# positions[].organizations[].parent[].label
Texas A&M Engineering Experiment Station (TEES)

# overview
Engineering. Technology leader with broad business experience in field development and optimization, energy transition issues, reservoir simulation, drilling and completions, horizontal wells, hydraulic fracturing, EOR and waterflooding. Current research interests include energy transition and the role of fossil fuels, carbon capture and storage (CCUS), quantitative measurements and reporting of GHG emissions, hydrogen, and decreasing carbon intensity of oil and gas production along with using machine learning in GHG emissions reductions.

Experience includes worldwide leadership of reservoir, well construction, HES, and facilities engineering teams and developing applied research programs. I have served on Boards of Directors of public and closely held oil producers, software and oilfield services companies and professional organizations. My expertise includes collaborations with government regulators, managing technology development and interdisciplinary projects in reservoir characterization and technology development, horizontal well applications, thermal and compositional reservoir simulation, waterflooding, applications of digital industrial approaches to improve economic and technical capabilities in field development and management, big data analytics, use of nanomaterials for lowering costs and increasing capabilities, energy transition issues and hydraulic fracturing.

# keywords[]
4019 Resources Engineering And Extractive Metallurgy

# keywords[]
4019 Resources Engineering And Extractive Metallurgy

# keywords[]
35 Commerce, Management, Tourism And Services

# keywords[]
4012 Fluid Mechanics And Thermal Engineering

# keywords[]
4019 Resources Engineering And Extractive Metallurgy

# keywords[]
4019 Resources Engineering And Extractive Metallurgy

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30 Agricultural, Veterinary And Food Sciences

# keywords[]
4012 Fluid Mechanics And Thermal Engineering

# keywords[]
Networking And Information Technology R&d (nitrd)

# keywords[]
Machine Learning And Artificial Intelligence

# keywords[]
Networking And Information Technology R&d (nitrd)

# keywords[]
Machine Learning And Artificial Intelligence

# keywords[]
4019 Resources Engineering And Extractive Metallurgy

# keywords[]
Networking And Information Technology R&d (nitrd)

# keywords[]
Machine Learning And Artificial Intelligence

# keywords[]
4019 Resources Engineering And Extractive Metallurgy

# keywords[]
4019 Resources Engineering And Extractive Metallurgy

# keywords[]
4019 Resources Engineering And Extractive Metallurgy

# keywords[]
Networking And Information Technology R&d (nitrd)

# keywords[]
Machine Learning And Artificial Intelligence

# keywords[]
12 Responsible Consumption And Production

# keywords[]
4019 Resources Engineering And Extractive Metallurgy

# keywords[]
Physical Injury - Accidents And Adverse Effects

# keywords[]
3507 Strategy, Management And Organisational Behaviour

# keywords[]
35 Commerce, Management, Tourism And Services

# educationAndTraining[].organization.label
Georgia Institute of Technology - (Atlanta, Georgia, United States)

# educationAndTraining[].organization.label
Stanford University - (Stanford, California, United States)

# educationAndTraining[].organization.label
University of Oklahoma - (Norman, Oklahoma, United States)

# publications[].label
New Approaches to Gas Monetization in Nigeria

# publications[].label
Optimization of Fracture Length and Well Spacing in Heterogeneous Reservoirs

# publications[].label
Chapter 6 Introduction to Enhanced Oil Recovery

# publications[].label
Effects of Reservoir Heterogeneity and Fracture Azimuth on Optimization of Fracture Length and Well Spacing

# publications[].label
Potential for Horizontal-Well Technology in the U.S.

# publications[].label
Quantifying Horizontal Well Logs in Naturally Fractured ReservoirsII

# publications[].label
A Comparison of North American and International Risks in Unconventional Resource Plays

# publications[].label
Carbon Intensity of Unconventional and Latin American Oil Plays

# publications[].label
Optimal Reservoir Modeling Improves Development Decision Making for a Fractured UK Onshore Oil Field- A Case Study

# publications[].label
Potential for Horizontal Well Technology in the U.S.

# publications[].label
Comparing Carbon Intensity of Unconventional and Asia Pacific Oil Production

# publications[].label
The Impact of Nanotechnology on Oil and Gas Economics

# publications[].label
It's Not the End of Petroleum Engineering

# publications[].label
Practical Issues in Multi-lateral Horizontal Well Completions

# publications[].label
Estimating Carbon Intensity of Unconventional Plays

# publications[].publisher
American Association of Petroleum Geologists AAPG/Datapages

# publications[].label
A Practical Approach for Calculating EOS (Russian)

# publications[].label
Hydraulic Fracture Performance in the Moxa Arch Frontier Formation

# publications[].label
Value of Offshore Pore Space for Carbon Capture and Storage

# publications[].label
Numerical Simulation Results in the Carthage Cotton Valley Field

# publications[].label
Potential for Horizontal-Well Technology in the U.S.

# publications[].label
Field Application of Static Tubing Pressure Data and On-Site Fracture Modeling

# publications[].label
Nano-enhanced drilling fluids: Effects of MgO and ZnO nanoparticles on rheological properties and ANN modeling for predictive analysis

