... being the synthetic maximum borehole diameter (Cmax_P) was compared with the measured caliper log. The model was trained with various machine learning algorithms including ensemble algorithms such as XGBoost and recurrent neural network (RNN). In the training process, Leave-One-Out method...

... upstream oil & gas artificial intelligence directional drilling drilling operation well logging public aape log analysis machine learning dtsm real-time prediction predicted sonic log surface drilling parameter rmse saudi aramco reservoir characterization slowness algorithm...

... a random search optimization algorithm is used. Also, different intervals along the boreholes are used to extract the lithology to find the sensitivity of the model to different interval length. The results show that the proposed model can predict the lithology with 86 percent accuracy. The model...

... algorithm machine learning upstream oil & gas sand control prediction completion installation and operations sand/solids control random forest hyperparameter sand control completion technique k-nearest neighbor nait amar supervised ml algorithm artificial intelligence selection...

... learning k-means experiment coefficient prediction data mining algorithm knowledge symposium dataset Abstract Formation drillability evaluation plays an essential role in the exploitation of shale gas reservoirs. Currently, the common methods for evaluating formation drillability mainly...

... in operational failures. This work tries to bridge this gap, and predicts an accurate value of the breakdown pressure taking into account all the underlying physical parameters involved. Specifically, we propose an improved algorithm to predict formation Breakdown Pressure which does not only take into account...

... then be used to estimate formation Breakdown Pressures (Fatahi et al., 2016). In this work, we will investigate the efficiency of a machine learning algorithm to predict formation breakdown pressures using Neural Networks. The novelty of the method investigated here comes from the fact that the training set...

... fracture point cloud experiment fracture bedding plane algorithm image stack 1. INTRODUCTION Hydraulic fracturing (HF) creates flow channels either by opening pre-existing planes of weakness or by creating new ones within the rock matrix. The geometries of these fractures differ depending...