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Digitalisation research publications

Shell is built on 125 years of technological innovation. Our grasp of computational technology helped us to lead the way in technological developments in exploration in the 1960s, 70s and 80s. This expertise in mathematics and computing is what gives us such a strong advantage today in developing and adopting digital technology.

Artificial Intelligence

2024

Deep Reinforcement Learning applied to Wake Steering


Carlos Ros Perez, Ankit Tyagi, Abhineet Gupta, Jasper Kreeft, Christian Michler, 10th International Conference on Mechatronics and Robotics Engineering (ICMRE) (2024)

BECLR: Batch Enhanced Contrastive Few-Shot Learning


Stylianos Poulakakis-Daktylidis, Hadi Jamali-Rad, International Conference on Learning Representations (ICLR), Spotlight. (2024)

Less-Intrusive Consistent Discretization Methods for Reservoir Simulation on Cut-cell Grids – Algorithms, Implementation, and Testing


Faruk O. Alpak, M. Jammoul, Mary F. Wheeler, K. Onyeagoro, Journal of Computational Geosciences (2024)

Fourier Neural Operator based surrogates for CO2 storage in realistic geologies
Anirban Chandra, Marius Koch, Suraj Pawar, Aniruddha Panda, Kamyar Azizzadenesheli, Jeroen Snippe, Faruk O. Alpak, Farah Hariri, Clement Etienam, Pandu Devarakota, Anima Anandkumar, Detlef Hohl, ICML 2024 AI for Science Workshop (2024)

A Comparative Analysis of the Prediction of Gas Condensate Dew Point Pressure Using Advanced Machine Learning Algorithms


T, Lertliangchai, B. Dindoruk, L. Lu, X. Yang, U. Sinha, Fuels (2024)

2023

Transformers for Site Assessment for Carbon Capture and Sequestration using Legacy Well Data


S. Sue, Z Dong, J. Chen, L. Lu, M. Sidahmed, I. Folmar, Y. Mathur,, Third EAGE Digitalization Conference and Exhibition (2023)

A Bayesian Active Learning Method for CFD-based Pipeline Corrosion Modeling


S. Zhang, L. Lu, H. Yang, K. Tsai, M. Sidahmed, SPE Annual Technical Conference and Exhibition, Oct. 2022 (2023)

SaltCrawler: AI solution for accelerating velocity model building


Engin Alkan, Yihua Cai, Pandu Devarakota, Apurva Gala, John Kimbro, Dean Knott, Gislain Madiba, Jeff Moore, SEG Technical Program Expanded Abstracts : 1684-1688, 2022 (2023)

Deep learning to maximize the value of fast-track 4D seismic processing.


Arnab Dhara, Haron Abdel-Raziq, Denis Kiyashchenko, Asiya Kudarova, Janaki Vamaraju, Albena Mateeva, Pandu Devarakota, Kanglin Wang, Jorge Lopez, , SEG Technical Program Expanded Abstracts : 1664-1668, 2022 (2023)

Applying Survival Analysis to Sand Failure Control Risk


Huihui Yang, Andrew Tallin, Ligang Lu, Xiaohiu Xiao, Lisa Valteau, Jia Wei, Jay Chen, Paper presented at the SPE Annual Technical Conference and Exhibition, Houston, Texas, USA, October 2022 (2023)

Transductive Decoupled Variational Inference for Few-Shot Classification


Anuj Singh, Hadi Jamali-Rad, Transactions on Machine Learning Research (TMLR), 2023. (2023)

Content-based image retrieval for industrial material images with deep learning and encoded physical properties


Myung Seok Shim, Christopher Thiele, Jeremy Vila, Nishank Saxena Detlef Hohl, Data-Centric Engineering, 4, E21 (2023)

Augmenting Deep Residual Surrogates with Fourier Neural Operators for Rapid Two-Phase Flow and Transport Simulations


Faruk O. Alpak, Janaki Vamaraju, James W. Jennings, Suraj Pawar, Pandu Devarakota, Detlef Hohl, SPE Journal 2023 (2023)

Domain-adapted Learning and Interpretability: DRL for Gas Trading


Raymond Wang, Yinsen Miao, Alexander Wong, Nikita Granger, Christian Michler, ACM conference, KDD Workshop on Machine Learning in Finance 2023 (2023)

Domain-adapted Learning and Interpretability: DRL for Power Arbitrage


Raymond Wang, Vignesh Raja Swaminathan, Nikita Granger, Carlos Ros Perez, Christian Michler, ACM conference, KDD Workshop on Machine Learning in Finance 2023 (2023)

Tackling Renewable Energy Intermittency in Hydrogen-Based Solar Energy System Control Using Deep Reinforcement Learning


Luiz F. G. dos Santos, Tianxia Zhao, Fu Xiao, Iosif Pappas, C. Doga Demirhan, Christian Michler, Meng Ling, Hao Gao, 2023 IEEE Green Energy and Smart Systems Conference (IGESSC 2023) (2023)

Machine Learning Based Prediction of Pressure Drop, Liquid-Holdup and Flow Pattern in Multiphase Flows


Ankit Tyagi, Abhineet Gupta, 84th EAGE Annual Conference & Exhibition, Vienna, Austria (2023)

Self-Attention Message Passing for Contrastive Few-Shot Learning (PDF)


Ojas Shirekar, Anuj Singh, Hadi Jamali-Rad, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023 (Finalist for the Best Paper Award ~top 1%) (2023)

LAB: Learnable Activation Binarizer for Binary Neural Networks (PDF)


Sieger Falkena, Hadi Jamali-Rad, Jan van Gemert, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023 (2023)

2022

A Comparative Analysis of the Prediction of Gas Condensate Dew Point Pressure Using Advanced Machine Learning Algorithm


T. Lertliangchai, B. Dindoruk, L. Lu; X. Yang, Journal of Natural Gas Science and Engineering (2022)

A Hybrid Physics and Active Learning Model for CFD-based Pipeline CO₂ And O₂ Corrosion Prediction


H. Yang, L. Lu, K. Tsai, M. Sidahmed, International Petroleum Technology Conference, Oct. 2022. (2022)

Machine Learning in Automating Carbon Storage Site Assessment


Z Dong, J. Chen, L. Lu, M. Sidahmed, I. Folmar, P. Seth, M.D. Sarfare, I. Akil, Published at ADIPEC, Oct. 2022. (2022)

Applying Survival analysis to Sand Control Failure Risk


H. Yang, A. Tallin, L. Lu, X. Xiao, L. Valteau, Published at SPE ATCE, Oct. 2022. (2022)

A Hybrid Physics and Active Learning Model For CFD-based Pipeline CO₂ And O₂ Corrosion Prediction


S. Zhang, L. Lu, H. Yang, K. Tsai, M. Sidahmed, International Petroleum Technology Conference (2022)

Self-Attention Message Passing for Contrastive Few-Shot Learning (PDF)


Ojas Shirekar, Anuj Singh, Hadi Jamali-Rad, accepted to appear in WACV 2023 (2022)

Learnable Activation Binarizer for Binary Neural Networks (PDF)


Sieger Falkena, Hadi Jamali-Rad, Jan van Gemert, accepted to appear in WACV 2023 (2022)

SaltCrawler: AI solution for accelerating velocity model building


Engin Alkan, Yihua Cai, Pandu Devarakota, Apurva Gala, John Kimbro, Dean Knott, Gislain Madiba, Jeff Moore, SEG Technical Program Expanded Abstracts : 1684-1688, 2022 (2022)

Deep learning to maximize the value of fast-track 4D seismic processing.


Arnab Dhara, Haron Abdel-Raziq, Denis Kiyashchenko, Asiya Kudarova, Janaki Vamaraju, Albena Mateeva, Pandu Devarakota, Kanglin Wang, Jorge Lopez, SEG Technical Program Expanded Abstracts : 1664-1668, 2022 (2022)

Deep learning in salt interpretation from R&D to deployment: Challenges and lessons learned.


