Accelerating the Shift to Performance-based Pipeline Integrity Management with Machine Learning and Data Science
Open New Possibilities
Bringing innovation to pipeline integrity management is not just about adding flexibility and incipiency to support regulatory compliance. It can open up new possibilities for going beyond the baseline of compliance while also boosting productivity to a whole new level.
Operators are eager to adopt new practices, but developing them can take time. OneBridge Innovation Lab is a cloud-based platform that can make this shift happen faster, while increasing confidence in pipeline health and reducing costs.
Innovation Lab Addresses the Need for More Knowledge about Pipelines
OneBridge Innovation Lab is working with operators, partners and Microsoft’s Azure cloud computing technologies to fast-track and scale new data science, machine learning, and predictive analytics. Using OneBridge’s Cognitive Integrity Management (CIM) as the engine makes it possible to analyze huge data sets collected from pipeline inspections. The resulting data-intensive risk assessments and analyses can more effectively prevent failures through:
Smarter inspection scheduling
More effective inspection tools
Earlier anomaly detection
Better performing dig programs
Moving Pipelines Toward Digital Twins
Digital twins are a digital replica of physical assets, processes, and systems that are created for in-depth real-time analysis. In the oil and gas industry, the use of digital twins has optimized facilities and up-stream infrastructure by integrating IoT, artificial intelligence, machine learning, and spatial networks to creative simulation models. These models are more dynamic because they can be updated and changed as their physical counterparts change.
Dynamic Digital Twin
Innovation Lab is working to move the industry toward the capability of creating an exact replica of the entire pipeline system within an operator. A working 3D model will:
- Alert operators to problems
- Mitigate opportunities for failure
- Integrate all data sets, including spill and Geographic Information System (GIS) data
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Strategies for Adopting Transformative Approaches
Innovation Lab uses a “Test Fast, Learn Fast, Scale Fast” methodology to work collaboratively with industry leaders and systematically develop a new approach to pipeline integrity management. This four-to-six week process accelerates an innovative collaborative process and ensures the development of innovation in a controlled way.
The “Test, Learn, Scale” approach facilitates innovations on a smaller scale to allow hypotheses to be tested around key performance indicators (KPIs). Lessons learned can then be applied to an incrementally larger segment, with a feedback loop that allows for adjustments and scaling as needed.
To manage an agile approach to developing new strategies, Innovation Lab employs the customer-centric KanBan approach to project management. This enables visualization of workﬂows to maximize efficiency, collaboration, and transparency.