Well logs are commonly used by geoscientists to infer and extrapolate physical properties of
subsurface rocks. However, at some depth intervals, well log values might be missing due to …

We have introduced a Bayesian neural network in quantitative log prediction studies with the
goal of improving the petrophysical characterization and quantifying the uncertainty of model …

Formation evaluation analysis, rock-physics models, and log-facies classification are
powerful tools to link the physical properties measured at wells with petrophysical, elastic …

It is not the first time in human history, nor will it be the last for that matter, that a collective
problem calls for a collective response. Climate change fueled by greenhouse emissions …

Thorough comprehension of flow behavior in underground porous media is fundamental for
several applications such as oil and gas production, Underground Gas Storage, CO2 …

Log-facies classification methods aim to estimate a profile of facies at the well location
based on the values of rock properties measured or computed in well-log analysis …

Rock and fluid volumetric properties, such as porosity, saturation, and mineral volumes, are
generally estimated from petrophysical measurements such as density, resistivity, neutron …

This study investigated how to utilize multiple frequency components of pressure data from
periodic pulse tests to estimate the intra-well permeability and compressibility distribution …

We have developed a technique to design and optimize reservoir lithofluid facies based on
probabilistic rock-physics templates. Subjectivity is promoted to design possible facies …

Porosity is an important petrophysical parameter that determines the amount of fluid,
including oil, water, and gas contained within the rock. In petroleum exploration, it plays a …