Hector Klie
CEO @ DeepCast.ai | AI-driven Industrial Solutions, Technical Innovation
Research Expertise
About
Publications
On optimization algorithms for the reservoir oil well placement problem
Computational Geosciences / Aug 17, 2006
Bangerth, W., Klie, H., Wheeler, M. F., Stoffa, P. L., & Sen, M. K. (2006). On optimization algorithms for the reservoir oil well placement problem. Computational Geosciences, 10(3), 303–319. https://doi.org/10.1007/s10596-006-9025-7
Algebraic Multigrid Methods (AMG) for the Efficient Solution of Fully Implicit Formulations in Reservoir Simulation
All Days / Feb 26, 2007
Stüben, K., Clees, T., Klie, H., Lu, B., & Wheeler, M. F. (2007, February 26). Algebraic Multigrid Methods (AMG) for the Efficient Solution of Fully Implicit Formulations in Reservoir Simulation. All Days. https://doi.org/10.2118/105832-ms
Stochastic collocation and mixed finite elements for flow in porous media
Computer Methods in Applied Mechanics and Engineering / Aug 01, 2008
Ganis, B., Klie, H., Wheeler, M. F., Wildey, T., Yotov, I., & Zhang, D. (2008). Stochastic collocation and mixed finite elements for flow in porous media. Computer Methods in Applied Mechanics and Engineering, 197(43–44), 3547–3559. https://doi.org/10.1016/j.cma.2008.03.025
A new acoustic wave equation for modeling in anisotropic media
SEG Technical Program Expanded Abstracts 2001 / Jan 01, 2001
Klíe, H., & Toro, W. (2001, January). A new acoustic wave equation for modeling in anisotropic media. SEG Technical Program Expanded Abstracts 2001. https://doi.org/10.1190/1.1816296
Exploiting Capabilities of Many Core Platforms in Reservoir Simulation
All Days / Feb 21, 2011
Klie, H., Sudan, H., Li, R., & Saad, Y. (2011, February 21). Exploiting Capabilities of Many Core Platforms in Reservoir Simulation. All Days. https://doi.org/10.2118/141265-ms
An Autonomic Reservoir Framework for the Stochastic Optimization of Well Placement
Cluster Computing / Oct 01, 2005
Bangerth, W., Klie, H., Matossian, V., Parashar, M., & Wheeler, M. F. (2005). An Autonomic Reservoir Framework for the Stochastic Optimization of Well Placement. Cluster Computing, 8(4), 255–269. https://doi.org/10.1007/s10586-005-4093-3
Studies of Robust Two Stage Preconditioners for the Solution of Fully Implicit Multiphase Flow Problems
All Days / Feb 02, 2009
Al-Shaalan, T. M., Klie, H., Dogru, A. H., & Wheeler, M. F. (2009, February 2). Studies of Robust Two Stage Preconditioners for the Solution of Fully Implicit Multiphase Flow Problems. All Days. https://doi.org/10.2118/118722-ms
Solving Sparse Linear Systems on NVIDIA Tesla GPUs
Lecture Notes in Computer Science / Jan 01, 2009
Wang, M., Klie, H., Parashar, M., & Sudan, H. (2009). Solving Sparse Linear Systems on NVIDIA Tesla GPUs. In Computational Science – ICCS 2009 (pp. 864–873). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-01970-8_87
Physics-Based and Data-Driven Surrogates for Production Forecasting
SPE Reservoir Simulation Symposium / Jan 01, 2015
Klie, H. (2015). Physics-Based and Data-Driven Surrogates for Production Forecasting. SPE Reservoir Simulation Symposium. https://doi.org/10.2118/173206-ms
A Timestepping Scheme for Coupled Reservoir Flow and Geomechanics on Nonmatching Grids
All Days / Oct 09, 2005
Gai, X., Sun, S., Wheeler, M. F., & Klie, H. (2005, October 9). A Timestepping Scheme for Coupled Reservoir Flow and Geomechanics on Nonmatching Grids. All Days. https://doi.org/10.2118/97054-ms
Tensor-Krylov methods for solving large-scale systems of nonlinear equations.
