Modern Bitumen Oil Mixture Models in Ashalchinsky Field with Low-Viscosity Solvent at Various Temperatures and Solvent Concentrations
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Ekaterina Leusheva & Valentin Morenov, 2022. "Effect of Temperature Conditions in Arctic Offshore Oil Fields on the Rheological Properties of Various Based Drilling Muds," Energies, MDPI, vol. 15(15), pages 1-10, August.
- Inzir Raupov & Ramis Burkhanov & Azat Lutfullin & Alexander Maksyutin & Andrey Lebedev & Elena Safiullina, 2022. "Experience in the Application of Hydrocarbon Optical Studies in Oil Field Development," Energies, MDPI, vol. 15(10), pages 1-18, May.
- Anatoliy Andreevich Isaev & Mekhrali Mirzali Ogly Aliev & Alexander Nikolaevich Drozdov & Yana Alekseevna Gorbyleva & Karina Shamilyevna Nurgalieva, 2022. "Improving the Efficiency of Curved Wells’ Operation by Means of Progressive Cavity Pumps," Energies, MDPI, vol. 15(12), pages 1-14, June.
- Pouya Abdollahpour & Seyyed Shahab Tabatabaee Moradi & Ekaterina Leusheva & Valentin Morenov, 2022. "A Numerical Study on the Application of Stress Cage Technology," Energies, MDPI, vol. 15(15), pages 1-13, July.
- Ke Wang & Harrie Vredenburg & Jianliang Wang & Yi Xiong & Lianyong Feng, 2017. "Energy Return on Investment of Canadian Oil Sands Extraction from 2009 to 2015," Energies, MDPI, vol. 10(5), pages 1-13, May.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Andrey Lebedev & Alexey Cherepovitsyn, 2024. "Waste Management during the Production Drilling Stage in the Oil and Gas Sector: A Feasibility Study," Resources, MDPI, vol. 13(2), pages 1-30, February.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Alexander Nikolaev & Kristina Plotnikova, 2023. "Study of the Rheological Properties and Flow Process of High-Viscosity Oil Using Depressant Additives," Energies, MDPI, vol. 16(17), pages 1-19, August.
- Charles Guay-Boutet, 2023. "Estimating the Disaggregated Standard EROI of Canadian Oil Sands Extracted via Open-pit Mining, 1997–2016," Biophysical Economics and Resource Quality, Springer, vol. 8(1), pages 1-21, March.
- Victor Duryagin & Thang Nguyen Van & Nikita Onegov & Galiya Shamsutdinova, 2022. "Investigation of the Selectivity of the Water Shutoff Technology," Energies, MDPI, vol. 16(1), pages 1-16, December.
- David J. Murphy & Marco Raugei & Michael Carbajales-Dale & Brenda Rubio Estrada, 2022. "Energy Return on Investment of Major Energy Carriers: Review and Harmonization," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
- Ionel Jianu & Iulia Jianu, 2018. "The Share Price and Investment: Current Footprints for Future Oil and Gas Industry Performance," Energies, MDPI, vol. 11(2), pages 1-15, February.
- Delannoy, Louis & Longaretti, Pierre-Yves & Murphy, David J. & Prados, Emmanuel, 2021. "Peak oil and the low-carbon energy transition: A net-energy perspective," Applied Energy, Elsevier, vol. 304(C).
- Jingxuan Feng & Lianyong Feng & Jianliang Wang, 2018. "Analysis of Point-of-Use Energy Return on Investment and Net Energy Yields from China’s Conventional Fossil Fuels," Energies, MDPI, vol. 11(2), pages 1-21, February.
- Dmitriy Podoprigora & Roman Byazrov & Julia Sytnik, 2022. "The Comprehensive Overview of Large-Volume Surfactant Slugs Injection for Enhancing Oil Recovery: Status and the Outlook," Energies, MDPI, vol. 15(21), pages 1-21, November.
- Kyaw Zay Ya & Boris Goryachev & Arkadiy Adigamov & Karina Nurgalieva & Igor Narozhnyy, 2022. "Thermodynamics and Electrochemistry of the Interaction of Sphalerite with Iron (II)-Bearing Compounds in Relation to Flotation," Resources, MDPI, vol. 11(12), pages 1-10, November.
- Abdullah M. Iliyasu & Dakhkilgova Kamila Bagaudinovna & Ahmed S. Salama & Gholam Hossein Roshani & Kaoru Hirota, 2023. "A Methodology for Analysis and Prediction of Volume Fraction of Two-Phase Flow Using Particle Swarm Optimization and Group Method of Data Handling Neural Network," Mathematics, MDPI, vol. 11(4), pages 1-14, February.
- Abdulilah Mohammad Mayet & Karina Shamilyevna Nurgalieva & Ali Awadh Al-Qahtani & Igor M. Narozhnyy & Hala H. Alhashim & Ehsan Nazemi & Ilya M. Indrupskiy, 2022. "Proposing a High-Precision Petroleum Pipeline Monitoring System for Identifying the Type and Amount of Oil Products Using Extraction of Frequency Characteristics and a MLP Neural Network," Mathematics, MDPI, vol. 10(16), pages 1-20, August.
More about this item
Keywords
Canadian oil sands; bitumen oil; heavy oil; transportation; oil mixtures; rheology models; low-viscosity hydrocarbon solvents; hot pipelines; paraffinic oil deposits;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:395-:d:1019097. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.