Case Study
FORTUNE 100 O&G COMPANY
Project overview
FORTUNE 100 O&G COMPANY
- Hundreds of trillions of dollars in annual revenue.
- Millions of barrels of oil equivalent per day.
- Tens of thousands of employees.
- Operations are divided into different businesses within the upstream, midstream, and downstream value chain.
Visual intelligence for O&G.
One of the world's leading oil and gas producers decided there has to be a better way to do business. Each sector of their company included multiple high-value assets, including flare stacks, offshore platforms, refineries, tanks, boilers, and pipelines. With each asset operating vast arrays of equipment orchestrated to maximize the efficiency of oil production, the cost of failure is high. As a global organization with assets spread worldwide, creating a scalable asset inspection solution poses a significant challenge, both from an architecture and data perspective.
Searching for an effective solution, they have elected the Alteia platform due to its scalable and enterprise-ready solution. The first priority at hand is the inspection use case, with all its challenges aforementioned. However, thanks to the intentional design of the Alteia platform, the scope of work is manageable. The development of five specific applications allows the organization to leverage various structured and unstructured data as well as the latest data acquisitions. Finally, full portage of the Alteia platform into a private cloud network assures compliance with demanding privacy and security requirements.
Searching for an effective solution, they have elected the Alteia platform due to its scalable and enterprise-ready solution. The first priority at hand is the inspection use case, with all its challenges aforementioned. However, thanks to the intentional design of the Alteia platform, the scope of work is manageable. The development of five specific applications allows the organization to leverage various structured and unstructured data as well as the latest data acquisitions. Finally, full portage of the Alteia platform into a private cloud network assures compliance with demanding privacy and security requirements.
Results
x10
improvement in inspection time
$10+ million
savings in downtime annually
50%
optimization on maintenance costs
Project highlights
- Develop an application to identify and compute the volume of sand-encroached areas meant for hauling and predict future encroachment based on dun migration modeling.
- Deploy an application tailored to defects typically experienced on safety and relief systems critical to plant operation and can only be inspected when the asset is live. Atelia has trained algorithms from existing datasets of several plants and qualified detection robustness on inspections to meet this challenge.
- Identify and mitigate the impact of potential threats such as trespassing and unauthorized construction with a change detection application.
