Results 71 to 80 of about 11,680 (205)
Abstract Geophysical methods provide high‐resolution spatial measurements of physical quantities sensitive to changes in soil moisture and salinity and can be used to monitor soil hydrological responses to flooding. However, extracting quantitative hydrological information from geophysical data remains challenging.
Moses B. Adebayo +10 more
wiley +1 more source
Petrophysical Variation in Central North Sea Fields [PDF]
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Agrawal, Utsav, Agrawal, Utsav
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Deep Sources of Recent Volcanism in Armenia Inferred From Ambient Noise Tomography
Abstract We perform Rayleigh wave ambient noise tomography to investigate crustal seismic velocity structure and sources of volcanism in Armenia. Armenia, a key part of the tectonically and volcanically active Caucasus‐Anatolia region, is actively being deformed by the ongoing Arabian‐Eurasian continental collision.
Kh. Meliksetian +9 more
wiley +1 more source
Low-contrast oil reservoirs have a complicated origin story that frequently results from the interaction of several different factors. The low-contrast oil reservoirs in the Daqing Oilfield’s SaPu intercalation in the Longxi Region are the main subjects ...
Jianwei Fu, Guiwen Wang, Zhipeng Xiao
doaj +1 more source
Coal Bed Methane System Modeling - Reservoir, Wells and Surface Facilities [PDF]
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Ori-Jesu, Efeoghene, Ori-Jesu, Efeoghene
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In Situ Microscale Shear Failure Mechanism in Hot Dry Rock Under Thermal Cycling
Abstract Induced shear failure is key for enhancing hot dry rock (HDR) resource exploitation, aiming to creating an extensive fracture network. Although the macroscopic shear behavior of HDR has been extensively investigated, its microscopic shear failure mechanisms remain unclear.
Bowen Liu +6 more
wiley +1 more source
Evaluation of Low Permeability, Naturally Fractured Carbonate Reservoir with Pressure Transient Analysis [PDF]
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Karamessinis, Aristeidis +1 more
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Effect of volcanic dykes on coastal groundwater flow and saltwater intrusion : a field-scale multiphysics approach and parameter evaluation [PDF]
Acknowledgments This research was primarily based on research grant‐aided by the Irish Department of Communications, Energy and Natural Resources under the National Geoscience Programme 2007–2013.
A. González-Quirós +79 more
core +3 more sources
Vector‐Based and Machine Learning Approaches for Pore Network Parameters Analysis
ABSTRACT Accurate characterization of pore structures in carbonate rocks is critical for evaluating fluid flow and storage capacity in subsurface reservoirs, a key concern in geophysical exploration and reservoir engineering. This study proposes a hybrid digital rock physics workflow that integrates deep learning–based segmentation, vectorial geometric
José Frank V. Gonçalves +4 more
wiley +1 more source
History Matching Using Principal Component Analysis [PDF]
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Sharma, Akshay, Sharma, Akshay
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