Sandra Sarrazin | Petroleum Engineering | Best Researcher Award

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Prof. Dr. Sandra Sarrazin | Petroleum Engineering | Best Researcher Award

Professor at Universidade Federal do Oeste do Pará | Brazil

Prof. Dr. Sandra Layse Ferreira Sarrazin is a distinguished Brazilian biologist and pharmacologist whose scientific career reflects a profound dedication to research in therapeutic innovation, natural product bioprospecting, and public health within the Amazon region. As a researcher and professor at the Federal University of Western Pará, she has led and collaborated on numerous interdisciplinary projects exploring the pharmacological potential of Amazonian biodiversity, with an emphasis on essential oils, phytopharmaceuticals, and antioxidant compounds derived from native plants. Her studies have significantly advanced understanding of toxicogenomic and antimutagenic mechanisms related to environmental exposure, particularly mercury contamination in vulnerable populations such as pregnant women and indigenous communities. Through leadership in projects like the Rede Bionorte and initiatives focused on biotechnology and environmental health, Prof. Dr. Sandra Sarrazin has contributed to integrating research, education, and extension activities that bridge traditional knowledge with modern pharmacological science. Her prolific academic output includes influential publications in internationally recognized journals such as Journal of Ethnopharmacology, Food Chemistry, and Environmental Science & Technology, with citations reflecting her impact in ethnopharmacology and environmental toxicology. Honored for her work on the antimicrobial and antioxidant properties of Amazonian plant species, she continues to mentor emerging scientists and promote sustainable development through science-based health innovations. Prof. Dr. Sandra Sarrazin career embodies a commitment to preserving Amazonian biodiversity while transforming its resources into solutions that enhance health and well-being, reinforcing her status as a leading figure in biopharmaceutical research and an advocate for integrating biotechnology into regional and global health strategies.

Profile: Scopus

Featured Publications

Massing, L. T., Mourão, R. H. V., Sarrazin, S. L. F., Suemitsu, C., Figueiredo, P. L. B., Fernandes, C. P., Maia, J., & Guilherme, S. (2025). Citral chemotype of Pectis elongata essential oil: Nanoemulsification and enhanced antimicrobial properties for food safety.

Silva, D. M. da, Silva, L. A. da, Silva, M. D. da, Pinto, M. E. de O., Lima, V. A. de, Sarrazin, S. L. F., Silva, W. T. P. da, & Oliveira, R. B. de. (2025). Efeitos da suplementação nutricional com substâncias antioxidantes em gestantes expostas ao mercúrio na Amazônia Legal.

Amorin, A. P., Sarrazin, S. L. F., da Silva, L. A., Coelho, T. N., Cunha, A. P., de Lima, V. A., da Silva, D. M., Figueiredo, P. L. B., & de Oliveira, R. B. (2025). Opioid and nitrergic pathways mediate antinociception by Kunth essential oil

Pires, P. G. da S., Sarrazin, S. L. F., Souza, D. J. dos A., Mourão, R. H. V., Massing, L. T., Nunes, H. A. S., Barroso, A. S., & de Oliveira, R. B. (2024). Antiedema and antinociceptive potential of the essential oil of Pectis elongata Kunt (Asteraceae) from the Brazilian Amazon.

Macambira, D. V. de C., Almeida Júnior, J. S. de, Silveira, C. F. de M., Sarrazin, S. L. F., Moraes, T. M. P., da Silva, B. A., Minervino, A. H. H., Moraes, W. P., & Barata, L. E. S. (2024). Antimicrobial activity on Streptococcus mutans and Enterococcus faecalis of Cyperus articulatus ethanolic extracts.

Jinyuan Zhang | Oil and Gas Field Development Engineering | Best Researcher Award

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Mr. Jinyuan Zhang | Oil and Gas Field Development Engineering | Best Researcher Award

