Shadfar Davoodi

Best Publications

• Review of technological progress in carbon dioxide capture, storage, and utilization

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  246
  Citations

• Carbon Dioxide Applications for Enhanced Oil Recovery Assisted by Nanoparticles: Recent Developments

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  152
  Citations

• Experimental and field applications of nanotechnology for enhanced oil recovery purposes: A review

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  143
  Citations

• Nanoparticle applications as beneficial oil and gas drilling fluid additives: A review

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  135
  Citations

• Synthetic polymers: A review of applications in drilling fluids

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  115
  Citations

• Carbon dioxide sequestration through enhanced oil recovery: A review of storage mechanisms and technological applications

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  111
  Citations

• Machine-learning predictions of solubility and residual trapping indexes of carbon dioxide from global geological storage sites

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  110
  Citations

• Permeability prediction of heterogeneous carbonate gas condensate reservoirs applying group method of data handling

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  95
  Citations

• Thermally stable and salt-resistant synthetic polymers as drilling fluid additives for deployment in harsh sub-surface conditions: A review

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  90
  Citations

• A novel field applicable mud formula with enhanced fluid loss properties in High Pressure-High Temperature well condition containing pistachio shell powder

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  85
  Citations

• A geomechanical approach to casing collapse prediction in oil and gas wells aided by machine learning

  Nima Mohamadian;Hamzeh Ghorbani;David A. Wood;Mohammad Mehrad

  83
  Citations

• Study of void space structure and its influence on carbonate reservoir properties: X-ray microtomography, electron microscopy, and well testing

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  81
  Citations

• A comprehensive review of beneficial applications of viscoelastic surfactants in wellbore hydraulic fracturing fluids

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  81
  Citations

• Predicting shear wave velocity from conventional well logs with deep and hybrid machine learning algorithms

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  80
  Citations

• Application of a novel acrylamide copolymer containing highly hydrophobic comonomer as filtration control and rheology modifier additive in water-based drilling mud

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  73
  Citations

• Prediction performance advantages of deep machine learning algorithms for two-phase flow rates through wellhead chokes

  Hossein Shojaei Barjouei;Hamzeh Ghorbani;Nima Mohamadian;David A. Wood

  72
  Citations

• Predicting Formation Pore-Pressure from Well-Log Data with Hybrid Machine-Learning Optimization Algorithms

  Mohammad Farsi;Nima Mohamadian;Hamzeh Ghorbani;David A. Wood

  71
  Citations

• Robust hybrid machine learning algorithms for gas flow rates prediction through wellhead chokes in gas condensate fields

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  65
  Citations

• Optimized machine learning models for natural fractures prediction using conventional well logs

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  65
  Citations

• Application of sustainable saffron purple petals as an eco-friendly green additive for drilling fluids: A rheological, filtration, morphological, and corrosion inhibition study

  Saeed Ghaderi;Seyyed Arash Haddadi;Shadfar Davoodi;Mohammad Arjmand

  59
  Citations