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Digital lifecycle excellence for the pipeline industry

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Facing market volatility and pressure to reduce emissions, the oil and gas pipeline industry requires high financing levels to fund its capital projects and operations. The industry must also compete with other economic sectors for scarce investor resources.

To better navigate these growing challenges, pipeline companies must embrace innovation and digitalization. Download our executive brief to learn how integrating your physical and digital pipeline assets improves business decision-making and operational efficiency.

Future of pipeline industry

Capital-intensive industries, such as pipelines, include complex plants and assets supported by large amounts of technical information. Much of this critical information is stored in file-based document management systems, local drives and even file cabinets. Because the data is typically unconnected, valuable insights that support operations can be challenging to find quickly. The future of pipeline industry work depends on digitalizing and connecting technical information to help workers make rapid data-driven decisions throughout asset lifecycles.

Pipeline in oil and gas industry

To digitally support a pipeline in oil and gas industry, producers can consolidate equipment design and operational data from original equipment manufacturer (OEM) suppliers, plant design information from engineering contractors, and operations and maintenance systems information. With today’s innovative, data-driven solutions, pipeline businesses can integrate with their supply chain much more effectively to improve results while reducing costs and errors. Learn how to get more value from your data by reading the executive brief.

Pipeline lifecycle

Every pipeline has a lifecycle that begins with a statement of initial requirements and conceptual engineering and ends with its decommissioning. From start to finish, knowledge workers from many disciplines add incremental value, making the pipeline lifecycle information increasingly large and complex. By adopting a digital lifecycle approach, technical and business information is connected to a data backbone that acts as a central nervous system for the plant lifecycle information. Combining these "systems of systems" creates a new level of awareness up and down the lifecycle while helping knowledge workers respond to issues before they become costly situations.