# publications[].label
Field Application of Static Tubing Pressure Data and On-Site Fracture Modeling

# publications[].label
Integration of Horizontal Well Log Information in Fractured Reservoir Characterization

# publications[].label
Carbon Intensity of Latin American Unconventional Plays

# publications[].publisher
American Association of Petroleum Geologists AAPG/Datapages

# publications[].label
Waterfracs - Results from 50 Cotton Valley Wells

# publications[].label
Methods and systems for intelligent field development and optimized placement of well pads in unconventional and conventional reservoirs

# publications[].label
Can Artificial Intelligence and Machine Learning Predict the Performance of Nano-based Drilling Fluids? A Review

# publications[].publisher
College of Graduate Studies, Walailak University

# publications[].label
A Comparative Analysis of Machine Learning Techniques for Geothermal Wells Drilling Rate of Penetration (ROP) Prediction

# publications[].publisher
American Association of Petroleum Geologists AAPG/Datapages

# publications[].label
Harnessing AI and Computer Vision for Efficient Geothermal Field Exploration and Prospect Evaluation

# publications[].label
Improved Reservoir Characterization in Low-Permeability Reservoirs With Geostatistical Models

# publications[].label
Chapter 5 Predicting Oil Reservoir Performance

# publications[].label
Ultrafast Multiphase Production Forecasting for Large Gas Condensate Shale Reservoirs

# publications[].label
Value of Pore Space for Carbon Capture and Storage

# publications[].publisher
American Association of Petroleum Geologists AAPG/Datapages

# publications[].label
Using Analog Reservoir Performance to Understand Type I Fractured Reservoir Behavior with Strong Water Drives

# publications[].label
Stimulation Results in the Giddings (Austin Chalk) Field

# publications[].label
A Laboratory Study of Water Immobilization for Improved Oil Recovery

# publications[].label
Comparative analysis of machine learning techniques for predicting drilling rate of penetration (ROP) in geothermal wells: A case study of FORGE site

# publications[].label
Carbon Intensity: Comparing Carbon Impacts of Middle East and US Shale Oils

# publications[].label
Identification and Comparison of True Net Fracturing Pressures Generated by Pumping Fluids with Different Rheology into the Same Formations

# publications[].label
Quantifying Horizontal Well Logs in Naturally Fractured ReservoirsI

# publications[].label
Horizontal Spacing, Depletion, and Infill Potential in the Austin Chalk

# publications[].label
Quantifying Horizontal Well Logs in Naturally Fractured Reservoirs-I

# publications[].label
Major New Developments in Hydraulic Fracturing, with Documented Reductions in Job Costs and Increases in Normalized Production

# publications[].label
Guest Editorial: The Engineering Approach to Carbon-Emissions Management

# publications[].label
A Practical Approach for Calculating EOS Coefficients

# publications[].label
From DOS to UNIX: An Independent's Experience

# publications[].label
Stratton Field, Texas Gulf Coast: A Successful Cased-Hole Re-Evaluation of an Old Field to Determine Remaining Reserves and to Increase Production Level

# publications[].label
Global carbon intensity of crude oil production.

# publications[].publisher
American Association for the Advancement of Science (AAAS)

# publications[].label
An Analysis of Rate-Sensitive Skin in Gas Wells

# publications[].label
Horizontal Spacing, Depletion, and Infill Potential in the Austin Chalk

# publications[].label
Effects of Reservoir Heterogeneity and Fracture Azimuth on Optimization of Fracture Length and Well Spacing

# publications[].label
Investigating curve smoothing techniques for enhanced shale gas production data analysis

# publications[].label
Integration of Horizontal Well Log Information in Fractured Reservoir Characterization

# publications[].label
The End of Petroleum Engineering as We Know It

# publications[].label
Practices and Standards for Plugging Orphaned and Abandoned Hydrocarbon Wells

# publications[].label
Advanced Reservoir Management and Engineering

# organizations[]
Texas A&M Engineering Experiment Station (TEES)

# schools[]
Texas A&M Engineering Experiment Station (TEES)