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Papers by Ronald Ssebadduka

Research paper thumbnail of Experimental investigation on plugging performance of CO2 microbubbles in porous media

Journal of Petroleum Science and Engineering, Apr 1, 2022

Research paper thumbnail of Application of Lithium Modified Zif-90 in a Hybrid Absorption-Adsorption Method for Carbon Capture

Research paper thumbnail of Artificial Neural Network Model Prediction of Bitumen/Light Oil Mixture Viscosity under Reservoir Temperature and Pressure Conditions as a Superior Alternative to Empirical Models

Energies, 2021

Herein, we show the prediction of the viscosity of a binary mixture of bitumen and light oil usin... more Herein, we show the prediction of the viscosity of a binary mixture of bitumen and light oil using a feedforward neural network with backpropagation model, as compared to empirical models such as the reworked van der Wijk model (RVDM), modified van der Wijk model (MVDM), and Al-Besharah. The accuracy of the ANN was based on all of the samples, while that of the empirical models was analyzed based on experimental results obtained from rheological studies of three binary mixtures of light oil (API 32°) and bitumen (API 7.39°). The classical Mehrotra–Svrcek model to predict the viscosity of bitumen under temperature and pressure, which estimated bitumen results with an %AAD of 3.86, was used along with either the RVDM or the MVDM to estimate the viscosity of the bitumen and light oil under reservoir temperature and pressure conditions. When both the experimental and literature data were used for comparison to an artificial neural network (ANN) model, the MVDM, RVDM and Al-Besharah had ...

Research paper thumbnail of An Analysis of the Possible Financial Savings of a Carbon Capture Process Through Carbon Dioxide Absorption and Geological Dumping

International Journal of Energy Economics and Policy

Research paper thumbnail of New Method to Predict the Viscosity of Bitumen Diluted with Light Oil Using a Modified Van Der Wijk Model under Reservoir Temperature and Pressure

ACS Omega

In this study, we introduce a new method for the prediction of the viscosity of bitumen diluted w... more In this study, we introduce a new method for the prediction of the viscosity of bitumen diluted with light oil under reservoir temperature and pressure. This two-step method works as follows: first, predicting the bitumen viscosity under reservoir temperature and pressure using the classical Mehrotra and Svrcek model, and then subsequently using it in the modified Van Der Wijk (MVDM) model. This model formed from the modification of the original Van Der Wijk model was developed from the consideration of the interactions between like molecules in different binary components of the mixture. In this study, the bitumen viscosity was predicted with an average absolute deviation percentage (AAD%) of 3.86. The accuracy of the MVDM was investigated from the experimental results obtained from the rheological studies of three binary mixtures of light oil (API 32°) and bitumen (API 7.39°). Dead oils were mixed on a mass fraction basis. The viscosity was measured at a temperature range of 45−110°C and a pressure range of 0.1−6 MPa. For comparison purposes, a reworked Van Der Wijk model (RVDM) was used in the same method and compared to the MVDM. The latter was more accurate than the RVDM with AAD% values of 8.88, 8.02, and 5.07 in predicting the viscosity of the three mixtures of 25, 32.5, and 50% bitumen with light oil. On the other hand, the RVDM had AAD% values of 12.42, 11.43, and 7.87 for the same mixtures, respectively. The applicability of this method was further verified by comparing its accuracy to another reported method using published data and it was found that the MVDM had AAD% values of 1.86, 6.55, and 2.823 when predicting the viscosities of the three mixtures under reservoir temperature and pressure conditions.

