In complex carbonate reservoirs, it is crucial to understand the connections between
reservoir compositions (minerals, facies, and properties). Conventionally, core samples …

The lithology log, an integral component of the master log, graphically portrays the
encountered lithological sequence during drilling operations. In addition to offering real-time …

The present study introduces an enhanced deep learning (DL) workflow based on transfer
learning (TL) for producing high-resolution synthetic graphic well logs (SGWLs). To examine …

Estuarine-systems, developed upon transgressive-phases, feature high-quality reservoir-
facies, eg tidal-bars, that are important stratigraphic-plays critical for hydrocarbon …

In the present research, a comparison between random forest and stacking ensemble
learning approaches is presented to identify breakout zones in carbonate formations based …

Abstract Machine learning-based reservoir classification method is the development trend of
intelligent exploration. In this study, a classification model, one-dimensional convolutional …

Abstract Characterization and development of hydrocarbon reservoirs depends on the
classification of lithological patterns from well log data. In thin reservoir units, limited vertical …

Deepwater carbonate reservoirs in the Brazilian pre-salt have emerged as significant
hydrocarbon plays in the region and globally. Seismic monitoring of these reservoirs is …

The continuous discovery of giant oil and gas fields in deep-water low stand fans has made
deep-water submarine fan reservoirs with huge oil and gas potential important targets for oil …

Abstract The Santos Basin, offshore Brazil, has the most significant petroleum carbonate
reservoir province in South America. The presalt carbonates reservoirs of the Barra Velha …