About AWA
Turning water chemistry into confident treatment decisions.
AWA (Analytical Water Assessment) helps oil & gas water-treatment teams predict, prevent, and solve mineral scale and corrosion - so you can protect assets, reduce downtime, and operate more safely and efficiently.
AWA is a browser-based platform that combines thermodynamic modeling, mechanistic methods, regression models, and a virtual assistant to turn lab and field data into clear, defensible treatment decisions. It is built to handle complex produced-water brines and challenging operating conditions, helping teams standardize analysis, justify chemical programs, and act faster with confidence.
We are here for you
In oil & gas, water problems become safety risks, downtime, and unnecessary cost. AWA helps field, lab, and engineering teams answer the questions that matter fast: Will this water scale or corrode? What's driving it? What treatment will work?
AWA was created by a team with deep oil & gas water-treatment and digital product experience to replace scattered spreadsheets and hard-to-use tools with an AI-powered, browser-based platform that combines scale, solubility, and corrosion analysis in one place - and turns your data into science-backed, actionable recommendations.
Whether you're in the field, the lab, or HQ, AWA works like a knowledgeable teammate - helping you predict, prevent, and solve mineral scale and corrosion when it matters most.
Founded by oil & gas water-treatment and digital product leaders (Victor Alvarez, Darcy Morrissette, and Arturo Alvarez).
Community & Education
We expand access to AWA for organizations working on water challenges by offering the platform at near cost for:
Research & Development
AWA is built on rigorous science, with an R&D roadmap focused on AI-enabled, field-ready decisions for oil & gas water treatment and asset integrity, and on using our Virtual Assistant to eliminate the most tedious work so teams can move faster.
- Scale, solubility & corrosion modeling using thermodynamics and mechanistic methods
- Regression models trained on your data to reflect your assets and operating windows
- Virtual Assistant for oil & gas workflows: handles tedious tasks like reading Excel/PDF reports, extracting key parameters, standardizing units, summarizing results, and producing traceable recommendations
- Scenario comparison for treatment decisions (what changes risk, and why)
- Virtual Assistant expansions faster “answer-from-your-files” workflows (e.g., compare wells/fields, generate consistent narratives, and draft decision-ready reports)
- AI-assisted data QA/QC: detect missing inputs, inconsistencies, and unit/reporting issues
- Hybrid models (physics + ML) to improve prediction accuracy where field conditions deviate from ideal assumptions
- Expanded physico-chemical property prediction: for complex aqueous systems
- Uncertainty / confidence scoring so teams know when results are solid vs. when more testing is needed
- Batch inhibitor optimization (dose, contact time, flush-out timing)
- Integrity & remaining-life forecasting (corrosion rate, wall-loss trends, maintenance intervals)
- Monitoring integration and digital twins that stay aligned with real system behavior
- Apply surrogate models that capture localized risk without full CFD overhead
- Build a secure, traceable large language model that can hold an ongoing conversation with you, grounded in your data and backed by clear source references.
Let's Build the Future Together.
Have an idea, need, or collaboration in
mind? We are listening.