Valery Iktissanov | Reservoir Simulation and Modeling | Innovative Research Award

Published on by Petroleum Engineering

Innovative Research Award

Valery Iktissanov
Saint Petersburg Mining University, Russia

Valery Iktissanov
Affiliation Saint Petersburg Mining University
Country Russia
Scopus ID 24764821400
Documents 44
Citations 86
h-index 5
Subject Area Reservoir Simulation and Modeling
Event Petroleum Engineering Awards
ORCID 0009-0004-4295-909X

Valery Iktissanov is a researcher affiliated with Saint Petersburg Mining University in Russia. His reported scholarly profile includes work relevant to petroleum engineering, reservoir characterization, pressure-transient analysis, and the physical behavior of fluids used in subsurface applications. These areas contribute to understanding reservoir properties and evaluating the processes that influence hydrocarbon production. His research record includes publications addressing heterogeneous dolomite reservoirs, low-mobility reservoir systems, and the nonlinear behavior of polyacrylamide solutions. These topics provide a basis for considering his work in the context of the Innovative Research Award presented by the Petroleum Engineering Awards. [1][2][3]

Abstract

This article outlines Valery Iktissanov’s reported research profile and selected publications relevant to petroleum engineering. The featured studies examine permeability prediction in heterogeneous dolomite, pressure-transient analysis in low-mobility reservoirs, and the nonlinear viscous and viscoelastic properties of polyacrylamide solutions. Together, these subjects relate to reservoir evaluation, flow behavior, and the interpretation of physical processes in petroleum systems. The publication record provides a starting point for assessing the relevance of his research to innovation in the field. Bibliometric indicators are reported profile figures and may change over time. [1][2][3]

Keywords

Petroleum engineering; reservoir simulation; reservoir modeling; permeability prediction; dolomite reservoirs; pressure-transient analysis; hydraulic rock typing; polyacrylamide; flow behavior; reservoir characterization.

Introduction

Petroleum engineering relies on reliable reservoir characterization and quantitative interpretation to understand subsurface conditions. Permeability, fluid mobility, and flow-related material properties are important factors in evaluating reservoir performance. Research that investigates these variables can support the development and refinement of engineering models used in hydrocarbon exploration and production. Iktissanov’s listed publications address several of these interconnected topics, making reservoir behavior and fluid mechanics central themes of this profile. [1][2][3]

Research Profile

The supplied bibliometric information lists 44 documents, 86 citations, and an h-index of 5 for Scopus author ID 24764821400. These indicators describe aspects of publication output and citation activity, but they do not independently establish research quality or the significance of individual contributions. His stated subject area is reservoir simulation and modeling, with the selected publications also covering experimental measurements, pressure-transient interpretation, and polymer-solution behavior. [1][4]

Research Contributions

The listed work covers three complementary areas. The dolomite-reservoir study examines permeability prediction and hydraulic rock typing using centrifuge and nuclear magnetic resonance data. The pressure-transient study focuses on reservoirs characterized by a low mobility coefficient. The polymer study investigates nonlinear viscous and viscoelastic properties under loading. These research themes are relevant to interpreting rock properties, evaluating reservoir pressure responses, and understanding fluid behavior in engineering applications. Specific findings should be assessed using the original articles rather than inferred from their titles alone. [1][2][3]

Publications

  1. “Permeability Prediction and Hydraulic Rock Typing of a Heterogeneous Dolomite Reservoir Based on Centrifuge and NMR Data.” [1]
  2. “Pressure transient analysis for reservoirs with low mobility coefficient.”[2]
  3. “Description of nonlinear viscous and viscoelastic properties of polyacrylamide solution under loading.” [3]

Research Impact

The selected publications address practical and analytical questions relevant to subsurface engineering. Permeability prediction can contribute to reservoir characterization, while pressure-transient interpretation can assist in evaluating reservoir and well behavior. Investigations of polymer rheology can inform understanding of fluid systems used in industrial and petroleum-related applications. The reported citation metrics provide a quantitative snapshot of scholarly visibility; determining practical impact requires examining methods, validated findings, and subsequent use by other researchers. [1][2][3][4]

