Results 81 to 90 of about 7,199,039 (242)
History Matching Using Principal Component Analysis [PDF]
Imperial Users ...
Sharma, Akshay, Sharma, Akshay
core
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
Petrophysical parameter estimation using Biot-poroelastic full-waveform inversion
SUMMARY The increasing need for petrophysical parameter inversion has spurred the advancement of full-waveform inversion (FWI). This study introduces a new inversion method that can directly estimate petrophysical parameters from seismic waveform data.
Haiwei Wang +4 more
openaire +1 more source
Liquids-Rich Shale Evaluation: Modelling and Optimization of Hydraulically Fractured Liquids-Rich Shale Wells [PDF]
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Cunha, Marco, Cunha, Marco
core
Understanding pore structure and methane sorption (MS) in shale gas reservoirs is critical for accurately estimating gas‐in‐place and prospective natural gas resources. The Longmaxi Shale, a leading formation for deep shale gas development in China, faces challenges in its economic production due to its strong spatial heterogeneity, complex pore ...
Xianggang Duan +11 more
wiley +1 more source
Petrophysical investigations are fundamental to natural resource exploration. In order to recognise the geothermal potential of sedimentary rocks in central Poland, 259 samples were collected from prospective deep-lying geothermal reservoirs.
Sowiżdżał Anna, Semyrka Roman
doaj +1 more source
Petrophysical Variation in Central North Sea Fields [PDF]
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Agrawal, Utsav, Agrawal, Utsav
core
Review of artificial intelligence applications in geothermal energy extraction from hot dry rock
This paper systematically summarized the applications of artificial intelligence (AI) in hot dry rock (HDR) geothermal exploitation and discussed the limitations and opportunities. A novel intelligent HDR exploitation system was proposed to promote the development of HDR toward more efficiency, economy, and intelligence.
Kun Ji +5 more
wiley +1 more source
Coal Bed Methane System Modeling - Reservoir, Wells and Surface Facilities [PDF]
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Ori-Jesu, Efeoghene, Ori-Jesu, Efeoghene
core
Gels for CO2 geo‐storage and conformance control: A systemic review of behavior and performance
This review provides a systemic evaluation of potential sealants used in CO2 subsurface storage practices. Critical analyses of how external factors like CO2, pH, brine salinity and hardness, rock mineralogy, pressure, temperature, and injectivity could affect the performance of different sealants are provided. Abstract Carbon capture and storage (CCS)
Funsho Afolabi +6 more
wiley +1 more source

