...-layer reservoir modeling approach is required. This paper showcases an integrated workflow utilizing the artificial neural network assisted petrophysical facies modeling for layer determination and reservoir model creation, resulting in higher vertical resolution of injectivity values in heterogenous...

...; complexity of subsurface data.; volumes and newer subsurface data formats drive the need to rethink our approaches to data and the need for assisted/accelerated data-driven workflows. information management neural network data mining upstream oil & gas artificial intelligence interpretation...

... of a Machine Learning method to resolve the seismic-scale mapping of reservoir facies heterogeneities in the unconventional shale oil-rich TOC reservoir of the lower section of the Vaca Muerta Formation. Introduction Machine Learning and Neural Networks are now commonly used in both the traditional oil...

... Abstract The object of this study was to develop and present a solution based on Artificial Intelligence and a Recurrent Neural Network (RNN) algorithm to identify anomalies and behavioral patterns in real-time drilling sensors. The aim is to enhance data value extraction efficiency during...

... Abstract The main objective of this work is to identify and enable automatic online optimization actions in wells with plunger lift systems using machine learning. For this purpose, a fault classification model has been developed for plunger lift systems using neural networks focused...