Award Suitability

The Innovative Research Award associated with the Petroleum Engineering Awards recognizes research relevant to scientific and technical development in petroleum engineering. Iktissanov’s listed work offers several areas for consideration, including reservoir-property prediction, pressure-transient analysis, and fluid-material behavior. These subjects align with important engineering challenges. A formal award decision should additionally consider the originality of the contributions, supporting evidence, publication verification, and the award committee’s evaluation criteria. This profile describes potential relevance and does not constitute confirmation of an award outcome.

Conclusion

Valery Iktissanov’s reported research profile includes publications on reservoir characterization, pressure-transient analysis, and polymer-solution properties. These subjects are relevant to petroleum engineering research and reservoir simulation and modeling. The three identified DOI-linked articles provide a verifiable starting point for further assessment of his scholarly contributions. Current bibliometric information and original publication records should be checked before making formal judgments about research impact or award eligibility.

References

  1. “Permeability Prediction and Hydraulic Rock Typing of a Heterogeneous Dolomite Reservoir Based on Centrifuge and NMR Data.” Energies (2026). DOI: 10.3390/en19173962.
    https://doi.org/10.3390/en19173962
  2. “Pressure transient analysis for reservoirs with low mobility coefficient.” Actual Problems of Oil and Gas (2025). DOI: 10.29222/ipng.2078-5712.2025.17.
    https://doi.org/10.29222/ipng.2078-5712.2025.17
  3. “Description of nonlinear viscous and viscoelastic properties of polyacrylamide solution under loading.” Actual Problems of Oil and Gas (2024). DOI: 10.29222/ipng.2078-5712.2024-15-3.art3.
    https://doi.org/10.29222/ipng.2078-5712.2024-15-3.art3
  4. Elsevier. Scopus author details, Valery Iktissanov, Author ID 24764821400. Bibliometric figures in this article reflect the supplied profile information and should be checked against the live record.
    https://www.scopus.com/authid/detail.uri?authorId=24764821400
  5. ORCID. Researcher identifier record supplied for Valery Iktissanov.
    https://orcid.org/0009-0004-4295-909X
  6. Petroleum Engineering Awards. Official event website and award information.
    https://petroleumengineering.org/

Valery Iktissanov | Reservoir Simulation and Modeling | Innovative Research Award

Published on by Petroleum Engineering

Innovative Research Award

Valery Iktissanov

Saint Petersburg Mining University, Russia

Valery Iktissanov
Affiliation Saint Petersburg Mining University
Country Russia
Scopus ID 24764821400
Documents 44
Citations 86
h-index 5
Subject Area Reservoir Simulation and Modeling
Event Petroleum Engineering Awards
ORCID 0009-0004-4295-909X

Valery Iktissanov is a researcher affiliated with Saint Petersburg Mining University, Russia, whose documented publications address reservoir characterization, pressure-transient analysis, and polymer-fluid behavior. The supplied Scopus profile reports 44 documents, 86 citations, and an h-index of 5. His research profile is associated with reservoir simulation and modeling, disciplines relevant to understanding subsurface fluid flow and petroleum-reservoir performance. Three supplied journal articles published between 2024 and 2026 illustrate these research themes. [1] [2]

Abstract

This article presents an academic profile of Valery Iktissanov, focusing on research related to petroleum engineering, reservoir simulation, and fluid-flow characterization. His supplied publication record includes studies on dolomite-reservoir permeability prediction using centrifuge and nuclear magnetic resonance data, pressure-transient analysis in low-mobility reservoirs, and the nonlinear viscous and viscoelastic properties of polyacrylamide solutions. These topics connect experimental measurements, mathematical modeling, and reservoir-engineering analysis. The profile also summarizes reported bibliometric indicators and the relevance of the documented research themes to the Innovative Research Award category. [2] [3] [4]

Keywords

Valery Iktissanov; Innovative Research Award; petroleum engineering; reservoir simulation; reservoir modeling; permeability prediction; dolomite reservoirs; pressure-transient analysis; polyacrylamide; fluid mechanics.

