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Institution · eDrilling (Norway)

Most cited papers from eDrilling (Norway)

What are the most cited papers from eDrilling (Norway)?

The most cited paper from eDrilling (Norway) is "Drilling Digital Twin Success Stories the Last 10 Years" (Maryam Gholami Mayani, Morten Bo Søndergaard Svendsen, Sven Inge Oedegaard, 2018), with 60 citations. Next come "Drilling with Digital Twins" (29) and "Advanced Dynamic Training Simulator for Drilling As Well As Related Experience from Training of Drilling Teams with Focus on Realistic Downhole Feedback" (28).

Showing 50 of 53 papers. Every paper is listed.

Most cited papers, sortable by citations and release date
#Paper
1 Drilling Digital Twin Success Stories the Last 10 Years Maryam Gholami Mayani, Morten Bo Søndergaard Svendsen, Sven Inge Oedegaard Conference paper 10 Apr 2018 60
2 Drilling with Digital Twins Derek Nadhan, Maryam Gholami Mayani, Rolv Rommetveit · IADC/SPE Asia Pacific Drilling Technology Conference and Exhibition Conference paper 27 Aug 2018 29
3 Advanced Dynamic Training Simulator for Drilling As Well As Related Experience from Training of Drilling Teams with Focus on Realistic Downhole Feedback Sven Inge Ødegård, Bjørn T. Risvik, Knut Steinar Bjørkevoll et al. Conference paper 5 Mar 2013 28
4 Self-attention mechanism for dynamic multi-step ROP prediction under continuous learning structure Ye Liu, Fuqiang Zhang, Shuopeng Yang et al. · Geoenergy Science and Engineering 29 Jun 2023 25
5 Optimizing Drilling Wells and Increasing the Operation Efficiency Using Digital Twin Technology Maryam Gholami Mayani, Timur Baybolov, Rolv Rommetveit et al. · IADC/SPE International Drilling Conference and Exhibition Conference paper 19 Feb 2020 21
6 Drilling a Challenging HPHT Well Utilizing an Advanced ECD Management System with Decision Support and Real Time Simulations Rolv Rommetveit, Sven Inge Ødegård, Christine Nordstrand et al. Conference paper 2 Feb 2010 20
7 Drilling Automated Realtime Monitoring Using Digital Twin Maryam Gholami Mayani, Rolv Rommetveit, Sven Inge Oedegaard et al. Conference paper 10 Nov 2018 19
8 The Operational Benefit of Testing HPHT/MPD Procedures Using an Advanced Full Scale Drilling Simulator Harald Blikra, Giancarlo Pia, Just Sverre Wessel et al. Conference paper 4 Mar 2014 19
9 Real Time Integration of ECD, Temperature, Well Stability and Geo/Pore Pressure Simulations during Drilling a Challenging HPHT Well Rolv Rommetveit, Inge Ødegård, Christine Nordstrand et al. Conference paper 23 Mar 2010 19
10 Real-time lithology identification from drilling data with self & cross attention model and wavelet transform Jiafeng Zhang, Ye Liu, Yuheng Ma et al. · Geoenergy Science and Engineering 22 Oct 2024 16
11 Automatic Realtime Monitoring of Drilling Using Digital Twin Technologies Enhance Safety and Reduce Costs Rolv Rommetveit, Maryam Gholami Mayani, Josef Nabavi et al. Conference paper 8 Nov 2019 13
12 Advanced Real-Time Monitoring Provides Early Detection and Prevention of Costly Well Problems Maryam Gholami Mayani, Rolv Rommetveit, Stig Helgeland et al. Conference paper 25 Feb 2019 13
13 A Challenging HPHT Operation Supported by Dynamic Real Time Simulation, Forecasting and 3D Visualization Josef Nabavi, Rolv Rommetveit, Just Sverre Wessel et al. Conference paper 27 Jan 2016 13
14 Prediction of Stuck Pipe Incidents Using Models Powered by Deep Learning and Machine Learning Anwesha Mal, Sven Inge Ødegård, Stig Helgeland et al. · IADC/SPE International Drilling Conference and Exhibition Conference paper Mar 2022 12
