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Petrophysical Evaluation of Natural Gas Hydrates - North Slope, Alaska
SPE Western Regional Meeting, 2016Abstract Natural gas hydrates (NGH) are an unconventional resource that are thought to contain more gas reserves than any other reservoir type. This crystal structure, formed through the combination of gas and water under suitable temperature and pressure conditions, has been evaluated in several research test boreholes around the world,
Douglas Hupp +2 more
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Evaluation of Petrophysical Parameters from Micrometer Resolved CT Data
Proceedings, 2015The portfolio of methods for pore level characterization of reservoir rocks has significantly advanced over the last decade with the advent of micron and submicron resolution computed tomography methods. This in combination with image processing software for integration of CT data with results from scanning electron microscopy measurements and ...
V. Ambati, J. Foeken, D. Guérillot
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In-situ petrophysical evaluation of heterogenous shaly-sandstone reservoirs
Presence of thin shale layers and dispersed-clay minerals in siliciclastic rocks significantly impacts the estimation of their in-situ hydrocarbon pore volume and fluid-production properties. Shale laminations introduce anisotropy, affecting storage, fluid flow, and elastic properties differently from authigenic dispersed-clay particles that often ...Eghbali, Ali, 0000-0002-6988-5914
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Integrated Workflow for Petrophysical Evaluation in Heterogeneous Carbonate Reservoirs
GOTECHAbstract The cretaceous carbonate reservoirs in South Iraq are long known for exhibiting highly varying properties within small sections of the reservoir, the interplay of rock texture and pore networks arising from depositional facies and diagenesis presents a persistent challenge in predicting inflow profiles.
W. Alward, M. Al-Jubouri
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Petrophysical Approach for Unconventional Shale Gas Resources Evaluation
2022Hassan Aharipour, Fatemeh Sadat Masoumi
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Relationship of aquifer petrophysics to hydrocarbon evaluation
International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 1986openaire +1 more source
Quantitatively evaluate a machine learning algorithm for petrophysical modeling
Second EAGE Digitalization Conference and Exhibition, 2022X. Wang, L. Truelove
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Evaluation of Petrophysical Relations by Using Cluster Analysis (Russian)
SPE Russian Petroleum Technology Conference, 2020Igor Nikolaevich Eltsov +3 more
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