Pandu Devarakota, Apurva Gala, Zhenggang Li, Engin Alkan, Yihua Cai, John Kimbro, Dean Knott, Jeff Moore, Gislain Madiba, SEG Technical Program Expanded Abstracts : 2989-2993, 2022 (2022)

Physics-directed unsupervised machine learning: Quantifying uncertainty in seismic inversion


Sagar Singh, Yu Zhang, David Thanoon, Pandu Devarakota, Long Jin, Ilya Tsvankin, SEG Technical Program Expanded Abstracts : 1735-1739, 2022 (2022)

Applying Survival Analysis to Sand Failure Control Risk


Huihui Yang, Andrew Tallin, Ligang Lu, Xiaohiu Xiao, Lisa Valteau, Jia Wei, Jay Chen, Paper presented at the SPE Annual Technical Conference and Exhibition, Houston, Texas, USA, October 2022 (2022)

Full Stack Machine Learning Development Framework for Energy Industry Applications


Jay Chen, Changqing Yao, Pandu Devarakota, Mohamed Sidahmed, Zexuan Dong, Sai Kanuparthi, Jia Wei, SPE ADIPEC October 2022 (2022)

Self-Supervised Class-Cognizant Few-Shot Classification


Ojas Shirekar, Hadi Jamali-Rad, IEEE International Conference on Image Processing (ICIP), 2022, pp. 976-980 (2022)

Federated Learning with Taskonomy for Non-IID Data and Supplementary content


Hadi Jamali-Rad, Mohammad Abdizadeh, Anuj Singh, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 (2022)

Machine Learning in Automating Carbon Storage Site Assessment


Z Dong, J. Chen, L. Lu, M. Sidahmed, I. Folmar, P. Seth, M.D. Sarfare, I. Akil, SPE-210824-MS October ADIPEC2022 (2022)

Deep learning in salt interpretation from R&D to deployment: Challenges and lessons learned.


Pandu Devarakota, Apurva Gala, Zhenggang Li, Engin Alkan, Yihua Cai, John Kimbro, Dean Knott, Jeff Moore, and Gislain Madiba, SEG Workshop on Application of ML and AI in Geophysics, 2022 (2022)

A Hybrid Physics and Active Learning Model For CFD-based Pipeline CO₂ And O₂ Corrosion Prediction


S. Zhang, L. Lu (Y), H. Yang (Y), K. Tsai, M. Sidahmed (Y), SPE-210061-MS accepted by SPE ATCE 2022; (2022)

2021

Deep Dive into Shell’s Edge AI Solution Using Azure AI & VA w/ NVIDIA Deep Stream


Siva Chamarti, José M. González-Martínez, Dennis Vallinga, Gabrielle Davelaar, Alvin Clark, Microsoft Ignite Conference, November 2021. (oral presentations in international conferences) (2021)

A Comparative Analysis of Dew Point Pressure Prediction Using Advanced Machine Learning Algorithms and Classical Correlations


T. Lertliangchai, B. Dindoruk, L. Lu, X. Yang, SPE ATCE, Oct. 2021 (2021)

Application of Machine Learning Methods to Well Completion Optimization: Problems with Groups of Interactive Inputs


P. Zhou, L. Lu, H. Sang, B. Dindoruk, SPE ACTE, Oct. 2021 (2021)

Machine Learning Method for Problems with Groups of Interactive Inputs – with Application to Well Completion Optimization


Jay Chen, Ligang Lu, Mohamed Sidahmed, Taixu Bai, Ilyana Folmar, Puneet Seth, Manoj Sarfare, Duane Mikulencak, Ihab Akil , NeurIPS 2021 Workshop on Tackling Climate Change with Machine Learning, 2021 (2021)

3D Seismic Facies Classification using Distributed Deep Learning


Sergio Botelho, Vishal Das, Pandu Devarakota, Vinay Rao, Santi Adavani, Rice Oil and Gas High Performance Computing Conference, March 2021 (2021)

Deep Learning Techniques Revolutionize E&P – two practical applic


Chayawan Jaikla, Engin Alkan, Christian Sutton, Yihua Cai, Siva Mannava, Apurva Gala, Pandu Devarakota, Dean Knott, Leon Chernis, Haroon Badat, Gislain Madiba, David Segonds, Detlef Hohl, First EAGE Workshop on Optimizing Project Turnaround Performance, 23-24 February, 2021 (2021)

AUTOMATCH: A fully automated adaptive subtraction driven by artificial intelligence


Jingbo Liu, Pandu Devarakota, Christian Sutton; Shuzhen Ye, Paul Webster, SEG AAPG (IMAGE) 2021 (2021)

Deep Seismic2Well Tie: A physics-guided CNN approach to a classic geophysical workflow


David Thanoon, Janaki Vamaraju, Huihui Yang, Katy Wei, Antoine Vial Aussavy, and Jie Chen, SEG AAPG (IMAGE) 2021 (2021)

A Robust End to end method for parametric curve tracing via Soft Cosine-similarly-based Objective Function


Boran Han, Jeremy Vila, Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021 (2021)

Lookahead adversarial learning for near real-time semantic segmentation


H. Jamali-Rad and A. Szabó, Computer Vision and Image Understanding (CVIU), Elsevier, 2021 (2021)

2020

Acceleration of CFD Based Corrosion Models Using Machine Learning Algorithms


Kuochen Tsai, Huihui Yang and Ligang Lu, 2020 AIChE annual meeting, No. 67a (2020)

Machine Learning based predictive models for CO₂ Corrosion in pipelines with various bending angles


Huihui Yang, Ligang Lu and Kuochen Tsai, SPE annual technical conference and exhibition, Paper No. SPE-201275-MS. Oct 19, 2020 (2020)

Machine Learning Method to Determine Salt Structures from Gravity Data


J Chen, C Schiek-Stewart, L Lu, S Witte, K Eres Guardia, F Menapace, P Devarakota, M Sidahmed, SPE Annual Technical Conference and Exhibition, Houston, October 2020 (2020)

Reconstruction of missing seismic data using a deep learning-based approach


Chayawan Jaikla, Pandu Devarakota, Engin Alkan, Christian Sutton, RICE Ken Kenndy Institute Data Science Conference, October, 2020 (2020)

A comparative analysis of bubble point pressure prediction using advanced machine learning algorithms and classical correlations.


X. Yang, B. Dindoruk, L. Lu, Journal of Petroleum Science and Engineering, Vol 185, Feb. 2020 (2020)

2019

A Machine-Learning Methodology Using Domain-Knowledge Constraints for Well-Data Integration and Well-Production Prediction


J. Guevara, B. Zadrozny, A. Buoro, L. Lu, J. Tolle, J. Limbeck, D. Hohl, PE Reservoir Evaluation & Engineering: Reservoir Engineering, Vol. 22. Issue 04, (2019)

Computational Science

2024

Simultaneous determination of relative permeability and capillary pressure from an unsteady-state core flooding experiment?


Steffen Berg, Harm Dijk, Evren Unsal, Ronny Hofmann, Bochao Zhao, Vishal Raju Ahuja, Computers and Geotechnics Volume 168, April 2024, 106091 (2024)

Decarbonizing Steam-Methane Reforming: Enhancing Activity through Joule Heating of a Ni/ZrO2-Coated FeCrAl Coil


Elmer B. Ledesma, Meghana Idamakanti, Prof. Dr. Praveen Bollini, Prof. Dr. Michael P. Harold, Dr. Ram R. Ratnakar, ChemCatChem, The European Society Journal for Catalysis (2024)

Electrified Catalysts for Endothermic Chemical Processes: Materials Needs, Advances, and Challenges


Meghana Idamakanti, Elmer B. Ledesma, Ram R. Ratanakar, Michael P.Harold, Vemuri Balakotaiah, Praveen Bollini, Published as part of ACS Engineering Au virtual special issue “Sustainable Energy and Decarbonization”. (2024)

Sensitivity analysis of hydrogen production by methane reforming using electrified wire reactors


Ram R.Ratanakar, Vemuri Balakotaiah, International Journal of Hydrogen Energy Volume 49, Part A, 2 January 2024, Pages 916-926 (2024)

Lithium loss, resistance growth, electrode expansion, gas evolution, and Li plating: Analyzing performance and failure of commercial large-format NMC-Gr lithium-ion pouch cells


Paul Gasper, Nathaniel Sunderlin, Nathan Dunlap, Patrick Walker, Donal P.Finegan, Kandler Smith, Foram Thakkar, Journal of Power Sources Volume 604, 1 June 2024, 234494 (2024)

A Systematic DFT Study of Structure and Electronic Properties of Titanium Dioxide


