Publications and outreach – DigiWells

• Lecture by: Alyaev, S. , Pacis, F.J.C., Wiktorski, T. (2024)

  Cloud-Free Question Answering from Internal Knowledge Bases: Building an AI for Drilling Applications

  DigiWells Seminar 2024

• Lecture by: Alyaev, S. , Muhammad, R.B., Cheraghi, Y., Bratvold, R.B., Srivastava, A., Tartakovsky, D.M. (2024)

  How to Explain Geology to a Robot? DISTINGUISHing Patterns for Optimal Geosteering Decisions

  DigiWells Seminar 2024

• Lecture by: Djecta, H.E., Cheraghi, Y., Muhammad, R.B., Alyaev, S. , Fossum, K. , Bratvold, R.B., Srivastava, A. (2024)

  Improvement of Reinforcement Learning Strategies of the Pluralistic Robot Validated in Competitive Geosteering

  Geosteering and Formation Evaluation Workshop by NORCE and NFES 2024

• Lecture by: Alyaev, S. , Pacis, F.J.C., Wiktorski, T. (2024)

  Domain-adapted Embeddings Model Using Contrastive Learning for Drilling Text Data

  FAIEMA 2024

• Lecture by: Alyaev, S. , Muhammad, R.B., Cheraghi, Y., Bratvold, R.B., Srivastava, A., Tartakovsky, D.M. (2024)

  Optimizing Sequential Decisions in Geosteering: Reinforcement Learning vs Human Experts in Fast-Paced Uncertain Environment

  CSSR Annual Conference 2024

• Paper by: Rammay, M.H., Alyaev, S. , Larsen, D.S., Bratvold, R.B., Saint, C. (2024)

  Strategic geosteering workflow with uncertainty quantification and deep learning: Initial test on the Goliat Field data

  Geophysics

• Conf-paper by: Saputera, D.H., Jakobsen, M., Jahani, N., Van Dongen’, K., Alyaev, S. , Eikrem, K.S. (2024)

  Inversion of Electromagnetic Induction Log in Anisotropic Media using an Adjoint Integral Equation Method

  Extraction of shallow shear wave velocities from offshore fiber-optic cables

• Conf-paper by: Muhammad, R.B., Cheraghi, Y., Alyaev, S. , Srivastava, A., Bratvold, R.B. (2024)

  Enhancing Geosteering With AI: Integrating a Decision-Making Robot Into a Cloud-Based Environment and Benchmarking Against Human Experts

  Proceedings of SPE Norway Subsurface Conference

• Conf-paper by: Pacis, F.J.C., Alyaev, S. , Pelfrene, G., Wiktorski, T. (2024)

  Enhancing Information Retrieval in the Drilling Domain: Zero-Shot Learning with Large Language Models for Question-Answering

  Society of Petroleum Engineers

• Poster by: Alyaev, S. , Ambrus, A., Jahani, N., Elsheikh, A.H. (2024)

  AI-based multi-modal interpretation and extrapolation of geophysical logs

  19th international EnKF workshop

• Lecture by: Saputera, D.H., Jakobsen, M., Jahani, N., Van Dongen’, K., Alyaev, S. , Eikrem, K.S. (2024)

  Inversion of Electromagnetic Induction Log in Anisotropic Media using an Adjoint Integral Equation Method

  85th EAGE Annual Conference & Exhibition

• Lecture by: Muhammad, R.B., Cheraghi, Y., Alyaev, S. , Srivastava, A., Bratvold, R.B. (2024)

  Enhancing Geosteering With AI: Integrating a Decision-Making Robot Into a Cloud-Based Environment and Benchmarking Against Human Experts

  SPE Norway Subsurface Conference

• Lecture by: Muhammad, R.B., Cheraghi, Y., Alyaev, S. , Srivastava, A., Bratvold, R.B., Tartakovsky, D.M. (2024)

