Engineering Workflows
Engineering Workflows provides Andromeda, an automated time-lapse pressure transient analysis (PTA) platform that converts every operational well shut-in into a structured reservoir data point. The system ingests existing pressure measurements from permanent downhole gauges, ESP intake sensors, and wellhead instrumentation, then feeds results directly into production optimization workflows. It tracks volume-averaged reservoir pressure, skin, near-wellbore mobility, and mobility fronts without requiring additional sensor deployment.
- Data & Analytics
- Energy
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Operational shut-ins on production wells generate pressure transient events that contain valuable reservoir information, but these events accumulate faster than engineers can manually analyze them. Traditional PTA requires specialist effort per event, leaving most shut-in data unutilized and limiting the ability to track reservoir changes over time.
Solution
Andromeda automates time-lapse pressure transient analysis by ingesting existing pressure measurements from permanent downhole gauges, ESP intake sensors, and wellhead instrumentation directly from the production engineering environment. The platform automatically turns successive shut-in events from each well into structured PTA analyses, providing engineers a moving picture of how the well and reservoir are changing over time. Results update inflow performance relationships and feed directly into production optimization workflows within the same ecosystem, eliminating the need for separate data assembly. The system delivers volume-averaged reservoir pressure, skin, near-wellbore mobility, and mobility front distance tracking without requiring additional sensor deployment.
Target Audience
Production and reservoir engineers at oil and gas operators who need to monitor well and reservoir performance using pressure transient data from operational shut-ins.
Features
- Automated PTA on operational shut-ins using existing pressure data from downhole gauges, ESP intake sensors, and wellhead instrumentation
- Time-lapse analysis tracking volume-averaged reservoir pressure, skin, and near-wellbore mobility across successive events
- Mobility front distance monitoring for flood fronts, advancing aquifers, and near-wellbore banks
- Direct PI historian connection for live streaming of pressures and gas rates into the platform
- Integration within the production engineering environment, using trusted inputs and returning results to surveillance and optimization workflows
- Automated workflow for halite surveillance and water-wash optimization, identifying when wellbore storage has cleared sufficiently for reliable skin estimates