... spatial and temporal data types. machine learning deep learning regression model complex reservoir gridblock artificial intelligence upstream oil & gas autoencoder simulation measured data application dtof map workflow fmm-based simulation test sample neural network hybrid model...

... on a small fraction of wells. In this paper, we propose and illustrate use of a novel generation hybrid model that enable viable application on every well. In addition, it provides a practical tool to simulate as many what-if scenarios as needed to identify best solutions and to assess validity of proposed...

... actions and enhance drilling performance. data mining hybrid model optimization drilling operation performance indicator benchmark ROP Drilling torsional oscillation real time system Upstream Oil & Gas oscillation drilling data holistic insight Artificial Intelligence society...

... "Hybrid Models" to accelerate this process and get more realistic history match models. Hundreds of stochastic possible geological models are produced and tested in regard to the dynamic data. The Hybrid model is a composite geological model, not only constrained by the initial well data but also...

... as the number of JACTA realizations is finite. Hybrid simulations could solve this problem and help matching the reservoir simulation model. Step 5: Hybrid geostatistical simulations The hybrid model can improve the history match when no JACTA realisation matches for all wells together and when...