Asma Marzouk , Konstantinos D. Papavasileiou, Loukas D. Peristeras, Leendert Bezemer, Alexander P. van Bavel, Prathamesh M. Shenai and Ioannis G. Economou, Journal of Computational Chemistry (2024)

Monodentate-phosphinoamine Nickel complex supported on Metal-Organic Framework for high performance ethylene dimerization


Wenmiao Chen, Palani Elumalai, Hind Mamlouk, Angel Renteria-Gomez, Yemapally Veeranna, Sharan Shetty, Dharmesh Kumar, Mamoun Al-Rawashdeh, Somil S Gupta, Osvaldo Gutierrez, Hong-Chai Zhou, Sherzod Madrahimov, Advanced Science (2024)

Unravelling the effect of molecular interactions on macroscale properties in Sustainion anion exchange membrane (AEM) under hydrated conditions using MD simulations


Tamaghna Chakraborti, Riya Sharma, Anand Narayan Krishnamoorthy, Harshal Chaudhari, Kuldeep Mamtani, Jayant K. Singh, Journal of Membrane Science (2024)

High-Resolution Tilted-TI Anisotropic Visco-Elastic Full Waveform Inversion: an Application on Mero, Offshore Brazil, OBN Seismic Data


A Soni, P Audhkhasi, R Plessix, L Fu, C Scotellaro, J Guha, F Ernst, G Kumar, S Gerritsen, EAGE conference (2024)

High-resolution impedance estimation using multi-parameter visco-elastic FWI in a Gulf of Mexico setting (PDF)


Adriano Gomes Dos Santos, Daniel Rocha, Mandy Wong, Colin Perkins, Vanessa Goh, Rene Eduard Plessix, IMAGE (2024)

A novel electric reactor concept for methane to acetylene conversion (PDF)


Shauvik De, Alexander P. van Bavel, René Bos, ISCRE 28 (2024)

Adaptive Data-driven Modelling and Forecasting of Effluent Treatment Plants


Rihab Abdul Razak, Arvind Ravi, Resmi Suresh, Koen De Leeuw, Jose M. Gonzalez Martinez, 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering, Computer-Aided Chemical Engineering, Volume 53: Computer-aided Chemical Engineering, 53:3151-3156 (2024)

Second-generation Biorefinery Location Selection in Europe Using Satellite Data and Crop Calendars


Varun Punnathanam, Raunak Bardia, Shirish Potu, Nicole Elliott, Jose M. Gonzalez Martinez, 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering, Computer-Aided Chemical Engineering, 53: 2617-2622 (2024)

Thermodynamic and Condensation Rate Modeling in Abandoned Wells: Assessing Potential Corrosion Risks in CCS Applications


S. S. Gupta, S. Rai, R. R. Ratnakar, SPE J. 1–11. (2024)

A comparative study of the impact of the CO2 properties on the thermal output of a geothermal well


Ram R. Ratnakar, Birol Dindoruk, Silviu Livescu, Sandarbh Gautam , Geoenergy Science and Engineering Volume 243, December 2024, 213321 (2024)

Decarbonizing hydrogen supply chain via electrifying endothermic processes


R. R. Ratnakar , Chemical Engineering Science Volume 299, 5 November 2024, 120439 (2024)

Experimental Investigation of Amine Regeneration for Carbon Capture through CO2 Mineralization


Cynthia Oeiyono, Ram R Ratnakar, Kishore Mohanty, SPE J. 29 (10): 5702–5716. Paper Number: SPE-223085-PA (2024)

Multi-scale reduced-order models of electrified wire reactors for carrying-out endothermic reactions


Ram R. Ratnakar, Vemuri Balakotaiah , Chemical Engineering Science Volume 295, 5 August 2024, 120130 (2024)

Top-Of-Line Corrosion in Legacy and Abandoned Wells for CCS Applications


S. S. Gupta, R. Puthenkalathil, R. R. Ratnakar, Paper presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, USA, September 2024. Paper Number: SPE-220926-MS (2024)

Physics Augmented Machine Learning Models for Determining Gas Solubility in Formation Brines for CCS and Gas Processing Applications


R. R. Ratnakar, V. Chaubey, S. S. Gupta, J. Hackbarth, Z. Rui, B. Dindoruk, Paper presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, USA, September 2024. Paper Number: SPE-220752-MS (2024)

Assessment of Geothermal and Hydrocarbon Wells Using Supercritical Fluids for Heat Production


R. R. Ratnakar, S. S. Gupta, J. Hackbarth, S. Livescu, B. Dindoruk, Paper presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, USA, September 2024. Paper Number: SPE-220844-MS (2024)

Sonic Velocity Based Experimental and Modeling Approach to Determine Fluid Properties of Greenhouse Gases and Mixtures


R. R. Ratnakar, J. Hackbarth, B. Bhaskar, B. Dindoruk, Paper presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, USA, September 2024. Paper Number: SPE-221075-MS (2024)

Energy-Efficient Amine Regeneration for Absorption-Based Carbon Capture: Kinetic Studies for CO2 Mineralization


C. V. Oeiyono, R. Ratnakar, K. K. Mohanty, Paper presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, USA, September 2024. Paper Number: SPE-220246-MS (2024)

Semi-Hybrid Models for Determining Gas Solubility in Brines with Salt Mixtures: Application to CCS and Gas Processing


R. R. Ratnakar, V. Chaubey, S. Gupta, Z. Rui, B. Dindoruk, Paper presented at the SPE Energy Transition Symposium, Houston, Texas, USA, August 2024. Paper Number: SPE-221409-MS (2024)

Estimation of Compressibility and Other Thermodynamic Derivative Properties of CO2 Using Sonic Velocity for CCS and Enhanced Geothermal Applications


R. R. Ratnakar, Paper presented at the SPE Energy Transition Symposium, Houston, Texas, USA, August 2024. Paper Number: SPE-221413-MS (2024)

Measurement of Diffusivity of Supercritical CO2 in Formation Brines at Reservoir Conditions for CCS Applications


Sherry Oyagha, Ram R. Ratnakar, B. Dindoruk, Paper presented at the SPE Energy Transition Symposium, Houston, Texas, USA, August 2024. Paper Number: SPE-221402-MS (2024)

2023

Plant-wide Leak Detection for Targeted Maintenance in LNG plants


S. Varghese, A. Ravi, R. A. Razak, S. Nanda, J.M. Gonzalez -Martinez, Oral Presentation at 2023 Indo-German Conference on Computational Mathematics on March 27, Bangalore, India. (2023)

Effective thermal conductivity of insulation materials for cryogenic LH2 storage tanks: A review.


Balakotaiah, V. and Ratnakar, R, International Journal of Hydrogen Energy. 2023 Mar 08; 48(21), 7770-93 (2023)

A novel approach for computing washcoat diffusional effects in reduced order models of monolith reactors


Ratnakar RR, Tu M, Balakotaiah V, Chemical Engineering Science. 2023 Mar 15;268:118233. (2023)

Applied Linear Analysis for Chemical Engineers. A Multi-scale Approach with Mathematica


Balakotaiah, V. and Ratnakar, R, Walter de Gruyter, De Gruyter Textbook series (2023)

The Impact of Trisodium Phosphate on Chloride-Driven Under Deposit Corrosion in Steam Generators


M. Sliem, N. Laycock, A. Hefny, P. Shenai, A. M. Abdullah, S. Pedrazzini, M.P. Ryan, CORROSION: The Journal of Science & Engineering (2023)

Degradation and modeling of large-format commercial lithium-ion cells as a function of chemistry, design, and aging conditions


Paul Gasper, Aron Saxon, Ying Shi, Elizabeth Endler, Kandler Smith, Foram M. Thakkar, Journal of Energy Storage (2023)

Potential energy surface prediction of Alumina polymorphs using graph neural network


Soumya Sanyal, Arun Kumar Sagotra, Narendra Kumar, Sharad Rathi, MohanaKrishna, Nagesh Somayajula, Duraivelan Palanisamy, Ram R. Ratnakar, Suchismita Sanyal, Partha Talukdar, Umesh Waghmare, Janakiraman Balachandran, arXiv (2023)

2022

Influence of chain length on structural properties of carbon molecular sieving membranes and their effects on CO2, CH4 and N2 adsorption: A molecular simulation study


Subhadeep Dasgupta , Rajasekaran M, Projesh K. Roy , Foram M. Thakkar, Amar Deep Pathak , K. Ganapathy Ayappa , Prabal K. Maiti , Journal of Membrane Science 664 (2022): 121044 (2022)

