Integrated Refinery Information Management System

Overview

The Infosys Oil and Gas practice understands the complexities of the refining landscape – a wide range of crude oil categories, product quality norms, energy performance standards, demand and supply side fluctuations, pricing volatility, and stringent environment regulations. A robust enterprise information backbone facilitates smooth flow of data and streamlines operations across the refinery supply chain. We develop integrated refinery information systems using service-oriented architecture (SOA) to transform your refinery into a data-oriented enterprise

Our IRIS solutions deliver contextual and role-specific information to boost enterprise productivity and profitability. Our centers of excellence (CoEs) for energy, project management, software maintenance, and Microsoft SharePoint maintain a knowledge repository of tools, accelerators, and templates across the software development lifecycle.

Our Business Value Articulation (BVA) framework quantifies and tracks performance metrics for projects as well as businesses.

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Infosys IRIS services footprint

Challenges & Solutions

Need of a comprehensive data system that integrates functions across lines of business and responds to diverse business scenarios.

Our InFlux methodology combines an easy-to-use workbench for requirements modeling with best practices for thorough analysis of business processes.

Our structured governance model with well-defined roles and responsibilities as well as multi-level interaction improves knowledge sharing and collaboration.

Need for visibility into refinery business processes to plan asset utilization and measure performance.

Our inSOAP solution methodology rationalizes the IT portfolio and helps implement an enterprise SOA strategy.

Ingress, our SOA-based service mediation platform, realizes Enterprise Service Bus (ESB) and addresses systems integration requirements.

Need for a robust governance system to streamline operations.

The Infosys Winnow product evaluation and selection framework incorporates meta models to assess products for refinery operations such as planning, scheduling, production accounting, mass balancing, data reconciliation, and supply chain management.