Publications and outreach – DigiWells

Confpaper by: Pacis, F.J.C., Alyaev, S. , Pelfrene, G., Wiktorski, T. (2024)
Enhancing Information Retrieval in the Drilling Domain: ZeroShot Learning with Large Language Models for QuestionAnswering
Society of Petroleum Engineers

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 DecisionMaking
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

Confpaper 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

Confpaper by: Saputera, D.H., Jakobsen, M., Jahani, N., Alyaev, S. , Eikrem, K.S. , van Dongen, K.W.A. (2023)
Towards RealTime 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., TorresVerdin, C. (2023)
Enhancing the Detectability of DeepSensing 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 MultiModal 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 RealTime 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)
AIbased multimodal interpretation of logs for aheadofbit 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)
Realtime estimation of geological layers' profiles in an anisotropic environment while accounting for modelerror: 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 realtime 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)
GPUaccelerated 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 realtime ensemblebased method for updating earth model based on GAN
Journal of Computational Science

Confpaper 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)

Confpaper by: Alyaev, S. , Ambrus, A., Jahani, N., Elsheikh, A. (2022)
Sequential MultiRealization Probabilistic Interpretation of Well Logs and Geological Prediction by a DeepLearning Method
Transactions of the SPWLA 2022

Confpaper 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 MultiModal Inversion of Geophysical Logs Using Deep Learning
Earth and Space Science

Confpaper 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 modelerror assessment of deep learning proxies: An application to realtime 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 MultiRealization Probabilistic Interpretation of Well Logs and Geological Prediction by a DeepLearning 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., TorresVerdin, C. (2022)
EnsembleBased WellLog 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 multimodal 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 ensemblebased 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: 47