Data driven of underground water level using artificial intelligence hybrid algorithms. [PDF]
Rahimi M, Ebrahimi H.
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Biostratigraphy of early Oligocene-early Miocene benthic foraminifera in Lorestan Zone, south-west Iran [PDF]
925-935This study is about the microbiostratigraphy of the Asmari Formation in the Lorestan Zone, south-west Iran. Six biostratigraphical zones were defined after summarizing the available stratigraphical data and occurrence of the Early Oligocene ...
Moghaddam, Iraj Maghfouri +2 more
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Formation-Damage Mechanism and Gel-Breaker-Free Drill-In Fluid for Carbonate Reservoir. [PDF]
Fang Q +6 more
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Understanding the distribution of shear wave velocity (V S ) in hydrocarbon reservoirs is a crucial concern in reservoir geophysics. This geophysical parameter is utilized for reservoir characterization, calculating elastic properties, assessing ...
Ahsan Leisi, Navid Shad Manaman
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A case study of petrophysical rock typing and permeability prediction using machine learning in a heterogenous carbonate reservoir in Iran. [PDF]
Mohammadian E +4 more
europepmc +1 more source
Formulating a novel drilling mud using bio-polymers, nanoparticles, and SDS and investigating its rheological behavior, interfacial tension, and formation damage. [PDF]
Taghdimi R +4 more
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Magnetotelluric data analysis using 2D inversion: A case study from Al-Mubazzarah Geothermal Area (AMGA), Al-Ain, United Arab Emirates. [PDF]
Saibi H +5 more
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Matrix Fractures Exchanges in Naturally Fractured Reservoirs under EOR Mechanisms
Imperial Users ...
Valdiviano Huertas, Jhonatan +1 more
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Formulation Development and In Vitro/In Vivo Characterization of Methotrexate-Loaded Nanoemulsion Gel Formulations for Enhanced Topical Delivery. [PDF]
Latif MS +5 more
europepmc +1 more source
Predicting shear wave velocity from conventional well logs with deep and hybrid machine learning algorithms [PDF]
Davoodi, Shadfar +9 more
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