Production Monitoring & Surveillance
The Production Monitoring and Surveillance solution is a Production Data Lake offering that forms the foundation of our customer's ability to access, manage and consume their operational data. By standardizing and centralizing how data is brought into the cloud from the physical infrastructure of our customers, this solution creates the infrastructure necessary for use-case specific high value workloads such as production optimization, predictive equipment maintenance, GHG emissions Monitoring, Spill and leak detection to access and consume operational data readily and in real-time as required. Specifically, the Production Monitoring & Surveillance solution delivers the following capabilities for the customer:
- Modernized legacy operational data access and storage infrastructure – liberation of data from decentralized and local historian instances
- A cloud native data lake – while retaining flexibility on choice of visualization and analytical workloads compared to incumbent single vendor lock-ins
- A cloud native edge infrastructure for data gathering on new assets that are added to the portfolio
Solution Categories
Upstream
Drilling & Completions
Achieve faster and more accurate drilling operations and more cost-optimized completions.
Geology & Geophysics
Reduce exploration risk and reduce time to decision.
Production Operations
Increase production and safety, reduce lifting costs and GHG emissions.
Downstream
Refining Operations
Improve end-to-end refinery optimization around throughput, reliability, costs and emissions.
Fuels Retail
Learn from and create a better experience for retail customers at gas stations.
Midstream
Infrastructure
Improve storage and delivery of products with streamlined terminal operations and gathering line systems.
Pipelines & Logistics
Increased visibility into condition monitoring and transport cost optimization capabilities across network of pipelines.
Trading & Risk
Optimize commodity trades by delivering various computing capabilities to trading platforms and develop new ones.
Customer Reference
Join bpx energy Chief Technology Officer, Grant Matthews and AWS’s David Milam to hear how bpx energy transformed their oilfield operations by implementing a cloud-based Process Control Network. bpx energy, a wholly owned subsidiary of bp, had a complex on-premises legacy Operations Technology infrastructure that was costly to maintain and scale with their business.
Learn how bpx consolidated Supervisory Control and Data Acquisition (SCADA) systems and Historians into a cloud data lake, optimized operations using machine learning, and enabled real-time edge intelligence with IoT at the wells. This transformation has enabled bpx energy to lower operating expenses, maximize production, and decrease methane emissions to help achieve their ambition to be a Net Zero company by 2050 or sooner.
How to get started
STEP 1 »
Deployment Readiness Assessment (DRA)
During this short phase, the deployment team works with the customer to understand their existing data sources, collection, storage and streaming infrastructure. The knowledge gathered in this phase helps better inform technological decisions and scope of the project.
STEP 2 »
Deployment Planning
The deployment team conducts several workshops with the customer to review their IT/OT environment and create a customized reference architecture. The knowledge gathered in this phase helps the deployment team create their prioritized development and use case backlog.
STEP 3 »
Deployment Execution
The deployment team implements both components of solution for the customer catering specifically for their infrastructure. This implementation will undergo testing prior to deployment and abide by all necessary security protocols.
