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.

Xiaojun Tang | Well logging | Best Researcher Award

Published on by Petroleum Engineering

Prof. Xiaojun Tang | Well logging | Best Researcher Award

Professor at Xi’an Jiaotong University, China

Professor Xiaojun Tang is a leading academic in the field of intelligent detection systems applied to petroleum engineering. He currently serves at Xi’an Jiaotong University within the School of Instrumentation Science and Technology, where he also directs the Institute of Intelligent Detection Technology and Systems. With an emphasis on innovation and interdisciplinary integration, his academic journey has yielded substantial contributions in well/gas logging, spectral analysis, and intelligent instrumentation systems. He is a seasoned researcher with over 60 publications, 50 patents, and numerous prestigious awards recognizing his technological contributions to petroleum engineering and instrumentation.

Profile

Scopus

Education

Professor Tang’s academic foundation was laid through rigorous scientific training, culminating in a Ph.D. with specialization in instrumentation and signal analysis applied to petroleum applications. His doctoral research sparked his career-long focus on intelligent sensor systems, spectral diagnostics, and well-logging instrumentation. This advanced academic background has informed his leadership in developing frontier technologies that intersect physics, data science, and geoscience for enhanced subsurface exploration.

Experience

Over the years, Professor Tang has accumulated extensive experience in both academia and applied research. At Xi’an Jiaotong University, he has been instrumental in building an ecosystem of innovation that integrates academic research with practical industrial applications. His role as the director of the Institute of Intelligent Detection Technology and Systems highlights his leadership in organizing large-scale collaborative projects. He has spearheaded over 50 major scientific research projects, including those under China’s National Key Scientific Instrument Program and the National Natural Science Foundation. Beyond academia, he has engaged with industry partners such as PetroChina, CNOOC, and Changqing Oilfield, translating research outcomes into actionable field solutions.

Research Interest

Professor Tang’s research interests revolve around intelligent detection technologies for petroleum engineering, particularly in well logging, gas analysis, and mud logging. A key area of his focus is the development and deployment of spectral analysis technologies, notably FTIR (Fourier-transform infrared spectroscopy), for wellhead gas diagnostics. His pioneering work in applying FTIR technology has led to novel techniques for identifying aquifers based on water vapor signatures. These contributions have significantly improved reservoir characterization in low-resistivity and low-porosity formations, addressing long-standing challenges in hydrocarbon exploration. His interests also extend to coal mine gas safety and intelligent sensor systems, underscoring a broader commitment to energy sector innovation and safety.

Award

Professor Tang’s exceptional contributions have been recognized through multiple prestigious awards. He is a recipient of the Shaanxi Science and Technology Achievement Award (Second Prize), the Liaoning Science and Technology Progress Award (First Prize), and the Innovation Award from the China Instrument Society. These accolades reflect both the originality and practical utility of his research, particularly in the development of advanced instrumentation and data-driven diagnostics for petroleum exploration. His standing as a distinguished researcher is further validated by his h-index of 16 on Scopus, underscoring the significant impact and citation of his work in the scientific community.

Publication

Professor Tang’s scholarly work has been widely disseminated in high-impact journals. His notable publications include:

  1. “FTIR-based detection of water vapor in wellhead gas for aquifer identification,” Journal of Petroleum Science and Engineering, 2021, cited by 32 articles.

  2. “Spectral analysis in well logging: Application of intelligent algorithms,” Sensors and Actuators B: Chemical, 2020, cited by 45 articles.

  3. “A new intelligent gas logging sensor system for low-permeability reservoirs,” IEEE Sensors Journal, 2019, cited by 28 articles.

  4. “Infrared spectral inversion model for mud gas analysis,” Fuel, 2022, cited by 18 articles.

  5. “Smart instrumentation in downhole monitoring: A review,” Measurement, 2018, cited by 50 articles.

  6. “Hybrid sensor fusion for coalbed methane detection,” Energy Exploration & Exploitation, 2023, cited by 10 articles.

  7. “Mathematical modeling of water vapor features in reservoir diagnostics,” Journal of Natural Gas Science and Engineering, 2021, cited by 21 articles.

These publications collectively illustrate Professor Tang’s commitment to solving complex problems through technological innovation and interdisciplinary research.

Conclusion

Professor Xiaojun Tang exemplifies excellence in petroleum engineering through his sustained contributions to intelligent detection technology. His work bridges academic insight and field application, advancing both theory and practice in subsurface diagnostics. With a strong record of leadership in high-profile research projects, extensive publications, and impactful industry collaborations, he stands out as a pioneer in applying spectral and intelligent instrumentation techniques to petroleum exploration. His achievements have not only influenced the academic community but also directly enhanced operational efficiency and safety in the field. In recognition of his contributions, Professor Tang is a highly deserving candidate for the Best Researcher Award in petroleum engineering.