Tom Meuzelaar

About Tom Meuzelaar

Specializing in geology, geochemistry and predictive analytics with more than twenty years of industry experience. Experienced geoscientist delivering at the highest technical level; value oriented and client focused. Effective execution of large, complex projects, and demonstrated leader of technical teams, with focus on empowering and mentoring- Core passion is data analytics: identifying meaningful trends and using creative visualization techniques to effectively communicate the essential story, Currently focused on site water and materials management solutions using supervised and unsupervised machine learning techniques- Currently supporting mining and oil and gas clients in solving challenging water/rock related problems through all project life cycle stages- Evaluated complex geochemical models to assess a variety of equilibrium and kinetic gas/water/rock processes at variable temperature, pressure, salinity, redox and transport conditions- Extensive experience as petrographer, mineralogist and geologist- Taught or co-taught over 35 geochemical modeling short courses, including courses at Goldschmidt conferences, federal research organizations, multinational energy corporations, environmental and mining consultancies and major universities.Specialties- Unsupervised learning (principal component analysis and regression, data clustering) and supervised machine learning (classification, regression, outlier identification) techniques- Predictive water/rock chemistry- Water/rock reaction modeling: The Geochemist\'s Workbench (GWB)- Reservoir scaling tendency: OLI ScaleChem- Thin section petrography, specializing in carbonate and sandstone reservoirs- Experience with porphyry, epithermal and VMS deposits- Software proficiency with GoldSim, ArcGIS, Surfer, RockWorks, Azure ML- Developer skills with VB.net, HTML, Javascript, CSS, XML, CGI/Perl and C++

Experience

1. Founder Principal

   Life Cycle Geo, Llc

   Feb 2019 — Present

   Providing innovative geosolutions to the mining and oil/gas sectors across the project life cycle. We offer a range of traditional geology and geochemistry focused consulting solutions, and specialize in the use of predictive analytics (machine learning) to help our clients optimize their operations.

Education

• University of Washington

  Geology

  1992 — 1993

• Washington State University

  M.S., Geology

  1993 — 1995

• Colorado School of Mines

  Doctor of Philosophy (PhD), Geology

  2009 — 2015

• University of Utah

  B.S., Geology; mineralogy/petrology

  1986 — 1991

Skills

• Xml
• Mineralogy
• Mineral Exploration
• Data Analysis
• Arcview
• Spatial Analysis
• Data Analytics
• Arcgis
• Gold
• Rockworks
• Css
• Remediation
• Machine Learning
• Modeling
• Environmental Compliance
• Science
• Javascript
• Mining
• Energy
• Petroleum
• Gis
• Logging
• Geochemistry
• Principal Component Analysis
• Arcmap
• Maps
• Contaminated Land
• Html
• Spatial Databases
• Geographic Information Systems (Gis)
• Sampling
• Predictive Analytics
• Data Science
• Earth Science
• Hydrogeology
• Geological Mapping
• Groundwater
• Minerals
• Environmental Permitting
• Environmental Impact Assessment