Research paper thumbnail of Experimental investigation on plugging performance of CO2 microbubbles in porous media

Journal of Petroleum Science and Engineering

Research paper thumbnail of Measurements of CO2 molecular diffusion coefficients in crude oils from swelling-time curve and estimation using viscosity from the Stokes-Einstein formula

The CO2 diffusion coefficients in crude oils were measured from curves of oil-swelling vs. elapse... more The CO2 diffusion coefficients in crude oils were measured from curves of oil-swelling vs. elapsed time with CO2 dissolution in the oils. The oil swelling was measured with CO2 up to a pressure of 10 MPa at 50 °C. The swelling coefficient and diffusion coefficient of CO2 and CH4 gases in the oil column were compared with CH4 gas. The diffusion coefficient of the heavy oil was evaluated as approximately 1.1–1.6% of that of bitumen. The swelling factors increased with pressure, and the diffusion coefficients in CO2 supercritical range were more than twice as high as those in the CO2 gas phase. An empirical equation to estimate gas solubility in crude oils vs. API gravity has been presented as well. Gas diffusion coefficients were shown to relate to oil viscosity based on the Stokes-Einstein formula and a new correlation between the two with the absolute average deviation (AAD%) of about 15.5%, derived.

Research paper thumbnail of Numerical Simulation of Crown Pillar Behaviour in Transition from Open Pit to Underground Mining

Geotechnical and Geological Engineering

Research paper thumbnail of Measurements of CO2 molecular diffusion coefficients in crude oils from swelling-time curve and estimation using viscosity from the Stokes-Einstein formula

Journal of Petroleum Science and Engineering

Research paper thumbnail of Separation of methane/ethylene gas mixtures efficiently by using ZIF-67/water-ethylene glycol slurry

Fluid Phase Equilibria, 2016

Research paper thumbnail of Measurements of CO2 molecular diffusion coefficients in crude oils from swelling-time curve and estimation using viscosity from the Stokes-Einstein formula

Journal of Petroleum Science and Engineering

Research paper thumbnail of New Method to Predict the Viscosity of Bitumen Diluted with Light Oil Using a Modified Van Der Wijk Model under Reservoir Temperature and Pressure

New Method to Predict the Viscosity of Bitumen Diluted with Light Oil Using a Modified Van Der Wijk Model under Reservoir Temperature and Pressure, 2021

In this study, we introduce a new method for the prediction of the viscosity of bitumen diluted w... more In this study, we introduce a new method for the prediction of the viscosity of bitumen diluted with light oil under reservoir temperature and pressure. This two-step method works as follows: first, predicting the bitumen viscosity under reservoir temperature and pressure using the classical Mehrotra and Svrcek model, and then subsequently using it in the modified Van Der Wijk (MVDM) model. This model formed from the modification of the original Van Der Wijk model was developed from the consideration of the interactions between like molecules in different binary components of the mixture. In this study, the bitumen viscosity was predicted with an average absolute deviation percentage (AAD%) of 3.86. The accuracy of the MVDM was investigated from the experimental results obtained from the rheological studies of three binary mixtures of light oil (API 32°) and bitumen (API 7.39°). Dead oils were mixed on a mass fraction basis. The viscosity was measured at a temperature range of 45−110°C and a pressure range of 0.1−6 MPa. For comparison purposes, a reworked Van Der Wijk model (RVDM) was used in the same method and compared to the MVDM. The latter was more accurate than the RVDM with AAD% values of 8.88, 8.02, and 5.07 in predicting the viscosity of the three mixtures of 25, 32.5, and 50% bitumen with light oil. On the other hand, the RVDM had AAD% values of 12.42, 11.43, and 7.87 for the same mixtures, respectively. The applicability of this method was further verified by comparing its accuracy to another reported method using published data and it was found that the MVDM had AAD% values of 1.86, 6.55, and 2.823 when predicting the viscosities of the three mixtures under reservoir temperature and pressure conditions.