Aug 01, 2004
Bader, B. (2004). Tensor-Krylov methods for solving large-scale systems of nonlinear equations. Office of Scientific and Technical Information (OSTI). https://doi.org/10.2172/919158
Models, methods and middleware for grid-enabled multiphysics oil reservoir management
Engineering with Computers / Sep 16, 2006
Klie, H., Bangerth, W., Gai, X., Wheeler, M. F., Stoffa, P. L., Sen, M., Parashar, M., Catalyurek, U., Saltz, J., & Kurc, T. (2006). Models, methods and middleware for grid-enabled multiphysics oil reservoir management. Engineering with Computers, 22(3–4), 349–370. https://doi.org/10.1007/s00366-006-0035-9
Deflation AMG Solvers for Highly Ill-Conditioned Reservoir Simulation Problems
All Days / Feb 26, 2007
Klie, H., Wheeler, M. F., Clees, T., & Stüben, K. (2007, February 26). Deflation AMG Solvers for Highly Ill-Conditioned Reservoir Simulation Problems. All Days. https://doi.org/10.2118/105820-ms
A Black-Box Stencil Interpolation Method to Accelerate Reservoir Simulations
All Days / Feb 18, 2013
Chen, H., Klie, H., & Wang, Q. (2013, February 18). A Black-Box Stencil Interpolation Method to Accelerate Reservoir Simulations. All Days. https://doi.org/10.2118/163614-ms
Projection-Based Approximation Methods for the Optimal Control of Smart Oil Fields
ECMOR X - 10th European Conference on the Mathematics of Oil Recovery / Jan 01, 2006
Gildin, E., Klie, H., Rodriguez, A., F. Wheeler, M., & H. Bishop, R. (2006). Projection-Based Approximation Methods for the Optimal Control of Smart Oil Fields. ECMOR X - 10th European Conference on the Mathematics of Oil Recovery. https://doi.org/10.3997/2214-4609.201402503
Parallel Well Location Optimization Using Stochastic Algorithms on the Grid Computational Framework
ECMOR IX - 9th European Conference on the Mathematics of Oil Recovery / Jan 01, 2004
Klie, H., Bangerth, W., Wheeler, M. F., Parashar, M., & Matossian, V. (2004). Parallel Well Location Optimization Using Stochastic Algorithms on the Grid Computational Framework. ECMOR IX - 9th European Conference on the Mathematics of Oil Recovery. https://doi.org/10.3997/2214-4609-pdb.9.b034
Data-Driven Prediction of Unconventional Shale-Reservoir Dynamics
SPE Journal / Aug 21, 2020
Klie, H., & Florez, H. (2020). Data-Driven Prediction of Unconventional Shale-Reservoir Dynamics. SPE Journal, 25(05), 2564–2581. https://doi.org/10.2118/193904-pa
Upscaling of Hydraulic Properties of Fractured Porous Media: Full Permeability Tensor and Continuum Scale Simulations
All Days / Apr 22, 2006
Rodriguez, A. A., Klie, H., Sun, S., Gai, X., Wheeler, M. F., & Florez, H. (2006, April 22). Upscaling of Hydraulic Properties of Fractured Porous Media: Full Permeability Tensor and Continuum Scale Simulations. All Days. https://doi.org/10.2118/100057-ms
Physics‐based preconditioners for solving PDEs on highly heterogeneous media
PAMM / Dec 01, 2007
Aksoylu, B., & Klie, H. (2007). Physics‐based preconditioners for solving PDEs on highly heterogeneous media. PAMM, 7(1), 1020703–1020704. Portico. https://doi.org/10.1002/pamm.200700324
A hybrid optimization approach for automated parameter estimation problems
PAMM / Dec 01, 2007
Argáez, M., Klie, H., Quintero, C., Velázquez, L., & Wheeler, M. (2007). A hybrid optimization approach for automated parameter estimation problems. PAMM, 7(1), 1062507–1062508. Portico. https://doi.org/10.1002/pamm.200700948
A Learning Computational Engine for History Matching
ECMOR X - 10th European Conference on the Mathematics of Oil Recovery / Jan 01, 2006
E. Banchs, R., Klie, H., Rodríguez, A., G. Thomas, S., & F. Wheeler, M. (2006). A Learning Computational Engine for History Matching. ECMOR X - 10th European Conference on the Mathematics of Oil Recovery. https://doi.org/10.3997/2214-4609.201402539
A Multiscale and Metamodel Simulation-Based Method for History Matching
ECMOR X - 10th European Conference on the Mathematics of Oil Recovery / Jan 01, 2006
A. Rodriguez, A., M. Klie, H., G. Thomas, S., & F. Wheeler, M. (2006). A Multiscale and Metamodel Simulation-Based Method for History Matching. ECMOR X - 10th European Conference on the Mathematics of Oil Recovery. https://doi.org/10.3997/2214-4609.201402495
Enabling Optimal Production Strategies under Uncertainties via Non-Intrusive Model Reduction Methods
ECMOR XIII - 13th European Conference on the Mathematics of Oil Recovery / Sep 10, 2012
Klie, H., Chen, H., Wang, Q., & Willcox, K. (2012, September 10). Enabling Optimal Production Strategies under Uncertainties via Non-Intrusive Model Reduction Methods. Proceedings. https://doi.org/10.3997/2214-4609.20143193
Analysis of real-time reservoir monitoring : reservoirs, strategies, & modeling.
