I am a senior production engineer with 19 years of experience in
management, well optimization, facility optimization, reservoir
modelling, simulation and modelling, and computer programming.
I’m accustomed to working in diverse teams, in the field, and
have delivered cost and time savings on a variety of projects.
My goal is to develop innovative engineering solutions that
consistently improve operations and further organizational objectives.
Work Experience
Amazon.com, Houston, TX
2020 - Present
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Senior Energy Consultant
Subject matter expert in support of AWS Global Energy/Oil & Gas Accounts.
Apache Corporation, Houston, TX
2014 - 2020
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Senior Production Engineer
Dynamic Optimized Pumping Routes
Developed an algorithm in Python to optimize pumper routes based on production, risk, and proximity.
Reduced drive time and mileage by 30% and pumper’s daily route automatically directed to 75% greater
potential cash margin.
Began scaling out to all of Apache North America: Currently running 15% of Apache NA routes, $250M/D, 5 MBBLD,
20 MMSCFD, with more than 100 users of the optimization algorithm.
Created a mobile report with asset tracking and relevant well site information for pumpers on site.
Project managed a team of 5 in multiple disciplines: ESRI mapping, field implementation, data
management, programming, and statistics.
Predicted seismic induced activity
Collaborated with Auckland University researchers to develop an algorithm that predicts pressure buildup and local seismic activity of salt water disposal.
Autonomous ISIP picking reducing human error, increasing confidence and accuracy.
Coauthored best paper
out of 600 submissions awarded by US Rock Mechanics Symposium.
Created an algorithm to run on a Raspberry Pi, connect to a service company network, and transmit relevant data to Apache.
Reduced third party companies from data flow lowering per well cost by $3000.
Cut the time needed to bring data to near time from days to seconds.
Lessened the potential for error by reducing the necessity for human interaction.
Extended analysis of StimPlan simulations
Rock fracture modelling of injected chemicals, surfactants, proppant, and water, with a team of 3 covering disciplines of reservoir, petrophysics, and geology.
Launched a Python web framework accessible within Apache network to house multiple applications.
Time of Stimplan analysis reduced from days to minutes using Python algorithm.
Organized and led a monthly completion data networking and governance meeting for all North America.
Production Engineer III
Optimized production wells in Oklahoma (SCOOP/STACK) and Texas (Austin Chalk).
Tank leak detection
Used machine learning in Python with Cygnet and OSI PI to improve leak detection of holding tanks. Reduced false positive +30%, and increased true positives 50%.
Initial Shut-in Pressure escalation and plateau.
Developed a workflow in Spotfire utilizing Python and R to estimate fracture dimensions based on published theory.
Frac AFE Cost Estimation.
Improved workflow regions used to estimate the cost of completing a well.
Designed a well completion database used by all districts.
Managed rotational engineers and interns.
Coloborated and Designed well completion database.
Created numerous data analysis charts using Spotfire.
Developed decline curves from Aries data showing daily granularity.
Created database and imported Frac Focus data for analysis.
Quickly assess actual production to forecasted production.
Filters to visualize problem areas.
Choose any well or group of wells to compare production.
Created entirely using Python and querying the Aries database.
Select criteria for which wells to analyze.
Select a specific well to view the daily production forecast.
Calculate monthly production for a group of wells.
Devon Energy via M&H Engineering, Houston, TX
2013 - 2014
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Developed a Valve Fail Open graphical user interface for Devon Energy.
Designed intuitive interface for easy and efficient valve analysis.
Managed project directly with Devon operations engineers for 30% under budget final product.
Created as specified by field engineers at Devon.
Numerical methods used to determine accurate valve fail open pressure.
Procter & Gamble (P&G), Brussels, Belgium
2011 - 2013
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Optimized a manufacturing process to realize a costs savings of $2.5 million/year.
Led design, validation, and implementation of a $2 million customized 3D finite element method (FEM) particle tracking software using linear programming (with Altair Engineering).
Created, developed and led a global 5 day training course in Python programming. ppt
Designed an internal global engineering software for pipe flow and rheology modelling, which saved P&G $500MM.
Developed linear least squares regression for fast curve analysis.
Improved plant design by creating and validating static mixer simulations.
Engaged vendors on technical issues for development and improvement at plant sites.
Provided expert-level guidance to plant sites and work process implementation.
Prepared and maintained the associated technical content for all developed models and research.
Quickly determine the pressure drop, friction factor, and flow rate of a pipeline.
Easily find the best curve fit for rheological data.