Project at a Glance
ARO Express required a cloud-based engineering platform capable of performing complex oil well forecasting, production modeling, and operational calculations through an accessible and scalable SaaS environment. The objective was to enable engineers and operators to input well parameters, analyze production performance, and generate accurate forecasting reports without relying on fragmented spreadsheets or manual engineering workflows.
We developed a comprehensive multi-tenant SaaS ecosystem with tiered subscription plans, automated billing, and secure customer management. The platform included a centralized admin portal for managing subscriptions, customers, payments, and website content, alongside a robust customer portal where operators could manage wells, configure calculation models, and generate detailed analytical reports.
The solution enabled engineering teams to perform data-driven decision-making through structured well data inputs, automated calculation engines, and standardized forecasting models, transforming complex oil field analysis into a streamlined digital workflow.
Solution & Implementation
We engineered a scalable SaaS architecture designed specifically for oil well engineering workflows, ensuring accuracy, flexibility, and ease of use for technical teams.
Key implementation components included:
- Advanced Well Forecasting Engine: Custom-built calculation modules allowing engineers to input parameters such as production rates, pressure data, reservoir characteristics, and operational variables to generate predictive forecasts and performance models.
- Multi-tenant SaaS Infrastructure: Subscription-based access with multiple pricing tiers, secure user management, automated billing cycles, and integrated Stripe payment processing.
- Customer Engineering Portal: Dedicated workspace where users could manage well profiles, perform complex calculations, track historical data, and generate structured engineering reports.
- Administrative Control Center: Centralized system for managing subscriptions, customers, financial transactions, content updates, and platform configurations.
- Automated Reporting & Analytics: Dynamic report generation enabling users to export structured production forecasts, engineering calculations, and operational performance summaries.
- Data Accuracy & Workflow Standardization: Structured data models ensuring consistent calculation logic and reducing dependency on manual spreadsheets and ad-hoc engineering tools.
The platform was designed to handle high volumes of engineering calculations while maintaining precision, performance, and scalability for expanding SaaS operations.
Technology Stack
Python
Microsoft C#
PHP
AWS
Cloudflare
Codeigniter
MySQL
Automation
OpenAI
Adobe
Project Outcomes
- Digitized complex oil well forecasting and engineering calculations into a structured SaaS platform.
- Reduced reliance on manual spreadsheets through automated calculation models and standardized workflows.
- Enabled scalable subscription-based access with integrated billing and customer management.
- Provided engineers with centralized well management, forecasting tools, and automated reporting capabilities.
- Improved operational decision-making through data-driven production analysis and predictive modeling.
- Established a scalable technical foundation supporting expansion into advanced analytics and additional engineering modules.