This paper presents the application of an unsupervised neural network to classification of
seismic facies based on a unique combination of stratigraphic and structural seismic …

Oil-and-gas field development projects are capital-intensive, and optimizing profitability has
always been a critical subject for the industry. This paper presents a mixed-integer linear …

Several mathematical ROP models were developed in the last five decades in the petroleum
industry, departing from rather simple but less reliable R‐W‐N (drilling rate, weight on bit …

We use 3-D seismic data from an unnamed oilfield to characterize the internal architecture,
structure, and porosity and permeability distributions in ultra-deep (> 6 km) Cambro …

Until very recently, the petroleum system of Brazilian presalt reservoirs could not count on
good enough seismic imaging to support the seismic interpretation. In the 90's, the decision …

An embedded model estimator (EMBER) petrophysical modeling algorithm has been
applied to obtain effective porosity and permeability within the presalt carbonate reservoirs …

The drilling of oil wells is one of the most expensive steps in oil exploration. It requires a high
initial investment and it offers an uncertain economic viability. Thus, laboratory tests seek to …

Methods for improved interpretation of NMR data acquired from industrial samples by
simultaneously detecting more than one resonant nucleus without removing the sample from …

This thesis aims to build workflows using innovative 3D reservoir characterization
techniques that have the capacity of provide robust, automatized, and with fair predictability …

L'efficacité du forage est très importante pour toute opération minière et doit être effectuée
de la meilleure façon pour atteindre l'objectif fixé au moindre coût et dans les meilleures …