Items where Author is "Ilyas, S.U."

Article

Ali, A. and Naseer, H. and Ilyas, S.U. and Phelan, P.E. and Nasir, R. and Alsaady, M. and Yan, Y. (2023) Thermal and Rheological Behavior of Hybrid Nanofluids Containing Diamond and Boron Nitride in Thermal Oil for Cooling Applications. Arabian Journal for Science and Engineering.

Kumar, A. and Ridha, S. and Ilyas, S.U. and Dzulkarnain, I. and Pratama, A. (2022) Application of boundary-fitted convolutional neural network to simulate non-Newtonian fluid flow behavior in eccentric annulus. Neural Computing and Applications.

Kumar, A. and Ridha, S. and Ilyas, S.U. and Dzulkarnain, I. and Astra Agus Pramana, D.N. (2022) Correction to: Application of boundary-fitted convolutional neural network to simulate non-Newtonian fluid flow behavior in eccentric annulus (Neural Computing and Applications, (2022), 34, 14, (12043-12061), 10.1007/s00521-022-07092-w). Neural Computing and Applications, 34 (23). p. 21415. ISSN 09410643

kazmi , B. and Taqvi, S.A.A. and Naqvi, M. and Ilyas, S.U. and Moshin, A. and Inamullah, F. and Naqvi, S.R. (2022) Correction to: Process system analysis on oil processing facility and economic viability from oil well�to�tank (SN Applied Sciences, (2021), 3, 7, (682), 10.1007/s42452-021-04635-z). SN Applied Sciences, 4 (2).

kazmi, B. and Taqvi, S.A.A. and Naqvi, M. and Ilyas, S.U. and Moshin, A. and Inamullah, F. and Naqvi, S.R. (2022) Correction to: Process system analysis on oil processing facility and economic viability from oil well�to�tank (SN Applied Sciences, (2021), 3, 7, (682), 10.1007/s42452-021-04635-z). SN Applied Sciences, 4 (2). ISSN 25233971

Arain, A.H. and Ridha, S. and Suppiah, R.R. and Irawan, S. and Ilyas, S.U. (2022) Developing an efficient ester-based drilling fluid based on Calophyllum Inophyllum oil for eco-friendly drilling of unconventional shale formation. Journal of Petroleum Science and Engineering, 219.

Arain, A.H. and Ridha, S. and Ilyas, S.U. and Mohyaldinn, M.E. and Suppiah, R.R. (2022) Evaluating the influence of graphene nanoplatelets on the performance of invert emulsion drilling fluid in high-temperature wells. Journal of Petroleum Exploration and Production Technology.

Arain, A.H. and Ridha, S. and Ilyas, S.U. and Mohyaldinn, M.E. and Suppiah, R.R. (2022) Evaluating the influence of graphene nanoplatelets on the performance of invert emulsion drilling fluid in high-temperature wells. Journal of Petroleum Exploration and Production Technology, 12 (9). pp. 2467-2491.

Ridha, S. and Dzulkarnain, I. and Abdurrahman, M. and Ilyas, S.U. and Bataee, M. (2022) Microstructural properties and compressive strength of fly ash-based geopolymer cement immersed in CO2-saturated brine at elevated temperatures. International Journal of Environmental Science and Technology, 19 (8). pp. 7589-7598.

Maqsood, K. and Ali, A. and Ilyas, S.U. and Garg, S. and Danish, M. and Abdulrahman, A. and Rubaiee, S. and Alsaady, M. and Hanbazazah, A.S. and Mahfouz, A.B. and Ridha, S. and Mubashir, M. and Lim, H.R. and Khoo, K.S. and Show, P.L. (2022) Multi-objective optimization of thermophysical properties of multiwalled carbon nanotubes based nanofluids. Chemosphere, 286.

Ridha, S. and Dzulkarnain, I. and Abdurrahman, M. and Ilyas, S.U. and Bataee, M. (2021) Microstructural properties and compressive strength of fly ash-based geopolymer cement immersed in CO2-saturated brine at elevated temperatures. International Journal of Environmental Science and Technology.

Ali, A. and Ilyas, S.U. and Danish, M. and Abdulrahman, A. and Maqsood, K. and Ahmed, A. and Murshid, G. and Rubaiee, S. and Alsaady, M. and Mahfouz, A.B. and Hanbazazah, A.S. (2021) Multi-objective optimization of thermophysical properties of f�Al2O3 nano-dispersions in heat transfer oil. SN Applied Sciences, 3 (2).

Ali, A. and Ilyas, S.U. and Danish, M. and Abdulrahman, A. and Maqsood, K. and Ahmed, A. and Murshid, G. and Rubaiee, S. and Alsaady, M. and Mahfouz, A.B. and Hanbazazah, A.S. (2021) Multi-objective optimization of thermophysical properties of f�Al2O3 nano-dispersions in heat transfer oil. SN Applied Sciences, 3 (2).

Kumar, A. and Ridha, S. and Narahari, M. and Ilyas, S.U. (2021) Physics-guided deep neural network to characterize non-Newtonian fluid flow for optimal use of energy resources. Expert Systems with Applications, 183.

kazmi , B. and Taqvi, S.A.A. and Naqvi, M. and Ilyas, S.U. and Moshin, A. and Inamullah, F. and Naqvi, S.R. (2021) Process system analysis on oil processing facility and economic viability from oil well-to-tank. SN Applied Sciences, 3 (7).

