... ( t < t m i n ) P 0 e − t a ( t ≥ t m i n ) According to Blasingame (2022 ), Eq. 6 is the primary model used in production forecasting and reserve estimation in recent years. In addition to the modified hyperbolic model, Ilk et al...

... indicated the best performance compared to other deep learning methods. This approach is trained on different Volvo field datasets to assist in gas production. deep learning forecasting geologist artificial intelligence neural network production forecasting geology machine learning production...

... Abstract Production forecasting and management in oil and gas operations traditionally rely on manual, Excel-based workflows that pose significant challenges in accuracy, efficiency, and integration of operational activities. This paper presents an innovative web-based digital solution...

... geology complex reservoir haiba block mudrock rock type shale gas production forecasting modeling & simulation reservoir surveillance production monitoring reservoir geomechanics production control mudstone reservoir characterization geological subdiscipline shallow shale ga adsorption...

... enhanced efficiency and accuracy but also fosters a deeper understanding of reservoir behavior and production dynamics. sedimentary rock deep learning geologist decline curve analysis clastic rock rock type geology production forecasting artificial intelligence machine learning paper...

... Abstract Analyses have been widely applied in production forecasting of oil and gas production in both conventional and unconventional reservoirs. In order to forecast production, to estimate reservoir properties, or to evaluate resources, various statistical and machine learning approaches...

... Abstract Having a robust field development plan (FDP) for mid-size mature oil fields generally poses considerable challenges in the context of the integrational elements of production forecast, operational environment, projects and surface facilities. An integrated FDP combined with data...

... monitoring n-beat production logging reservoir surveillance machine learning algorithm architecture horne number production forecasting hyperparameter blockrnn block recurrent neural network deep n-beat model Introduction In the oil and gas industry, fluid rates prediction is important...