Research paper thumbnail of An Analysis of the Possible Financial Savings of a Carbon Capture Process through Carbon Dioxide Absorption and Geological Dumping

IJEEP , 2020

Herein, we discuss possible ways to reduce the cost of carbon dioxide (CO2) sequestration with a ... more Herein, we discuss possible ways to reduce the cost of carbon dioxide (CO2) sequestration with a special focus on the process and the solvent used. Modifications to the process to eliminate the stripper section and focus on just the CO2 adsorbing and geological dumping (CAGD) can lead to significant reductions in the sequestration cost per tonne of CO2 compared with ordinary CO2 capture and geological storage (CCS) processes. In the case of CAGD, savings of steam used in the ordinary CO2 capture process can go up to US$12.7per ton of CO2 captured and additional savings on the waste disposal cost of US$175/tonne of waste can be made. More savings on the energy costs for compression and cooling of the captured CO2 gas can be realized if the absorbent and flue gas/CO2 slurry is directly dumped in a geological formation. A change of the capture solvent can also make this process better economically by using the proposed substitute. Many commercially available alternatives to monoethanolamine (MEA) have been presented in this research by mainly focusing on how their loading capacity and cost compare. Aqueous Sodium carbonate (Na2CO3) has been proposed as the best material for use in the CAGD CO2 absorbing process based on the economic advantages it presents.

Research paper thumbnail of Journal Pre-proof Measurements of CO 2 molecular diffusion coefficients in crude oils from swelling-time curve and estimation using viscosity from the Stokes-Einstein formula

Measurements of CO2 molecular diffusion coefficients in crude oils from swelling-time curve and estimation using viscosity from the Stokes-Einstein formula, 2019

The CO2 diffusion coefficients in crude oils were measured from curves of oil-swelling vs. elapse... more The CO2 diffusion coefficients in crude oils were measured from curves of oil-swelling vs. elapsed time with CO2 dissolution in the oils. The oil swelling was measured with CO2 up to a pressure of 10 MPa at 50 °C. The swelling coefficient and diffusion coefficient of CO2 and CH4 gases in the oil column were compared with CH4 gas. The diffusion coefficient of the heavy oil was evaluated as approximately 1.1–1.6% of that of bitumen. The swelling factors increased with pressure, and the diffusion coefficients in CO2 supercritical range were more than twice as high as those in the CO2 gas phase. An empirical equation to estimate gas solubility in crude oils vs. API gravity has been presented as well. Gas diffusion coefficients were shown to relate to oil viscosity based on the Stokes-Einstein formula and a new correlation between the two with the absolute average deviation (AAD%) of about 15.5%, derived.

Research paper thumbnail of Experimental investigation on plugging performance of CO2 microbubbles in porous media

Journal of Petroleum Science and Engineering, Apr 1, 2022

Research paper thumbnail of Application of Lithium Modified Zif-90 in a Hybrid Absorption-Adsorption Method for Carbon Capture

Research paper thumbnail of Artificial Neural Network Model Prediction of Bitumen/Light Oil Mixture Viscosity under Reservoir Temperature and Pressure Conditions as a Superior Alternative to Empirical Models

Energies, 2021

Herein, we show the prediction of the viscosity of a binary mixture of bitumen and light oil usin... more Herein, we show the prediction of the viscosity of a binary mixture of bitumen and light oil using a feedforward neural network with backpropagation model, as compared to empirical models such as the reworked van der Wijk model (RVDM), modified van der Wijk model (MVDM), and Al-Besharah. The accuracy of the ANN was based on all of the samples, while that of the empirical models was analyzed based on experimental results obtained from rheological studies of three binary mixtures of light oil (API 32°) and bitumen (API 7.39°). The classical Mehrotra–Svrcek model to predict the viscosity of bitumen under temperature and pressure, which estimated bitumen results with an %AAD of 3.86, was used along with either the RVDM or the MVDM to estimate the viscosity of the bitumen and light oil under reservoir temperature and pressure conditions. When both the experimental and literature data were used for comparison to an artificial neural network (ANN) model, the MVDM, RVDM and Al-Besharah had ...

