... decision tree algorithm, when selecting the splitting feature for the current node, it traverses the current feature set and selects the optimal feature. In contrast, in RF algorithm, when constructing a single decision tree, for each node of the decision tree, it randomly selects a subset from the current...

... of reservoir and surface facility. The proposed workflow was tested on a synthetic case and two field cases. The plant inlet separator was chosen as the terminal node with fixed pressure and the choke pressure drop at each well was optimized to maximize production subject to different operating constraints. We...

... storage injection information geological subdiscipline porosity carbon emission unconventional resource technology conference urtec r-squared coefficient node saturation URTeC: 4044564 Machine Learning Prediction and the Impact of CO2 Injection on S-wave in 20 Years in the Legacy Well Field...

... decision making but also lead to safe and improved concurrent recovery of oil and gas and potash resources in the area. machine learning artificial intelligence log analysis fuzzy logic upstream oil & gas node pore pressure reservoir characterization us government eaton accuracy...

... & simulation reservoir simulation node urtec 3087 refinement rank fluid dynamics geometrical grid transient process corresponding computational domain corner module connection list procedure discrete fracture network grid complex reservoir resolution computational domain transmissibility value...

... grows, a dynamic conversion of FE/FV cells to PD nodes and adaptive mesh refinement are incorporated. The coupling schemes are verified against the KGD fracture propagation problem. No spurious behavior is observed near the transition between PD and FE/FV regions. In the three coupling schemes...

... & Gas lateral vertex geosteering node strat block length drilling operation graph database structure RSD geosteerer information URTeC stratigraphic depth graph database strat block unconventional resource technology conference database wellbore computing URTeC: 335 Cybersteering...

... Reservoir Surveillance Upstream Oil & Gas production monitoring production forecasting prospective resource diagnostic plot flow regime contingency possible outcome subclass commerciality reservoir production control reserves classification node Simulation RTA contingent...

..., machine learning techniques have evolved to provide unmatched insights and develop novel data-driven models. Regression tools could be as simple as least-square error or more advanced like Artificial Neural Network (ANN). ANN is a framework for machine learning algorithms. It relies on a network of nodes...

.... The centroids of these groups are then considered as the nodes of an unstructured grid, and we simultaneously solve for the stress state in each group using damped inversion. To account for the irregularity of the unstructured grid, we use the reciprocal square distance 1/r 2 as weights between nodes...

... Ettehadtavakkol spatial reasoning node wastewater disposal facility disposal hub Artificial Intelligence geographic information system category Pennsylvania unconventional resource technology conference wastewater production transportation application disposal infrastructure disposal facility...

... parameters and optimizing the well and hydraulic fracturing design. hydraulic fracturing discretization Upstream Oil & Gas flow simulation Modeling & Simulation eulerian discretization Artificial Intelligence node URTeC eikonal equation reservoir geometry hydraulic fracture...

... Reservoir Characterization Upstream Oil & Gas complex reservoir Artificial Intelligence shale gas Yanchang Formation pore structure connectivity permeability node porosity unconventional resource technology conference network connectivity entropy degree distribution pore connectivity...

... production control production logging Reservoir Surveillance Upstream Oil & Gas production monitoring Completion Installation and Operations Artificial Intelligence node fluid dynamic formation evaluation model algorithm wellbore discontinuity fluid flow injection downstream...

...) to identify lithofacies groups in the vertical profiles that possess well-defined marginal distributions in the velocity-density plane. machine learning complex reservoir tda network Artificial Intelligence node spe-178627-m urtec Reservoir Characterization Upstream Oil & Gas plane shale...