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.
Selection of recent publications
Estimation of Time-lapse Timeshifts using Machine Learning
Yuan S., Duan Y., Hatchell P., Vila J., and Wang K., Society of Exploration Geophysicists Annual Meeting, Houston, TX, Oct. 2020.
Continuous Subsurface Tomography over Cellular Internet of Things
Hadi Jamali-Rad, Vincent van Beveren, Xander Campman, Jo van den Brand, Detlef Hohl, accepted to appear in IEEE Sensors Journal, 2020.
Mimicking coalescence using a pressure-controlled dynamic thin film balance
Emmanouil Chatzigiannakis, Peter Veenstra, Dick ten Boschb and Jan Vermant Soft Matter, August 2020, Advance Article.
Lookahead Adversarial Semantic Segmentation
Hadi Jamali-Rad, Attila Szabo, Matteo Presutto, accepted at ICML workshop on Uncertainly and Robustness in Deep Learning (UDL), July 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;
Continuous Subsurface Tomography over Cellular Internet of Things
IEEE Sensors Journal, doi: 10.1109/JSEN.2020.2992464. Hadi Jamali-Rad, Vincent van Beveren, Xander Campman, Jo van den Brand, Detlef Hohl, May 2020.
Nonlinear state-space modeling approaches to real-time autonomous geosteering
Yinsen Miao, Daniel R. Kowal, Neilkunal Panchal, Jeremy Vila, and Marina Vannucci, Journal of Petroleum Science and Engineering 189, 107025 June 2020.
Process for real-time geological localization with Kalman Filtering
Neilkunal Panchal, Sami Sultan, Yinsen Miao, Daniel R. Kowal, and Marina Vannucci, Patent publication, June 2020.
Continuous Subsurface Tomography Over Cellular Internet of Things (IoT) IEEE Sensors Journal
Hadi Jamali-Rad, Vincent van Beveren, Xander Campman, Jo van den Brand, Detlef Hohl, May 2020.
Machine learning platform for processing data map
J. Diaz, B. Zadrozny, B. Carvalh, A. Buoro, M. Komaksson, L. Lu, J. Tolle, D. Hohl, J. Limbeck, US Patent App 16/191112, 5/14/2020;
Deep Neural Network Learning with Second-Order Optimizers -- a Practical Study with a Stochastic Quasi-Gauss-Newton Method
C. Thiele, M. Araya and D. Hohl, 2020 SIAM ICML workshop Beyond First Order Methods in ML Systems.
Effect of Dilution on Acoustic and Transport Properties of Reservoir Fluid Systems
SPE Journal, SPE-190480-PA, Ratnakar, R. R., Lewis, E. J., & Dindoruk, B. (2020).
ESP Data Analytics: Use of Deep Autoencoders for Intelligent Surveillance of Electric Submersible Pumps. Offshore Technology Conference
Alamu, O. A., Pandya, D. A., Warner, O., & Debacker, I. (2020, May 4).
Signature of elastic turbulence of viscoelastic fluid flow in a single pore throat
Eseosa M. Ekanem, Steffen Berg, Shauvik De, Ali Fadili, Tom Bultreys, Maja Rücker, Jeffrey Southwick, John Crawshaw, and Paul F. Luckham; Phys. Rev. E 101, 042605 – April 2020.
Temperature-Dependent Surface Free Energy and the Wulff Shape of Iron and Iron Carbide Nanoparticles
A Molecular Dynamics Study; Mengjiao Xing, Amar-Deep Pathak, Suchismita Sanyal, Qing Peng, Xingchen Liu, Xiaodong Wen, Applied Surface Science 509, 15 April 2020, 144859
Nucleation and Growth of a Nanobubble on Rough Surfaces
Shantanu Maheshwari, Cor van Kruijsdijk, Suchismita Sanyal and Albert D. Harvey, Langmuir, April 2020, 36, 15, 4108–4115.
First-Principles Characterization and Experimental Validation of the Solid–Solid Interface in a Novel Organosulfur Cathode for the Li–S Battery
Satyanarayana Bonakala, Amar Deep Pathak, Alexey Deyko, Christina Christova, Indranil Rudra, Guy Verbist, ACS Appl. Mater. Interfaces March 2020, 12, 15, 18101-18109.
A Hybrid Approach for the Prediction of Relative Permeability Using Machine Learning of Experimental and Numerical Proxy SCAL Data
SPE Journal. Zhao, B., Ratnakar, R., Dindoruk, B., & Mohanty, K. (2020)
Evaluating the Reactivity of BiVO4 Surfaces for Efficient Electrocatalytic H2O2 Production: A Combined Experimental and Computational Study
Ashish Nadar, Somil Subhashchandra Gupta, Yusuf Kar, Sharan Shetty, Alexander P. van Bavel, and Deepa Khushalani; J. Phys. Chem. C 2020, 124, 4152−4161
Psi-PIV: a novel framework to study unsteady microfluidic flow
Experiments in Fluids 61, Article number: 20 (2020)
Impact of Asphaltenes on Contact-Angle Variations and Surface Topography and Composition
Ratnakar, R. R., Mantilla, C. A., & Dindoruk, B. (2020). SPE Journal.
Thermodynamic Modeling of Hydrogen-Water System for High-pressure Storage and Mobility Applications
Ratnakar, R. R., Dindoruk, B., & Harvey, A. (2020). JNGSE, in Review.
On the Prediction of Gas Solubility in Brine Solutions with single or mixed salts: Applications to Gas Injection and CO2 Capture/Sequestration
Journal of Natural Gas Science and Engineering Volume 81, September 2020, 103450, Ratnakar, R. R., Venkatraman, A., Kalra, A., Dindoruk, B. (2020).
