Hector Klie

CEO @ DeepCast.ai | AI-driven Industrial Solutions, Technical Innovation

Houston, Texas, United States of America

Research Expertise

Artificial Intelligence
Machine Learning
Data Science
optimization
Computational Theory and Mathematics
Computers in Earth Sciences
Computational Mathematics
Computer Science Applications
Computer Graphics and Computer-Aided Design
Software
Mechanical Engineering
Mechanics of Materials
Computational Mechanics
Computer Networks and Communications
Theoretical Computer Science
Computer Vision and Pattern Recognition
Modeling and Simulation
Hardware and Architecture
Numerical Analysis
Applied Mathematics
Energy Engineering and Power Technology
Geotechnical Engineering and Engineering Geology
Management Science and Operations Research
Control and Optimization

About

**Results-driven AI leader with 20+ years of success spearheading model development and optimization initiatives in the energy industry and academia. Proven track record in leveraging computational data science, scientific machine learning, and AI to drive breakthrough physics-data solutions and deliver tangible business value. Adept at translating complex scientific concepts into robust AI models. Skilled in numerical simulation, scientific machine learning, and bilingual communication to optimize project outcomes.**

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Publications

On optimization algorithms for the reservoir oil well placement problem
Computational Geosciences
2006
Algebraic Multigrid Methods (AMG) for the Efficient Solution of Fully Implicit Formulations in Reservoir Simulation
All Days
2007
Stochastic collocation and mixed finite elements for flow in porous media
Computer Methods in Applied Mechanics and Engineering
2008
A new acoustic wave equation for modeling in anisotropic media
SEG Technical Program Expanded Abstracts 2001
2001
Exploiting Capabilities of Many Core Platforms in Reservoir Simulation
All Days
2011
An Autonomic Reservoir Framework for the Stochastic Optimization of Well Placement
Cluster Computing
2005
Studies of Robust Two Stage Preconditioners for the Solution of Fully Implicit Multiphase Flow Problems
All Days
2009
Solving Sparse Linear Systems on NVIDIA Tesla GPUs
Lecture Notes in Computer Science
2009
Physics-Based and Data-Driven Surrogates for Production Forecasting
SPE Reservoir Simulation Symposium
2015
A Timestepping Scheme for Coupled Reservoir Flow and Geomechanics on Nonmatching Grids
All Days
2005
Tensor-Krylov methods for solving large-scale systems of nonlinear equations.
Unknown Venue
2004
Models, methods and middleware for grid-enabled multiphysics oil reservoir management
Engineering with Computers
2006
Deflation AMG Solvers for Highly Ill-Conditioned Reservoir Simulation Problems
All Days
2007
A Black-Box Stencil Interpolation Method to Accelerate Reservoir Simulations
All Days
2013
Projection-Based Approximation Methods for the Optimal Control of Smart Oil Fields
ECMOR X - 10th European Conference on the Mathematics of Oil Recovery
2006
Parallel Well Location Optimization Using Stochastic Algorithms on the Grid Computational Framework
ECMOR IX - 9th European Conference on the Mathematics of Oil Recovery
2004
Data-Driven Prediction of Unconventional Shale-Reservoir Dynamics
SPE Journal
2020
Upscaling of Hydraulic Properties of Fractured Porous Media: Full Permeability Tensor and Continuum Scale Simulations
All Days
2006
Physics‐based preconditioners for solving PDEs on highly heterogeneous media
PAMM
2007
A hybrid optimization approach for automated parameter estimation problems
PAMM
2007
A Learning Computational Engine for History Matching
ECMOR X - 10th European Conference on the Mathematics of Oil Recovery
2006
A Multiscale and Metamodel Simulation-Based Method for History Matching
ECMOR X - 10th European Conference on the Mathematics of Oil Recovery
2006
Enabling Optimal Production Strategies under Uncertainties via Non-Intrusive Model Reduction Methods
ECMOR XIII - 13th European Conference on the Mathematics of Oil Recovery
2012
Analysis of real-time reservoir monitoring : reservoirs, strategies, & modeling.
Unknown Venue
2006
Ellipsoidal Approximation of Velocities in Orthorhombic Media
5th International Congress of the Brazilian Geophysical Society
1997
5. Methods of Secant Type
Methods for Solving Systems of Nonlinear Equations
1998
Applications of the control volume function approximation method to reservoir simulations
Fluid Flow and Transport in Porous Media: Mathematical and Numerical Treatment
2002
Frequency-domain Modeling of Pseudo-acoustic Wave Propagation in 2D Tilted Transversely Isotropic Media
Proceedings
2015
Numerical Comparisons of Path-Following Strategies for a Primal-Dual Interior-Point Method for Nonlinear Programming
Journal of Optimization Theory and Applications
2002
Dynamic Data-Driven Systems Approach for Simulation Based Optimizations
Computational Science – ICCS 2007
2007
Stochastic Subspace Projection Methods for Efficient Multiphase Flow Uncertainty Assessment
ECMOR X - 10th European Conference on the Mathematics of Oil Recovery
2006
Nonlinear Krylov-Secant Solvers
Unknown Venue
2006
Optimal Learning of Field Operation and Well Placement in the Presence of Uncertainty
Day 2 Mon, December 07, 2015
2015
Automated Lease Operating Statements for Cost Optimization and Reserve Evaluation Using Artificial Intelligence