Nov 01, 2006
Mani, S., van Bloemen Waanders, B., Cooper, S., Jakaboski, B., Normann, R., Jennings, J., Gilbert, B., Lake, L., Weiss, C., Lorenz, J., Elbring, G., Wheeler, M., Thomas, S., Rightley, M., Rodriguez, A., Klie, H., Banchs, R., Nunez, E., & Jablonowski, C. (2006). Analysis of real-time reservoir monitoring : reservoirs, strategies, & modeling. Office of Scientific and Technical Information (OSTI). https://doi.org/10.2172/966614
Ellipsoidal Approximation of Velocities in Orthorhombic Media
5th International Congress of the Brazilian Geophysical Society / Jan 01, 1997
Contreras, P., Klíe, H., Mora, C., & J. Michelena, reinaldo. (1997). Ellipsoidal Approximation of Velocities in Orthorhombic Media. 5th International Congress of the Brazilian Geophysical Society. https://doi.org/10.3997/2214-4609-pdb.299.87
5. Methods of Secant Type
Methods for Solving Systems of Nonlinear Equations / Jan 01, 1998
5. Methods of Secant Type. (1998). In Methods for Solving Systems of Nonlinear Equations (pp. 45–58). Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611970012.ch5
Applications of the control volume function approximation method to reservoir simulations
Fluid Flow and Transport in Porous Media: Mathematical and Numerical Treatment / Jan 01, 2002
Huan, G., Chen, Z., & Li, B. (2002). Applications of the control volume function approximation method to reservoir simulations. Contemporary Mathematics; American Mathematical Society. https://doi.org/10.1090/conm/295/05020
Frequency-domain Modeling of Pseudo-acoustic Wave Propagation in 2D Tilted Transversely Isotropic Media
Proceedings / Jun 01, 2015
Du, Q. Z., Guo, C. F., Wang, G. C., & Yang, F. S. (2015, June 1). Frequency-domain Modeling of Pseudo-acoustic Wave Propagation in 2D Tilted Transversely Isotropic Media. 77th EAGE Conference and Exhibition 2015. https://doi.org/10.3997/2214-4609.201412699
Numerical Comparisons of Path-Following Strategies for a Primal-Dual Interior-Point Method for Nonlinear Programming
Journal of Optimization Theory and Applications / Aug 01, 2002
Argáez, M., Tapia, R., & Velázquez, L. (2002). Numerical Comparisons of Path-Following Strategies for a Primal-Dual Interior-Point Method for Nonlinear Programming. Journal of Optimization Theory and Applications, 114(2), 255–272. https://doi.org/10.1023/a:1016047200413
Dynamic Data-Driven Systems Approach for Simulation Based Optimizations
Computational Science – ICCS 2007 / Jan 01, 2007
Kurc, T., Zhang, X., Parashar, M., Klie, H., Wheeler, M. F., Catalyurek, U., & Saltz, J. (2007). Dynamic Data-Driven Systems Approach for Simulation Based Optimizations. In Lecture Notes in Computer Science (pp. 1213–1221). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-72584-8_158
Stochastic Subspace Projection Methods for Efficient Multiphase Flow Uncertainty Assessment
ECMOR X - 10th European Conference on the Mathematics of Oil Recovery / Jan 01, 2006
M. Klie, H., F. Wheeler, M., Liu, G., & Zhang, D. (2006). Stochastic Subspace Projection Methods for Efficient Multiphase Flow Uncertainty Assessment. ECMOR X - 10th European Conference on the Mathematics of Oil Recovery. https://doi.org/10.3997/2214-4609.201402510
Nonlinear Krylov-Secant Solvers
Jan 01, 2006
Klie, H., & Wheeler, M. F. (2006). Nonlinear Krylov-Secant Solvers. Defense Technical Information Center. https://doi.org/10.21236/ada446287
Optimal Learning of Field Operation and Well Placement in the Presence of Uncertainty
Day 2 Mon, December 07, 2015 / Dec 06, 2015