Effect of GOR on Gas Diffusivity in Reservoir-Fluid Systems
SPE Journal. Ratnakar, R. R., & Dindoruk, B. (February 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;
A Machine Learning Methodology based on Domain Knowledge Constraints for Well Data Integration and Well Production Prediction
SPE Reservoir Evaluation and Engineering, SPE 195690-PA (2019); Detlef Hohl, John Tolle, Jan Limbeck, Ligang Lu, and Mingqi Wu, Alvaro Bueno, Bianca Zadrozny, Breno Carvalho, Helon Hultmann, Jorge Guevara, and Matthias Kormaksson.
Prediction of Flow-Accelerated Corrosion/Erosion in High-Speed Ejectors Using a CFD Model
Das, Saurish, Sarkar, Suranjan, Lee, Gary H., and Junxiong, Ong. Proceedings of the . Volume 7: Operations, Applications, and Components. San Antonio, Texas, USA. July 14–19, 2019. V007T07A001. ASME.
Machine learning constrained with dimensional analysis and scaling laws: Simple, transferable and interpretable models of materials from small datasets
Narendra Kumar, Padmini Rajagopalan, Praveen Pankajakshan, Arnab Bhattacharyya, Suchismita Sanyal, Janakiraman Balachandran, and Umesh V. Waghmare, Chemistry of Materials 2019, 31, 2, 314-321 (June 2019).
Analysis and interpretation of pressure-decay tests for gas/bitumen and oil/bitumen systems: methodology development and application of new linearized and robust parameter-estimation technique using laboratory data
Ratnakar, R. R., & Dindoruk, B. (2019). SPE Journal, 24(03), June 2019 pp951-972
Accelerating Least Squares Imaging Using Deep Learning Techniques
Vamaraju J., Vila J., Araya-Polo M., Datta D., Sidahmed M. and Sen M..”, Machine Learning and the Physcial Sciences workshop at NeurIPS, Vancouver, Canada, Dec. 2019.
Neural Network Assisted Seismic Velocity Editing
S Simha, J Goudswaard, P Devarakota, P Somawanshi, SPE ADIPEC November 2019.
FaciesNet: Machine Learning Applications for Facies Classification in Well Logs
C Jaikla, P Devarakota, N Auchter, M Sidahmed, I Espejo, Machine Learning and the Physical Sciences Workshop at NeurIPS, December 2019.
The Effect of Lanthanum Doping and Oxygen Vacancy on Perovskite, Pyrochlore Oxide and Lanthanide Titanates: A First Principle Study
Amar Deep Pathak, Foram Thakkar, Suchismita Sanyal, Arian Nijmeijer and Hans Geerlings; MRS Advances 2019, 4 (20) 2019, pp 1167-1175
Ultrasonic Sonochemical Synthesis of Na0.44MnO2 Insertion Material for Sodium-ion Batteries
Ganesh S Shinde, Prem Depon Nayak, V Sai Pranav, Sandeep K Jain, Amar Deep Pathak, Suchismita Sanyal, Janakiraman Balachandran, Prabeer Barpanda, Journal of Power Sources 416 (2019) pp50–55
Equation of state of fluid methane from first principles with machine learning potentials
Max Veit, Sandeep Kumar Jain, Satyanarayana Bonakala, Indranil Rudra, Detlef Hohl, Gábor Csányi; Journal of chemical theory and computation, 2019, 15, 4
Measurement and Quantification of Diffusion-Induced Compositional Variations in Absence of Convective Mixing at Reservoir Conditions
Ratnakar, R. R., Dindoruk, B., Odikpo, G., & Lewis, E. J. (2019). Transport in Porous Media, 128(1), 29-43 (2019)
A New Technique for Simultaneous Measurement of Nanodarcy-Range Permeability and Adsorption Isotherms of Tight Rocks Using Magnetic Suspension Balance
SPE Journal, Ratnakar, R. R., & Dindoruk, B. (2019).
Stochastic clustering and pattern matching for real-time geosteering
Mingqi Wu*, Yinsen Miao*, Neilkunal Panchal, DR Kowal, M Vannucci, Jeremy Vila, and Faming Liang, Geophysics 84 (5), ID13-ID24 1 2019.
Deep Learning Applied to Fault Interpretation and Attribute Computation
Griffith, D., Zamanian, A., Vila J., Potter R. D., Vial-Aussavy, A. and Menapace, F., 2019 AAPG Annual Convention and Exhibition, San Antonio, TX May 2019.
Deep Learning Approach in Characterizing Salt Body on Seismic Images
Licheng Zhang, zhenzhen Zhong, Meng Zhang, Tianxia Zhao, Yue Wu, Cheng Zhan, , SEG International Exposition and 89th Annual Meeting, Aug, 2019.
Neural Networks Plus CFD Speed Up Simulation of Fluid Flow, Oil and Gas Facilities
Oil Gas Facilities, April 23rd, 2019
High-resolution multi-objective optimization of feedstock landscape design for hybrid first and second generation biorefineries
Trung H. Nguyen, Julien Granger, Deval Pandya, Keith Paustian, Applied Energy,Volume 238,2019,Pages 1484-1496,ISSN 0306-2619, https://doi.org/10.1016/j.apenergy.2019.01.117.
MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction
Soumya Sanyal, Janakiraman Balachandran, Naganand Yadati, Abhishek Kumar, Padmini Rajagopalan, Suchismita Sanyal, Partha Talukdar; 2018
Generation of ground truth images to validate micro-CT image-processing pipelines.
Berg, S., Saxena, N., Shaik, M., Pradhan, C. (2018). The Leading Edge, 37(6), 412-420.
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