|Zhangxing (John) Chen|
Eastern Institute of Technology, Ningbo, China / University of Calgary, Canada
The development of reservoir simulators has been concentrated on conventional oil and gas reservoirs in the last century, and efficient black oil, compositional and thermal simulators have been successful in their application to the recovery of conventional oil and gas resources. As these conventional resources dwindle, the recovery of unconventional oil and gas (such as heavy oil, oil sands, tight and shale oil and gas, and coalbed methane) resources is now at the center stage. While the development of unconventional reservoir simulators has been focused on in this century, a lot of challenges still exist because of the significant differences between conventional and unconventional reservoirs in their multi-scale phenomena, fluid occurrence states, flow mechanisms, and production technologies.
The speaker has engaged in the development of reservoir simulators for over 30 years. His group has developed parallel and intelligent simulators that can efficiently simulate complex fluid flow problems with giga (billion) grid block cells and reduce simulation time from days to seconds. For over ten years, his group has also incorporated artificial intelligence (AI) and quantum computing algorithms into these reservoir simulators. Fast and accurate simulators can increase energy production due to full utilization of available data and better understanding of the chemical and physical mechanisms involved, process designs and uncertainty analyses. In this plenary presentation, the speaker will give an overview on the development of conventional and unconventional reservoir simulators, the incorporation of parallel and AI algorithms into these simulators, and the quantum computing potential to solve reservoir simulation problems. The present status, existing challenges, and future prospects on reservoir simulators will be emphasized in this plenary presentation.
Institute for Integrated Cell-Material Sciences (iCeMS) Kyoto University, Japan
CNRS, Laboratory of Catalysis and Spectrochemistry (LCS), ENSICAEN, Normandy University, France
Nanozeolites offer several key advantages over their conventional micron-sized counterparts, such as high surface-to-volume ratios that provide greater access to more active sites, rapid diffusion properties, and rich chemistry. Furthermore, the direct synthesis using inorganic structure-directing agents ensures the formation of nanozeolites with uniform elemental composition and desirable adsorption properties, eliminating the need for post-synthetic calcination treatment.
In this presentation, I will discuss the synthesis of nanosized zeolites with various sizes, morphologies, and framework structures by tailoring the crystallization process. The diffusion properties of the nanosized zeolites were studied through breakthrough curve analysis, revealing exceptionally sharp curves indicative of rapid diffusion due to the nanosized crystals and desired morphology. The unique adsorption properties of nanozeolites make them interesting candidates for gas separation applications in humid streams.
Shanghai Jiao Tong University, China
Multiscale Considerations on Porous Media Heat Transfer