Hydraulic flow unit and rock types of the Asmari Formation, an application of flow zone index and fuzzy C-means clustering methods. [PDF]
Eftekhari SH +6 more
europepmc +1 more source
Application of new eco-friendly LCMs for combating the lost circulation in heavy-weight and oil-based mud. [PDF]
Nasiri A +2 more
europepmc +1 more source
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
europepmc +1 more source
Evaluation and selection of the best artificial lift method for optimal production using PIPESIM software. [PDF]
Janadeleh M +5 more
europepmc +1 more source
Evaluating machine learning efficiency and accuracy for real time flash flood mapping. [PDF]
Mirzapour H, Haghizadeh A, Motlagh MS.
europepmc +1 more source
Enhancing formation resistivity factor estimation in carbonate reservoirs using electrical zone indicator and multi-resolution graph-based clustering methods. [PDF]
Mohammadi M +4 more
europepmc +1 more source
Permeability modelling in a highly heterogeneous tight carbonate reservoir using comparative evaluating learning-based and fitting-based approaches. [PDF]
Hajibolouri E +5 more
europepmc +1 more source
Integrating optimization and machine learning for estimating water resistivity and saturation in shaley sand reservoirs. [PDF]
Hameedy MAE, Mabrouk WM, Metwally AM.
europepmc +1 more source
Development of a new hydraulic electric index for rock typing in carbonate reservoirs. [PDF]
Mohammadi M +4 more
europepmc +1 more source
Carbonate sequence of upper cretaceous (Cenomanian) of Sarvak Formation is a part of Bangestan Group with the thickness of 760m in Ahvaz oil field (well no. 63). This formation is overlain by the Kazhdumi Formation and is uncomfortably underlain by the Ilam Formation.
Amin Barari
exaly +3 more sources