  High-Precision Geosteering via Reinforcement Learning and Particle Filters

  Monthly Data Assimilation seminar

• Lecture by: Pacis, F.J.C., Alyaev, S. , Pelfrene, G., Wiktorski, T. (2024)

  Enhancing Information Retrieval in the Drilling Domain: Zero-Shot Learning with Large Language Models for Question-Answering

  IADC/SPE International Drilling Conference and Exhibition

• Lecture by: Alyaev, S. (2023)

  DISTINGUISH from the depth of detection to the probabilistic distance of prediction

  DigiWells Seminar

• Lecture by: Pacis, F.J.C., Alyaev, S. , Wiktorski, T. (2023)

  Demo: Chatbot for oil and gas data

  DigiWells Seminar

• Lecture by: Muhammad, R.B., Srivastava, A., Alyaev, S. , Bratvold, R.B., Tartakovsky, D.M. (2023)

  Integrating Reinforcement Learning and Particle Filter for Enhanced Geosteering Decision-Making

  DigiWells Seminar

• Lecture by: Saputera, D.H., Jakobsen, M., Alyaev, S. , Jahani, N., Eikrem, K.S. , van Dongen, K.W.A. (2023)

  3D Modeling and Inversion of Induction Logs.​ 2023 Highlights

  DigiWells Seminar

• Paper by: Saputera, D.H., Jakobsen, M., van Dongen, K.W.A., Jahani, N., Eikrem, K.S. , Alyaev, S. (2023)

  3D induction log modelling with integral equation method and domain decomposition preconditioning

  Geophysical Journal International

• Conf-paper by: Pacis, F.J.C., Wiktorski, T., Ambrus, A., Alyaev, S. (2023)

  Exploration of Strategies to Improve Continual Learning From Irregular Sequential Drilling Data

  The American Society of Mechanical Engineers (ASME)

• Paper by: Pacis, F.J.C., Ambrus, A., Alyaev, S. , Khosravanian, R., Kristiansen, T.G., Wiktorski, T. (2023)

  Improving predictive models for rate of penetration in real drilling operations through transfer learning

  Journal of Computational Science

• Conf-paper by: Saputera, D.H., Jakobsen, M., Jahani, N., Alyaev, S. , Eikrem, K.S. , van Dongen, K.W.A. (2023)

  Towards Real-Time 3D Modeling of Induction Logs Using an Integral Equation Method

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Jahani, N., Alyaev, S. , Ambia, J., Fossum, K. , Suter, E.C., Torres-Verdin, C. (2023)

  Enhancing the Detectability of Deep-Sensing Borehole Electromagnetic Instruments by Joint Inversion of Multiple Logs Within a Probabilistic Geosteering Workflow

  Petrophysics

• Lecture by: Alyaev, S. , Elsheikh, A.H., Ambrus, A., Jahani, N. (2023)

  Direct Multi-Modal Inversion of Geophysical Logs Using Deep Learning

  SIAM Conference on Mathematical & Computational Issues in the Geosciences (GS23)

• Lecture by: Pacis, F.J.C., Wiktorski, T., Ambrus, A., Alyaev, S. (2023)

  Exploration of Strategies to Improve Continual Learning From Irregular Sequential Drilling Data

  OMAE 42nd International Conference on Ocean, Offshore & Arctic Engineering

• Lecture by: Saputera, D.H., Jakobsen, M., Jahani, N., Alyaev, S. , Eikrem, K.S. , van Dongen, K.W.A. (2023)

  Towards Real-Time 3D Modeling of Induction Logs Using an Integral Equation Method

  84th EAGE Annual Conference & Exhibition

• Lecture by: Alyaev, S. , Ambrus, A., Jahani, N., Elsheikh, A.H. (2022)

  Predicting likely stratigraphy realizations from shallow logs with AI

  NFES Monthly Technical Meeting

• Lecture by: Pacis, F.J.C., Alyaev, S. , Wiktorski, T. (2022)