Klie, H., Agreda, A., & Likanapaisal, P. (2015, December 6). Optimal Learning of Field Operation and Well Placement in the Presence of Uncertainty. Day 2 Mon, December 07, 2015. https://doi.org/10.2523/iptc-18336-ms
Automated Lease Operating Statements for Cost Optimization and Reserve Evaluation Using Artificial Intelligence
Day 3 Wed, October 28, 2020 / Oct 19, 2020
Klie, A., Klie, H., Vuong, D., Chaban, F., & Chaban, N. (2020, October 19). Automated Lease Operating Statements for Cost Optimization and Reserve Evaluation Using Artificial Intelligence. Day 3 Wed, October 28, 2020. https://doi.org/10.2118/201710-ms
A multigrid solver for boundary value problems using programmable graphics hardware
ACM SIGGRAPH 2005 Courses on - SIGGRAPH '05 / Jan 01, 2005
Goodnight, N., Woolley, C., Lewin, G., Luebke, D., & Humphreys, G. (2005). A multigrid solver for boundary value problems using programmable graphics hardware. ACM SIGGRAPH 2005 Courses on - SIGGRAPH ’05. https://doi.org/10.1145/1198555.1198784
Mathematical Aspects of a Fast IMFES Formulation for Solving Three-Phase Black Oil Equations
ECMOR VIII - 8th European Conference on the Mathematics of Oil Recovery / Jan 01, 2002
Buitrago, S., & Klie, H. (2002). Mathematical Aspects of a Fast IMFES Formulation for Solving Three-Phase Black Oil Equations. ECMOR VIII - 8th European Conference on the Mathematics of Oil Recovery. https://doi.org/10.3997/2214-4609.201405952
An efficient and accurate conversion point formula for anisotropic CCP stacking
SEG Technical Program Expanded Abstracts 2000 / Jan 01, 2000
Klíe, H. (2000, January). An efficient and accurate conversion point formula for anisotropic CCP stacking. SEG Technical Program Expanded Abstracts 2000. https://doi.org/10.1190/1.1815588
Dynamic Data-Driven Application Systems for Reservoir Simulation-Based Optimization: Lessons Learned and Future Trends
Handbook of Dynamic Data Driven Applications Systems / Jan 01, 2023
Parashar, M., Kurc, T., Klie, H., Wheeler, M. F., Saltz, J. H., Jammoul, M., & Dong, R. (2023). Dynamic Data-Driven Application Systems for Reservoir Simulation-Based Optimization: Lessons Learned and Future Trends. In Handbook of Dynamic Data Driven Applications Systems (pp. 287–330). Springer International Publishing. https://doi.org/10.1007/978-3-031-27986-7_11
Shale Oil and Shale Gas Resources
May 23, 2020
Shale Oil and Shale Gas Resources. (2020). MDPI. https://doi.org/10.3390/books978-3-03928-876-2
Linear Stability Analysis of Time-Dependent Electrodeposition in Charged Porous Media
ECS Meeting Abstracts / May 01, 2019
Khoo, E., Zhao, H., & Bazant, M. Z. (2019). Linear Stability Analysis of Time-Dependent Electrodeposition in Charged Porous Media. ECS Meeting Abstracts, MA2019-01(22), 1140–1140. https://doi.org/10.1149/ma2019-01/22/1140
Video: Adjoint optimization of fluid mixing
71th Annual Meeting of the APS Division of Fluid Dynamics - Gallery of Fluid Motion / Nov 18, 2018
Eggl, M., & Schmid, P. (2018, November 18). Video: Adjoint optimization of fluid mixing. 71th Annual Meeting of the APS Division of Fluid Dynamics - Gallery of Fluid Motion. https://doi.org/10.1103/aps.dfd.2018.gfm.v0050
A multiscale method for parameter estimation in reservoir simulation
PAMM / Dec 01, 2007
Rodriguez, A., Klie, H., & Wheeler, M. (2007). A multiscale method for parameter estimation in reservoir simulation. PAMM, 7(1), 1151001–1151002. Portico. https://doi.org/10.1002/pamm.200700984
Stochastic Krylov subspace methods for flow in random porous media
PAMM / Dec 01, 2007