Ignition–extinction analysis of catalytic reactor models. Reviews in Chemical Engineering


Balakotaiah V, Sun Z, Ratnakar R, Reviews in Chemical Engineering. 2022 Oct 26;38(7):737-68 (2022)

Influence of chain length on structural properties of carbon molecular sieving membranes and their effects on CO 2, CH 4 and N2 adsorption: A molecular simulation study


Dasgupta, S., Rajasekaran, M., Roy, P. K., Thakkar, F. M., Pathak, A. D., Ayappa, K. G., & Maiti, P. K, Journal of Membrane Science, 121044, 2022. (2022)

Computing contact angles for oil– water–rock systems via thermodynamic integration


Rohan Patel, Ravi Kumar Reddy Addula, Majeed Shaik, Sudeep Punnathanam. J. , The Journal of Chemical Physics, Oct, 2022 (2022)

Evaluation of machine learning methodologies using simple physics based conceptual models for flow in porous media


Magzymov, D., Ratnakar, R.R., Dindoruk, B. and Johns, R.T, Journal of Petroleum Science and Engineering, p.111056. (2022)

Complex fluids with visco-elastic rheology for applications in oil & gas industry


Shauvik De, Stefen Berg, Science Talks, Aug 2022. (2022)

Towards Predicting the Onset of Elastic Turbulence in Complex Geometries


Eseosa M. Ekanem, Stefen Berg, Shauvik De, Ali Fadili, Paul Luckham, Transport in Porous Media, mAY 2022 (2022)

Siamese-SR: A Siamese Super-Resolution model for boosting resolution of Digital Rock images for Improved Petrophysical Property Estimation


Vishal R. Ahuja, Utkarsh Gupta, Shivani R. Rapole, Nishank Saxena, Ronny Hofmann, Ruarri J. Day-Stirrat, Jaya Prakash, Phaneendra K. Yalavarthy,, IEEE Transactions on Image Processing, May 2022. (2022)

Role of Computational Science in Materials and Systems Design for Sustainable Energy Applications: An Industry Perspective


Shantanu Maheshwari, Sharankumar Shetty, Ram Ratnakar and Suchismita Sanyal, Journal of Indian Institute of Science, 2022. (2022)

Role of magnetization on catalytic pathways of non-oxidative methane activation on neutral iron carbide clusters.


Manish Kumar, Manzoor Ahmad Dar, Ankita Katiyar, Ravi Agrawal, Prathamesh M. Shenai and Varadharajan Srinivasan, Chem. Phys., 2022, Advance Article. (2022)

Critical Deposit Loading Thresholds for Under Deposit Corrosion in Steam Generators


Abitha Ramesh, Nicholas Laycock, Prathamesh Shenai, Andrew Barnes, Helmar Van Santen, Aarthi Thyagarajan, Aboubakr M. Abdullah, Mary Ryan, CORROSION (2022). (2022)

A Comparative Study of the Impact of the CO2 Properties on the Thermal Output of a Geothermal Well


Ratnakar, R., Dindoruk, B., Livescu, S. and Gautam, S, In SPE Improved Oil Recovery Conference. SPE-209362-MS. (2022)

Phase behavior and pH modelling for ammonia-MEA-water mixtures for corrosion control in water utility applications


Ratnakar, R., Gupta, S.S., Stockinger, G., Hamer, W. and Dindoruk, B, Fluid Phase Equilibria, 554, p.113305 (2022)

Activation of CO2 and CH4 on MgO surfaces: mechanistic insights from first-principles theory


Meghna A. Manae, Lakshay Dheer, Sandhya Rai, Sharan Shetty, Umesh V. Waghmare, Chem. Phys.,2022. 24, p1415 (2022)

The Role of Diffusivity in Oil and Gas Industries: Fundamentals, Measurement, and Correlative Techniques


Ratnakar, R. , Dindoruk B, Processes. 2022 Jun 15;10(6):1194. (2022)

Modular reactors with electrical resistance heating for hydrocarbon cracking and other endothermic reactions


Balakotaiah V, Ratnakar R, AIChE Journal. 2022 Feb;68(2):e17542 (2022)

Towards Predicting the Onset of Elastic Turbulence in Complex Geometries


Eseosa Ekanem, Steffen Berg, Shauvik De, Ali Fadili, Paul Luckham, Transport in Porous Media: Published: 16 May 2022 (2022)

Equation Oriented Optimization of Multi Stream Heat Exchanger Design and Operation in Natural Gas Liquefaction Process


Saif R. Kazia, Lorenz T. Bieglera, Rahul Gandhi, Computer Aided Chemical Engineering (2022)

2021

The virtual corrosion engineer.


Nicholas Laycock, Aarthi Thyagarajan, Wouter Hamer, Joy Phophichitra, Valliappan Valliappan, Abitha Ramesh, Prathamesh Shenai, MDPI 1st Corrosion and Materials Degradation Web Conference session Mechanism and Predictive/Deterministic Aspects of Corrosion (2021)

Energy Dispersive X-Ray Hyperspectral Image Analysis and Chemometrics for Catalyst Characterization


José M. González-Martínez, 2021 AIChE Annual Meeting, Boston (US), November 2021 (2021)

Signature of elastic turbulence of viscoelastic fluid flow in a single pore throat


EM Ekanem, S Berg, S De, A Fadili, T Bultreys, M Rücker, J Southwick, Physical Review E 101 (4), 042605, 2021 (2021)

Electronic Promotion Effects of Metal Oxides: A Case Study of MnO Impact on Fischer–Tropsch Catalysis


S. S Gupta, P. M. Shenai, J. Meeuwissen, G. L. Bezemer and S. Shetty, Phys. Chem. C 2021, 125, 39, 21390–21401 (2021)

Unraveling the activity of iron carbide clusters embedded in silica for thermocatalytic conversion of methane


Gopal K Dixit, Manish Kumar, Ankita Katiyar, Antonius PJ Jansen, Alexander P van Bavel, Ravi Agrawal, Prathamesh M Shenai, Varadharajan Srinivasan, Catalysis Science & Technology 2021,11, 7398-7411 (2021)

Transient Measurement and Modeling of Integrated Capillary Viscometer for Live Oils at High Temperatures with Volumetric Constraints


Ram R. Ratnakar, Birol Dindoruk., Journal of Petroleum Science and Engineering (2021), 201: 108462 (2021)

Phase Equilibria Acid-Gas Aqueous Systems (CO2, H2S, CH4, Water) and In-Situ pH Measurements in Applications to Top-of-Line Corrosion


Birol Dindoruk, Ram R. Ratnakar, Sanyal Suchismita., SPE J. (2021), SPE-201341-PA (2021)

Carbon Deposition and Permeation on Nickel Surfaces in Operando Conditions: A Theoretical Study


Lei, T., Mao, J., Liu, X., Pathak, A.D., Shetty, S., van Bavel, A.P., Xie, L., Gao, R., Ren, P., Luo, D. and Liu, Q, The Journal of Physical Chemistry C, 125(13), pp.7166-7177 (2021)

Critical Deposit Loading Thresholds for Under Deposit Corrosion in Steam Generators


N. Laycock, A. Barnes, H. Van Santen, R. Reimesch, P. Shenai, A. Thyagarajan, W. Hamer, A. M. Abdullah and M.P. Ryan, International Conference on Sustainable Energy-Water Nexus in Desert Climate 2021 (2021)

Performance Engineering for High Resolution micro-CT Image Reconstruction


Singh, A., Metri, V., Periyasamy, V, High Performance Computing & Software for Exploration and Reservoir Development 2021 (2021)

Towards predicting the onset of elastic turbulence in complex geometries


Eseosa Ekanem, Steffen Berg, Shauvik De, Ali Fadili, Paul Luckham, (Proceedings of the National Academy of Sciences) – 2021 (2021)

Development of a Reactive Force Field for CaCl2·nH2O, and the Application to Thermochemical Energy Storage


Heijmansa, K. , Nab, S. , Pathak, A.D, Nedea, S. and Smeulders, D, (2021)

Hydrogen supply chain and challenges in large-scale LH2 storage and transportation


Ram R. Ratnakar, Nikunj Gupta, Kun Zhang, Casimir van Doorne, James Fesmire, Birol Dindoruk, Vemuri Balakotaiah, International Journal of Hydrogen Energy (2021) (2021)

Phase behavior and pH modelling for ammonia-MEA-water mixtures for corrosion control in water utility applications


Ram Ratnakar, Somil Gupta, Georg Stockinger, Wouter Hamer, Birol Dindoruk, Fluid Phase Equilibria (2021 (2021)

Design and scale-up of modular reactors with electrical resistance heating for endothermic reactions.


