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Refinery Monitoring & Surveillance
Refinery Monitoring & Surveillance Solution on AWS
The Refinery Monitoring & Surveillance solution is an offering that combines proprietary edge software, a cloud-native batch and near real-time data store, and a data visualization platform. The solution forms the foundation of our customer's ability to access and manage their disparate sources of refining and petrochemical industrial data. By standardizing how data is brought into the cloud from operations infrastructure and storing data in a centralized repository, this solution creates the foundation necessary for customers to drive business critical workloads for market competitiveness. Contextualized datasets are readily accessible to engineering and analytical applications, enabling high-value initiatives including process optimization, predictive equipment maintenance, process planning, and GHG emissions management.
Specifically, the Refinery Monitoring & Surveillance solution delivers the following capabilities for the customer:
- Ingestion of disparate operational technology (OT) data, field and engineering technical data, and business line information data within a plant into a single, cloud-native data repository
- Consistent user access for various personas to centralized and standardized data
- Flexibility on choice of visualization and analysis platforms for engineering workloads compared to incumbent single vendor lock-ins
The Refinery Monitoring & Surveillance solution unlocks value by enabling organizations to address key challenge areas
Outcomes customers see
Refinery Operations
- Suboptimal equipment performance
- Unplanned equipment failures and downtimes
- Inefficient and burdensome workloads across teams
Challenges customers experience
Visibility & Servicing
- Limited visibility across the larger portfolio
- Inefficient servicing and maintenance of equipment
- Limited ability to do real-time optimization across the field
Legacy infrastructure that holds back innovation
Technology
- Complex and inefficient IT/OT infrastructure
- Disjointed technology systems across teams
- Single vendor lock-ins resulting in high TCO
Dysfunctional data strategy inhibiting growth
Data
- Decentralized and localized data sets
- Unstructured field data
- High cost of data acquisition, storage and analysis
How to get started
Step 1: Deployment Readiness Assessment (DRA)
Activities
- Data Source Strategy
- Data Delivery Strategy
- Security Strategy
Outcomes
- Readiness and Maturity Assessment
- Infrastructure inputs into Planning
- Engagement Scope
Step 2: Deployment planning
Activities
- Tag Discovery Workshop
- OT and IT environment review
- Architecture design
Outcomes
- Reference Architecture
- End to End engagement Plan
- Prioritized Development backlog
- Prioritized Use case backlog
Step 3: Deployment execution
Activities
- Security (Implement Firewalls & Data Security)
- Setup DL Ingestion zones
- Implement Delivery pipelines
- End to End testing of delivery pipelines
Outcomes
- Implemented Solution
- Single repository data storage
- Deployed Use Cases