Klie, H., Rodriguez, A., & Wheeler, M. F. (2007). Stochastic Krylov subspace methods for flow in random porous media. PAMM, 7(1), 1140403–1140404. Portico. https://doi.org/10.1002/pamm.200701118
Multiscale deflation solvers for flow in porous media
PAMM / Dec 01, 2007
Klie, H., Rodriguez, A., & Wheeler, M. F. (2007). Multiscale deflation solvers for flow in porous media. PAMM, 7(1), 1020301–1020302. Portico. https://doi.org/10.1002/pamm.200700898
SPSA for oil‐parameter estimation and reservoir management
PAMM / Dec 01, 2007
Rodriguez, A., Klie, H., & Wheeler, M. (2007). SPSA for oil‐parameter estimation and reservoir management. PAMM, 7(1), 1062505–1062506. Portico. https://doi.org/10.1002/pamm.200700929
The Origin of the Earth Inner Core's Seismic Anisotropy
Chinese Journal of Geophysics / May 01, 2000
The Origin of the Earth Inner Core’s Seismic Anisotropy. (2000). Chinese Journal of Geophysics, 43(3), 338–347. Portico. https://doi.org/10.1002/cjg2.43
Data Connectivity Inference and Physics-AI Models For Field Optimization
Proceedings of the 2020 Latin America Unconventional Resources Technology Conference / Jan 01, 2020
Klie, H., Klie, A., & Yang, B. (2020). Data Connectivity Inference and Physics-AI Models For Field Optimization. Proceedings of the 2020 Latin America Unconventional Resources Technology Conference. https://doi.org/10.15530/urtec-2020-1098
Transfer Learning for Scalable Optimization of Unconventional Field Operations
Proceedings of the 8th Unconventional Resources Technology Conference / Jan 01, 2020
Klie, H., Yan, B., & Klie, A. (2020). Transfer Learning for Scalable Optimization of Unconventional Field Operations. Proceedings of the 8th Unconventional Resources Technology Conference. https://doi.org/10.15530/urtec-2020-2719
Leveraging US Unconventional Data Analytics Learnings in Vaca Muerta Shale Formation.
Day 3 Wed, June 05, 2019 / Jun 03, 2019
Primera, A., Klie, H., Klie, A., & Quesada, M. (2019, June 3). Leveraging US Unconventional Data Analytics Learnings in Vaca Muerta Shale Formation. Day 3 Wed, June 05, 2019. https://doi.org/10.2118/195511-ms
Data-Driven Discovery of Unconventional Shale Reservoir Dynamics
Day 1 Wed, April 10, 2019 / Mar 29, 2019
Klie, H., & Florez, H. (2019, March 29). Data-Driven Discovery of Unconventional Shale Reservoir Dynamics. Day 1 Wed, April 10, 2019. https://doi.org/10.2118/193904-ms
Improving Field Development Decisions in the Vaca Muerta Shale Formation by Efficient Integration of Data, AI, and Physics
Proceedings of the 7th Unconventional Resources Technology Conference / Jan 01, 2019
Klie, H., Klie, A., Rodriguez, A., Monteagudo, J., Primera, A., & Quesada, M. (2019). Improving Field Development Decisions in the Vaca Muerta Shale Formation by Efficient Integration of Data, AI, and Physics. Proceedings of the 7th Unconventional Resources Technology Conference. https://doi.org/10.15530/urtec-2019-938
Middle East Steamflood Field Optimization Demonstration Project
Day 3 Wed, November 13, 2019 / Nov 11, 2019
Behm, E., Al Asimi, M., Al Maskari, S., Juna, W., Klie, H., Le, D., Lutidze, G., Rastegar, R., Reynolds, A., Tathed, V., Younis, R., & Zhang, Y. (2019, November 11). Middle East Steamflood Field Optimization Demonstration Project. Day 3 Wed, November 13, 2019. https://doi.org/10.2118/197751-ms
Data-driven Model Inference and its Application to Optimal Control under Reservoir Uncertainty
Proceedings / Sep 08, 2014
Klie, H., Chen, H., & Wang, Q. (2014, September 8). Data-driven Model Inference and its Application to Optimal Control under Reservoir Uncertainty. ECMOR XIV - 14th European Conference on the Mathematics of Oil Recovery. https://doi.org/10.3997/2214-4609.20141865
