Electrofacies classification of a mixed carbonate-siliciclastic reservoir using machine learning techniques [PDF]
Jurnal NaturalMany scientific fields, including the geosciences, have successfully employed machine learning to address numerous significant issues. Current studies show that the application of machine learning within the geosciences is still in its early stages, and ...
MUHAMMAD RIDHA ADHARI +3 more
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Facies evaluation and sedimentary environments of the Yamama Formation in the Ratawi oil field, South Iraq [PDF]
Scientific Reports, 2023 Microfacies and environmental analyses of the Yamama Formation were conducted in the Tithonian–Hautervian sequence in the Ratawi oil field of Basra city in southern Iraq. The study includes petrographic, facies, and depositional models for the study area.
Israa A. Al-Iessa, Wang Zhi Zhang
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The Application of Pattern Recognition in Electrofacies Analysis [PDF]
Journal of Applied Mathematics, 2014 Pattern recognition is an important analytical tool in electrofacies analysis. In this paper, we study several commonly used clustering and classification algorithms.
Huan Li, Xiao Yang, Wenhong Wei
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Reservoir Quality Evaluation based on Integration of Artificial Intelligence and NMR-derived Electrofacies [PDF]
Journal of Petroleum Science and Technology, 2022 Logarithmic Mean of Transverse relaxation time (T2LM) and total porosity of the Combinable Magnetic Resonance tool (TCMR) are the main parameters of the Nuclear Magnetic Resonance (NMR) log which provide very substantial information for reservoir ...
Reza Hoveyzavi +3 more
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Electrical facies of the Asmari Formation in the Mansouri oilfield, an application of multi-resolution graph-based and artificial neural network clustering methods [PDF]
Scientific ReportsElectrofacies analysis conducted the distribution effects throughout the reservoir despite the difficulty of characterizing stratigraphic relationships.
Seyedeh Hajar Eftekhari +4 more
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A case study of reservoir characterization and modeling for tidal-dominated estuary reservoir in Ecuador [PDF]
Scientific ReportsThe Oriente Basin, as part of the retro-arc foreland basin system, develops tidal-dominated estuary, where the LU layer exhibits complex sedimentary characteristics in lateral that brings great uncertainty to reservoir characterization using only wells ...
Cheng Jiwei +7 more
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Analyzing the impact of clay minerals on the reservoir quality of the Lower Goru Formation using Unsupervised Machine Learning. [PDF]
PLoS ONEThe reservoir quality of the Lower Goru Formation is highly variable due to its heterogeneous nature influenced by sea level fluctuations during the Early Cretaceous period.
Kausar Noreen +5 more
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Electrofacies Analysis Using a Geostatistical Approach, Northern Iraq Case Study
Polytechnic Journal, 2023 The distribution of petrophysical parameters is governed by lithology, hence understanding the spatial variation in lithology is essential for reservoir characterisation.
Hussein S. Hussein
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Integrating NMR and machine learning for pore-type driven rock classification in the heterogeneous Asmari carbonate reservoirs [PDF]
Scientific ReportsThe Asmari Formation’s complex heterogeneity presents fundamental challenges for reservoir characterization, where conventional lithology-based methods inadequately capture dynamic fluid behavior and pore-scale productivity controls.
Maryam Veysi +5 more
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Permeability prediction using hydraulic flow units and electrofacies analysis
Energy Geoscience, 2020 It is essential to characterize fluid flow in porous media to have a better understanding of petrophysical properties. Many approaches were developed to determine reservoir permeability among which the integrated analysis of hydraulic flow unit (HFU) and
Amanat Ali Bhatti +6 more
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