Researcher at Xi’an Shiyou University | China

Dr. Jinyuan Zhang is a distinguished researcher at Xi’an Shiyou University, recognized for his significant contributions to petroleum engineering and unconventional hydrocarbon development. His research focuses on shale oil reservoir characterization, volume fracturing simulation, and enhanced oil recovery, with groundbreaking applications in the Ordos Basin, one of China’s most prominent energy-producing regions. Through advanced numerical simulation and geomechanical analysis, he has provided valuable insights into the behavior of complex shale formations, fracture propagation mechanisms, and reservoir adaptability, contributing to improved field development strategies. Dr. Zhang has published multiple influential studies in international journals such as Processes, Scientific Reports, Energies, Journal of Physics: Conference Series, and Polymers, showcasing his ability to integrate theoretical understanding with practical engineering applications. His key publications, including “Numerical Simulation Study on Volume Fracturing of Shale Oil Reservoirs in Y Block of Ordos Basin” and “Kaiser Acoustic Emission Ground Stress Testing Study on Shale Oil Reservoirs,” demonstrate his capacity to bridge laboratory experimentation, data modeling, and field practice. In addition to his expertise in shale reservoir mechanics, his innovative research on polymer microspheres for plugging and profile control in enhanced oil recovery exemplifies his dedication to efficiency, sustainability, and environmental responsibility in petroleum production. Dr. Zhang’s interdisciplinary approach, combining geology, rock mechanics, and fluid dynamics, allows him to develop new evaluation methods for shale brittleness and optimize fracturing designs that increase recovery rates and reduce operational risks. His commitment to advancing clean and intelligent energy technologies aligns with global efforts toward sustainable resource development. Through his academic rigor, technical innovation, and vision for future energy systems, Dr. Zhang has established himself as a forward-thinking researcher whose contributions continue to influence the evolution of petroleum engineering and inspire emerging scholars dedicated to responsible and efficient energy exploration.

Profile: ORCID

Featured Publications

Zhang, J., Chen, J., Sun, Z., Xiong, J., Wang, H., Song, W., & Lei, J. (2025). Numerical simulation study on volume fracturing of shale oil reservoirs in Y block of Ordos Basin, China.

Zhang, J., Chen, J., Lei, J., Xiong, J., Nie, X., Gong, D., Ning, P., & Shi, R. (2025). Kaiser acoustic emission ground stress testing study on shale oil reservoir in Y block of Ordos Basin, China.

Zhang, J., Chen, J., Lei, J., Xiong, J., Nie, X., & Li, Z. (2024). Geological characteristics and volume fracturing adaptability of tight oil reservoirs in the Ordos Basin of China.

Zhang, J., Chen, J., Xiong, J., Nie, X., Gong, D., Li, Z., & Lei, J. (2024). A new method for evaluating the brittleness of shale oil reservoirs in Block Y of Ordos Basin of China.

Nie, X., Chen, J., Cao, Y., Zhang, J., Zhao, W., He, Y., Hou, Y., & Yuan, S. (2019). Investigation on plugging and profile control of polymer microspheres as a displacement fluid in enhanced oil recovery.

Adarsh Kumar Arya | Oil and Gas | AI and Automation in Petroleum Award

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Dr. Adarsh Kumar Arya | Oil and Gas | AI and Automation in Petroleum Award

Associate Professor at Harcourt Butler Technical University | India

Dr. Adarsh Kumar Arya is an accomplished academic and researcher with nearly two decades of expertise in chemical engineering, specializing in oil and gas pipeline engineering, natural gas optimization, and sustainable energy technologies. Currently serving as Associate Professor in the Department of Chemical Engineering at Harcourt Butler Technical University (HBTU), Kanpur, he has also held significant academic and administrative responsibilities, including Associate Dean of Incubation and Startups and coordinator roles under national higher education initiatives. He earned his Ph.D. in Chemical Engineering with a focus on natural gas pipeline optimization from the University of Petroleum and Energy Studies, Dehradun in 2015, following an M.Tech. in Chemical Engineering from HBTI Kanpur and a B.Tech. in Chemical Engineering from BIET Jhansi, complemented by specialized training in Piping Engineering from IIT Bombay. His career spans academia and industry, with professional experience at Worley Parsons on the TANAP Gas Pipeline Project, and consultancy contributions such as hydrogen compatibility studies for Indraprastha Gas Grid Limited. Dr. Arya has published extensively in reputed international journals and conference proceedings, covering areas such as multi-objective optimization of pipeline networks, hydrogen embrittlement in pipeline structures, biomass supply chain cost reduction, blockchain applications in the oil and gas industry, and corrosion mitigation in steel pipelines. He has also authored and edited multiple books on machine learning, optimization, and chemical engineering applications, alongside supervising completed and ongoing doctoral research in pipeline optimization, hydrogen transportation, and corrosion control. His scholarly work has been recognized with prestigious research awards, including the Annual Research Award (2021), a Research Excellence Award (2024) from HBTU Kanpur presented by the Hon’ble Governor of Uttar Pradesh, and a significant research grant award in 2022. With a record of five patents, consultancy projects, and contributions to curriculum design and advanced teaching, he has established himself as a thought leader in pipeline engineering and sustainable chemical processes. His research impact is reflected in 375 citations across 226 documents, 44 publications, and an h-index of 10, highlighting the depth and relevance of his contributions. Dr. Arya remains committed to advancing chemical engineering knowledge and practices through research, innovation, and mentorship, shaping both industry solutions and the next generation of engineers.

