Our Product

Real-time stabilizer operation and optimization software that combines machine learning with thermodynamic modeling. Our software gives operating point recommendations to minimize energy and natural gas input, while maximizing condensate yield and revenue.

The Challenge

Gas plant engineers face a critical optimization problem: setting the condensate stabilizer temperature and other operating setpoints. This seemingly simple decision creates a complex trade-off: use more energy to increase heat to boil away lighter hydrocarbons and reduce sales, or decrease heat to save energy and sell more volume, but risk massive midstream penalties for off-spec product.

Our Solution

Phasetec's software platform solves these problems by combining existing plant data with thermodynamic models and machine learning models, otherwise known as a physics-in-the-loop model. Our system:

01

Predicts condensate composition in real-time without new hardware

02

Provides operating setpoint recommendations

03

Unifies data from multiple sources into one intuitive platform

04

Replaces manual workflows with automated insights

Technical Approach

Our competitive advantage stems from three key elements:

01

Model Validation

We've validated our initial models using real customer data, achieving 0.4% accuracy in predicting C5+ composition. Our target accuracy is 0.1%.

02

Software & Model Execution

We layer machine learning onto thermodynamic models through intuitive, leading-edge software that provides real-time intelligence to operators.

03

Unfair Advantage

Our value compounds over time. Nobody in the industry has our cross-producer dataset. We're the first to unify these datasets and create a Physics-in-the-loop system that continuously improves that no single operator could duplicate.

Our Technology Readiness Level

TRL 3-4

TRL 3 (Proof of Concept): We have validated the analytical and experimental feasibility of our Physics-in-the-loop approach using real customer data, achieving 0.4% accuracy in C5+ composition prediction.

TRL 4 (Prototype Validation): We are currently working towards validating our prototype with our pilot customer.

The Value

$45
per barrel differential
0.5%
achievable yield uplift
5-7x
annual ROI

Every molecule retained in the condensate stream captures approximately $45 more per barrel than when boiled off into the gas phase. According to our customers, a conservative 0.5% yield uplift translates to:

$4M+
per year for mid-size producers
$10M+
per year for larger producers
<2 months
payback period

Our Future Beyond Condensate

Our customers are already asking us to tackle new energy challenges that only our unique combination of industry access and AI expertise can solve. Ethane optimization is our first expansion—high-value and an immediate revenue lift. We have a growing list of optimization opportunities that will continue to expand our growth.