Reduced-order modeling for thermal recovery processes
Computational Geosciences / Sep 01, 2013
Rousset, M. A. H., Huang, C. K., Klie, H., & Durlofsky, L. J. (2013). Reduced-order modeling for thermal recovery processes. Computational Geosciences, 18(3–4), 401–415. https://doi.org/10.1007/s10596-013-9369-8
Unlocking Fast Reservoir Predictions via Non-Intrusive Reduced Order Models
All Days / Feb 18, 2013
Klie, H. (2013, February 18). Unlocking Fast Reservoir Predictions via Non-Intrusive Reduced Order Models. All Days. https://doi.org/10.2118/163584-ms
Reduced-order Modeling for Thermal Recovery Processes
ECMOR XIII - 13th European Conference on the Mathematics of Oil Recovery / Sep 10, 2012
Rousset, M. A. H., Huang, C. K., Klie, H., & Durlofsky, L. J. (2012, September 10). Reduced-order Modeling for Thermal Recovery Processes. Proceedings. https://doi.org/10.3997/2214-4609.20143192
A Parallel Stochastic Framework for Reservoir Characterization and History Matching
Journal of Applied Mathematics / Jan 01, 2011
Thomas, S. G., Klie, H. M., Rodriguez, A. A., & Wheeler, M. F. (2011). A Parallel Stochastic Framework for Reservoir Characterization and History Matching. Journal of Applied Mathematics, 2011, 1–19. https://doi.org/10.1155/2011/535484
Dynamic Decision and Data-Driven Strategies for the Optimal Management of Subsurface Geo-Systems
Journal of Algorithms & Computational Technology / Dec 01, 2011
Parashar, M., Klie, H., Kurc, T., Catalyurek, U., Saltz, J., & Wheeler, M. F. (2011). Dynamic Decision and Data-Driven Strategies for the Optimal Management of Subsurface Geo-Systems. Journal of Algorithms & Computational Technology, 5(4), 645–665. https://doi.org/10.1260/1748-3018.5.4.645
High Performance Manycore Solvers for Reservoir Simulation
Proceedings / Sep 06, 2010
Sudan, H., Klie, H., Li, R., & Saad, Y. (2010, September 6). High Performance Manycore Solvers for Reservoir Simulation. 12th European Conference on the Mathematics of Oil Recovery. https://doi.org/10.3997/2214-4609.20144961
Parallel Sparsified Solvers for Reservoir Simulation
Proceedings / Sep 06, 2010
Klie, H. M. (2010, September 6). Parallel Sparsified Solvers for Reservoir Simulation. 12th European Conference on the Mathematics of Oil Recovery. https://doi.org/10.3997/2214-4609.20144960
A family of physics-based preconditioners for solving elliptic equations on highly heterogeneous media
Applied Numerical Mathematics / Jun 01, 2009
Aksoylu, B., & Klie, H. (2009). A family of physics-based preconditioners for solving elliptic equations on highly heterogeneous media. Applied Numerical Mathematics, 59(6), 1159–1186. https://doi.org/10.1016/j.apnum.2008.06.002
Towards a New Generation of Physics-Driven Solvers for Black-Oil and Compositional Flow Simulation
All Days / Feb 02, 2009
Klie, H., Monteagudo, J., Hoteit, H., & Rodriguez, A. (2009, February 2). Towards a New Generation of Physics-Driven Solvers for Black-Oil and Compositional Flow Simulation. All Days. https://doi.org/10.2118/118752-ms
A Novel Percolative Aggregation Approach for Solving Highly Ill-Conditioned Systems
Proceedings / Sep 08, 2008
Klie, H., & Wheeler, M. F. (2008, September 8). A Novel Percolative Aggregation Approach for Solving Highly Ill-Conditioned Systems. 11th European Conference on the Mathematics of Oil Recovery. https://doi.org/10.3997/2214-4609.20146369
Towards a rigorously justified algebraic preconditioner for high-contrast diffusion problems
Computing and Visualization in Science / Mar 27, 2008
