Solar Generated Steam Injection in Hamca, Venezuelan Extra Heavy Oil Reservoir; Simulation Study for Oil Recovery Performance, Economical and Environmental Feasibilities

Yegane, Mohsen Mirzaie; Ayatollahi, Shahab; Bashtani, Farzad; Romero, Carolina

doi:10.2118/174305-ms

Cited by 8 publications

(5 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Such relationships can be utilized in waste water treatment, pollutant transport, modelling of drug movement in live tissues, reservoir characterization, reservoir engineering, and enhanced oil recovery techniques. [3][4][5] Quantitative characterization of the microstructure, pore-scale physics, and solution of the fluid transport equation is necessary for modelling transport phenomena in porous media. [1,2] Synchrotron X-ray computed microtomography [6][7][8] directly maps the pore scale microstructure in 3D.…”

mentioning

confidence: 99%

Random network modelling approach to investigate the single‐phase and quasi‐static immiscible two‐phase flow properties in the Mesaverde formation

et al. 2016

Self Cite

View full text Add to dashboard Cite

Understanding the microscopic flow behaviour of hydrocarbons and water in porous media gains importance as more and more reservoirs are being exploited. Network modelling techniques could be extended to tighter media as long as Darcy's law is applicable. 3D random networks are constructed in order to represent the Mesaverde formation which is located in north Wyoming, USA. The network modelling software solves the fundamental equations of single-phase and two-phase immiscible flow incorporating wettability and contact angle assuming a quasi-static displacement mechanism. Macroscopic properties of the porous media network representation such as porosity, absolute permeability, and formation factor are calculated and whenever possible compared to experimental data. Subsequently, immiscible two-phase flow properties such as capillary pressure, relative permeability, and resistivity curves are predicted and compared to available experimental data. The effect of interfacial tension alteration is also investigated as an attempt to demonstrate the capability of the network modelling technique to show physical fluid behaviour. It is observed that the capillary pressure curve obtained using MICP data can be used to calibrate and validate the network model generated to represent the sample. The study shows that the modified random network modelling technique is capable of modelling low permeable porous medium and predicting single-phase and immiscible two-phase flow properties assuming quasi-static displacement mechanism.

show abstract

mentioning

confidence: 99%

Random network modelling approach to investigate the single‐phase and quasi‐static immiscible two‐phase flow properties in the Mesaverde formation

et al. 2016

Self Cite

View full text Add to dashboard Cite

show abstract

“…Meanwhile, Venezuelan heavy oil reservoirs are treated with steam injection to increase oil recovery. Yegane et al [11] studied solar steam-generated steam injection in Hamca, a Venezuelan extra-heavy oil reservoir. Instead of using the steam generator for extra-heavy oil reservoirs, the authors proposed a solar steam generation system.…”

Section: Solar Thermal Applications For Heavy Oil Recoverymentioning

confidence: 99%

Green Energy Sources Reduce Carbon Footprint of Oil & Gas Industry Processes: A Review

Temizel¹,

Aydın²,

Hosgor³

et al. 2023

J Energ Power Technol

View full text Add to dashboard Cite

In recent years, the oil and gas sector has been moving towards green production methods to achieve net-zero emission goals. Governments and corporations have started large-scale initiatives to deploy advanced technologies to reduce carbon footprints and prevent global warming. Herein, we have explored the emerging techniques and methods used in reducing the effects of gas emissions in the oil and gas industry. The transition process from hydrocarbons to renewable energy resources, including solar thermal applications for EOR, thermal energy extraction from hydrocarbon reservoirs, hydrogen generation strategies, and CO<sub>2</sub> EOR and storage applications, has also been discussed. Literature information and publicly available data have paved the way to provide the theoretical background, the rationale of use, screening and selection criteria, challenges, and workarounds for these novel energy sources. Systems to integrate green methods into oil and gas processes appear in detail, from screening to implementation. Then, the technical information for integrating these resources under multiple conditions that affect the system's efficiency, such as weather, seasonal temperature changes, wind, and solar exposure, have been investigated. Moreover, added benefits of such incorporation strategies, such as improved economics with minimal effects on capital intensiveness or other burdens on the overall economy, have also been addressed. The transition from fossil fuels to renewable and greener energy resources provided the underlying motivation for this study.

show abstract

“…Such models can predict petrophysical (eg, porosity, permeability, and formation factor) and flow properties (eg, capillary pressure, and relative permeability curves) inside a porous medium taking into account complex physical phenomenon occurring at such scale. Such petrophysical and flow properties have applications in various fields such as waste water treatment, underground water reservoir management, reservoir characterization, and enhanced oil recovery techniques …”

Section: Introductionmentioning

confidence: 99%

Scale‐up of pore‐level relative permeability from micro‐ to macro‐scale

Bashtani

Kantzas

2020

Can J Chem Eng

Self Cite

View full text Add to dashboard Cite

Scaling up relative permeability curves of wetting and nonwetting phase of drainage and imbibition processes from pore scale to macro scale is a challenge. A new method for scaling up relative permeability from micro‐ to macro‐scale is proposed based on electrical analogy of multiphase fluid flow at pore scale. The method is validated against four synthetic porous media generated using homogeneous and heterogeneous grain size distributions, each of which were cut into eight sub‐segments. Single‐phase and two‐phase flow properties were calculated for the main blocks and the subsequent sub‐segments using random network modelling technique. Then, the subsegments were randomly distributed in space to reconstruct the main blocks and the proposed scale‐up method was employed to calculate the relative permeability curves of the reconstructed blocks. Results were compared to the ones obtained directly from the network model of the original blocks and show good agreement between the calculated and scaled‐up relative permeability curves of primary drainage and secondary imbibition. Furthermore, the model was tested on real media. Eight network models were extracted from pore size distribution of core samples obtained from the Green River basin located in the Mesaverde Formation. Flow properties obtained from the network models were validated against experimental data and good agreement was observed. These network models show a higher level of heterogeneity at micro‐scale. Then, the scale‐up methods were employed in order to reconstruct the macro‐scale sample and predict its properties. Scale‐up methods successfully predict the single‐phase and two‐phase flow properties of the sample.

show abstract

Solar Generated Steam Injection in Hamca, Venezuelan Extra Heavy Oil Reservoir; Simulation Study for Oil Recovery Performance, Economical and Environmental Feasibilities

Cited by 8 publications

References 6 publications

Random network modelling approach to investigate the single‐phase and quasi‐static immiscible two‐phase flow properties in the Mesaverde formation

Random network modelling approach to investigate the single‐phase and quasi‐static immiscible two‐phase flow properties in the Mesaverde formation

Green Energy Sources Reduce Carbon Footprint of Oil & Gas Industry Processes: A Review

Scale‐up of pore‐level relative permeability from micro‐ to macro‐scale

Contact Info

Product

Resources

About