Results 61 to 70 of about 29,020 (224)

Estimation of subsurface porosities and thermal conductivities of polygonal tundra by coupled inversion of electrical resistivity, temperature, and moisture content data [PDF]

open access: yes, 2020
Studies indicate greenhouse gas emissions following permafrost thaw will amplify current rates of atmospheric warming, a process referred to as the permafrost carbon feedback.
Atchley, AL   +7 more
core   +2 more sources

Fourier Neural Pseudo‐Log Generator for Well Log Reconstruction and Beyond‐Record Generation

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Geophysical well logging is crucial for subsurface exploration, but its application is often hindered by incomplete data and high operational costs. To address these challenges, we propose the Fourier neural pseudo‐log generator (FNPG), a novel generative model capable of both missing well log reconstruction and generation of new, beyond ...
Zicheng Gai, Yanfei Wang
wiley   +1 more source

Petrophysical seismic inversion based on lithofacies classification to enhance reservoir properties estimation: a machine learning approach

open access: yesJournal of Petroleum Exploration and Production Technology, 2020
For estimation of petrophysical properties in industry, we are looking for a methodology which results in more accurate outcome and also can be validated by means of some quality control steps.
Amir Abbas Babasafari   +4 more
doaj   +1 more source

Effect of sedimentary heterogeneities in the sealing formation on predictive analysis of geological CO2 storage [PDF]

open access: yes, 2019
Numerical models of geologic carbon sequestration (GCS) in saline aquifers use multiphase fluid flow-characteristic curves (relative permeability and capillary pressure) to represent the interactions of the non-wetting CO2 and the wetting brine. Relative
Alkan   +69 more
core   +2 more sources

Ecological Processes Underpinning Microbial Variability in Archean Granitoids Beneath the Deccan Traps: Evidence From Deep Drilling in Koyna, India

open access: yesEnvironmental Microbiology Reports, Volume 18, Issue 3, June 2026.
Deep biosphere hosted by Archean granitoid basement of Deccan Traps showed depth‐wise microbial partitioning. Limited dispersion and variable selection control community assembly. Fewer abundant bacterial taxa were ubiquitous, while large numbers of rare taxa remained localized.
Rajendra Prasad Sahu   +5 more
wiley   +1 more source

4D Seismic History Matching Incorporating Unsupervised Learning

open access: yes, 2019
The work discussed and presented in this paper focuses on the history matching of reservoirs by integrating 4D seismic data into the inversion process using machine learning techniques.
Etienam, Clement
core   +1 more source

Continued evaluation of potential for geologic storage of carbon dioxide in the southeastern United States [PDF]

open access: yes, 2011
Southern States Energy Board Duke Energy Santee Cooper Power Southern CompanyBureau of Economic ...
Breton, C. A.   +5 more
core   +1 more source

Assessment of soil slurry saturation and slurry infiltration in pig slurry storage ponds using electrical resistivity tomography

open access: yesVadose Zone Journal, Volume 25, Issue 3, May/June 2026.
Abstract Effective management of pig slurry in semi‐arid settings is critical to protect soils and aquifers. This study integrates multi‐profile electrical resistivity tomography (ERT) compiled into stitched 3D volumes with a calibration based on modified Archie's law derived from laboratory resistivity–moisture tests to obtain semi‐quantitative soil ...
Ximena Capa‐Camacho   +6 more
wiley   +1 more source

Reservoir evaluation using petrophysics informed machine learning: A case study

open access: yesArtificial Intelligence in Geosciences
We propose a novel machine learning approach to improve the formation evaluation from logs by integrating petrophysical information with neural networks using a loss function.
Rongbo Shao, Hua Wang, Lizhi Xiao
doaj   +1 more source

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