Profile: Scopus | ORCID

Featured Publications

Arya, A. K., & Kapoor, A. (2024). Environmental consequences of wind energy technologies.

Arya, A. K., Shreya, Ponnuchamy, M., Pal, D. B., & Kapoor, A. (2024). Algae biomass valorization for wastewater remediation.

Shingan, B., Pujari, M., Arya, A. K., & Singh, V. (2024). Optimizing air separation and LNG cold utilization: Energy savings, exergy efficiency, and system reliability.

Arya, A. K., Sastry, S. V. A. R., Sneha, S., Gupta, B., & Pujari, M. (2024). Recent developments in leak detection techniques for pipelines: A critical evaluation.

Mzili, T., Mzili, M., Abatal, A., & Arya, A. K. (2025). A spotted hyena algorithm for quadratic allocation problems: A novel bio-inspired solution.

Srivastava, D., & Arya, A. K. (2025). A multi-objective model to improve the profitability and reduce carbon emissions in a natural gas pipeline network.

Mzili, T., Mzili, M., Bouderba, S. I., Abatal, A., Aribowo, W., & Arya, A. K. (2025). Interoperability in Internet of Things: Taxonomies and open challenges.

Wente Niu | Petroleum Engineering | Best Researcher Award

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Dr. Wente Niu | Petroleum Engineering | Best Researcher Award

Lecturer at Yanshan University | China

Dr. Wente Niu is a dedicated academic and researcher serving as a Lecturer at Yanshan University, with a strong foundation in petroleum engineering and artificial intelligence applications. He earned his PhD from the Institute of Porous Flow and Fluid Mechanics at the Chinese Academy of Sciences, where his research explored advanced computational approaches for unconventional oil and gas development. With extensive contributions in AI-driven reservoir modeling, production forecasting, and digital twin technologies, he has positioned himself as an innovator bridging energy engineering with computer science. His expertise has directly contributed to improved reservoir characterization and efficient energy resource utilization.

Profile

Orcid

Education

Dr. Wente Niu completed his PhD at the Institute of Porous Flow and Fluid Mechanics, Chinese Academy of Sciences, specializing in fluid mechanics and subsurface flow. His academic path combined petroleum engineering fundamentals with cutting-edge computational science, enabling him to pioneer machine learning applications in reservoir engineering. His doctoral research focused on the development of AI-based models for unconventional oil and gas, providing a strong technical and theoretical background for future innovations. This foundation prepared him to explore cross-disciplinary research and teaching, while also strengthening collaborations with leading petroleum universities and industry research centers across China.

Experience

Dr. Wente Niu has significant academic and professional experience in petroleum engineering research and teaching. At Yanshan University, he lectures and supervises research integrating artificial intelligence with energy resource engineering. He has successfully completed eight research projects, including two at the national level, and currently leads projects on AI-driven reservoir simulations and digital twin development. He has collaborated with PetroChina and the China National Petroleum Corporation on industry-focused projects that apply AI to shale gas development. His experience spans reservoir characterization, machine learning frameworks, and consultancy, demonstrating his ability to link academic innovation with industrial problem-solving.

Research Interest

Dr. Wente Niu research lies at the intersection of geoscience, engineering, and computer science, with a focus on artificial intelligence applications in unconventional energy resource development. His primary interests include machine learning for subsurface characterization, production forecasting, and optimization in shale gas and tight oil reservoirs. He also explores digital core analysis and digital twin technologies to enhance reservoir simulation accuracy and efficiency. A core aspect of his work involves explainable AI frameworks that increase transparency in predictive modeling. His research advances data-driven methods that improve decision-making, accelerate computations, and promote sustainable resource recovery in petroleum engineering.

Award

Dr. Wente Niu is nominated for the Best Researcher Award in recognition of his outstanding contributions to petroleum engineering research and the integration of artificial intelligence into reservoir engineering. His work has not only advanced academic knowledge but also delivered measurable benefits to the energy industry, particularly in collaboration with CNPC and PetroChina. His achievements demonstrate international recognition. His innovations in explainable AI, digital twin technology, and production optimization highlight his exceptional capability as a researcher and his potential to drive transformative progress in petroleum engineering.

Publication

Dr. Wente Niu has published widely in SCI/SCIE-indexed journals.

Title: Unsupervised Learning-Driven Insights into Shale Gas Reservoirs: Production Prediction and Strategic Applications
Year: 2025

Conclusion

Dr. Wente Niu exemplifies the qualities of an innovative and impactful petroleum engineering researcher. His interdisciplinary expertise bridges artificial intelligence, geoscience, and engineering, creating significant advancements in unconventional resource development. His contributions are recognized through impactful publications, patents, and collaborations with leading energy corporations. His ability to translate theoretical models into practical industry applications underscores his strength as a transformative scholar. With a proven record of research, teaching, and innovation, he stands as a strong candidate for the Best Researcher Award, capable of shaping the future of petroleum engineering through cutting-edge AI-driven approaches.