Research paper thumbnail of An Analysis of the Possible Financial Savings of a Carbon Capture Process Through Carbon Dioxide Absorption and Geological Dumping

International Journal of Energy Economics and Policy

Research paper thumbnail of New Method to Predict the Viscosity of Bitumen Diluted with Light Oil Using a Modified Van Der Wijk Model under Reservoir Temperature and Pressure

ACS Omega

In this study, we introduce a new method for the prediction of the viscosity of bitumen diluted w... more In this study, we introduce a new method for the prediction of the viscosity of bitumen diluted with light oil under reservoir temperature and pressure. This two-step method works as follows: first, predicting the bitumen viscosity under reservoir temperature and pressure using the classical Mehrotra and Svrcek model, and then subsequently using it in the modified Van Der Wijk (MVDM) model. This model formed from the modification of the original Van Der Wijk model was developed from the consideration of the interactions between like molecules in different binary components of the mixture. In this study, the bitumen viscosity was predicted with an average absolute deviation percentage (AAD%) of 3.86. The accuracy of the MVDM was investigated from the experimental results obtained from the rheological studies of three binary mixtures of light oil (API 32°) and bitumen (API 7.39°). Dead oils were mixed on a mass fraction basis. The viscosity was measured at a temperature range of 45−110°C and a pressure range of 0.1−6 MPa. For comparison purposes, a reworked Van Der Wijk model (RVDM) was used in the same method and compared to the MVDM. The latter was more accurate than the RVDM with AAD% values of 8.88, 8.02, and 5.07 in predicting the viscosity of the three mixtures of 25, 32.5, and 50% bitumen with light oil. On the other hand, the RVDM had AAD% values of 12.42, 11.43, and 7.87 for the same mixtures, respectively. The applicability of this method was further verified by comparing its accuracy to another reported method using published data and it was found that the MVDM had AAD% values of 1.86, 6.55, and 2.823 when predicting the viscosities of the three mixtures under reservoir temperature and pressure conditions.

Research paper thumbnail of Experimental investigation on plugging performance of CO2 microbubbles in porous media

Journal of Petroleum Science and Engineering

Research paper thumbnail of Measurements of CO2 molecular diffusion coefficients in crude oils from swelling-time curve and estimation using viscosity from the Stokes-Einstein formula

The CO2 diffusion coefficients in crude oils were measured from curves of oil-swelling vs. elapse... more The CO2 diffusion coefficients in crude oils were measured from curves of oil-swelling vs. elapsed time with CO2 dissolution in the oils. The oil swelling was measured with CO2 up to a pressure of 10 MPa at 50 °C. The swelling coefficient and diffusion coefficient of CO2 and CH4 gases in the oil column were compared with CH4 gas. The diffusion coefficient of the heavy oil was evaluated as approximately 1.1–1.6% of that of bitumen. The swelling factors increased with pressure, and the diffusion coefficients in CO2 supercritical range were more than twice as high as those in the CO2 gas phase. An empirical equation to estimate gas solubility in crude oils vs. API gravity has been presented as well. Gas diffusion coefficients were shown to relate to oil viscosity based on the Stokes-Einstein formula and a new correlation between the two with the absolute average deviation (AAD%) of about 15.5%, derived.

Research paper thumbnail of Numerical Simulation of Crown Pillar Behaviour in Transition from Open Pit to Underground Mining

Geotechnical and Geological Engineering

Research paper thumbnail of Measurements of CO2 molecular diffusion coefficients in crude oils from swelling-time curve and estimation using viscosity from the Stokes-Einstein formula

Journal of Petroleum Science and Engineering

Research paper thumbnail of Separation of methane/ethylene gas mixtures efficiently by using ZIF-67/water-ethylene glycol slurry

Fluid Phase Equilibria, 2016

Research paper thumbnail of Measurements of CO2 molecular diffusion coefficients in crude oils from swelling-time curve and estimation using viscosity from the Stokes-Einstein formula

Journal of Petroleum Science and Engineering

Research paper thumbnail of New Method to Predict the Viscosity of Bitumen Diluted with Light Oil Using a Modified Van Der Wijk Model under Reservoir Temperature and Pressure

New Method to Predict the Viscosity of Bitumen Diluted with Light Oil Using a Modified Van Der Wijk Model under Reservoir Temperature and Pressure, 2021

