Efforts towards producing low-carbon fossil fuels and renewable energy resources have
increased significantly within the last two decades and are expected to grow even more in …

Artificially intelligent and predictive modelling of geomechanical properties is performed by
creating supervised machine learning data models utilizing artificial neural networks (ANN) …

The bedding characteristics of shale are relatively developed, resulting in obvious
anisotropy of shale. The calculation model based on isotropic assumption is no longer …

Known for its highly anisotropic character, the Tuscaloosa Marine Shale (TMS) is an
economically challenged formation in need of improved stress estimates. To avoid steep …

Abstract The Eagle Ford Formation in Texas, USA is composed of marl and interbedded
limestone sequences with intermittent layers of volcanic ash. To optimize hydrocarbon …

The complexity of the micropore fabric and organic texture in tight unconventional reservoirs
often complicates their correlations with physical rock property parameters. Anisotropy …

Shear wave acoustic velocity (Vs) for the Bakken formation of the Williston Basin (North
America) is predicted with high accuracy using an optimized data matching supervised …

To avoid steep declines in the Tuscaloosa Marine Shale (TMS) production, wells are fracture-
stimulated to release the hydrocarbons trapped in the matrix of the formation. An accurate …

Organic-rich gas shales are often composed of thin laminated structures and, thus, may be
considered as transversely isotropic material. The shale's anisotropic properties are affected …

Gaining knowledge and understanding of the relationships that exist among variables in
datasets are essential for many topics relevant to the upstream natural gas industry. In many …