Vemuri Balakotaiah, Ram Ratnakar, AIChE J. (2021) (2021)

2020

Complex flow behaviors of viscoelastic fluids in porous medium for applications in Oil & Gas industry


Shauvik De, Steffen Berg , Journal of non-Newtonian fluid mechanics (2020)

Phase Behavior Modeling of Acid-Gas Aqueous Systems CO2, H2S, CH4, Water and In-Situ pH Measurements in Applications to Wellbore Integrity and Top-of-Line Corrosion


Birol Dindoruk, Ram R. Ratnakar, Sanyal Suchismita, SPE-201341-MS (2020 (2020)

Molecular Dynamics Simulation of the n-Octacosane-Water Mixture Confined in Hydrophilic and Hydrophobic Mesopores: The Effect of Oxygenates


Konstantinos D Papavasileiou, Loukas D Peristeras, Jiaqi Chen, Gerard P van der Laan, Indranil Rudra, Ahmad Kalantar, Ioannis G Economou, Fluid Phase Equilibria, 526, 112816 (2020). (2020)

First Principle characterization and experimental validation of the Solid-Solid Interface in a Novel Organosulfur Cathode for Li-S Battery


S Bonakala, AD Pathak, A Deyko, CG Christova, Indranil Rudra, G Verbist, ACS Applied Materials & Interfaces, 12, 15, 18101-18109 (2020) (2020)

Enhanced catechol biosensing on metal oxide nanocrystal sensitized graphite nanoelectrodes through preferential molecular adsorption


IC Lekshmi, I Rudra, R Pillai, C Sarika, MS Shivakumar, C Shivakumara, SB Konwar, B Narasimhamurthy, Journal of Electroanalytical Chemistry, 867, 114190 (2020) (2020)

Reactor Engineering Aspects of the Lateral Flow Reactor


LA Vandewalle, S De, KM Van Geem, GB Marin, R Bos, Industrial & Engineering Chemistry Research 59 (24), 11157-11169, 2020 (2020)

Review of recent advances in petroleum fluid properties and their representation


Birol Dindoruk, Ram R. Ratnakar, Jiajun He, Journal of Natural Gas Science and Engineering (2020), 83: 103541 (2020)

Multilayer Graphene coated Vanadium(V) Oxide as Electrodes for Intercalation Based Brackish Water Desalination


Baburaj, A., Puthirath, A.B., Jain, A., Palanisamy, D., Salpekar, D., Balachandran, J., Kabbani, M.A., Hernandez, F.R., Hughes, G., Babu, G. and Ajayan, P.M, 2020. 2D Materials, 7(4), p.045025 (2020)

Investigations on 6FDA/BPDA-DAM polymer melt properties and CO2 adsorption using molecular dynamics simulations.


Roy, P.K., Kumar, K., Thakkar, F.M., Pathak, A.D., Ayappa, K.G. and Maiti, P.K, Journal of Membrane Science, 613, p.118377 (2020)

Theoretical Insights into Structure and Activity of Cobalt Modulated by Surface and Subsurface Carbon in Operando Conditions


Luo, D., Liu, X., Gao, R., Pathak, A.D., Shetty, S., van Bavel, A.P., Yang, Y., Li, Y.W. and Wen, X.D., The Journal of Physical Chemistry C, 124(34), pp.18576-18586. (2020)

Mass diffusivity and thermal conductivity estimation of chloride-based salt hydrates for thermo-chemical heat storage: A molecular dynamics study using the reactive force field.


Pathak, A.D., Heijmans, K., Nedea, S., van Duin, A.C., Zondag, H., Rindt, C. and Smeulders, D, International Journal of Heat and Mass Transfer, 149, p.119090 (2020)

2019

Equation of state of fluid methane from first principles with machine learning potentials


M Veit, SK Jain, S Bonakala, Indranil Rudra, D Hohl, G Csányi, Journal of chemical theory and computation 15 (4), 2574-2586 (2019) (2019)

2018

MVBatch: A matlab toolbox for batch process modeling and monitoring


González-Martinez, J.M., Camacho, J., Ferrer, A.J, Chemometrics and Intelligent Laboratory Systems, 2018 (2018)

Data Science & Statistics

2024

An Unsupervised Learning Approach for Predicting Wind Farm Power and Downstream Wakes Using Weather Patterns


Mariana C. A. Clare, Simon C. Warder , Robert Neal , B. Bhaskaran4, and Matthew D. Piggott, Journal of Advances in Modelling Earth Systems (2024)

Corrosion and Risk modelling analytics


Nick Laycock, Shivadhanush BR, Samie Farid, Geeta Motwani, Panchami Prasannakumar, Jarno Hartog, , AMPP 2024 conference proceeding at New Orleans, USA (2024)

covXtreme : MATLAB software for non-stationary penalised piecewise constant marginal and conditional extreme value models


Ross Towe, Emma Ross, David Randell, Philip Jonathan, Environmental Modelling & Software (2024)

Exact optimisation of spatiotemporal monitoring networks by p-splines with applications in groundwater assessment


Marnie I. Low, Adrian W. Bowman, Wayne Jones, Matthijs Bonte, Environmetrics (2024)

FWI regularization using generative deep learning (PDF)


Farhad Bazargani, Debanjan Datta, Anu Chandran, Rakesh Manjappa, Fabian Ernst, Mark J. Huiskes, Rene Eduard Plessix, IMAGE (2024)

Machine learning to rapidly predict turbine yaw angles for wake steering


Andrew P. J. Stanley, Tim Mulder, Bart Doekemeijer, and Jasper Kreeft, Journal of Physics: Conference Series (2024)

GroundWater Spatiotemporal Monitoring Tool


Wayne R. Jones, Luc Rock, GeoStats 2024 Conference (2024)

GroundWater Spatiotemporal Data Analysis Tool (GWSDAT)


Wayne Jones, Luc Rock, RemTech Europe (2024)

Rational design of nanoscale stabilized oxide catalysts for OER with OC22


Richard Tran, Liqiang Huang, Yuan Zi, Shengguang Wang, Benjain M. Comer, Xuqing Wu, Stefan J. Raaijman, Nishant K. Sinha, Sajanikumari Sadasivan, Shibin Thundiyil, Kuldeep B. Mamtani, Ganesh Iyer, Lars C. Grabow, Ligang Lu, Jiefu Chen, Nanoscale (2024)

Improving wind power modelling through granular spatial and temporal bias correction of reanalysis data


Ellyess F. Benmoufok, Simon C. Warder, Elizabeth Zhu, B. Bhaskaran, Iain Staffell, Matthew D. Piggott, Energy (2024)

2023

Estimation of associated values from conditional extreme value models


Ross Towe, David Randell, Jennifer Kensler, Graham Feld, and Philip Jonathan, Ocean Engineering 272 (2023): 113808. (2023)

Extremal characteristics of conditional models


S. Tendijck, J. A. Tawn and P. Jonathan, Extremes 26, 139–156 (2023). (2023)

Uncertainties in estimating the effect of climate change on 100-year return value for significant wave height


K. Ewans and P. Jonathan, Ocean Eng. 272:113840 (2023) (2023)

A penalised piecewise-linear model for non-stationary extreme value analysis of peaks over threshold


A.M. Barlow, E. Mackay, E. Eastoe and P. Jonathan, Ocean Eng. 267:113265 (2023). (2023)

Computationally Efficient Ranking of Groundwater Monitoring Locations


Radvanyi, P., Miller, C., Alexander, C., Low, M., Jones, W. R. and Rock, L, 37th International Workshop on Statistical Modelling (IWSM), Dortmund, Germany, 16-21 Jul 2023, pp. 332-338. ISBN 9783947323425 (2023)

Development and Application of an Engine Test Method to Rate the Internal Injector Deposit Formation of Diesel Fuels and Additives


Bartosch Kolkowski, Rod Williams, Michael Gee, John Rimmer, Stephanie Lucas, SAE Technical Paper 2022-01-1070, 2022. (2023)