15 Quantitative Evaluation of Imputation Methods Using Bounds Estimation of the Coefficient of Determination for Data-Driven Models with an Application to Drilling Logs Jie Cao, Andrzej T. Tunkiel, Øystein Arild et al. · SPE Journal 16 Feb 2023 10
16 Use of a Life Cycle Drilling Simulation System on a Challenging HPHT Drilling Operation in the Norwegian Sea Laurie Scott, Just Sverre Wessel, Josef Nabavi et al. · SPE/IADC Middle East Drilling Technology Conference and Exhibition Conference paper 6 Jan 2016 10
17 Drilling Parameter Optimization in Real-Time Sven Inge Oedegaard, Stig Helgeland, Maryam Gholami Mayani et al. · IADC/SPE International Drilling Conference and Exhibition Conference paper Mar 2022 8
18 Using Simulator to Prepare for Total Loss Risk Scenarios Utilizing Controlled Mud Cap Drilling in the Barents-Sea Sven Inge Oedegaard, Landon Hollman, Geir Smaaskjaer et al. Conference paper 17 Feb 2018 8
19 A Dynamic Dual Gradient Model and its Use for Training Prior to DGD Operations in Norway and GoM Morten Bo Søndergaard Svendsen, Knut Steinar Bjørkevoll, Rolv Rommetveit et al. Conference paper 13 Mar 2015 8
20 Simulation Enhancement GAN for Efficient Reservoir Simulation at Fine Scales Ye Liu, Shuopeng Yang, Nan Zhang et al. · Mathematical Geosciences 25 Mar 2024 7
21 Successful Use of Sophisticated Flow Modelling in the Planning and Operational Phase of Drilling, Liner Running and Cementing Operations: All in Managed Pressure Mode I. Barr Aas, Kristian Moum Skjerve, L. E. Haaland et al. · SPE Annual Technical Conference and Exhibition Conference paper 8 Sep 2016 7
22 Experiences from use of a Managed Pressure Drilling & ECD Management System during drilling of a challenging HPHT well Rolv Rommetveit, Sven Inge Ødegård, Christine Nordstrand et al. · SPE/IADC Managed Pressure Drilling and Underbalanced Operations Conference and Exhibition Conference paper 24 Feb 2010 7
23 Creating Resilient Drilling Operations through Collective Learning Torbjørn Korsvold, Torgeir K. Haavik, Stig Ole Johnsen et al. Conference paper 4 Aug 2009 7
24 Remediation of LWD data lag with hybrid real-time data using self-attention-based encoder-decoder model Jiafeng Zhang, Ye Liu, Jie Ming Cao et al. · Geoenergy Science and Engineering 3 Nov 2024 6
25 Applying transfer learning to address data scarcity: A case study on LWD gamma ray depth-lag remediation from Volve to another gasfield Jiafeng Zhang, Ye Liu, Jie Jane Cao · Geoenergy Science and Engineering 12 Aug 2024 6
26 Drilling Advisory Automation with Digital Twin and AI Technologies Jie Cao, Josef Nabavi, Sven Inge Oedegaard · IADC/SPE International Drilling Conference and Exhibition Conference paper 27 Feb 2024 6
27 Drilling Parameter Optimization in Real-Time Anwesha Mal, Sven Inge Oedegaard, Stig Helgeland et al. Conference paper 7 Mar 2023 6
28 Advanced Drilling Simulation and Engineering Center Provide Support for Challenging Drilling Operations in the South China Sea Hu Yong Tang, Gang Wei, Rolv Rommetveit et al. Conference paper 3 Aug 2016 6
29 How Dynamic Hydraulic and Well Control Modeling has been Utilized for Planning, Well/Rig Specific Training and RT Supervision for HPHT, MPD and DGD Operations in an Integrated Lifecycle Simulation System Rolv Rommetveit, Morten Bo Søndergaard Svendsen, Josef Nabavi et al. Conference paper 3 Aug 2016 5
30 Real-time estimation of geomechanical characteristics using drilling parameter data and LWD Ye Liu, Shuming Liu, Jiafeng Zhang et al. · Geoenergy Science and Engineering 30 Oct 2024 4