Introduction

Reservoir engineering relies on geological characterization, fluid-flow analysis, and mathematical models to evaluate subsurface formations. Permeability estimation, pressure-response interpretation, and polymer-fluid rheology provide complementary information for understanding reservoir behavior. The three supplied publications indicate research engagement with these connected technical areas. [2] [3] [4]

Research Profile

The supplied bibliometric information identifies 44 documents, 86 citations, and an h-index of 5. These indicators describe indexed scholarly output and citation activity but do not independently establish research quality or practical impact. The Scopus author profile and ORCID identifier provide resources for checking author identity and associated scholarly records. [1] [5]

Research Contributions

The supplied publications represent three complementary research directions:

  • Pressure-transient analysis for reservoirs characterized by low mobility coefficients.
  • Rheological characterization of polyacrylamide solutions, including nonlinear viscous and viscoelastic behavior under loading.

Together, these topics address measurement, interpretation, and modeling challenges relevant to subsurface flow systems. [2] [3] [4]

Publications

  1. “Permeability Prediction and Hydraulic Rock Typing of a Heterogeneous Dolomite Reservoir Based on Centrifuge and NMR Data.” [2]
  2. “Pressure transient analysis for reservoirs with low mobility coefficient.”[3]
  3. “Description of nonlinear viscous and viscoelastic properties of polyacrylamide solution under loading.”[4]

Research Impact

The reported citation metrics provide a quantitative snapshot of the researcher’s indexed scholarly activity. The publication topics also demonstrate relevance to reservoir characterization, formation evaluation, and fluid-property modeling. Further assessment of technical impact would require examination of the full papers, validation of their findings, and evidence of subsequent research or engineering application.

Award Suitability

The documented publications provide a basis for presenting Iktissanov’s work in connection with the Innovative Research Award at the Petroleum Engineering Awards. The studies address technical problems involving reservoir heterogeneity, pressure behavior, and complex-fluid properties. Formal award eligibility or selection, however, must be established by the event organizers under their published assessment criteria.

Conclusion

Valery Iktissanov’s supplied research profile connects reservoir simulation and modeling with permeability estimation, pressure-transient interpretation, and polymer-fluid rheology. His listed publications offer concrete starting points for evaluating these research directions. The associated Scopus and ORCID records support further bibliographic verification.

References

  1. Elsevier. (n.d.). Scopus author details: Valery Iktissanov, Author ID 24764821400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=24764821400
  2. “Permeability Prediction and Hydraulic Rock Typing of a Heterogeneous Dolomite Reservoir Based on Centrifuge and NMR Data.” (2026). Energies.
    https://doi.org/10.3390/en19173962
  3. “Pressure transient analysis for reservoirs with low mobility coefficient.” (2025). Actual Problems of Oil and Gas.
    https://doi.org/10.29222/ipng.2078-5712.2025.17
  4. “Description of nonlinear viscous and viscoelastic properties of polyacrylamide solution under loading.” (2024). Actual Problems of Oil and Gas.
    https://doi.org/10.29222/ipng.2078-5712.2024-15-3.art3
  5. ORCID. (n.d.). Valery Iktissanov researcher identifier: 0009-0004-4295-909X. ORCID provides persistent digital identifiers for researchers.
    https://orcid.org/0009-0004-4295-909X

Editorial note: Bibliometric values and affiliation details are based on the information supplied for this article. Publication titles and DOI links are reproduced from the supplied records. Award eligibility and recognition status should be confirmed with the event organizers.

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

Published on by Petroleum Engineering

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.