Enhanced monitoring of atmospheric methane from space with hierarchical Bayesian inference


C. Roberts, O. Shorttle, K. Mandel, M. Jones, R. Ijzermans, B. Hirst and P. Jonathan, Environmental Research Letters, Volume 17, Number 6 (2023)

Multivariate spatial conditional extremes for extreme ocean environments


R. Shooter, E. Ross, A. Ribal, I.R. Young and P. Jonathan, Ocean Eng. 247:110647. arXiv:2201.10451 (2023)

Temporal evolution of the extreme excursions of multivariate k�th order Markov processes with application to oceanographic data


Stan Tendijck, Philip Jonathan, David Randell, Jonathan Tawn, Submitted to Envirometrics (2023)

Avoiding methane emission rate underestimates when using the divergence method


C. Roberts, R. Ijzermans, D. Randell, M.Jones, P. Jonathan, K. Mandel, B. Hirst and O. Shorttle, Environmental Research Letters, Volume 18, Number 11 (2023)

A multivariate pseudo-likelihood approach to estimating directional ocean wave models


J. P. Grainger, A. Sykulski, K. Ewans, H. F. Hansen and P. Jonathan, Journal of the Royal Statistical Society (2023)

Long-term Continuous Monitoring of Methane Emissions at an Oil and Gas Facility using a Multi-open-path Laser Dispersion Spectrometer


Rutger Ijzermans, Matthew Jones, Damien Weidmann, Bas van de Kerkhof, David Randell , Nature: Scientific Reports (2023)

Theoretical Insights into the Effects of KOH Concentration and the Role of OH− in the Electrocatalytic Reduction of CO₂ on Au


Sahithi Gorthy, Sumit Verma, Nishant Sinha, Sharan Shetty, Huy Nguyen, and Matthew Neurock, ACS Catalysis (2023)

A Conditional Value-at-Risk Framework For Optimal Microgrid Day-Ahead Market Bidding (PDF)


Robert Herding, Emma Ross, Wayne Jones, Sam Johnson, Vassilis Charitopoulos, Lazaros Papageorgiou, FOCAPO/CPC conference, San Antonio, 2023. (2023)

covXtreme: MATLAB software for non-stationary penalised piecewise constant marginal and conditional extreme value models


Ross Towe, Emma Ross, David Randell, Philip Jonathan, (2023)

Metagenomic analysis of ethylene glycol contamination in anaerobic digestion


Gabrielle R Joslin, Daniel G Barber, Lindsay Aston, Ping Liu, Olukayode Kuloyo, Kangsa Oentoro, Jiayi Liu, Ashley V Baugh, Jeffrey R Fedenko, Ioannis Melas, Phillip G Hamilton, Damian J Allen, Richard K Tennant, Published by Bioresource Technology Journal (2023) (2023)

GWSDAT GroundWater Spatiotemporal Data Analysis Tool: Overview and Tutorial


Peter Radvanyi, Wayne Jones, Luc Rock, AquaConSoil 2023 (2023)

Probabilistic forecast-based portfolio optimization of electricity demand at low aggregation levels


Jungyeon Park, Estêvão Alvarenga, Jooyoung Jeon, Ran Li, Fotios Petropoulos, Hokyun Kim, Kwangwon Ahn, Applied Energy (2023)

Data Science Driven Framework for Leak Detection in LNG Plants using Process Sensor Data


Stephen Varghese Arvind Ravi Resmi Suresh Rihab Abdul Razak Shirish Potu Jose M. Gonzalez-Martinez, Oral presentation at ENBIS 2023 Valencia Conference on 12th Sept 2023 (2023)

Deep Reinforcement Learning for Optimal Decision-making in Supply Chains


Nitin Singh, Meng Ling, Talha Ahmed, Tianxia Zhao, Reinier van de Pol, World Academy of Science, Engineering and Technology International Journal of Computer and Systems Engineering (2023)

SYSTEM LENGTH AND PRICE FORECASTING IN BRITISH BALANCING MECHANISM


Klimis Stylpnopoulos, Jethro Browell, Janine Illian,Keith Bell, Wayne Jones, Ciaran Gilbert, ETP 12th Annual Conference 2023 (2023)

2022

AI based approaches for uncertainty management in the subsurface. (PDF)


J. Limbeck, J. Przybysz-Jarnut, M. Nicolo, B. Hartman, G. Joosten, T. Mulder, P. Tummala, J. Jackson, D. Lane, V. Ghadyale, P. Reinhard, M. Ten, L. Stanier, S. Ziman, A. Haskell, M. Gupta, V. Jain, H. Williams, T. Krasznavolgyi, E. Link, SEG workshop in Artificial Intelligence for Subsurface Characterization: Advances, Pitfalls and Limitations. September 2022. (2022)

Efficiency and Effectiveness - A Fine Balance: An Integrated System to Improve Decisions in Real-Time Hydraulic Fracturing Operations


Somnath Mondal, Ashan Garusinghe, Sebastian Ziman, Muhammed Abdul-Hameed, Rakesh Paleja, Matthew Jones, Jan Limbeck, Bryce Bartmann, Jeremy Young, Kent Shanley, Bonner Cardwell, Humphrey Klobodu, , Gustavo Ugueto, Christopher Ledet, SPE Hydraulic Fracturing Technology Conference and Exhibition, Woodlands Texas, February 2022. (2022)

Estimating joint extremes of significant wave height and wind speed for tropical cyclones.


K. Sando, R. Wada, J. Rohmer, S. Lecacheux and P. Jonathan., OMAE2022-79888 Proc. 41st Int. Conf. on Ocean, Offshore & Arctic Engineering, June 2022. (2022)

Control of Diesel Engine Exhaust Gas Recirculation System Deposits with Fuel Additives


Rod Williams, Tushar Bera, Stephen Cook, Michael Forster, Jacqueline Reid, John Rimmer, Alan Ross, Nigel Broom, Stephanie Lucas., SAE Technical Paper 2022-01-1072, 2022 (2022)

Development and Application of an Engine Test Method to Rate the Internal Injector Deposit Formation of Diesel Fuels and Additives


Bartosch Kolkowski, Rod Williams, Michael Gee, John Rimmer, Stephanie Lucas., SAE Technical Paper 2022-01-1070, 2022 (2022)

Groundwater Spatiotemporal Data Analysis Tool: Case Studies, New Features and Future Developments


Wayne R. Jones, Luc Rock, Alexandra Wesch, Emanuel Marzusch, Marnie Low, Groundwater Monitoring and Remediation, April 2022. (2022)

Multivariate spatial conditional extremes for extreme ocean environments


Rob Shooter, Emma Ross, Agustinus Ribal, Ian R. Young, Philip Jonathan., Ocean Eng. 247:110647, March, 2022 (2022)

On wave impact pressure variability


Alison Raby, Geoff Bullock, Philip Jonathan, David Randell, Colin Whittaker, Coastal Engineering, June 2022, 104168, ISSN 0378-3839. (2022)

Enhanced monitoring of atmospheric methane from space over the Permian basin with hierarchical Bayesian inference


Clayton Roberts, Oliver Shorttle, Kaisey Mandel, Matthew Jones , Rutger Ijzermans, Bill Hirst and Philip Jonathan, Environmental Research Letters, Volume 17, Number 6, June 2022 (2022)

Locating and Quantifying Methane Emissions by Inverse Analysis of Path-Integrated Concentration Data Using a Markov-Chain Monte Carlo Approach


Weidmann, Damien; Hirst, Bill; Jones, Matthew; Ijzermans, Rutger; Randell, David; Macleod, Neil; Kannath, Arun; Chu, Johnny; Dean, Marcella, ACS Earth and Space Chemistry, June 2022 (2022)

Statistical estimation of spatial wave extremes for tropical cyclones from small data samples: validation of the STM-E approach using long-term synthetic cyclone data for the Caribbean Sea


R, Wada, J. Rohmer, Y. Krien and P. Jonathan, Nat. Hazards Earth Sys., 22, 431-444 , June 2022 (2022)

2021

Groundwater Spatiotemporal Data Analysis Tool (GWSDAT): An overview


Wayne R. Jones, Luc Rock, Conference proceedings of Third EAGE Geochemistry Workshop, Sep 2021, Volume 2021, p.1–3. (2021)

Implications of the LOADS JIP on extreme wave conditions in the North Sea


Graham Feld, David Randell, Phillip Jonathan , Asset Integrity Management - Ageing and Life Extension Conference (December 2021) (2021)

A probabilistic Structural Reliability Assessment of Existing North Sea Platforms.


