Michael Nole
机构: Geohydrologist, Pacific Northwest National Laboratory
每年引用次数
引用次数
引用: 890
H-指数: 18
I10-指数 : 26
出版物: 112
Progress in Deep Geologic Disposal Safety Assessment in the U.S. since 2010.
Paul Mariner , Laura A Connolly , Leigh Cunningham , Bert Debusschere
Office of Scientific and Technical Information (OSTI)
2019
Determining Methane Hydrate Equilibrium Conditions in Sediments from the Nankai Trough
Michael Nole , Hugh Daigle
Offshore Technology Conference 2014, OTC 2014 1888 -1899
1
2014
Gas hydrate reservoirs and gas migration mechanisms in the Terrebonne Basin, Gulf of Mexico
Jess I.T. Hillman , Ann E. Cook , Hugh Daigle , Michael Nole
Marine and Petroleum Geology 86 1357 -1373
50
2017
Factors Controlling Short‐Range Methane Migration of Gas Hydrate Accumulations in Thin Coarse‐Grained Layers
Li Wei , Ann Cook , Hugh Daigle , Alberto Malinverno
Geochemistry Geophysics Geosystems 20 ( 8) 3985 -4000
5
2019
Preliminary Analysis of Postclosure DPC Criticality Consequences
Laura L. Price , Abdelhalim ("Halim") A. Alsaed , Amanda Crystal Barela , Patrick Vane Brady
Office of Scientific and Technical Information (OSTI)
2020
Linking basin‐scale and pore‐scale gas hydrate distribution patterns in diffusion‐dominated marine hydrate systems
Michael Nole , Hugh Daigle , Ann E. Cook , Jess I. T. Hillman
Geochemistry Geophysics Geosystems 18 ( 2) 653 -675
16
2017
Short‐range, overpressure‐driven methane migration in coarse‐grained gas hydrate reservoirs
Michael Nole , Hugh Daigle , Ann E. Cook , Alberto Malinverno
Geophysical Research Letters 43 ( 18) 9500 -9508
40
2016
Burial-driven methane recycling in marine gas hydrate systems
Michael Nole , Hugh Daigle , Ann E. Cook , Alberto Malinverno
Earth and Planetary Science Letters 499 197 -204
10
2018
Predicting gas and hydrate presence using geospatial machine learning.
Olin Carty , Hugh Daigle , Michael Nole , Jennifer Frederick
Smpte Journal
2021
Spontaneous generation of stable CO2 emulsions via the dissociation of nanoparticle-aided CO2 hydrate
Seunghee Kim , Amin Hosseini Zadeh , Michael Nole , Hugh Daigle
Journal of Petroleum Science and Engineering 208 109203 -109203
4
2022
How Will Rapid Thaw in Permafrost Soils Lead to Ecotype-Scale Changes in Methane Fluxes?
Michael Nole , Jennifer Frederick , Chuck Smallwood , David Fukuyama
AGU23
2023
Flow and Index Properties of Permafrost Cores from Fairbanks, Alaska and Synthetic Permafrost Specimens
Tanner Mills , Peter B Flemings , Michael Nole , John Germaine
AGU23
2023
Development of a Framework for Coupled Thermal, Hydrologic, and Biogeochemical Modeling to Predict Permafrost Methane Emissions
Michael Nole , Jennifer Frederick , Chuck Smallwood , David Fukuyama
AGU Fall Meeting Abstracts 2022 B12K -1174
2022
Predicting Shallow Marine Gas Occurrence using Geospatial Machine Learning Combined with Mechanistic Subsurface Simulation.
Michael Nole , Jennifer Frederick , William Eymold , Warren Wood
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States) ( SAND2022-9529C)
2022
Convection initiated by hydrate formation and salt exclusion.
David Fukuyama , Hugh Daigle , Michael Nole , Jennifer Frederick
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States) ( SAND2021-3602C)
2021
Predicting gas and hydrate presence on the US Atlantic margin using geospatial machine learning
Hugh Daigle , Mitchel Broten , Benjamin J Phrampus , Warren T Wood
AGU Fall Meeting Abstracts 2020 OS029 -0001
2020
Induction of convective flow due to salt exclusion during hydrate formation in coarse-grained sediments
David Fukuyama , Hugh Daigle , Michael Nole , Wen Song
AGU Fall Meeting Abstracts 2020 OS034 -07
2020
Probabilistic Predictions of Offshore Gas Hydrate and Submarine Permafrost Distribution Along the Alaskan North Slope.
Jennifer M Frederick , William Karl Eymold , Michael Nole , Benjamin Phrampus
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States) ( SAND2020-13107C)
2020
A Probabilistic Modeling Framework for Forecasting Gas Hydrate Using Geospatial Machine Learning.
Jennifer M Frederick , William Karl Eymold , Michael Nole , Warren Wood
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States) ( SAND2020-2048C)
2020
A PROBABILISTIC MODELING FRAMEWORK UTILIZING OCEAN DRILLING DATA TO FORECAST CURRENT & FUTURE THERMODYNAMIC CONDITIONS ON & BELOW THE SEAFLOOR.
Jennifer M Frederick , William Karl Eyemold , Michael Nole , Benjamin Phrampus
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States) ( SAND2019-14575C)
2019