  Demo: Chatbot for NCS well data

  Annual DigiWells Seminar 2022

• Lecture by: Pacis, F.J.C., Wiktorski, T., Alyaev, S. , Ambrus, A., Khosravanian, R., Kristiansen, T.G. (2022)

  Exploring transfer learning for ROP prediction on the NCS

  Annual seminar SFI DigiWells

• Lecture by: Alyaev, S. , Ambrus, A., Jahani, N., Elsheikh, A.H. (2022)

  AI‐based multi‐modal prediction of stratigraphy to inform drilling performance

  Annual seminar SFI DigiWells

• Lecture by: Alyaev, S. , Jahani, N., Fossum, K. , Tveranger, J., Rammay, M.H., Larsen, D.S., Saint, C., Bratvold, R.B., Elsheikh, A.H. (2022)

  Geosteering results: It's time to understand where the bit is heading

  Annual seminar SFI DigiWells

• Poster by: Alyaev, S. (2022)

  Gamification of shallow geosteering

  Geosteering and Formation Evaluation Workshop by NORCE and NFES

• Lecture by: Cheraghi, Y., Alyaev, S. , Hong, A., Kuvaev, I., Clark, S., Zhuravlev, A., Bratvold, R.B. (2022)

  What can we learn after 10000 geosteering decisions?

  Geosteering and Formation Evaluation Workshop by NORCE and NFES

• Poster by: Ambrus, A., Alyaev, S. , Jahani, N., Elsheikh, A.H. (2022)

  AI-based multi-modal interpretation of logs for ahead-of-bit probabilistic ROP prediction

  Geosteering and Formation Evaluation Workshop by NORCE and NFES

• Lecture by: Rammay, M.H., Alyaev, S. , Bratvold, R.B., Larsen, D.S., Saint, C. (2022)

  Real-time estimation of geological layers' profiles in an anisotropic environment while accounting for model-error: A case study on the Goliat field

  Geosteering and Formation Evaluation Workshop by NORCE and NFES

• Lecture by: Fossum, K. , Alyaev, S. , Tveranger, J., Elsheikh, A.H. (2022)

  Verification of a real-time method for updating the geosteering earth model based on GAN

  Geosteering and Formation Evaluation Workshop by NORCE and NFES

• Poster by: Saputera, D.H., Jakobsen, M., Alyaev, S. , Jahani, N., Eikrem, K.S. , van Dongen, K. (2022)

  GPU-accelerated integral equation method for 3D modelling of induction logs

  Geosteering and Formation Evaluation Workshop by NORCE and NFES

• Paper by: Fossum, K. , Alyaev, S. , Tveranger, J., Elsheikh, A.H. (2022)

  Verification of a real-time ensemble-based method for updating earth model based on GAN

  Journal of Computational Science

• Conf-paper by: Ambrus, A., Alyaev, S. , Jahani, N., Pacis, F.J.C., Wiktorski, T. (2022)

  Rate of Penetration Prediction Using Quantile Regression Deep Neural Networks

  The American Society of Mechanical Engineers (ASME)

• Conf-paper by: Alyaev, S. , Ambrus, A., Jahani, N., Elsheikh, A. (2022)

  Sequential Multi-Realization Probabilistic Interpretation of Well Logs and Geological Prediction by a Deep-Learning Method

  Transactions of the SPWLA 2022

• Conf-paper by: Cheraghi, Y., Alyaev, S. , Hong, A., Kuvaev, I., Clark, S., Zhuravlev, A., Bratvold, R.B. (2022)

  What can we learn after 10,000 geosteering decisions?