31 CCS Well Control Impact of CO2 on Drilling Fluid Performance Jan Ole Skogestad, Blandine Feneuil, Elie N'Gouamba et al. · IADC/SPE International Drilling Conference and Exhibition Conference paper 27 Feb 2024 4
32 Deep Reinforcement Learning for Well Trajectory Design with Collision Avoidance W. J. Zhu, Ye Liu, Liupeng Wang et al. · SPE Journal 21 May 2025 3
33 Documentation of Risk and Cost-reducing Potential by Utilizing an Automatic Supervision and Decision Support System During Drilling a Challenging HPHT Well Rolv Rommetveit, Sve Inge Ødegård, Christine Nordstrand et al. Conference paper Mar 2011 3
34 Integrity of Drilling Fluid As Primary Barrier for CCS Wells Elie N'Gouamba, Blandine Feneuil, Jan Ole Skogestad et al. Conference paper 9 Jun 2024 2
35 Assessing Hydrate Formation Risk in Infill CCS Wells Jan Ole Skogestad, Blandine Feneuil, Elie N'Gouamba et al. Conference paper 9 Jun 2024 2
36 Drilling Advisory for Automatic Drilling Control Kenza Lahlou, Sven Inge Oedegaard, Morten Bo Søndergaard Svendsen et al. Conference paper 3 Mar 2021 2
37 Dynamic RT Modelling and 3D Visualization of Critical Safety Parameters on Drillfloor During Drilling, Running Liners & Screens and Cementing of Challenging Offshore Wells Rolv Rommetveit, Josef Nabavi, Sven Inge Ødegård et al. · IADC/SPE International Drilling Conference and Exhibition Conference paper 19 Feb 2020 2
38 Real Time Engineering-Based Simulation Training Addresses Risk in Managed Pressure Drilling Rolv Rommetveit, Ian A. Davidson, Morten Bo Søndergaard Svendsen Conference paper 7 Mar 2017 2
39 Improving generalization in rate of penetration prediction through transfer learning across oil fields Ye Liu, Yan Li, Yuheng Ma et al. · Geoenergy Science and Engineering 25 Mar 2026 1
40 Addressing the paradox of data-driven rate of penetration prediction: Challenges and solutions Yuheng Ma, Ye Liu, Zhikun Liu et al. · Geoenergy Science and Engineering 20 Nov 2025 1
41 CO2 Hydrate Inhibition in Drilling Fluids Using Mono-Ethylene Glycol Elie N'Gouamba, Blandine Feneuil, Jan Ole Skogestad et al. Conference paper 22 Jun 2025 1
42 Optimizing Drilling Operations in Real-Time: The Role of Digital Twins in Reducing Risks and Enhancing Performance Jie Cao, Emre Gocmen, Josef Nabavi et al. Conference paper 25 Feb 2025 1
43 CO2 Well Control Scenario Prediction Using Experimentally Verified Models Jan Ole Skogestad, Bjørnar Lund, Blandine Feneuil et al. Conference paper 24 Feb 2025 1
44 A Journey Towards Safer and Faster Drilling: Real-Time Advisory With Digital Twins and AI Chunwei Gu, Tong Xu, J. Lye et al. Conference paper 9 Jun 2024 1
45 Cross-Domain Knowledge Discovery and Sharing in Digital Subsurface Based on Federated Learning Nan Zhang, Ye Liu, Jiahui Geng et al. Conference paper 11 Jun 2023 1
46 Well Control for CO2 Wells, Risk for CO2 Blowout? S.I. Ødegård Conference paper 2025 0
47 Integration of Three Digital Twins: A New Perspective on Wellbore Stability and Drilling Optimization Tron Golder Kristiansen, Josef Navabi, Sve Inge Ødegård et al. Conference paper 25 Feb 2025 0
48 Federated Learning for Drilling Data Integration: A Collaborative Framework with Application to LWD Lag Correction Ye Liu, Nan Zhang, Chunming Rong et al. Conference paper 25 Feb 2025 0
49 Development of the AI Drilling Agent: AI-Physics Hybrid Model for Accurate, Adaptive and Autonomous Decision-making Jie Cao, Ressi Bonti Muhammad, Emre Gocmen et al. Conference paper 25 Feb 2025 0
50 Real-Time Automated Drilling Optimization with Digital Twins: Enhancing Performance, Mitigating Risks, and Reducing Costs Jie Cao, Emre Gocmen, Josef Nabavi et al. Conference paper 29 Apr 2024 0

Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.