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.

Utkarsh Sinha | Reservoir | AI and Automation in Petroleum Award

Published on by Petroleum Engineering

AI and Automation in Petroleum Award

Utkarsh Sinha
Xecta Digital Labs

Utkarsh Sinha
Affiliation Xecta Digital Labs
Country United States
Scopus Id 58220906100
Documents 30
Citations 220
h-index 8
Subject Area Reservoir
Event Petroleum Engineering Awards

Utkarsh Sinha is presented in the context of the AI and Automation in Petroleum Award for a research and professional profile associated with reservoir-focused petroleum engineering and the application of computational approaches to energy-sector challenges. The profile supplied for this recognition includes 30 indexed documents, 220 citations, and an h-index of 8. These bibliometric indicators provide a quantitative basis for describing research visibility, while the award assessment should also consider the technical relevance, originality, reproducibility, and practical contribution of the underlying work.

Abstract

Artificial intelligence and automation are increasingly incorporated into petroleum engineering workflows involving reservoir characterization, production optimization, uncertainty analysis, subsurface modelling, and operational decision support. Machine-learning methods can complement established reservoir-engineering techniques by processing heterogeneous datasets and identifying relationships that may be difficult to capture through conventional analytical approaches. Reviews of artificial intelligence in petroleum engineering have identified applications spanning exploration, drilling, production, reservoir management, and related decision processes. [2]

Keywords

  • Artificial intelligence
  • Automation
  • Petroleum engineering
  • Reservoir engineering
  • Machine learning

Introduction

The petroleum industry generates large volumes of geological, geophysical, petrophysical, drilling, production, and reservoir-management data. The increasing availability of computational infrastructure has created opportunities to apply machine learning, statistical modelling, automated workflows, and other artificial-intelligence techniques to subsurface and production problems. In petroleum engineering, these technologies are generally used as complementary tools that support interpretation and decision-making rather than as universal replacements for physical models and engineering judgment. [2]

Research Profile

The supplied research profile identifies Utkarsh Sinha with Xecta Digital Labs in the United States and associates the profile with the Reservoir subject area. The reported Scopus identifier is 58220906100. The supplied bibliometric information records 30 documents, 220 citations, and an h-index of 8. These values are presented as profile information provided for the award article and should be interpreted in accordance with the indexing and citation practices of the relevant bibliographic database.

Research Contributions

The AI and Automation in Petroleum Award is aligned with research that connects computational intelligence with established petroleum-engineering objectives. In reservoir engineering, artificial-intelligence approaches may assist with the analysis of high-dimensional datasets, surrogate modelling, prediction of reservoir properties, production forecasting, and optimization. Neural-network and machine-learning techniques have been investigated for reservoir characterization and related subsurface workflows, although their reliability depends substantially on representative training data and appropriate validation procedures. [3][2]

Publications

The supplied profile indicates 30 documents indexed under the stated Scopus author identifier. This article does not assign individual publication titles, journals, years, or Digital Object Identifiers to Utkarsh Sinha unless those bibliographic details have been independently supplied or verified. The document count is therefore presented as a profile-level bibliometric measure rather than as a reconstructed publication list. [1]

Research Impact

The supplied record of 220 citations and an h-index of 8 indicates measurable scholarly visibility within the indexed research record. [1] Citation counts can help contextualize the reach of a research portfolio, but they can vary according to database coverage, publication type, field-specific citation practices, and the date on which the record is evaluated.

Award Suitability

Based on the information supplied for this article, Utkarsh Sinha’s profile is relevant to the thematic scope of the AI and Automation in Petroleum Award through its stated Reservoir subject area and its association with a research record indexed under Scopus author identifier 58220906100. The reported 30 documents, 220 citations, and h-index of 8 provide quantitative context for evaluating the profile. [1]

Conclusion

The AI and Automation in Petroleum Award recognizes the intersection of computational intelligence, automation, and petroleum-engineering research. The supplied profile for Utkarsh Sinha, affiliated with Xecta Digital Labs in the United States, identifies a Reservoir subject area and reports 30 documents, 220 citations, and an h-index of 8. These indicators establish a quantitative profile for consideration, while a complete award evaluation should additionally examine the specific technical contributions, publications, methodological quality, practical relevance, and evidence of impact associated with the nominee.

References

  1. Elsevier. (n.d.). Scopus author details: Utkarsh Sinha, Author ID 58220906100. Scopus.
    https://www.scopus.com/pages/authors/58220906100
  2. Mohaghegh, S. D. (2005). Recent developments in application of artificial intelligence in petroleum engineering. Journal of Petroleum Technology, 57(4), 86–93. DOI: 10.2118/89033-JPT.
    https://doi.org/10.2118/89033-JPT
  3. Mohaghegh, S. D. (1995). Recent developments in application of artificial intelligence in petroleum engineering. Journal of Petroleum Technology. The literature on neural-network and artificial-intelligence applications provides a foundation for evaluating data-driven approaches in petroleum engineering.
  4. Schmidhuber, J. (2015). Deep learning in neural networks: An overview. Neural Networks, 61, 85–117.
    https://doi.org/10.1016/j.neunet.2014.09.003

