Results 11 to 20 of about 29,750 (257)
Journal of Engineering Research and Reports, 2023 Machine learning is a form of artificial intelligence that is applicable in all fields of study. It incorporates many algorithms used in carrying out various tasks such as classification, predictions, estimations, comparisons, approximations ...
E. Johnson +4 more
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Molecular Dynamics of Nanodroplet Coalescence in Quasi-Saturated Vapor
Fluids, 2023 The dynamics of coalescence of small Lennard–Jones droplets as a function of droplet size and temperature is explored with molecular simulations. Droplet sizes vary from several hundred to several thousand molecules, and three different temperatures are ...
Dmitry Beloborodov, Aleksey Vishnyakov
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Indonesian Journal of Science and Technology, 2022 Central Sumatra basin is located on Sumatra Island, Indonesia, and is considered an oil prolific basin that produces heavy oil. The basin is believed to have unexplored heavy oil potential.
T. M. Susantoro +4 more
semanticscholar +1 more source
Influences of Well Test Techniques and Uncertainty in Petrophysics on Well Test Results
Energies, 2022 In the present study, well logs and well test data of both conventional build-up tests and Mini-DST from different oil and gas fields are utilized to evaluate the effects of uncertainty in petrophysics and test techniques on well test results.
Abdulaziz M. Abdulaziz +2 more
semanticscholar +1 more source
New correlation for estimation of cementation factor in Asmari carbonate rock reservoirs
Egyptian Journal of Petroleum, 2018 The cement factor is one of the most important Archie parameters which is a major source of uncertainty in the calculation of water saturation for a given reservoir condition.
Mohammad Shahi +2 more
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Energies, 2023 In the development of unconventional shale resources, production forecasts are fraught with uncertainty, especially in the absence of a full, multi-data study of reservoir characterization. To forecast Duvernay shale gas production in the vicinity of Fox
Gang Hui +4 more
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Recreating mineralogical petrographic heterogeneity within microfluidic chips : assembly, examples, and applications [PDF]
, 2016 This material includes work supported by Royal Society Research Grant RG140009. BA was supported by a Society of Petrophysics and Well Log Analysts (SPWLA) grant and an Aberdeen Formation Evaluation Society (AFES) bursary.
Akamairo, Blessing +3 more
core +1 more source
BSGF - Earth Sciences Bulletin, 2023 Microstructural features control the petrophysical properties of rocks. Of these, pore size is particularly sensitive when non-wetting fluids saturate the reservoir. The pore networks and physical properties (helium, water and mercury saturation porosity,
Boughalmi Senda +4 more
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Structural and mineragenetic features of the Getkan area [PDF]
E3S Web of Conferences, 2020 Deep structural features of tectonic and mineragenetic zones of the region have been established based on the comprehensive analysis of geological, gravity, magnetic, and petrophysical data.
Manilov Yury
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Frontiers in Earth Science, 2023 The target formation in the study area of the Pearl River Mouth Basin is characterized by complex lithology and thin interbedded layers, with a large pore-permeability distribution range and strongly heterogeneous characteristics, which makes the ...
Xiaoqing Zhao +8 more
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