| From streamlines to Fast Marching: Rapid simulation and performance assessment of shale-gas reservoirs by use of diffusive time of flight as a spatial coordinate Y Zhang, N Bansal, Y Fujita, A Datta-Gupta, MJ King, S Sankaran SPE Journal 21 (05), 1883-1898, 2016 | 101 | 2016 |
| Method for stress and stability related measurements in boreholes MJ Economides, WFJ Deeg, P Valko, M Nikolaou, S Sankaran US Patent 7,006,918, 2006 | 67 | 2006 |
| Application of machine learning for production forecasting for unconventional resources C Zhan, S Sankaran, V LeMoine, J Graybill, DOS Mey Unconventional Resources Technology Conference, Denver, Colorado, 22-24 July …, 2019 | 62 | 2019 |
| Systems and methods for optimization of real time production operations G Mijares, A Garcia, S Sankaran, J Rodriguez, L Saputelli, A Awasthi, ... US Patent 8,396,826, 2013 | 61 | 2013 |
| System and method for stress and stability related measurements in boreholes MJ Economides, WFJ Deeg, P Valko, M Nikolaou, S Sankaran US Patent 6,834,233, 2004 | 52 | 2004 |
| Real-time hydraulic fracturing pressure prediction with machine learning Y Ben, M Perrotte, M Ezzatabadipour, I Ali, S Sankaran, C Harlin, D Cao SPE Hydraulic Fracturing Technology Conference and Exhibition, D031S008R003, 2020 | 45 | 2020 |
| The promise and challenges of digital oilfield solutions—lessons learned from global implementations and future directions S Sankaran, J Lugo, A Awasthi, G Mijares SPE Digital Energy Conference and Exhibition, SPE-122855-MS, 2009 | 36 | 2009 |
| Efficient modeling and history matching of shale oil reservoirs using the fast marching method: field application and validation A Iino, A Vyas, J Huang, A Datta-Gupta, Y Fujita, N Bansal, S Sankaran SPE Western Regional Meeting, D051S016R004, 2017 | 34 | 2017 |
| Realizing Value From Implementing i-field™ in Agbami—A Deepwater Greenfield in an Offshore Nigeria Development S Sankaran, M Olise, D Meinert, A Awasthi SPE Economics & Management 3 (01), 31-44, 2011 | 32 | 2011 |
| From streamlines to fast marching: rapid simulation and performance assessment of shale gas reservoirs using diffusive time of flight as a spatial coordinate Y Zhang, N Bansal, Y Fujita, A Datta-Gupta, MJ King, S Sankaran SPE Unconventional Resources Conference/Gas Technology Symposium, D031S007R002, 2014 | 30 | 2014 |
| Rapid compositional simulation and history matching of shale oil reservoirs using the fast marching method A Iino, A Vyas, J Huang, A Datta-Gupta, Y Fujita, S Sankaran SPE/AAPG/SEG Unconventional Resources Technology Conference, URTEC-2693139-MS, 2017 | 29 | 2017 |
| A Consistent Approach Toward Reservoir Simulation at Different Time Scales M Nikolaou, AS Cullick, L Saputelli, G Mijares, S Sankaran, L Reis SPE Intelligent Energy International Conference and Exhibition, SPE-99451-MS, 2006 | 27 | 2006 |
| Implementing i-field Initiatives in a Deepwater Green Field, Offshore Nigeria OS Adeyemi, SG Shryock, S Sankaran, O Hostad, J Gontijo SPE Annual Technical Conference and Exhibition?, SPE-115367-MS, 2008 | 25 | 2008 |
| Real time operations in asset performance workflows A Garcia, S Sankaran, G Mijares, J Rodríguez, L Saputelli SPE Intelligent Energy International Conference and Exhibition, SPE-111990-MS, 2008 | 25 | 2008 |
| Managing risk and uncertainty in the visualization of production scenarios L Saputelli, G Mijares, JA Rodriguez, S Sankaran, L Garibaldi, K Revana SPE Hydrocarbon Economics and Evaluation Symposium, SPE-107562-MS, 2007 | 24 | 2007 |
| Hybrid physics and data-driven modeling for unconventional field development and its application to US onshore basin J Park, A Datta-Gupta, A Singh, S Sankaran Journal of Petroleum Science and Engineering 206, 109008, 2021 | 23 | 2021 |
| Closing the gap between reservoir simulation and production optimization A Awasthi, S Sankaran, M Nikolaou, L Saputelli, G Mijares SPE Digital Energy Conference and Exhibition, SPE-107463-MS, 2007 | 22 | 2007 |
| Implementing an integrated production surveillance and optimization system in an unconventional field D Molinari, S Sankaran, D Symmons, M Perrotte, E Wolfram, I Krane, ... Unconventional Resources Technology Conference, Denver, Colorado, 22-24 July …, 2019 | 20 | 2019 |
| A Hybrid Data and Physics Modeling Approach Towards Unconventional Well Performance Analysis D Molinari, S Sankaran, D Symmons, M Perrotte SPE Annual Technical Conference and Exhibition?, D031S043R002, 2019 | 19 | 2019 |
| A Reduced Physics Modeling Approach to Understand Multiphase Well Production Performance for Unconventional Reservoirs D Molinari, S Sankaran Unconventional Resources Technology Conference (URTeC) 5023, 2021 | 17 | 2021 |
Michael NikolaouProfessor, Chemical & Biomolecular Engineering - Petroleum Engineering, University of Houston在 uh.edu 的电子邮件经过验证