Day 3 Wed, October 28, 2020
2020
A multigrid solver for boundary value problems using programmable graphics hardware
ACM SIGGRAPH 2005 Courses on - SIGGRAPH '05
2005
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
2002
An efficient and accurate conversion point formula for anisotropic CCP stacking
SEG Technical Program Expanded Abstracts 2000
2000
Dynamic Data-Driven Application Systems for Reservoir Simulation-Based Optimization: Lessons Learned and Future Trends
Handbook of Dynamic Data Driven Applications Systems
2023
Shale Oil and Shale Gas Resources
Unknown Venue
2020
Linear Stability Analysis of Time-Dependent Electrodeposition in Charged Porous Media
ECS Meeting Abstracts
2019
Video: Adjoint optimization of fluid mixing
71th Annual Meeting of the APS Division of Fluid Dynamics - Gallery of Fluid Motion
2018
A multiscale method for parameter estimation in reservoir simulation
PAMM
2007
Stochastic Krylov subspace methods for flow in random porous media
PAMM
2007
Multiscale deflation solvers for flow in porous media
PAMM
2007
SPSA for oil‐parameter estimation and reservoir management
PAMM
2007
The Origin of the Earth Inner Core's Seismic Anisotropy
Chinese Journal of Geophysics
2000
Data Connectivity Inference and Physics-AI Models For Field Optimization
Proceedings of the 2020 Latin America Unconventional Resources Technology Conference
2020
Transfer Learning for Scalable Optimization of Unconventional Field Operations
Proceedings of the 8th Unconventional Resources Technology Conference
2020
Leveraging US Unconventional Data Analytics Learnings in Vaca Muerta Shale Formation.
Day 3 Wed, June 05, 2019
2019
Data-Driven Discovery of Unconventional Shale Reservoir Dynamics
Day 1 Wed, April 10, 2019
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
2019
Middle East Steamflood Field Optimization Demonstration Project
Day 3 Wed, November 13, 2019
2019
Data-driven Model Inference and its Application to Optimal Control under Reservoir Uncertainty
Proceedings
2014
Reduced-order modeling for thermal recovery processes
Computational Geosciences
2013
Unlocking Fast Reservoir Predictions via Non-Intrusive Reduced Order Models
All Days
2013
Reduced-order Modeling for Thermal Recovery Processes
ECMOR XIII - 13th European Conference on the Mathematics of Oil Recovery
2012
A Parallel Stochastic Framework for Reservoir Characterization and History Matching
Journal of Applied Mathematics
2011
Dynamic Decision and Data-Driven Strategies for the Optimal Management of Subsurface Geo-Systems
Journal of Algorithms & Computational Technology
2011
High Performance Manycore Solvers for Reservoir Simulation
Proceedings
2010
Parallel Sparsified Solvers for Reservoir Simulation
Proceedings
2010
A family of physics-based preconditioners for solving elliptic equations on highly heterogeneous media
Applied Numerical Mathematics
2009
Towards a New Generation of Physics-Driven Solvers for Black-Oil and Compositional Flow Simulation
All Days
2009
A Novel Percolative Aggregation Approach for Solving Highly Ill-Conditioned Systems
Proceedings
2008
Towards a rigorously justified algebraic preconditioner for high-contrast diffusion problems
Computing and Visualization in Science
2008
A neural stochastic multiscale optimization framework for sensor-based parameter estimation
Integrated Computer-Aided Engineering
2007
Assessing Multiple Resolution Scales in History Matching With Metamodels
All Days
2007
Integrated time‐lapse seismic inversion for reservoir petrophysics and fluid‐flow imaging
SEG Technical Program Expanded Abstracts 2007
2007
A Neural Stochastic Optimization Framework for Oil Parameter Estimation
Intelligent Data Engineering and Automated Learning – IDEAL 2006
2006
Assessing the value of sensor information in 4‐D seismic history matching
SEG Technical Program Expanded Abstracts 2006
2006
Development of Low-Order Controllers for High-Order Reservoir Models and Smart Wells
All Days
2006
Towards Dynamic Data-Driven Management of the Ruby Gulch Waste Repository
Computational Science – ICCS 2006
2006
An analysis of flow‐simulation scales and seismic response
SEG Technical Program Expanded Abstracts 2005
2005
Application of Grid-enabled technologies for solving optimization problems in data-driven reservoir studies
Future Generation Computer Systems
2005
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
2005
Krylov-Secant Methods for Accelerating the Solution of Fully Implicit Formulations
All Days
2005
Towards Dynamic Data-Driven Optimization of Oil Well Placement
Lecture Notes in Computer Science
2005
Application of Grid-Enabled Technologies for Solving Optimization Problems in Data-Driven Reservoir Studies
Computational Science - ICCS 2004
2004
Estimation of elastic constants from ellipsoidal velocities in orthorhombic media
SEG Technical Program Expanded Abstracts 1998
1998

Education

Ph.D., Computational Science and Engineering / May, 1997

Houston, Texas, United States of America

Master of Arts, Computational and Applied Mathematics / May, 1995

Houston

Simón Bolívar University

Master of Science, Computer Science / May, 1991

Caracas

Simón Bolívar University

Bachelor, Computer Science / December, 1988

Caracas

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

Links & Social Media

Research Web Site

DeepCast website

ORCID
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