In this study, we introduce a new method for the prediction of the viscosity of bitumen diluted w... more In this study, we introduce a new method for the prediction of the viscosity of bitumen diluted with light oil under reservoir temperature and pressure. This two-step method works as follows: first, predicting the bitumen viscosity under reservoir temperature and pressure using the classical Mehrotra and Svrcek model, and then subsequently using it in the modified Van Der Wijk (MVDM) model. This model formed from the modification of the original Van Der Wijk model was developed from the consideration of the interactions between like molecules in different binary components of the mixture. In this study, the bitumen viscosity was predicted with an average absolute deviation percentage (AAD%) of 3.86. The accuracy of the MVDM was investigated from the experimental results obtained from the rheological studies of three binary mixtures of light oil (API 32°) and bitumen (API 7.39°). Dead oils were mixed on a mass fraction basis. The viscosity was measured at a temperature range of 45−110°C and a pressure range of 0.1−6 MPa. For comparison purposes, a reworked Van Der Wijk model (RVDM) was used in the same method and compared to the MVDM. The latter was more accurate than the RVDM with AAD% values of 8.88, 8.02, and 5.07 in predicting the viscosity of the three mixtures of 25, 32.5, and 50% bitumen with light oil. On the other hand, the RVDM had AAD% values of 12.42, 11.43, and 7.87 for the same mixtures, respectively. The applicability of this method was further verified by comparing its accuracy to another reported method using published data and it was found that the MVDM had AAD% values of 1.86, 6.55, and 2.823 when predicting the viscosities of the three mixtures under reservoir temperature and pressure conditions.

Research paper thumbnail of An Analysis of the Possible Financial Savings of a Carbon Capture Process through Carbon Dioxide Absorption and Geological Dumping

IJEEP , 2020

Herein, we discuss possible ways to reduce the cost of carbon dioxide (CO2) sequestration with a ... more Herein, we discuss possible ways to reduce the cost of carbon dioxide (CO2) sequestration with a special focus on the process and the solvent used. Modifications to the process to eliminate the stripper section and focus on just the CO2 adsorbing and geological dumping (CAGD) can lead to significant reductions in the sequestration cost per tonne of CO2 compared with ordinary CO2 capture and geological storage (CCS) processes. In the case of CAGD, savings of steam used in the ordinary CO2 capture process can go up to US$12.7per ton of CO2 captured and additional savings on the waste disposal cost of US$175/tonne of waste can be made. More savings on the energy costs for compression and cooling of the captured CO2 gas can be realized if the absorbent and flue gas/CO2 slurry is directly dumped in a geological formation. A change of the capture solvent can also make this process better economically by using the proposed substitute. Many commercially available alternatives to monoethanolamine (MEA) have been presented in this research by mainly focusing on how their loading capacity and cost compare. Aqueous Sodium carbonate (Na2CO3) has been proposed as the best material for use in the CAGD CO2 absorbing process based on the economic advantages it presents.

Research paper thumbnail of Journal Pre-proof Measurements of CO 2 molecular diffusion coefficients in crude oils from swelling-time curve and estimation using viscosity from the Stokes-Einstein formula

Measurements of CO2 molecular diffusion coefficients in crude oils from swelling-time curve and estimation using viscosity from the Stokes-Einstein formula, 2019

The CO2 diffusion coefficients in crude oils were measured from curves of oil-swelling vs. elapse... more The CO2 diffusion coefficients in crude oils were measured from curves of oil-swelling vs. elapsed time with CO2 dissolution in the oils. The oil swelling was measured with CO2 up to a pressure of 10 MPa at 50 °C. The swelling coefficient and diffusion coefficient of CO2 and CH4 gases in the oil column were compared with CH4 gas. The diffusion coefficient of the heavy oil was evaluated as approximately 1.1–1.6% of that of bitumen. The swelling factors increased with pressure, and the diffusion coefficients in CO2 supercritical range were more than twice as high as those in the CO2 gas phase. An empirical equation to estimate gas solubility in crude oils vs. API gravity has been presented as well. Gas diffusion coefficients were shown to relate to oil viscosity based on the Stokes-Einstein formula and a new correlation between the two with the absolute average deviation (AAD%) of about 15.5%, derived.