S. Ridha

发表

Explicit flow velocity modelling of yield power-law fluid in concentric annulus to predict surge and swab pressure gradient for petroleum drilling applications

Suhaib Umer Ilyas, P. Vasant, R. Gholami, 2020 .

Microstructure parameter estimation in permeability calculation of well cement during early hydration by a simple particle expansion model

S. Irawan, B. Ariwahjoedi, S. Ridha, 2011, 2011 National Postgraduate Conference.

Prediction of interface conductivity of cement slurry during early hydration considering the effect of curing temperature and pressure

S. Irawan, B. Ariwahjoedi, S. Ridha, 2011, 2011 IEEE Symposium on Industrial Electronics and Applications.

MICROSTRUCTURE INVESTIGATIONS ON NANO-GEOPOLYMER CEMENT CURED UNDER HPHT CONDITIONS

S. Ridha, M. Akmalludin, S. Salehudin, 2016 .

The Strength Compatibility of Nano-SiO 2 Geopolymer Cement for Oil Well under HPHT Conditions

S. Ridha, Utami Yerikania, 2015 .

The influence of CO2 accelerated carbonation on alkali‐activated fly ash cement under elevated temperature and pressure

S. Ridha, A. Hamid, R. A. Setiawan, 2018 .

Experimental investigation of high-viscosity oil–water flow in vertical pipes: flow patterns and pressure gradient

R. Gholami, S. Ridha, T. Ganat, 2019, Journal of Petroleum Exploration and Production Technology.

Influence of different brine water salinity on mechanical properties of fly ash-based geopolymer cement

S. Ridha, A. I. A. Hamid, Che Ku Afiza Hanim Che Ku Mazuan, 2018 .

Wellbore Failure During Water-Alternating-Gas Injection by Use of Flow-Stress Coupling Method

S. Irawan, S. Ridha, Zakaria Hamdi, 2017 .

Shear Stress and Filtration Loss Properties Assessment of Nano-Silica Water-Based Drilling Fluid Using Machine Learning Approaches

Suhaib Umer Ilyas, M. Abdurrahman, S. Krishna, 2021, Journal of Energy Resources Technology.

Evaluating the influence of graphene nanoplatelets on the performance of invert emulsion drilling fluid in high-temperature wells

Aftab Hussain Arain, Suhaib Umer Ilyas, M. Mohyaldinn, 2022, Journal of Petroleum Exploration and Production Technology.

A comprehensive review of nanoparticles in water-based drilling fluids on wellbore stability.

H. Kamyab, D. Mohshim, S. Krishna, 2022, Chemosphere.

Developing an efficient ester-based drilling fluid based on Calophyllum Inophyllum oil for eco-friendly drilling of unconventional shale formation

Aftab Hussain Arain, Suhaib Umer Ilyas, S. Irawan, 2022, Journal of Petroleum Science and Engineering.

Microstructural properties and compressive strength of fly ash-based geopolymer cement immersed in CO2-saturated brine at elevated temperatures

Suhaib Umer Ilyas, M. Abdurrahman, S. Ridha, 2021, International Journal of Environmental Science and Technology.

Impact of wet supercritical CO2 injection on fly ash geopolymer cement under elevated temperatures for well cement applications

M. Abdurrahman, S. Ridha, R. A. Setiawan, 2019, Journal of Petroleum Exploration and Production Technology.

Influence of sulfuric and hydrochloric acid on the resistance of geopolymer cement with nano-silica additive for oil well cement application

S. Ridha, R. A. Setiawan, A. R. Shahari, 2018, International Journal of Structural Integrity.

Elasticity and expansion test performance of geopolymer as oil well cement

N. A. Zamzuri, S. Ridha, A. H. Abdul Halim, 2018 .

Microstructure Behavior of Fly Ash-Based Geopolymer Cement Exposed to Acidic Environment for Oil Well Cementing

S. Ridha, R. A. Setiawan, A. R. Shahari, 2018 .

Thickening Time Compatibility of Geopolymer Cement for Drilling Application

S. Ridha, M. Jamali, R. A. Setiawan, 2017 .

Mechanical properties of different alkali activated slag content for oilwell cement under elevated conditions

S. Ridha, Dinesh Kanesan, T. Ravichandran, 2017 .

Physics-guided deep neural network to characterize non-Newtonian fluid flow for optimal use of energy resources

Syahrir Ridha, Suhaib Umer Ilyas, Marneni Narahari, 2021, Expert Syst. Appl..

Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models

Raoof Gholami, Syahrir Ridha, Daniel Asante Otchere, 2020, Journal of Petroleum Science and Engineering.

Improving the Performance of Invert Emulsion Drilling Fluid using Boron Nitride and Graphene Nanoplatelets for Drilling of Unconventional High-Temperature Shale Formations

S. Ridha, Aftab Hussain Arain, Mysara Eissa Mohyaldinn, 2022, Journal of Molecular Liquids.

Experimental investigations on the workability of sustainable composite by recycling waste plastics and agro-waste

Ashish Soni, S. Ridha, M. Yusuf, 2022, Zastita materijala.

Impact of nanoparticles–surfactant solutions on carbon dioxide and methane wettabilities of organic-rich shale and CO2/brine interfacial tension: Implication for carbon geosequestration

A. Al-Yaseri, Muhammad Amjad Ali, J. Khan, 2022, Energy Reports.

Tribological behavior of particulates reinforced sustainable composites: Effect of composition, load, and sliding speed

P. Das, Ashish Soni, S. Ridha, 2022, Sustainable Chemistry and Pharmacy.

Dispersion stability and surface tension of SDS-Stabilized saline nanofluids with graphene nanoplatelets

Suhaib Umer Ilyas, S. Ridha, Firas A. Abdul Kareem, 2020 .

Application of boundary-fitted convolutional neural network to simulate non-Newtonian fluid flow behavior in eccentric annulus

Suhaib Umer Ilyas, S. Ridha, I. Dzulkarnain, 2022, Neural Computing and Applications.

Valorization of Post-Consumers Plastics and Agro-Waste in Sustainable Polymeric Composites for Tribological Applications

H. Kamyab, Ashish Soni, S. Ridha, 2023, Waste and Biomass Valorization.

Dynamic viscosity of Titania nanotubes dispersions in ethylene glycol/water-based nanofluids: Experimental evaluation and predictions from empirical correlation and artificial neural network

Suhaib Umer Ilyas, S. Garg, Abulhassan Ali, 2020 .

Double layer chemical encapsulation of SiO2 nanoparticles for interfacial tension reduction under low salinity condition

H. Soleimani, S. Ridha, M. Hamza, 2022, Journal of Molecular Liquids.

Organic Matter Distribution and Characteristics among Rock Formations in Malaysia: Implications on Hydrocarbon Generation Potential

C. B. Bavoh, S. Ridha, N. Siddiqui, 2022, Applied Sciences.

An integrated workflow to characterize and evaluate low resistivity pay and its phenomenon in a sandstone reservoir

S. Ridha, M. Ismail, Edo Pratama, 2017 .

Determination of Optimal Distance Between Wells in SAGD and VAPEX Methods Using Reservoir Simulation

S. Ridha, B. Moradi, Zakaria Hamdi, 2023, Day 1 Wed, March 15, 2023.

A Rapid Method to Predict Minimum Miscibility Pressure Through Interfacial Tension Test and Visual Observation

A. Arsad, R. Junin, Augustine Agi, 2022, Day 3 Wed, August 03, 2022.

Reservoir Performance Prediction in Steam Huff and Puff Injection Using Proxy Modelling

Suhaib Umer Ilyas, B. M. Negash, S. Ridha, 2022, Applied Sciences.

Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: A comprehensive review

Pandian Vasant, Ali Sophian, Syahrir Ridha, 2020, Journal of Petroleum Science and Engineering.

Identification of coal seams suitability for carbon dioxide sequestration with enhanced coalbed methane recovery: a case study in South Sumatera Basin, Indonesia

Syahrir Ridha, Edo Pratama, Mohd Suhaili Ismail, 2018, Clean Technologies and Environmental Policy.

Influence of Degree of Dispersion of Noncovalent Functionalized Graphene Nanoplatelets on Rheological Behaviour of Aqueous Drilling Fluids

S. Ridha, Arif Ibrahim, T. Ganat, 2019, International Journal of Chemical Engineering.

Application of machine learning to determine the shear stress and filtration loss properties of nano-based drilling fluid

Suhaib Umer Ilyas, S. Krishna, S. Ridha, 2022, Journal of Petroleum Exploration and Production Technology.

Identification of corrosion product on medium carbon steel under the exposure of Banda Aceh’s atmosphere

S. Ridha, S. Huzni, M. Ikhsan, 2018 .

Multi-objective optimization of thermophysical properties of multiwalled carbon nanotubes based nanofluids.

