Well logging is a significant method of formation description and resource assessment in
exploration and development of oil, natural gas, minerals, groundwater, and sub-surface …

This work critically evaluated the applicability of machine learning methodology applied to
automated well log creation towards reliable lithology prediction and subsequent reservoir …

The oil and gas industry faces several challenges associated with managing massive
datasets and extracting relevant information. The machine learning tools have proven to be …

Although being expensive and time-consuming, petroleum industry still is highly reliant on
well logging for data acquisition. However, with advancements in data science and AI …

Defining distinctive areas of the physical properties of rocks plays an important role in
reservoir evaluation and hydrocarbon production as core data are challenging to obtain from …

This study integrates a convolutional neural network (CNN) within the framework of robust
optimization for determining the placement of an oil production well at a petroleum reservoir …

To develop a reservoir, we need to understand the distribution of key reservoir properties.
Those formation properties are mostly derived from well log data. However, obtaining well …

Shear wave slowness is needed in reservoir characterization for seismic modeling,
amplitude variation analysis and determination of rock elastic properties. Conventional …

This study proposes three-phase saturation identification using X-ray computerized
tomography (CT) images of gas hydrate (GH) experiments considering critical GH saturation …

Sonic well logs provide critical information to calibrate seismic data and support
geomechanical characterization. Advanced subsurface data analytics and machine learning …