Aksoylu, B., Graham, I. G., Klie, H., & Scheichl, R. (2008). Towards a rigorously justified algebraic preconditioner for high-contrast diffusion problems. Computing and Visualization in Science, 11(4–6), 319–331. https://doi.org/10.1007/s00791-008-0105-1
A neural stochastic multiscale optimization framework for sensor-based parameter estimation
Integrated Computer-Aided Engineering / May 13, 2007
Banchs, R. E., Klie, H., Rodriguez, A., Thomas, S. G., & Wheeler, M. F. (2007). A neural stochastic multiscale optimization framework for sensor-based parameter estimation. Integrated Computer-Aided Engineering, 14(3), 213–223. https://doi.org/10.3233/ica-2007-14302
Assessing Multiple Resolution Scales in History Matching With Metamodels
All Days / Feb 26, 2007
Rodriguez, A. A., Klie, H., Wheeler, M. F., & Banchs, R. (2007, February 26). Assessing Multiple Resolution Scales in History Matching With Metamodels. All Days. https://doi.org/10.2118/105824-ms
Integrated time‐lapse seismic inversion for reservoir petrophysics and fluid‐flow imaging
SEG Technical Program Expanded Abstracts 2007 / Jan 01, 2007
Hong, T., Sen, M. K., Stoffa, P. L., Klie, H., Thomas, S. G., Rodriguez, A., & Wheeler, M. F. (2007, January). Integrated time‐lapse seismic inversion for reservoir petrophysics and fluid‐flow imaging. SEG Technical Program Expanded Abstracts 2007. https://doi.org/10.1190/1.2792872
A Neural Stochastic Optimization Framework for Oil Parameter Estimation
Intelligent Data Engineering and Automated Learning – IDEAL 2006 / Jan 01, 2006
Banchs, R. E., Klie, H., Rodriguez, A., Thomas, S. G., & Wheeler, M. F. (2006). A Neural Stochastic Optimization Framework for Oil Parameter Estimation. In Lecture Notes in Computer Science (pp. 147–154). Springer Berlin Heidelberg. https://doi.org/10.1007/11875581_18
Assessing the value of sensor information in 4‐D seismic history matching
SEG Technical Program Expanded Abstracts 2006 / Jan 01, 2006
Klie, H., Rodriguez, A., Thomas, S. G., Wheeler, M. F., & Banchs, R. (2006, January). Assessing the value of sensor information in 4‐D seismic history matching. SEG Technical Program Expanded Abstracts 2006. https://doi.org/10.1190/1.2370204
Development of Low-Order Controllers for High-Order Reservoir Models and Smart Wells
All Days / Sep 24, 2006
Gildin, E., Klie, H., Rodriguez, A., Wheeler, M. F., & Bishop, R. H. (2006, September 24). Development of Low-Order Controllers for High-Order Reservoir Models and Smart Wells. All Days. https://doi.org/10.2118/102214-ms
Towards Dynamic Data-Driven Management of the Ruby Gulch Waste Repository
Computational Science – ICCS 2006 / Jan 01, 2006
Parashar, M., Matossian, V., Klie, H., Thomas, S. G., Wheeler, M. F., Kurc, T., Saltz, J., & Versteeg, R. (2006). Towards Dynamic Data-Driven Management of the Ruby Gulch Waste Repository. In Lecture Notes in Computer Science (pp. 384–392). Springer Berlin Heidelberg. https://doi.org/10.1007/11758532_52
An analysis of flow‐simulation scales and seismic response
SEG Technical Program Expanded Abstracts 2005 / Jan 01, 2005
Stoffa, P. L., Sen, M. K., Seifoullaev, R., Klie, H., Gai, X., Bangerth, W., Rungamornrat, J., & Wheeler, M. F. (2005, January). An analysis of flow‐simulation scales and seismic response. SEG Technical Program Expanded Abstracts 2005. https://doi.org/10.1190/1.2147965
Application of Grid-enabled technologies for solving optimization problems in data-driven reservoir studies
Future Generation Computer Systems / Jan 01, 2005
