Dr. Denis Anikiev

Dr. Denis Anikiev

Research Scientist,
Software Developer,
Project Manager

Denis graduated from St. Petersburg State University in 2011. He participated in numerous scientific projects related to geoscience. Experienced in research, analysis and processing of real and synthetic geophysical datasets, as well as in research software development. After completing a Ph.D. on automated microseismic imaging at St. Petersburg State University in 2015 Denis joined Seismik s.r.o. (Prague, Czech Republic), focusing mostly on surface and downhole monitoring of induced microseismicity. From 2018 till 2025 Dr. Anikiev worked as a Senior Scientist at GFZ Helmholtz Centre for Geosciences where he actively contributed to the development of IGMAS+ and worked on various subsurface modelling projects. Since 2025, he was enrolled as a Senior Research Scientist at the College of Petroleum Engineering & Geosciences (CPG) at the King Fahd University of Petroleum and Minerals (KFUPM) in Dhahran, Saudi Arabia. There Denis is pioneering the Data Analytics Program, applying artificial intelligence and machine learning to geoscientific challenges, and continues working on data integration projects and developing IGMAS+.

Research interests

AI applications in geoscience, potential field modelling, subsurface data and process integration at various scales, induced seismicity, active and passive seismic imaging.

Current activities and projects

  • Guest scientist and software developer, Section 4.5 - Subsurface Process Modelling, GFZ Helmholtz Centre for Geosciences Potsdam
  • IGMAS+: Interactive Gravity and Magnetic Application System

Past projects

  • 3-D-Deutschland: a three-dimensional lithospheric-scale thermal model of Germany
  • 3D-URG: lithospheric-scale 3D structural and thermal modelling of the Upper Rhine Graben

Awards

  • 2024: Member of the organizing committee of the international workshop “Exploring the potential for interdisciplinary 3D interpretation of potential fields by IGMAS+” in Cairo, Egypt
  • 2021: Invited speaker for the Heiland Lecture Series
  • 2014: Research Grant of St. Petersburg Government
  • 2012-2015: SEG Scholarship for doctorate students
  • 2012-2014: Research Grants of the DAAD
  • 2011: MSc diploma with distinction
  • 2008: BSc diploma with distinction

Membership

  • Society of Exploration Geophysicists (SEG)
  • Society of Petroleum Engineers (SPE)
  • American Geophysical Union (AGU)
  • European Geosciences Union (EGU)
  • European Association of Geoscientists & Engineers (EAGE)

Selected publications

M. L. Gomez Dacal, M. Scheck-Wenderoth, J. I. Faleide, M. M. Abdelmalak, J. Bott, D. Anikiev (2023). Tracing the Iceland plume and North East Atlantic breakup in the lithosphere. Communications Earth & Environment.

Cite DOI

M. R. Alvers, H.-J. Götze, D. Anikiev, C. Plonka (2023). Inversion of potential fields by interactive optimization of 3D subsurface models using a spring-based space warping and evolution strategy. GEOPHYSICS.

Cite DOI

D. Anikiev, C. Birnie, U. b. Waheed, T. Alkhalifah, C. Gu, D. J. Verschuur, L. Eisner (2023). Machine learning in microseismic monitoring. Earth-Science Reviews.

Cite DOI

D. Anikiev, H.-J. Götze, C. Plonka, S. Schmidt, J. Bott, M. Scheck-Wenderoth (2023). Interactive optimisation of 3-D subsurface models using potential fields. Copernicus GmbH.

Cite DOI

D. Anikiev, H.-J. Götze, J. Bott, C. Meeßen, C. Plonka, S. Schmidt, M. Scheck-Wenderoth (2022). IGMAS+: a success story of a 3-D potential field modelling software. Copernicus GmbH.

PDF Cite DOI

D. Anikiev, U. b. Waheed, F. Staněk, D. Alexandrov, Q. Hao, N. Iqbal, L. Eisner (2022). Traveltime-based microseismic event location using artificial neural network. Frontiers in Earth Science.

Cite DOI

D. Anikiev, H.-J. Götze, J. Bott, À. Gómez-García, M. L. Gomez Dacal, C. Meeßen, C. Spooner, C. Rodriguez Piceda, C. Plonka, S. Schmidt, M. Scheck-Wenderoth (2021). Interdisciplinary data-constrained 3-D potential field modelling with IGMAS+. EGU General Assembly 2021.

PDF Cite DOI

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Interests
  • Integration of AI and ML in geoscience
  • Research software development
  • Potential field modelling
  • Integration of geoscientific observations into 3D models of the subsurface
  • Geoenergy and utilization of the subsurface
  • Active and passive seismic imaging
  • Analysis of induced seismicity
  • Simulation of coupled thermal-hydraulic-mechanical processes
Education

  • PhD in Geophysics, 2015

    St. Petersburg State University, Russia

  • MSc in Geophysics, 2011

    St. Petersburg State University, Russia

  • BSc in Physics, 2008

    St. Petersburg State University, Russia

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