Impact of digitalization on the way of working and skills development in hydrocarbon production forecasting and project decision analysis

T Clemens, M Viechtbauer-Gruber - SPE Reservoir Evaluation & …, 2020 - onepetro.org
Hydrocarbon (re‐) development projects need to be evaluated under uncertainty.
Forecasting oil and gas production needs to capture the ranges of the multitude of uncertain …

Conditioning Model Ensembles to Various Observed Data (Field and Regional Level) by Applying Machine-Learning-Augmented Workflows to a Mature Field with 70 …

G Vanegas, J Nejedlik, P Neff… - SPE Reservoir Evaluation …, 2021 - onepetro.org
Forecasting production from hydrocarbon fields is challenging because of the large number
of uncertain model parameters and the multitude of observed data that are measured. The …

Estimation of Initial Hydrocarbon Saturation Applying Machine Learning Under Petrophysical Uncertainty

P Neff, D Steineder, B Stummer… - SPE Reservoir Evaluation …, 2021 - onepetro.org
The initial hydrocarbon saturation has a major effect on field-development planning and
resource estimation. However, the bases of the initial hydrocarbon saturation are indirect …

Determining Initial Hydrocarbon Saturation Under Petrophysical Uncertainty Applying Machine Learning

P Neff, D Steineder, B Stummer… - Abu Dhabi International …, 2020 - onepetro.org
The initial hydrocarbon saturation has a major impact on field development planning and
resource estimation. However, it is derived from indirect measurements from spatially …

Accelerating Mature Field EOR Evaluation Using Machine Learning Uncertainty Workflows Integrating Subsurface And Economics

M Bayerl, P Neff, T Clemens, M Sieberer… - Abu Dhabi …, 2021 - onepetro.org
Field re-development planning for tertiary recovery projects in mature fields traditionally
involves a comprehensive subsurface evaluation circle, including static/dynamic modeling …