Abdulkader S. Hanbazazah, Suhaib Umer Ilyas, S. Garg, 2021, Chemosphere.

Experimental evaluation of surge/swab pressure in varying annular eccentricities using non-Newtonian fluid under Couette-Poiseuille flow for drilling applications

Suhaib Umer Ilyas, M. Abdurrahman, S. Krishna, 2021 .

An optimum drill bit selection technique using artificial neural networks and genetic algorithms to increase the rate of penetration

M. S. Momeni, S. Ridha, Seyed Javad Hosseini, 2018 .

Synergy of silica sand and waste plastics as thermoplastic composites on abrasive wear characteristics under conditions of different loads and sliding speeds.

Mohammad Azad Alam, C. Prakash, H. Kamyab, 2023, Chemosphere.

PREDICTIVE EQUATIONS FOR PERMEABILITY AND STRENGTH OF OILWELL CEMENT USING ELECTRICAL IMPEDANCE

S. Ridha, 2013 .

Conductivity Dispersion Characteristic of Oilwell Cement Slurry during Early Hydration C

S. Irawan, B. Ariwahjoedi, S. Ridha, 2010 .

Effect of Chemical EOR on Class G Oilwell Cement Integrity under Elevated Conditions

S. Ridha, Utami Yerikania, Nur Syahirah Alias, 2016 .

Statistical Relationship of Drilled Solid Concentration on Drilling Mud Rheology

Imros B. Kinif, A. Sauki, S. Irawan, 2020, Journal of Advanced Research in Fluid Mechanics and Thermal Sciences.

Detecting Harmful Parameters of Produced Water and Drilling Waste from Smart Phone Through Things Speak App: Case Study from the Mediterranean Region

S. Ridha, Zarak Khan, T. Ganat, 2019, 2019 International Conference on Green and Human Information Technology (ICGHIT).

Unsupervised Deep Learning Algorithm to Solve Sub-Surface Dynamics for Petroleum Engineering Applications

Abhishek Kumar, Syahrir Ridha, Suhaib Umer Ilyas, 2020, 2020 International Conference on Computational Intelligence (ICCI).

A gated recurrent unit model to predict Poisson's ratio using deep learning

I. Hussein, M. Ayoub, M. Mohyaldinn, 2023, Journal of Rock Mechanics and Geotechnical Engineering.

Development of Stress Model near the Wellbore Using an Iterative Coupling Method

S. Irawan, S. Ridha, M. Bataee, 2017 .

CFD-based erosion modelling of sand screen using dense discrete phase model: Investigating carrier fluid type effect

O. Younis, S. Ridha, Abdullah Abduljabbar, 2023, Advanced Powder Technology.

Strength prediction of Class G oilwell cement during early ages by electrical conductivity

S. Irawan, B. Ariwahjoedi, S. Ridha, 2013, Journal of Petroleum Exploration and Production Technology.

Machine Learning Methods for Herschel–Bulkley Fluids in Annulus: Pressure Drop Predictions and Algorithm Performance Evaluation

Suhaib Umer Ilyas, P. Vasant, S. Ridha, 2020, Applied Sciences.

Dual modification approach for tapioca starch using gamma irradiation and carboxymethylation

Maqsood Ahmad, S. Ridha, N. Lashari, 2023, Hybrid Advances.

An alternative approach for dynamic modeling in a complexly structured and heterogeneous carbonate gas reservoir: a field case study

S. Ridha, M. Ismail, A. Buntoro, 2017, Arabian Journal of Geosciences.

Development of a modified Bourgoyne and Young model for predicting drilling rate

Syahrir Ridha, Sonny Irawan, Arina Sauki, 2021 .

Graphene nanoplatelets as high-performance filtration control material in water-based drilling fluids

S. Ridha, Arif Ibrahim, S. Fonna, 2018 .

The suitability of fly ash based geopolymer cement for oil well cementing applications: A review

S. Irawan, S. Ridha, K. Dinesh, 2018 .

Wellbore stability model based on iterative coupling method in water alternating gas injection

Syahrir Ridha, Mahmood Bataee, Sonny Irawan, 2016, Journal of Petroleum Exploration and Production Technology.

Development of DNN Model for Predicting Surge Pressure Gradient During Tripping Operations

P. Vasant, S. Krishna, S. Ridha, 2020 .

Rheological behavior of stabilized diamond-graphene nanoplatelets hybrid nanosuspensions in mineral oil

Suhaib Umer Ilyas, P. Estellé, Rajashekhar Pendyala, 2021 .