Graham Feld, David Randell, John Kent Stephen Rose, Emmanuel Fakas, AIM‐ALE2021‐76076 December 2021 (2021)

Cone beam computed tomography reconstruction for digital rock


Periyasamy, V., Metri, V., Singh, A., Hofmann, R., Tandon, K., Yalavarthy, P. K., and Prakash, J, InterPore 2021 (2021)

Efficient estimation of distributional properties of extreme seas from a hierarchical description applied to calculation of un-manning and other weather-related operational windows


Towe, Ross, Elena Zanini, David Randell, Graham Feld, and Philip Jonathan, Ocean Engineering 238 (2021): 109642. (2021)

Modeling the Extremes of Bivariate Mixture Distributions With Application to Oceanographic Data


Stan Tendijck, Emma Eastoe, Jonathan Tawn, David Randell & Philip Jonathan, Journal of the American Statistical Association (2021)

A spatio-temporal model for Red Sea surface temperature anomalies


Rohrbeck, C., Simpson, E.S. & Towe, R.P, Extremes 24, 129–144 (2021). (2021)

Bayes linear analysis for ordinary differential equations


Matthew Jones, Michael Goldstein, David Randell, Philip Jonathan, Computational Statistics & Data Analysis, Volume 161, 2021, 107228, ISSN 0167-9473 (2021)

Uncertainties in return values from extreme value analysis of peaks over threshold using the generalised Pareto distribution


Philip Jonathan, David Randell, Jenny Wadsworth, Jonathan Tawn, Ocean Engineering, Volume 220, 2021, 107725, ISSN 0029-8018 (2021)

Spatial dependence of extreme seas in the North East Atlantic from satellite altimeter measurements


Shooter, R., Ross, E., Ribal, A, Environometrics, vol 32, e2674 (2021)

Optimal bidding strategies of a microgrid in energy markets under uncertainty: A stochastic programming approach


Robert Herding, Emma Ross, Wayne Jones, Sam Johnson, Vassilis Charitopoulos, Lazaros Papageorgiou, 31st European Conference on Operational Research, Athens, 2021 (2021)

2020

Quantifying the Risk of Shallow Hazards Using a Principled Statistical Workflow


D. Dhillon, L. Lu, J. Chen, H. Yang, SPE Annual Technical Conference and Exhibition, Houston, October 2020 (2020)

Flexible covariate representations for extremes


Zanini, E, Eastoe, E, Jones, MJ, Randell, D, Jonathan, P, Environmetrics. 2020; 31:e2624 (2020)

Methane Emissions: Remote Mapping and Source Quantification Using an Open-Path Laser Dispersion Spectrometer


Hirst, B., Randell, D., Jones, M., Chu, J., Kannath, A., Macleod, N, Geophysical Research Letters, 47, e2019GL086725 (2020)

Directional–seasonal extreme value analysis of North Sea storm conditions


Hans Fabricius Hansen, David Randell, Allan Rod Zeeberg, Philip Jonathan, Ocean Engineering, Volume 195, 2020, 106665, ISSN 0029-8018 (2020)

On environmental contours for marine and coastal design


Emma Ross, Ole Christian Astrup, Elzbieta Bitner-Gregersen, Nigel Bunn, Graham Feld, Ben Gouldby, Arne Huseby, Ye Liu, David Randell, Erik Vanem, Philip Jonathan, Ocean Engineering, Volume 195, 2020, ISSN 0029-8018 (2020)

Rethinking data-driven decision support in flood risk management for a big data age


Towe, R, Dean, G, Edwards, L, Journal of Flood Risk Management. 2020; 13:e12652 (2020)

Basin‑wide spatial conditional extremes for severe ocean storms


Shooter, R., Tawn, J., Ross, E, Extremes, vol 24 (2020)

Assessing the Impact of Lubricant and Fuel Composition on LSPI and Emissions in a Turbocharged Gasoline Direct Injection Engine


Kar, A.; Huisjen, A.; Aradi, A.; Reitz, J.; Iqbal, A.; Haumann, K.; Kensler, J.; Hardman, K., Mainwaring, R., Remmert, S, SAE Technical Paper 2020-01-0610, 2020 (2020)

2019

PARAMO: Enhanced Data Pre‐processing in Batch Multivariate Statistical Process Control


Fuentes-García, N.M., González-Martinez, J.M., Maciá-Fernández, G., Camacho, J, Journal of Chemometrics, 2019, 33 (12): e3188- (2019)

Statistical modelling of groundwater contamination monitoring data: A comparison of spatial and spatiotemporal methods


M.I. McLean, L. Evers, A.W. Bowman, M. Bonte and W.R. Jones, Science of the Total Environment. (2019)

Spatial and Seasonal Variability of Metocean Design Criteria in the Southern South China Sea From Covariate Extreme Value Analysis


Anokhin, V, Ross, E, Randell, D, & Jonathan, P, Proceedings of the ASME 2019 38th International Conference on Ocean (2019)

On the Estimation and Application of Directional Design Criteria


Feld, G, Jonathan, P, & Randell, D., Ocean Engineering. Glasgow, Scotland, UK. June 9–14, 2019 (2019)

Design conditions for waves and water levels using extreme value analysis with covariates


Graham Feld, David Randell, Emma Ross, Philip Jonathan, Ocean Engineering, Volume 173, 2019, Pages 851-866, ISSN 0029-8018 (2019)

A model for the directional evolution of severe ocean storms


Tendijck, S, Ross, E, Randell, D, Jonathan, P, Environmetrics. 2019; 30:e2541 (2019)

On spatial conditional extremes for ocean storm severity


Shooter, R., Ross, E., Tawn, J., Jonathan, P, Environmetrics, vol 30 (2019)

Analysis of split-plot reliability experiments with subsampling


Dickinson, R. M.; Freeman, L. J.; Kensler, J. L. K.; and Vining, G. G, Quality and Reliability Engineering International 35:3, pp. 738-749 (2019)

Evaluation of Gasoline Additive Packages to Assess Their Ability to Clean Up Intake Valve Deposits in Automotive Engines


Raj Mohan, V.R.; Nelson, E.; Reitz, J.; Kensler, J.; Gauba, V, SAE Technical Paper 2019-01-0261, 2019 (2019)

The GroundWater Spatiotemporal Data Analysis Tool (GWSDAT) for Groundwater Quality Analyses


W. R. Jones, M. Bonte, C. Kady, Claire Technical Bulletin (2019)

2018

Uncertainty quantification in estimation of extreme environments


Matthew Jones, Hans Fabricius Hansen, Allan Rod Zeeberg, David Randell, Philip Jonathan, Coastal Engineering, Volume 141, 2018 (2018)

Estimating surge in extreme North Sea storms.


Emma Ross, Samta Sam, David Randell, Graham Feld, Philip Jonathan, Ocean Engineering, Volume 154, 2018 (2018)

On environmental contours for marine and coastal design


Ross, E.; Astrup, O.; Bitner‑Gregersen, E. M.; Bunn, N.; Feld, G.; Gouldby, B.; Huseby, A. B.; Liu, Y.; Randell, D.; Vanem, E; Jonathan, P., ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering, vol 7B (2018)

2017

Octane Requirement and Efficiency in a Fleet of Modern Vehicles


Redmann, J.; Beutler, M.; Kensler, J.; Luebbers, M.; and Cracknell, R, SAE Technical Paper 2017-01-0810, 2017 (2017)

Digital Technology

2020

High Bit-Depth Seismic Data Compression: A Novel Codec Under the Framework of HEVC


M. Radosavljevic, Z, Xiang, L. Lu, D. Hohl, D. Vukobratovic, IEEE Access, Vol. 8, July 2020 (2020)

Optimisation

2024

Risk-aware microgrid operation and participation in the day-ahead electricity market


Robert Herding, Emma Ross, Wayne R. Jones, Elizabeth Endler , Vassilis M. Charitopoulos, Lazaros G. Papageorgiou, Advances in Applied Energy (2024)

An accelerated computational platform for optimal field developments with reduced footprint


