Prediction of subsurface NMR T2 distributions in a shale petroleum system using variational autoencoder-based neural networks
Nuclear magnetic resonance (NMR) is used in geological characterization to investigate the
internal structure of geomaterials filled with fluids containing 1 H and 13 C nuclei. …
internal structure of geomaterials filled with fluids containing 1 H and 13 C nuclei. …
When petrophysics meets big data: What can machine do?
Petrophysics is a pivotal discipline that bridges engineering and geosciences for reservoir
characterization and development. New sensor technologies have enabled real-time …
characterization and development. New sensor technologies have enabled real-time …
Generation of synthetic dielectric dispersion logs in organic-rich shale formations using neural-network models
Dielectric dispersion (DD) logs acquired in subsurface geologic formations generally are
composed of conductivity ( σ ) and relative permittivity ( ε r ) measurements at four discrete …
composed of conductivity ( σ ) and relative permittivity ( ε r ) measurements at four discrete …
Noninvasive fracture characterization based on the classification of sonic wave travel times
Mechanical discontinuity in the material is generally referred as crack or fracture. Predicting
and monitoring the geometry, distribution, and condition of mechanical discontinuities are …
and monitoring the geometry, distribution, and condition of mechanical discontinuities are …
Laboratory investigation of petrophysical applications of multi-frequency inductive-complex conductivity tensor measurements
Unaccounted electrical conductivity anisotropy, dielectric permittivity anisotropy, and
interfacial polarization of reservoir rocks can adversely affect the conventional resistivity …
interfacial polarization of reservoir rocks can adversely affect the conventional resistivity …
[BOOK][B] Machine learning for subsurface characterization
… Characterization of subsurface hydrocarbon/water saturation using Markov-chain Monte
Carlo stochastic inversion of broadband electromagnetic logs Siddharth Misra and Yifu Han …
Carlo stochastic inversion of broadband electromagnetic logs Siddharth Misra and Yifu Han …
HRD indicators and branding practices: A viewpoint on the employer brand building process
U Itam, S Misra, H Anjum - European Journal of Training and …, 2020 - emerald.com
Purpose The concept of employer branding has drawn the attention of both academicians
and practitioners over a decade. However, inaction, the objective of the employer brand …
and practitioners over a decade. However, inaction, the objective of the employer brand …
Machine learning assisted segmentation of scanning electron microscopy images of organic-rich shales with feature extraction and feature ranking
Scanning electron microscope (SEM) image analysis facilitates the visualization and
quantification of the microstructure, topology, morphology, and connectivity of distinct components …
quantification of the microstructure, topology, morphology, and connectivity of distinct components …
Relative permeability estimates for Wolfcamp and Eagle Ford shale samples from oil, gas and condensate windows using adsorption-desorption measurements
Relative permeability in shales is an important petrophysical parameter for purposes of
accurate estimation of production rate and recovery factor, efficient secondary recovery, and …
accurate estimation of production rate and recovery factor, efficient secondary recovery, and …
Machine learning for locating organic matter and pores in scanning electron microscopy images of organic-rich shales
For purposes of locating kerogen/organic matter and pores in SEM images of shale samples,
we tested an automated SEM-image segmentation workflow involving feature extraction …
we tested an automated SEM-image segmentation workflow involving feature extraction …