Porosity prediction from pre-stack seismic data via committee machine with optimized parameters
Prediction of porosity from the seismic data via geophysical methods when limited number of
wells are available is a challenging task that has high uncertainties. This study aims to …
wells are available is a challenging task that has high uncertainties. This study aims to …
Classification of Wireline Formation Testing Responses Using Unsupervised Machine Learning Methods
P Srivastava, M Bandyopadhyay… - Offshore Technology …, 2022 - onepetro.org
This paper presents a novel technique for planning and execution of Wireline Formation
Testing (WFT) jobs using recent applications of machine learning. WFT measurements …
Testing (WFT) jobs using recent applications of machine learning. WFT measurements …
[PDF][PDF] Data science applied to oil wells' behavior prediction in the Estructura Cruz de Piedra-Lunlunta oil field, Cuyana Basin, Argentina.
M Báez, LP Stinco, SP Barredo, HD Merlino - ICAI Workshops, 2021 - ceur-ws.org
Abstract The Cuyana Basin is one of the six Argentinian productive basins, recording
historical productions of more than 210 million cubic meters of oil. 5% of that production …
historical productions of more than 210 million cubic meters of oil. 5% of that production …