Floyd Bates

About Floyd Bates

With 20+ years in upstream oil & gas, I’ve specialized in classical reservoir engineering, machine learning, and M&A execution. I’ve supported $3.25B in acquisitions and managed a $250MM A&D portfolio, helping banks, BD teams, and private equity move decisively with data-backed evaluations that reduce risk and accelerate returns.Starting in field-facing roles at Shell and BP, I later advanced into asset leadership at Pioneer and basin-wide evaluations across the Permian, Marcellus, DJ, and Williston. I’ve since integrated Python, Spotfire, and ML into traditional workflows to boost forecast precision and streamline deal flow.At Parsley Energy, I unified SCADA, POP, and engineering for a 23-rig,$1.5B program—doubling production while holding LOE below industry benchmarks. At American Energy Partners, I led 10 acquisitions across 237,991 acres and launched three upstream firms within 12 months. At Millennial, I applied ML to reduce forecast volatility across a $250MM A&D portfolio.At Jay Bee Oil and Stronghold, I delivered Spotfire type curves, Monte Carlo models, and ML-based DCA to sharpen NPV/EUR precision. I also designed SQL-Aries pipelines and real-time dashboards that strengthened planning, reporting, and field execution.Some of my impacts include:Reservoir Engineering & ML/AI Integration Built Python tools for decline forecasting, nodal analysis, and Monte Carlo simulations Applied deep learning and NLP to subsurface datasets via UT Austin’s AI/ML program Designed analog clustering models to refine type curves and enhance asset screeningM & A Evaluations & Technical Due Diligence Directed $3.25B in acquisitions across 237,991 acres and 10 deals Led due diligence for a $2.3B Parsley transaction ahead of sale to Pioneer Delivered SEC/SPE-PRMS–compliant reserves models and risk-weighted valuationsLeadership, Optimization & Cross-Functional Execution Managed $1.5B Parsley budget; grew production 60% with shale manufacturing model Streamlined SQL-Aries workflows and reporting structures across teams Built drilling-to-flowback RACI workflows now used across multiple organizationsI am open to discussing new opportunities and can be reached at f••••••••@gmail.com.

Experience

1. Director of Reservoir Engineering

   Jay Bee Oil & Gas

   Jul 2023 — Present · Dallas, TX, US

   Supported M&A and reservoir optimization efforts by applying AI/ML, economic modeling, and cross-functional analytics to streamline type curve forecasting, quantify reserves, and enhance portfolio valuation across dynamic A&D scenarios.Held a brief role with Stronghold Investment Management between roles with Jay Bee:Director of Reservoir Engineering (7/2023 to 11/2024 / 2/2025 to Present)Vice President, Stronghold Investment Management (9/2024 to 2/2025) Stronghold Scope & Exit Insight: Delivered daily Spotfire type curves and decline analysis for reservoir surveillance and cash flow modeling from 9/2024 to 2/2025; despite limited scope variation, ensured compliance-grade deliverables that informed short-cycle investment decisions and drove reallocation of capital focus. Machine Learning–Enabled Reservoir Modeling: Tackled forecast inaccuracies by coding Python tools for multi-segment decline curve analysis, nodal analysis, and Monte Carlo simulations, improving NPV/EUR precision. Technical Due Diligence & Economic Valuation: Assessed PDP, PUD, and upside assets through Spotfire modeling, SEC- and SPE-PRMS–compliant reserves valuation, and DCF analysis; supported internal valuations for divestiture screening and risk-weighted acquisition pricing during a 6-month deal flow surge. Cross-Functional Analytics: Bridged data silos between Reservoir Engineering, Finance, and Ops by designing automated SQL-to-Aries workflows and real-time dashboards, accelerating reporting turnaround by and ensuring consistent, investor-grade technical outputs across all field development scenarios.

Education

• Texas A&M University

  Bachelor of Science - BS, Petroleum Engineering

• The University of Texas at Austin

  Post-Graduate Artificial Intelligence & Machine Learning Program , Machine Learning and artificial intelligence

Skills

• Budgets
• Business Economics
• Budget Administration
• Drilling
• Energy
• Financial Forecasting
• Staff Retention
• Team Leaderhsip
• Executive Management
• Analysis
• Asset Growth & Performance
• Cheese
• Completions
• Continuous Process Improvement Initiatives
• Staff Development
• Process Safety Management
• Continuous Process Improvement
• Acquisitions
• Financial Modeling
• Strategic Planning
• Earth Science
• Vendor Management
• Asset Management