A.A. Ranjbar
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View article: Enhanced water saturation estimation in hydrocarbon reservoirs using machine learning
Enhanced water saturation estimation in hydrocarbon reservoirs using machine learning Open
Accurate estimation of water saturation (Sw) is essential for optimizing oil recovery strategies and is a key component in petrophysical analyses of hydrocarbon reservoirs. Traditional Sw estimation approaches often face limitations due to…
View article: Evaluation of hydraulic fracturing using machine learning
Evaluation of hydraulic fracturing using machine learning Open
Hydraulic fracturing (HF) is a pivotal technique in the oil and gas industry, aimed at enhancing hydrocarbon recovery by increasing reservoir permeability through high-pressure fluid injection. Despite its effectiveness, traditional method…
View article: Rate of penetration prediction in drilling operations: a comparative study of AI models and meta-heuristic approaches
Rate of penetration prediction in drilling operations: a comparative study of AI models and meta-heuristic approaches Open
Accurately estimating the Rate of Penetration (ROP) in drilling operations remains a significant challenge due to the limitations of traditional approaches, which are often characterized by low accuracy and reliance on empirical equations …
View article: Entropy based optimization of mini-channel heat sinks with advanced ternary nanofluids for photovoltaic cells and geometrical enhancements
Entropy based optimization of mini-channel heat sinks with advanced ternary nanofluids for photovoltaic cells and geometrical enhancements Open
This study introduces a novel technique with the implementation of a ternary hybrid nanofluid using optimized geometrical configuration and demonstrating superior improvement in heat transfer efficiency and minimization of entropy compared…
View article: Shale volume estimation using machine learning methods from the southwestern fields of Iran
Shale volume estimation using machine learning methods from the southwestern fields of Iran Open
Shales are a common constituent of many sedimentary formations in well drilling studies, and the accurate determination of shale volume is crucial for understanding reservoir properties and optimizing drilling operations. However, estimati…
View article: Estimation of minimum miscible pressure in carbon dioxide gas injection using machine learning methods
Estimation of minimum miscible pressure in carbon dioxide gas injection using machine learning methods Open
In recent decades, Enhanced Oil Recovery (EOR) has emerged as a primary method to increase reservoir oil recovery rates. One of these methods involves injecting miscible and immiscible gases. In miscible gas injection, the minimum miscibil…
View article: Predicting Asphaltene Stability Using Machine Learning Models Based on SARA Analysis
Predicting Asphaltene Stability Using Machine Learning Models Based on SARA Analysis Open
Accurately estimating asphaltene stability in oil and gas operations is critical for ensuring uninterrupted production and preventing flow assurance challenges caused by asphaltene deposition and precipitation. The accumulation of asphalte…
View article: Entropy Generation Study on Natural and Forced Convection of Nanofluid Flow in Vertical Channels
Entropy Generation Study on Natural and Forced Convection of Nanofluid Flow in Vertical Channels Open
In the present research, the entropy generation (EG) for a nanofluid through vertical channels is analyzed numerically. The water‐based suspension of alumina nanoparticles with different volume fractions is considered a heat transfer fluid…
View article: Enhanced petrophysical evaluation through machine learning and well logging data in an Iranian oil field
Enhanced petrophysical evaluation through machine learning and well logging data in an Iranian oil field Open
Reservoir petrophysical assessments are essential for determining hydrocarbon reserves, production, and characterizing reservoir layers. Advanced logging technology identifies crucial petrophysical parameters, including porosity type, rock…
View article: Comparing the performance of machine learning methods in estimating the shear wave transit time in one of the reservoirs in southwest of Iran
Comparing the performance of machine learning methods in estimating the shear wave transit time in one of the reservoirs in southwest of Iran Open
Shear wave transit time is a crucial parameter in petroleum engineering and geomechanical modeling with significant implications for reservoir performance and rock behavior prediction. Without accurate shear wave velocity information, geom…