Parashar, M., Klie, H., Catalyurek, U., Kurc, T., Bangerth, W., Matossian, V., Saltz, J., & Wheeler, M. F. (2005). Application of Grid-enabled technologies for solving optimization problems in data-driven reservoir studies. Future Generation Computer Systems, 21(1), 19–26. https://doi.org/10.1016/j.future.2004.09.028
Fully integrated reservoir flow, geomechanics and seismic modeling: a tool for better reservoir characterization and geomechanical prediction using 4D seismic
SEG Technical Program Expanded Abstracts 2005 / Jan 01, 2005
Gai, X., Rungamornrat, J., Klie, H., Bangerth, W., Wheeler, M. F., Stoffa, P. L., Sen, M. K., & Seifoullaev, R. (2005, January). Fully integrated reservoir flow, geomechanics and seismic modeling: a tool for better reservoir characterization and geomechanical prediction using 4D seismic. SEG Technical Program Expanded Abstracts 2005. https://doi.org/10.1190/1.2147941
Krylov-Secant Methods for Accelerating the Solution of Fully Implicit Formulations
All Days / Jan 31, 2005
Klie, H., & Wheeler, M. F. (2005, January 31). Krylov-Secant Methods for Accelerating the Solution of Fully Implicit Formulations. All Days. https://doi.org/10.2118/92863-ms
Towards Dynamic Data-Driven Optimization of Oil Well Placement
Lecture Notes in Computer Science / Jan 01, 2005
Parashar, M., Matossian, V., Bangerth, W., Klie, H., Rutt, B., Kurc, T., Catalyurek, U., Saltz, J., & Wheeler, M. F. (2005). Towards Dynamic Data-Driven Optimization of Oil Well Placement. In Computational Science – ICCS 2005 (pp. 656–663). Springer Berlin Heidelberg. https://doi.org/10.1007/11428848_85
Application of Grid-Enabled Technologies for Solving Optimization Problems in Data-Driven Reservoir Studies
Computational Science - ICCS 2004 / Jan 01, 2004
Parashar, M., Klie, H., Catalyurek, U., Kurc, T., Matossian, V., Saltz, J., & Wheeler, M. F. (2004). Application of Grid-Enabled Technologies for Solving Optimization Problems in Data-Driven Reservoir Studies. In Lecture Notes in Computer Science (pp. 805–812). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-24688-6_104
Estimation of elastic constants from ellipsoidal velocities in orthorhombic media
SEG Technical Program Expanded Abstracts 1998 / Jan 01, 1998
Contreras, P., Klíe, H., & Michelena, R. J. (1998, January). Estimation of elastic constants from ellipsoidal velocities in orthorhombic media. SEG Technical Program Expanded Abstracts 1998. https://doi.org/10.1190/1.1820194
Education
Ph.D., Computational Science and Engineering / May, 1997
Master of Arts, Computational and Applied Mathematics / May, 1995
Simón Bolívar University
Master of Science, Computer Science / May, 1991
Simón Bolívar University
Bachelor, Computer Science / December, 1988
Experience
DeepCast, LLC
CEO / May, 2017 — Present
ConocoPhillips Company
Staff Data Scientist / March, 2008 — April, 2016
Sanchez Oil and Gas
Director of Enterprise Data Solutions / March, 2016 — March, 2017
Design corporate data science platform, lead R&D in machine learning and AI to generate highly predictive models for field applications
Rice University
Adjunct Professor / January, 2016 — Present
Teach and mentor students and elevate industrial visibility and engagement of the Dept. of Applied Mathematics and Operation Research
The University of Texas at Austin
Associate Director and Sr. Research Associate / July, 2003 — February, 2008
Write research proposals for federal funding , lead research and promote industrial engagement at in the Center for Subsurface Modeling, Oden Institute for Computational Engineering and Science
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