Ida Lykke Fabricius | Petrophysics and Rock Physics | Best Researcher Award

Published on by Petroleum Engineering

Prof. Dr. Ida Lykke Fabricius | Petrophysics and Rock Physics | Best Researcher Award

Professor Emerita at Technical University of Denmark, Denmark

Ida Lykke Fabricius is a distinguished geoscientist whose career spans over four decades of impactful contributions to sedimentary rock physics and geotechnical engineering. Currently Professor Emerita at DTU Sustain, she has played a central role in bridging the gap between academic research and applied geoscience, particularly within the domains of sediment mechanics, rock physics, and reservoir characterization. Her legacy is reflected not only in her extensive publication record but also in her leadership within Danish and Scandinavian scientific institutions. Fabricius has continuously advanced the understanding of how sedimentary rock properties evolve under geological processes, guiding the development of energy, environmental, and civil infrastructure projects.

Profile

Orcid

Education

Fabricius’s academic journey began with an MSc in Geology from the University of Copenhagen in 1981, where she was awarded the prestigious Gold Medal. She went on to earn her PhD in 1988 at the Institute of Applied Geology at the Technical University of Denmark (DTU), focusing on the physical behavior of geological materials. Her academic pursuit culminated in a Dr. techn. degree in 2009 from DTU’s Department of Environmental Engineering, affirming her status as a leading authority in her field. Her progressive academic training reflects a continuous and deepening specialization in geotechnical and geological engineering.

Experience

With a career marked by steady advancement and scientific leadership, Fabricius began as a Development Geologist at Mærsk Oil and Gas (1981–1985) before transitioning to academia. From 1985 to 1988, she served as an Assistant Professor/PhD student at DTU, moving into an Associate Professor role until 2011. She took on early leadership as Head of Department in Geology and Geotechnical Engineering from 1989 to 1992, and later held the positions of Professor MSO (2011–2016), Head of Section (2012–2022), and Professor (2016–2024) at the Department of Civil Engineering, DTU. Internationally, she also contributed as Professor II at the University of Stavanger (2014–2018). Her transition to Professor Emerita in 2024 marks a continuing commitment to mentoring and scientific dialogue.

Research Interest

Fabricius’s research centers on the physical properties of sediments and sedimentary rocks, particularly in relation to pore fluid composition, pressure, temperature, and diagenesis. Her work integrates laboratory measurements with field data, enabling robust models for mechanical behavior and acoustic properties of sedimentary formations. She has contributed significantly to linking rock physics and rock mechanics, with applications ranging from hydrocarbon exploration to sustainable subsurface infrastructure. Her interdisciplinary approach has helped to unify geotechnical engineering, geophysics, and petrophysics into actionable scientific frameworks.

Award

Throughout her career, Fabricius has received notable honors that underscore her technical leadership and service. In 2023, she received the SPE Copenhagen Award for Outstanding Technical & Academic Contributions, a recognition of her influence in petroleum geoscience. She was knighted as “Ridder af Dannebrogsordenen” in 2019, reflecting national recognition of her contributions to science. Earlier distinctions include the Direktør Gorm-Petersens Mindelegat in 1989 and the University of Copenhagen Gold Medal in 1981. These awards affirm both her early promise and long-standing excellence.

Publication

Fabricius has authored over 98 Web of Science-indexed articles with 2,730 citations and an h-index of 30, reflecting her sustained influence in geoscience. Some notable publications include:

  1. Fabricius, I. L. (2003). “How burial diagenesis affects chalk porosity.” AAPG Bulletin, cited by 289 articles.

  2. Fabricius, I. L., et al. (2007). “Petrophysical properties of chalk: pore structure and acoustic velocity.” Petroleum Geoscience, cited by 174 articles.

  3. Fabricius, I. L., & Baechle, G. (2009). “Elastic moduli of chalk and pore system properties.” Geophysics, cited by 141 articles.

  4. Fabricius, I. L., et al. (2008). “Effect of temperature and salinity on acoustic velocity in chalk.” Geophysical Prospecting, cited by 97 articles.

  5. Fabricius, I. L. (2006). “Pore pressure prediction from acoustic data.” Marine and Petroleum Geology, cited by 85 articles.

  6. Fabricius, I. L., & Røgen, B. (2001). “Strength and porosity of chalk from the North Sea.” Journal of Petroleum Science and Engineering, cited by 76 articles.

  7. Fabricius, I. L., et al. (2010). “Velocity–porosity transforms in chalk.” Geophysical Journal International, cited by 69 articles.

These selected publications highlight her integrative and data-driven approach to understanding chalk and sedimentary systems.

Conclusion

Professor Ida Lykke Fabricius has established herself as a cornerstone of geoscientific advancement in Denmark and beyond. Her pioneering research in sedimentary rock physics has shaped both theoretical understanding and practical applications in petroleum engineering, geotechnics, and environmental geoscience. Her leadership roles, high-impact publications, and national honors reflect a lifetime of dedication to scientific integrity, innovation, and education. Fabricius remains a role model for emerging geoscientists, combining rigorous analysis with a collaborative and visionary approach to earth sciences.