View article: Optimization of production and injection wells location in an oil field with faulted oil-rich reservoir zones in southern Iran using GA, PSO, and HGAPSO algorithms
Optimization of production and injection wells location in an oil field with faulted oil-rich reservoir zones in southern Iran using GA, PSO, and HGAPSO algorithms Open
The problem is to optimize the location of wells and injection sites in such a way as to maximize oil production and also protect oil reservoirs from possible damages. In this study, oil well location optimization and economic evaluation i…
View article: Optimizing the wells location using the Machine learning algorithms, as well as optimizing the drilling time of production and injection wells in one of the reservoirs in south west of Iran
Optimizing the wells location using the Machine learning algorithms, as well as optimizing the drilling time of production and injection wells in one of the reservoirs in south west of Iran Open
In this study, the optimization of the location of oil production and injection wells, the number of production and injection wells, and the economic evaluation in the water injection process has been carried out using three algorithms: PS…
View article: Estimation of Drilling Rate of Penetration Using Hybrid Machine Learning Methods
Estimation of Drilling Rate of Penetration Using Hybrid Machine Learning Methods Open
Rate of penetration(ROP) is one of the most important well drilling parameters, and its estimation and optimization is very important during well planning and reducing related costs. Meanwhile, the prediction of this parameter is challengi…
View article: Experimental investigation on PCM/fin slab incorporation in a evaporator side of a household refrigerator
Experimental investigation on PCM/fin slab incorporation in a evaporator side of a household refrigerator Open
This paper considers the impact of adding PCM/fin slab on thermal performance and power consumption of an ordinary one-door refrigerator/freezer. The PCM box with different materials is attached to the bottom surface of evaporator. Water w…
View article: Application of machine learning algorithms in classification the flow units of the Kazhdumi reservoir in one of the oil fields in southwest of Iran
Application of machine learning algorithms in classification the flow units of the Kazhdumi reservoir in one of the oil fields in southwest of Iran Open
By determining the hydraulic flow units (HFUs) in the reservoir rock and examining the distribution of porosity and permeability variables, it is possible to identify areas with suitable reservoir quality. In conventional methods, HFUs are…
View article: Potential of Semi-Empirical Heat Transfer Models in Predicting the Effects of Equivalence Ratio on Low Temperature Reaction and High Temperature Reaction Heat Release of an HCCI Engine
Potential of Semi-Empirical Heat Transfer Models in Predicting the Effects of Equivalence Ratio on Low Temperature Reaction and High Temperature Reaction Heat Release of an HCCI Engine Open
In this paper, the influence of equivalence ratio on the low-temperature reaction heat release (LTR-HR) and high-temperature reaction heat release (HTR-HR) of homogeneous charge compression ignition engine has been experimentally and numer…
View article: Predictive Control of Irrigation Canals Considering Well-being of Operators
Predictive Control of Irrigation Canals Considering Well-being of Operators Open
We propose a model-predictive control (MPC) approach to solve a human-in-the-loop control problem for a non-automatic networked system with uncertain dynamics. There are no sensors or actuators installed in the system and we involve humans…
View article: Effect of splitter angles and orientations attached to pin fin on heat transfer and hydraulic characteristics in a jet impingement rectangular channel
Effect of splitter angles and orientations attached to pin fin on heat transfer and hydraulic characteristics in a jet impingement rectangular channel Open
Heat transfer improvement of heat sinks is very interesting in many applications including electronic devices cooling. In this study, the influence of rotational angle of splitters attached to pin fins for two cases of identical and opposi…
View article: Numerical analysis of geomechanical behavior of fractures and faults in a deformable porous medium
Numerical analysis of geomechanical behavior of fractures and faults in a deformable porous medium Open
In this study, geomechanical behavior of fractures and faults in rocks as a saturated deformable discrete fracture-porous medium has been evaluated using coupled fluid flow-geomechanics numerical modeling. The purpose of this paper is to o…