Jianchun Xu | Petroleum Engineering | Best Unconventional Resource Development Award

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Prof. Jianchun Xu | Petroleum Engineering | Best Unconventional Resource Development Award

Professor at China University of Petroleum | East China | China

Prof. Jianchun Xu is a distinguished scholar in petroleum engineering, recognized for his pioneering research in reservoir simulation, unconventional oil and gas development, and smart oilfield technologies. Serving as a professor and deputy director at the China University of Petroleum (East China), he has made significant contributions to advancing multiphase flow modeling and production optimization. His leadership in academic societies and editorial boards reflects his commitment to the global research community. With an extensive publication record, funded projects, and international collaborations, Prof. Jianchun Xu work continues to shape petroleum engineering innovations and support sustainable energy development worldwide.

Profile

Scopus

Education

Prof. Jianchun Xu holds a Ph.D. in Oil and Gas Field Development Engineering from the China University of Petroleum (East China), where he also completed his M.S. and B.S. degrees in Petroleum Engineering. He enriched his academic background as a Visiting Scholar at the University of Tulsa under the supervision of Prof. Albert C. Reynolds, focusing on advanced petroleum engineering methods. His strong academic foundation has enabled him to integrate theory with practice, develop computational models, and lead international research collaborations that push the boundaries of reservoir management, unconventional resource exploitation, and innovative subsurface technologies.

Experience

Prof. Jianchun Xu currently serves as Deputy Director of the Intelligent Oil and Gas Field Institute and Professor of Petroleum Engineering at the China University of Petroleum (East China). His leadership roles extend to supervising major national and provincial research projects, collaborating with leading oilfield companies, and contributing to international scientific forums. He has organized specialized sessions in AGU, SPE, and Inter Pore conferences, advancing computational methods and machine learning applications in porous media. His professional service includes editorial roles in leading journals, guiding students, and developing simulation software that has been applied in academic research and field development.

Research Interest

Prof. Jianchun Xu research focuses on reservoir numerical simulation, unconventional oil and gas development, smart oilfield engineering, multiphase flow in porous media, and well testing. He is deeply engaged in developing advanced computational tools and algorithms, including machine learning techniques for optimization and simulation. His studies on CO₂ storage, gas hydrate development, and enhanced oil recovery contribute to sustainable and efficient resource exploitation. By bridging theoretical modeling with practical engineering applications, Prof. Jianchun Xu advances methods to optimize production, improve predictive accuracy, and address energy transition challenges, aligning petroleum engineering research with future demands of cleaner and smarter energy systems.

Awards

Prof. Jianchun Xu has received numerous prestigious awards, reflecting his academic excellence and professional dedication. These include the INSO Award, Excellent Headteacher Awards, Contribution Awards from the School of Petroleum Engineering, and the Xinjiang Petroleum Award. He was also recognized as an Outstanding Young Talent, a member of the Shandong Taishan Scholar Program, and an urgently needed high-level talent in Qingdao. Earlier in his career, he earned national scholarships, the Wang Tao Merit Scholarship—the highest petroleum industry award for graduate students—and several first prizes in national petroleum design competitions.

Publications

Prof. Jianchun Xu has published extensively in high-impact journals.

  1. Title: A generalized adsorption model of CO2-CH4 in shale based on the improved Langmuir model
    Year: 2025
    Citation: 7

  2. Title: Carbon Storage Potential of Shale Reservoirs Based on CO2 Fracturing Technology
    Year: 2025
    Citation: 4

  3. Title: Uncertainty analysis of geomechanical responses: China’s first offshore carbon capture and storage project Year: 2025
    Citation: 3

  4. Title: Reduced-Order Modeling for Subsurface Flow Simulation in Fractured Reservoirs
    Year: 2025
    Citation: 2

  5. Title: A machine learning assisted upscaling method for the Arrhenius kinetic model, with application to the in-situ conversion process
    Year: 2025
    Citation: 1

Conclusion

Prof. Jianchun Xu stands as a leading figure in petroleum engineering, with impactful contributions across reservoir simulation, unconventional resource development, and energy transition technologies. His strong academic foundation, leadership in research projects, and active role in professional societies highlight his commitment to advancing both science and education. Recognized through awards, publications, and industry collaborations, his work bridges innovative computational methods with practical oil and gas applications. With a vision toward sustainable and intelligent energy systems, Prof. Jianchun Xu continues to drive global research excellence, making him a highly deserving candidate for distinguished award recognition.