M. K. Emera - Concepedia

Author

M. K. Emera

The University of Adelaide

Also Known As

M. Emera, M. K. Emera, M.K. Emera, Mohammed Emera, Mohammed K. Emera

Publications

415

Citations

H-Index

Concepts

All Affiliations

The University of Adelaide

About

M. K. Emera is an author at The University of Adelaide specializing in engineering, petroleum engineering, and civil engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	8	8	352
2	Biostatistics	2	2	28
3	Chemical Engineering	2	2	68
4	Natural Sciences	1	1	54
5	Chemistry	1	1	42

M. K. Emera

Publications

391

Citations

H-Index

Page 1

	Year	Citations
Use of genetic algorithm to estimate CO2–oil minimum miscibility pressure—a key parameter in design of CO2 miscible flood M. K. Emera, Hemanta Sarma Journal of Petroleum Science and Engineering Petroleum EngineeringEngineeringGas Field DevelopmentCo2 Immiscible FloodingCivil Engineering	2004	139
A New Optimization Model for 3d Well Design Eissa M. El-M. Shokir, M. K. Emera, S. M. Eid, Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles Engineering3D ModelingDrilling DepthComputer-aided DesignNew Optimization Model	2004	54
Prediction of CO<sub>2</sub>Solubility in Oil and the Effects on the Oil Physical Properties M. K. Emera, Hemanta Sarma Energy Sources Part A Recovery Utilization and Environmental Effects Materials SciencePetroleum ReservoirChemical EngineeringFluid PropertiesEngineering	2007	42
A Genetic Algorithm-Based Model to Predict CO-Oil Physical Properties for Dead and Live Oil M. K. Emera, Hemanta Sarma Journal of Canadian Petroleum Technology Genetic Algorithm-based ModelEngineeringIndustrial EngineeringLife PredictionPetroleum Production Engineering	2008	41
An Experimental Study and Genetic Algorithm (GA) Correlation to Explore the Effect of nC5 on Impure CO2 Minimum Miscibility Pressure (MMP) J. Bon, M. K. Emera, Hemanta Sarma EngineeringWell StimulationGas-liquid FlowReservoir EngineeringChemical Engineering	2006	26
Genetic Algorithm (GA)-Based Correlations Offer More Reliable Prediction of Minimum Miscibility Pressures (MMP) Between the Reservoir Oil and CO2 or Flue Gas M. K. Emera Canadian International Petroleum Conference	2005	24
Use of Genetic Algorithm to Predict Minimum Miscibility Pressure (MMP) between Flue Gases and Oil in Design of Flue Gas Injection Project M. K. Emera, Hemanta Sarma SPE Middle East Oil and Gas Show and Conference New Genetic AlgorithmEngineeringIndustrial EngineeringMechanical EngineeringPetroleum Production Engineering	2005	22
Genetic Algorithm (GA)-Based Correlations Offer More Reliable Prediction of Minimum Miscibility Pressures (MMP) Between Reservoir Oil and CO2 or Flue Gas M. K. Emera, Farzam Javadpour, Hemanta Sarma Journal of Canadian Petroleum Technology New Genetic AlgorithmPetroleum ReservoirGas Field DevelopmentEngineeringReliable Prediction	2007	15
A Genetic Algorithm-Based Model to Predict CO-oil Physical Properties for Dead and Live Oil M. K. Emera, Hemanta Sarma Canadian International Petroleum Conference	2006	15
A Reliable Correlation To Predict the Change in Minimum Miscibility Pressure When CO2 Is Diluted With Other Gases M. K. Emera, Hemanta Sarma SPE Reservoir Evaluation & Engineering Carbon SequestrationPetroleum EngineeringMinimum Miscibility PressureGa SoftwareEngineering	2006	13

Page 1