  Society of Petroleum Engineers

• Paper by: Pacis, F.J.C., Alyaev, S. , Ambrus, A., Wiktorski, T. (2022)

  Transfer Learning Approach to Prediction of Rate of Penetration in Drilling

  Lecture Notes in Computer Science (LNCS)

• Paper by: Alyaev, S. , Elsheikh, A. (2022)

  Direct Multi-Modal Inversion of Geophysical Logs Using Deep Learning

  Earth and Space Science

• Conf-paper by: Rammay, M.H., Alyaev, S. (2022)

  Calibration and Prediction Improvement of Decline Curve Models While Accounting for Model Error

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Rammay, M.H., Alyaev, S. , Elsheikh, A. (2022)

  Probabilistic model-error assessment of deep learning proxies: An application to real-time inversion of borehole electromagnetic measurements

  Geophysical Journal International

• Lecture by: Pacis, F.J.C., Alyaev, S. , Ambrus, A., Wiktorski, T. (2022)

  Transfer Learning Approach to Prediction of Rate of Penetration in Drilling

  INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE (ICCS) 2022

• Lecture by: Alyaev, S. , Ambrus, A., Jahani, N., Elsheikh, A. (2022)

  Sequential Multi-Realization Probabilistic Interpretation of Well Logs and Geological Prediction by a Deep-Learning Method

  63d SPWLA Annual Symposium

• Lecture by: Ambrus, A., Alyaev, S. , Jahani, N., Pacis, F.J.C., Wiktorski, T. (2022)

  Rate of Penetration Prediction Using Quantile Regression Deep Neural Networks

  ASME 41st International Conference on Ocean, Offshore and Arctic Engineering

• Lecture by: Alyaev, S. , Ambrus, A., Jahani, N. (2022)

  Demo: Sequential prediction with noisy GR log and naïve ROP prediction

  DigiWells technical meeting

• Paper by: Jahani, N., Ambia Garrido, J., Alyaev, S. , Fossum, K. , Suter, E.C., Torres-Verdin, C. (2022)

  Ensemble-Based Well-Log Interpretation and Uncertainty Quantification for Well Geosteering

  Geophysics

• Lecture by: Alyaev, S. , Ambrus, A., Pacis, F.J.C., Jahani, N., Wiktorski, T., Elsheikh, A. (2021)

  Drilling Process Modelling with Deep Learning: Towards ROP Prediction

  DigiWells seminar

• Lecture by: Muhammad, R.B., Bratvold, R.B., Alyaev, S. (2021)

  Reinforcement learning ​for better geosteering decisions

  DigiWells seminar

• Lecture by: Alyaev, S. (2021)

  Geosteering for IOR: Results and further opportunities

  DigiWells seminar

• Lecture by: Alyaev, S. , Ambrus, A., Jahani, N., Elsheikh, A. (2021)

  Sequential probabilistic multi-modal inversion and prediction with deep learning

  DigiWells demo

• Lecture by: Alyaev, S. , Elsheikh, A., Ambrus, A., Jahani, N. (2021)

  Deep learning for probabilistic inversion during geosteering

  HPC, DEEP LEARNING, AND NUMERICS IN GEOPHYSICS

• Lecture by: Fossum, K. , Alyaev, S. , Suter, E.C., Tossi, G., Mele, M. (2021)

  Reducing 3D uncertainty by an ensemble-based geosteering workflow: an example from the Goliat field

  3rd EAGE/SPE Geosteering Workshop

• Lecture by: Alyaev, S. , Fossum, K. , Tveranger, J., Elsheikh, A. (2021)

  Using generative adversarial networks for probabilistic predictions of complex geology ahead of drilling

  Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology

• Paper by: Alyaev, S. , Tveranger, J., Fossum, K. , Elsheikh, A. (2021)

  Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network

  First Break

• Lecture by: Fossum, K. , Alyaev, S. , Tveranger, J., Elsheikh, A. (2021)

  Deep learning for prediction of complex geology ahead of drilling

  ICCS 2021: INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE

• Lecture by: Ambrus, A., Alyaev, S. , Ewald, R. (2021)

  Drilling performance predicitons with drilling efficiency uncertainty (Demo in OpenLab Drilling)

  Technical meeting

Total: 60