Jinyou Dai | Oil and gas field Development and Geology | Best Researcher Award

Published on by Petroleum Engineering

Assoc. Prof. Dr. Jinyou Dai | Oil and gas field Development and Geology | Best Researcher Award

Associate Professor at China University of Petroleum, Beijing, China

Dr. Jinyou Dai is an accomplished Associate Professor at the School of Petroleum Engineering, China University of Petroleum (Beijing), with over two decades of academic and research experience in petroleum engineering and reservoir geology. He has contributed significantly to the understanding and advancement of enhanced oil recovery (EOR), tight gas reservoir development, and pore-scale modeling. His combined academic rigor and applied research efforts have made notable impacts in both academia and industry.

Profile

Scopus

Education

Dr. Dai earned his Bachelor’s degree in Petroleum and Natural Gas Geological Exploration from China University of Petroleum (East China) in 1997. He pursued a Master’s in Mineral Survey and Exploration at China University of Petroleum (Beijing), graduating in 2000, and completed his Ph.D. in Geological Resources and Geological Engineering in 2003 from the same institution. He subsequently conducted postdoctoral research at China University of Petroleum (Beijing) from 2003 to 2005.

Experience

Following his postdoctoral fellowship, Dr. Dai began his academic career as a Lecturer in 2005 and became an Associate Researcher in 2008 at China University of Petroleum (Beijing). In 2021, he was promoted to Associate Professor. His work encompasses both academic teaching and leading-edge research. He has led or participated in several state and industry-funded research projects, collaborating with leading oilfield companies including Changqing and Daqing Oilfields, focusing on reservoir characterization, production optimization, and enhanced oil recovery.

Research Interest

Dr. Dai’s primary research interests include tight sandstone reservoir development, EOR mechanisms, polymer-water flow in porous media, and pore-throat structure simulation using advanced modeling techniques. He integrates theoretical approaches with field data to optimize oil and gas recovery, and has made key contributions to understanding capillary pressure behavior, recovery factor evaluation, and multi-phase flow characteristics in complex reservoirs.

Award

Dr. Dai has received multiple prestigious recognitions for his scientific contributions. Notably, he was a co-recipient of the First-Class Provincial Award for Invention in 2023 from the China Petroleum and Chemical Automation Application Association, honoring his innovations in efficient development of large tight sandstone gas fields. In 2007, he also received the Second-Class Science and Technology Progress Award from the Ministry of Education for his contributions to complex gas reservoir development theory and applications.

Publication

Dr. Dai has authored numerous impactful publications, including:

(1) Research on the integrated calculation method of current recovery and limited recovery in tight sandstone gas reservoirs, Frontiers in Earth Science, 2024 — cited for its novel recovery modeling approach.
(2) Study on Applicability of Ball-and-Stick Model in Reservoir Pore-Throat Network Simulation, Processes, 2025 — foundational for pore-throat network modeling.
(3) 常规压汞-恒速压汞联合曲线构型模式及其指示意义, 新疆石油地质, 2024 — explored capillary pressure curves and their implications.
(4) Distribution regularity and formation mechanism of gas and water in the western area of Sulige gas field, Petroleum Exploration and Development, 2012 — a detailed study of gas-water distribution mechanisms.
(5) 鄂尔多斯盆地延长组绿泥石膜的形成机制, Journal of China University of Petroleum (Natural Science Edition), 2016 — on the formation mechanisms of chlorite films.

These works have been cited in studies related to pore-scale modeling, reservoir simulation, and EOR strategies, illustrating their academic and practical value.

Conclusion

Dr. Jinyou Dai represents a rare blend of academic excellence and applied industry relevance. Through his pioneering research, extensive publication record, and innovative technologies, he continues to influence petroleum engineering practices both within China and internationally. His commitment to advancing reservoir engineering theory and his role in transforming field operations through scientific insight make him a highly deserving candidate for this award.