Faruk O Alpak, Guohua Gao, Geoenergy Science and Engineering - Volume 237, June 2024, 212475 (2024)

Bi-Objective Optimization of Subsurface CO2 Storage with Nonlinear Constraints Using Sequential Quadratic Programming with Stochastic Gradients
Quang Minh Nguyen, Mustafa Onur, Faruk Omer Alpak, SPE J. 29 (04): 1919–1932. (2024)

Multi-objective optimization of subsurface  capture, utilization, and storage using sequential quadratic programming with stochastic gradients


Quang Minh Nguyen, Mustafa Onur, Faruk Omer Alpak, Journal of Computational Geosciences (2024)

A novel hierarchical model calibration method for deep water reservoirs under depletion and aquifer influence


Ao Li, Faruk Omer Alpak, Eduardo Jimenez, Tzu-Hao Yeh, Andrew Ritts, Vivek Jain, Hongquan Chen, Akhil Datta-Gupta, Computational Geosciences (Pgs 1-17) (2024)

2023

Stochastic programming approach for optimal day-ahead market bidding curves of a microgrid


Robert Herding, Emma Ross, Wayne R. Jones, Vassilis M. Charitopoulos and Lazaros G. Papageorgiou, Applied Energy 336 (2023). (2023)

Stochastic Price Generation for Evaluating Wholesale Electricity Market Bidding Strategies (PDF)


Nicholas D. Laws, Dylan Cutler, Hallie Dunham, Sam Johnson, Daniel Inman, Nikita Granger, Wayne Jones and David Chalenski, NREL Technical Report (2023). (2023)

2022

Process Modeling, Design, and Intensification of Oxidative Coupling of Methane (OCM) Process


Moustafa Ali, Yuhe Tian, Shauvik De , Alexander P. van Bavel, C. Doga Demirhan, Efstratios N. Pistikopoulos , ACS Conference proceedings – April 2022 (2022)

A novel approach for computing washcoat diffusional effects in reduced order models of monolith reactors


Ratnakar, R., Tu, M., and Balakotaiah, V, Chemical Engineering Science. Accepted (2022)

Supply Chain Optimization for Mainstreaming SAF in the Indian Aviation Sector


Arvind Ravi, Shirish Nanda Potu, Stephen Varghese, Valliappan Valliappan, Vishwanath Doddamani, National Conference on Multidisciplinary Analysis and Optimization (pp. 35-43). Springer, Singapore (2022)

Multi-mode reduced order models for real time simulations of monolith reactors with micro-kinetics


Tu M, Ratnakar R, Balakotaiah V., Chemical Engineering Journal. 2022 Feb 15;430:132532. (2022)

2021

A State Estimation, Kalman Filter Auto-tuning and Uncertainty Quantification Framework with application to Industrial Storage Tank-farms


Shirish Nanda Potu, Rihab Abdul Razak and Senthil K Vadivelu, National Conference on Multidisciplinary Design, Analysis, and Optimization. October 8, 2021. (2021)

Supply chain optimization for mainstreaming SAF in the Indian aviation sector


Arvind Ravi, Shirish Potu, Stephen Varghese, Valliappan Valliappan and Vishwanath Doddamani., National Conference on Multidisciplinary Design, Analysis, and Optimization. October 9, 2021. (2021)

Strategic Optimization of Lubricant Base Oil Formulations & Supply Portfolio


Senthil K Vadivelu, Gauri Shanker G R, Sudarshan Kasthurirangan and Ben Bosmans, National Conference on Multidisciplinary Design, Analysis, and Optimization. October 9, 2021 (2021)

Controlling and Optimizing Photoinduced Charge Transfer across Ultrathin Silica Separation Membrane with Embedded Molecular Wires for Artificial Photosynthesis


Hongna Zhang, Ian Weiss, Indranil Rudra, Won Jun Jo, Simon Kellner, Georgios Katsoukis, Elena Galoppini, Heinz Frei,, ACS Applied Materials & Interfaces, 13 (20), 23532-23546 (2021). (2021)

Modeling and experimental study on CO2 adsorption in fixed-bed columns: Applications to carbon capture and utilization


Ram R. Ratnakar, Shankar Santhosh, Ravi Agrawal, Birol Dindoruk, Journal of Natural Gas Science and Engineering (2021) (2021)

Patents

2023

Method for Inferring Well Integrity Criteria


L. Lu, Z. Dong, J. Chen, S2948-US-PSP and it will be filed as an international application by Sept. 16. 2023 (2023)

Machine learning platform for processing data maps


Jorge Luis Guevara Diaz, Bianca Zadrozny, Breno William Santos Rezende de Carvalho, Alvaro Bueno Buoro, Matthias Kormaksson, Ligang Lu, John Tolle, Detlef Hohl, Jan Limbeck, Mingqi Wu, , US Patent %23: 11719842 - patent issued August 8, 2023 (2023)

2022

Process for olefin production from waste plastic


Ronald Jan Schoonebeek, Alouisius Nicolaas Renee Bos, Baira Donoeva, Dominik Unruh, Shauvik De, Guus Van Rossum, Filed Patent - under review (SP 2920 is an RFPA ) (2022)

Autothermal Cracking of Hydrocarbons


Ronald Jan Schoonebeek, Alouisius Nicolaas Renee Bos, Baira Donoeva, Dominik Unruh, Shauvik De, Filed Patent (2022)

Novel Multiple-Heat-Flux-Zone Direct Heating Electric Tube Design for Cracking Hydrocarbons


Quan Yuan, Rami Sabbah, Huan Ngo, Ryan Johnson, George Bellos, Bert Harvey, Dave Burns, Shauvik De, (Shell Dow JDA – US patent, 2022) RFPA filed for Patents. (2022)

SYSTEM AND METHOD FOR PREDICTING CORROSION RATE IN A PIPE SECTION


Ligang Lu, Shun Zhang, Huihui Yang, Kuochen Tsai, Mohamed Sidahmed,, Publication of WO2023170034A1 (2022)

Method for updating velocity model of seismic waves in an earth formation. (PDF)


Pandu Devarakota, John Kimbro,, WO 2022/106496 A1, May 2022. (2022)

Method for determining presence of reservoired hydrocarbons..


Baksmaty LO, Ratnakar RR, Dindoruk B, United States patent application US 17/611,384. 2022 Jun 30. (2022)

Method for Determining Subsurface Hydrocarbon Fluid Properties of Reservoir Hydrocarbons


Baksmaty LO, Ratnakar RR, Dindoruk B, United States patent application US 17/611,349. 2022 Jun 30. (2022)

Electric energy storage devices.


Guy Verbist, Christina Christova, Alexey Deyko, Joice Klitzke, Indranil Rudra,, Shell Oil Company (Houston, TX, US), Patent (granted) (2022)

Methods for determining the presence of hydrocarbons in a reservoir and for determining a single hydrocarbon reservoir


Baksmaty LO, Ratnakar RR, Dindoruk B, United States patent application 17/611,328. (2022)

Modular reactor configuration for production of chemicals with electrical heating for carrying out reactions.


Ratnakar RR, Harvey A, Balakotaiah V, SP2637. PCT/EP2022/059896. April 2022 (2022)

2021

Modular reactor configuration for production of chemicals with electrical heating for carrying out reactions.


Ram R. Ratnakar, Albert Harvey, Vemuri Balakotaiah., Provisional application number: 63/175384 (2021) (2021)

Method, seismic sensor and system for wireless seismic networking


H. Jamali-Rad, and X. Campman, EU and US Patent, Oct. 2021 (2021)

2020

A system and method for the automatic and continuous highspeed measurement of color and geometry characteristics of particles.


M. Shaik, L. Ortiz-Soto, J.M. Gonzalez-Martinez, C. de Graaf, C. Guedon, US Patent No.63057718, 2020 (2020)

Method for determining presence of reservoir hydrocarbons.


Leslie Baksmaty, Ram R. Ratnakar, Birol Dindoruk, WO2020252245A1 (2020) (2020)

Method for determining subsurface hydrocarbon fluid properties of reservoired hydrocarbons


Leslie Baksmaty, Ram R. Ratnakar, Birol Dindoruk, WO2020252246A1 (2020 (2020)

Method for determining presence of reservoir hydrocarbons.


Leslie Owuraku BAKSMATYRam Ratan RATNAKAR Birol DINDORUK, WO2020252249A1 (2020) (2020)

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