

Y Zhou, Z Gu, C He, J Yang, J Xiong - Energies, 2024 - mdpi.com
As a clean unconventional energy source, shale gas reservoirs are increasingly important
globally. Accurate prediction methods for shale gas production capacity can bring significant …

Use of Transfer Learning in Shale Production Forecasting

S Misra, M Elkady, V Kumar, U Odi… - International Petroleum …, 2024 - onepetro.org
Production forecasting is vital in the oil and gas sector, empowering engineers with insights
for effective reservoir management. This paper introduces the concept of Transfer Learning …

Rapid Production Forecasting for Hydraulically Fractured Wells in Heterogeneous Shales

MH Elkady, S Misra, U Odi, N Meehan… - International …, 2024 - onepetro.org
Production forecasting is crucial for field development. Machine Learning models have
shown the potential to overcome limitations of the conventional methods like Numerical …