Electrical facies of the Asmari Formation in the Mansouri oilfield, an application of multi-resolution graph-based and artificial neural network clustering methods. [PDF]
Eftekhari SH +6 more
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In this study two stratigraphy sections of Asmari Formation is selected which are Sarvestan and Sadra Section-in Fars province, Iran. Totally 422.2 meters of this rock unit sediment is studied in field of microfacies.
core
Integrated reservoir quality index (IRQI): a novel approach for reservoir quality assessment. [PDF]
Leisi A, Kadkhodaie A, Kadkhodaie R.
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Integrating NMR and machine learning for pore-type driven rock classification in the heterogeneous Asmari carbonate reservoirs. [PDF]
Veysi M +5 more
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A novel multidisciplinary approach for crude oil classification based on structural characteristics of asphaltenes. [PDF]
Sarafdokht H, Rabbani AR, Asemani M.
europepmc +1 more source
Fabrication of collagen fiber films incorporated with different sourced hydrocolloids and the application in chilled meat preservation: a comparative study. [PDF]
Xu J +10 more
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Developing a straightforward and robust approach for investigating reservoir compartmentalization based on chemical composition heterogeneities. [PDF]
Asemani M, Kouhanjani MHS, Rabbani AR.
europepmc +1 more source
Dual-attention residual U-Net with Huber loss for robust and efficient porosity prediction from well logs. [PDF]
Mehrabi A +3 more
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Exploring the potential of extracting seismic attributes from image logs for enhanced fracture characterization. [PDF]
Ezati M, Kadkhodaie A, Bolandi V.
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Application of porosity logs for cyclostratigraphic analysis in the absence of gamma ray logs. [PDF]
Alimardanian A +4 more
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