AquaNRG offers a cloud‑based digital twin platform that simulates Special Core Analysis (SCAL) experiments, linking petrophysical rock properties with dynamic wettability and geochemical reactions. The tool enables upstream oil and gas operators to screen and predict the economic and environmental outcomes of enhanced oil recovery, waterflood optimization, and carbon capture projects by modeling chemistry‑based fluid modifications and reactive transport. By delivering quantitative metrics and predictive analytics, it helps customers evaluate trade‑offs between revenue, emissions, and water use before field deployment.
Funding
Funding not disclosed
Founders
Product
Problem
Oil and gas operators often lack integrated tools to predict how changes in rock wettability, fluid chemistry, and reactive transport affect oil recovery and environmental impacts, leading to suboptimal waterflooding and carbon capture projects with higher emissions and water use.
Solution
AquaNRG provides a digital twin platform that models Special Core Analysis (SCAL) experiments, linking petrophysical rock properties with dynamic wettability and geochemical reactions. The platform incorporates chemistry‑based fluid modifications, operator‑defined rock and engineering parameters, and reactive flow modeling to screen and predict outcomes for enhanced oil recovery, waterflood optimization, and CCUS applications. By delivering quantitative screening metrics, the system enables operators to evaluate trade‑offs between revenue gains and upstream emissions or water consumption before field deployment. Results are presented through predictive analytics that guide injectate composition, soak time, and operational strategies, supporting more sustainable and profitable reservoir management.
Target Audience
Primary customers are upstream oil and gas companies and service firms that conduct reservoir engineering, enhanced oil recovery, and carbon capture projects, as well as research labs developing wettability alteration technologies.
Features
- Digital twin of SCAL workflows that simulates porosity‑permeability changes from mineral dissolution‑precipitation reactions
- Dynamic wettability modeling that captures fluid‑rock affinity shifts driven by injected fluid chemistry
- Integrated chemistry‑based fluid modification engine for optimizing brine composition and soak time
- Reactive transport modeling to assess multi‑phase flow, CO₂ sequestration, and hydrogen storage risks
- Screening metrics that quantify economic, environmental, and petrophysical performance of EOR/IOR and CCUS scenarios
- Cloud‑based analytics platform delivering predictive reports for operator decision‑making