Dr. Denis Anikiev

Dr. Denis Anikiev

Scientist,
Software Developer,
Project Leader

GFZ German Research Centre for Geosciences

Graduated from St. Petersburg State University in 2009. 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 joined Seismik s.r.o. (Prague, Czech Republic), focusing mostly on surface and downhole monitoring of induced microseismicity. Starting from 2018 - Senior Scientist at GFZ Potsdam.

Research interests

Potential field modelling, subsurface data and process integration at various scales, induced seismicity, active and passive seismic imaging, as well as application of machine learning and data science methods in geosciences.

Current activities and projects

  • IGMAS+: Interactive Gravity and Magnetic Application System
  • 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

Membership

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

Selected publications

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
  • 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
  • Machine learning applications in geosciences
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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