Related references
Note: Only part of the references are listed.Combining Image Recognition and Simulation To Reproduce the Adsorption/Desorption Behaviors of Shale Gas
Kui Lin et al.
ENERGY & FUELS (2020)
Nanoconfined Transport Characteristic of Methane in Organic Shale Nanopores: The Applicability of the Continuous Model
Hao Yu et al.
ENERGY & FUELS (2020)
The time-temperature-maturity relationship: A chemical kinetic model of kerogen evolution based on a developed molecule-maturity index
Xiaohe Wang et al.
FUEL (2020)
Kinetic models of vitrinite, kerogen, and bitumen reflectance
Alan K. Burnham
ORGANIC GEOCHEMISTRY (2019)
The Constructions and Pyrolysis of 3D Kerogen Macromolecular Models: Experiments and Simulations
XiaoHe Wang et al.
GLOBAL CHALLENGES (2019)
Deep learning in agriculture: A survey
Andreas Kamilaris et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
Molecular simulation of adsorption behaviors of methane, carbon dioxide and their mixtures on kerogen: Effect of kerogen maturity and moisture content
Liang Huang et al.
FUEL (2018)
Recent Trends in Deep Learning Based Natural Language Processing
Tom Young et al.
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE (2018)
Combined Effect of Pressure and Shear Stress on Penny-Shaped Fluid-Driven Cracks
Wenhao Shen et al.
JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME (2018)
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
David Silver et al.
SCIENCE (2018)
Quasi-Static Crack Growth Under Symmetrical Loads in Hydraulic Fracturing
Wenhao Shen et al.
JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME (2017)
Characterization of pore structure, gas adsorption, and spontaneous imbibition in shale gas reservoirs
Xianfu Huang et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2017)
Deep Learning for Health Informatics
Daniele Ravi et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2017)
Using graphene to simplify the adsorption of methane on shale in MD simulations
Kui Lin et al.
COMPUTATIONAL MATERIALS SCIENCE (2017)
PubChem Substance and Compound databases
Sunghwan Kim et al.
NUCLEIC ACIDS RESEARCH (2016)
Mastering the game of Go with deep neural networks and tree search
David Silver et al.
NATURE (2016)
Realistic molecular model of kerogen's nanostructure
Colin Bousige et al.
NATURE MATERIALS (2016)
Geological Disaster Recognition on Optical Remote Sensing Images Using Deep Learning
Ying Liu et al.
PROMOTING BUSINESS ANALYTICS AND QUANTITATIVE MANAGEMENT OF TECHNOLOGY: 4TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT (ITQM 2016) (2016)
Deep learning in neural networks: An overview
Juergen Schmidhuber
NEURAL NETWORKS (2015)
Molecular Modeling of the Volumetric and Thermodynamic Properties of Kerogen: Influence of Organic Type and Maturity
Philippe Ungerer et al.
ENERGY & FUELS (2015)
Geological controls on the methane storage capacity in organic-rich shales
Matus Gasparik et al.
INTERNATIONAL JOURNAL OF COAL GEOLOGY (2014)
Three-Dimensional Structure of the Siskin Green River Oil Shale Kerogen Model: A Comparison between Calculated and Observed Properties
Anita M. Orendt et al.
ENERGY & FUELS (2013)
Effect of organic-matter type and thermal maturity on methane adsorption in shale-gas systems
Tongwei Zhang et al.
ORGANIC GEOCHEMISTRY (2012)
CBM and CO2-ECBM related sorption processes in coal: A review
Andreas Busch et al.
INTERNATIONAL JOURNAL OF COAL GEOLOGY (2011)
MestRe Nova
Mark Robert Willcott
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (2009)
NMR: prediction of molecular alignment from structure using the PALES software
Markus Zweckstetter
NATURE PROTOCOLS (2008)
Direct characterization of kerogen by x-ray and solid-state 13C nuclear magnetic resonance methods
S. R. Kelemen et al.
ENERGY & FUELS (2007)
Kerogen origin, evolution and structure
M. Vandenbroucke et al.
ORGANIC GEOCHEMISTRY (2007)
Changes in type II kerogen density as a function of maturity: Evidence from the Kimmeridge Clay Formation
KS Okiongbo et al.
ENERGY & FUELS (2005)
Molecular model of Estonian kukersite kerogen evaluated by 13C MAS NMR spectra
Ü Lille et al.
FUEL (2003)
Share Paper