Gul Zaman, H. and Baloo, L. and Pendyala, R. and Singa, P.K. and Ilyas, S.U. and Kutty, S.R.M. (2021) Produced water treatment with conventional adsorbents and MOF as an alternative: A review. Materials, 14 (24).

Krishna, S. and Ridha, S. and Vasant, P. and Ilyas, S.U. and Sophian, A. (2020) Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: A comprehensive review. Journal of Petroleum Science and Engineering, 195.

Ali, A. and Ilyas, S.U. and Garg, S. and Alsaady, M. and Maqsood, K. and Nasir, R. and Abdulrahman, A. and Zulfiqar, M. and Mahfouz, A.B. and Ahmed, A. and Ridha, S. (2020) Dynamic viscosity of Titania nanotubes dispersions in ethylene glycol/water-based nanofluids: Experimental evaluation and predictions from empirical correlation and artificial neural network. International Communications in Heat and Mass Transfer, 118.

Kumar, A. and Ridha, S. and Ganet, T. and Vasant, P. and Ilyas, S.U. (2020) Machine learning methods for herschel-bulkley fluids in annulus: Pressure drop predictions and algorithm performance evaluation. Applied Sciences (Switzerland), 10 (7).

Narahari, M. and Suresh Kumar Raju, S. and Pendyala, R. and Ilyas, S.U. (2020) Numerical investigation of unsteady multiphase nanofluid-free convection flow about a vertical cylinder with non-uniform temperature. Journal of Thermal Science and Engineering Applications, 12 (3).

Krishna, S. and Ridha, S. and Vasant, P. and Ilyas, S.U. and Ofei, T.N. (2020) Simplified predictive model for downhole pressure surges during tripping operations using power law drilling fluids. Journal of Energy Resources Technology, Transactions of the ASME, 142 (12).

Krishna, S. and Ridha, S. and Vasant, P. and Ilyas, S.U. and Ofei, T.N. (2020) Simplified predictive model for downhole pressure surges during tripping operations using power law drilling fluids. Journal of Energy Resources Technology, Transactions of the ASME, 142 (12).

Ilyas, S.U. and Pendyala, R. and Narahari, M. (2019) Experimental investigation of natural convection heat transfer characteristics in MWCNT-thermal oil nanofluid. Journal of Thermal Analysis and Calorimetry, 135 (2). pp. 1197-1209.

Ilyas, S.U. and Pendyala, R. and Narahari, M. (2017) Rheological behavior of mechanically stabilized and surfactant-free MWCNT-thermal oil-based nanofluids. International Communications in Heat and Mass Transfer, 87. pp. 250-255.

Ilyas, S.U. and Pendyala, R. and Narahari, M. (2017) Stability and thermal analysis of MWCNT-thermal oil-based nanofluids. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 527. pp. 11-22.

Ilyas, S.U. and Pendyala, R. and Narahari, M. and Susin, L. (2017) Stability, rheology and thermal analysis of functionalized alumina- thermal oil-based nanofluids for advanced cooling systems. Energy Conversion and Management, 142. pp. 215-229.

Pendyala, R. and Chong, J.L. and Ilyas, S.U. (2015) CFD analysis of heat transfer performance in a car radiator with nanofluids as coolants. Chemical Engineering Transactions, 45. pp. 1261-1266.

Pendyala, R. and Wong, Y.S. and Ilyas, S.U. (2015) CFD simulations of natural convection heat transfer in enclosures with varying aspect ratios. Chemical Engineering Transactions, 45. pp. 793-798.

Pendyala, R. and Yong, J. and Azman, I.A. and Ilyas, S.U. (2015) CFD simulations of transient fuel gases mixing, leakage and flammability in air. Chemical Engineering Transactions, 45. pp. 1921-1926.

Ilyas, S.U. and Pendyala, R. and Marneni, N. (2014) Dispersion behaviour and agglomeration effects of zinc oxide nanoparticles in ethanol-water mixtures. Materials Research Innovations, 18. S6-179-S6-183.

Ilyas, S.U. and Pendyala, R. and Marneni, N. (2014) Preparation, sedimentation, and agglomeration of nanofluids. Chemical Engineering and Technology, 37 (12). pp. 2011-2021.

Ilyas, S.U. and Pendyala, R. and Marneni, N. (2013) Settling characteristics of alumina nanoparticles in ethanol-water mixtures. Applied Mechanics and Materials, 372. pp. 143-148.

Conference or Workshop Item

Tan, K.X. and Ilyas, S.U. and Pendyala, R. and Shamsuddin, M.R. (2022) Assessment of Thermal Conductivity and Viscosity of Alumina-Based Engine Coolant Nanofluids using Random Forest Approach. In: UNSPECIFIED.

Krishna, S. and Ridha, S. and Ilyas, S.U. and Campbell, S. and Bhan, U. and Bataee, M. (2021) Application of deep learning technique to predict downhole pressure differential in eccentric annulus of ultra-deep well. In: UNSPECIFIED.

Krishna, S. and Ridha, S. and Vasant, P. and Ilyas, S.U. (2020) New analytical approach for predicting surge/swab pressure gradient using mud clinging effect and frictional pressure losses: For yield power law fluid. In: UNSPECIFIED.

Kumar, A. and Ridha, S. and Ilyas, S.U. (2020) Unsupervised Deep Learning Algorithm to Solve Sub-Surface Dynamics for Petroleum Engineering Applications. In: UNSPECIFIED.