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How to lump components in winprop cmg
How to lump components in winprop cmg













how to lump components in winprop cmg

Syed Imran Ali, Shaine Mohammadali Lalji, Javed Haneef, Usama Ahsan, Syed Mohammad Tariq, Syed Talha Tirmizi, Ramsha Shamim.Journal of Petroleum Exploration and Production Technology 2021, 11 Asphaltene precipitation modeling in dead crude oils using scaling equations and non-scaling models: comparative study. Syed Imran Ali, Shaine Mohammadali Lalji, Javed Haneef, Clifford Louis, Abdus Saboor, Nimra Yousaf.An Integrated Simulation Approach for Wellbore Blockage Considering Precipitation, Aggregation, and Deposition of Asphaltene Particles. Minhui Qi, Rouzbeh Ghanbarnezhad Moghanloo, Xin Su, Mingzhong Li.Petroleum Science and Technology 2021, 39 Smart phase behavior modeling of asphaltene precipitation using advanced computational frameworks: ENN, GMDH, and MPMR. Navid Kardani, Pradeep T, Pijush Samui, Dookie Kim, Annan Zhou.Industrial & Engineering Chemistry Research 2014, 53 Connectionist Model to Estimate Performance of Steam-Assisted Gravity Drainage in Fractured and Unfractured Petroleum Reservoirs: Enhanced Oil Recovery Implications. Dusseault, Ali Elkamel, Ali Lohi, and Michael Fowler. Sohrab Zendehboudi, Amin Reza Rajabzadeh, Alireza Bahadori, Ioannis Chatzis, Maurice B.Assessing the Dynamic Viscosity of Na–K–Ca–Cl–H2O Aqueous Solutions at High-Pressure and High-Temperature Conditions. Hossein Safari, Sahand Nekoeian, Mohammad Reza Shirdel, Hossein Ahmadi, Alireza Bahadori, and Sohrab Zendehboudi.Recovery Rate of Vapor Extraction in Heavy Oil Reservoirs-Experimental, Statistical, and Modeling Studies. Mohammad Ali Ahmadi, Sohrab Zendehboudi, Alireza Bahadori, Lesley James, Ali Lohi, Ali Elkamel, and Ioannis Chatzis.Prediction of Methane Uptake on Different Adsorbents in Adsorbed Natural Gas Technology Using a Rigorous Model. Ebrahim Soroush, Mohammad Mesbah, Amin Shokrollahi, Alireza Bahadori, and Mohammad Hossein Ghazanfari.Experimental Investigation and Application of the Asphaltene Precipitation Envelope. Hao Lei, Shenglai Yang, Kun Qian, Yanzhao Chen, Ying Li, and Quanzhen Ma.Journal of Chemical & Engineering Data 2016, 61 Liquid–Liquid Equilibrium in an Aqueous Two-Phase System of Polyethylene Glycol 6000, Sodium Sulfate, Water, Glucose, and Penicillin-G: Experimental and Thermodynamic Modeling. Aliakbar Roosta, Fateme Jafari, and Jafar Javanmardi.Industrial & Engineering Chemistry Research 2017, 56 A Simple Correlation for Estimating the Viscosity of Pure Ionic Liquids and Their Binary Mixtures. Industrial & Engineering Chemistry Research 2019, 58 Part I: Development of Chemometric Models. Application of Near-Infrared for Online Monitoring of Heavy Fuel Oil at Thermoelectric Power Plants. Lourenço, Elton Franceschi, Claudio Dariva, Vanias Araujo, Alexandre Venceslau, Manuela S. Effect of Pore-Throat Microstructures on Formation Damage during Miscible CO2 Flooding of Tight Sandstone Reservoirs. Glover, Piroska Lorinczi, Kun Qian, Lu Wang. This article is cited by 75 publications. The outcomes of this study appear to be useful in the design stage of more-efficient EOR processes. This study implies that utilization of an appropriate PVT model along with the ICA-ANN approach in the investigation of AP leads to more reliable predictions compared to the conventional ANN and also a scaling model. Employing laboratory PVT data, the thermodynamics framework resulted in construction of an asphaltene precipitation envelope. In addition, it was found that temperature and pressure have the greatest impacts on AP during natural depletion. Comparison between the ICA-ANN predictions and the experimental data shows that the average absolute error between data originated from these two different approaches is less than 5%. Then, potential application of a feed-forward artificial neural network (ANN) model, optimized by the imperialist competitive algorithm (ICA), was proposed to estimate BPP and the amount of AP. A thermodynamics model was also developed to determine equilibrium compositions of the oil samples, considering AP. In this study, experiments were conducted using some light oil samples to measure important phase behavior properties such as the bubble point pressure (BPP) and the amount of precipitated asphaltenes. AP prediction is an important design factor in implementation of any enhanced oil recovery (EOR) process. Asphaltene instability occurs due to variations in thermodynamic properties such pressure, temperature, and mixture composition. Asphaltene precipitation (AP) is recognized as a complicated occurrence that results in weakening reservoir characteristics and subsequent considerable decline in oil production rate.















How to lump components in winprop cmg