From 30 days to 1: Chevron’s cloud migration ROI in real numbers

AI 1 AI 150-year-old energy giant changes Bar? How do technical practice deal with information.

Drilling is carried out in the Gulf for oil resources under the ocean floor in the sea, which may or may not be or may not be or may not be or may not be or may not be or may not be or may not be or may not be or may not be. The agent should be able to process the petabytes of architecture, critical information – how to do this, however, however, without negative impact on human life or around.

“Information is the last speed for cases of use of AI”, “Steve Bowman, GM for Enterprise at Chevron, this year Turn a vb. “This is something we hugged in a big way.”

How does the AI ​​change has a interaction with the quantity of the Andoleus of the information

Merged with Chevron in 2019 Microsoft and Oilfield Services company SLB ‘in a project called’Triple crown‘Modernization and standardization of cloud-based means. Three companies, to help, visualize, comment, interpret, comment, interpret and win the process of interpreting and protecting, to interpret and win. Delfi * E & P covers intelligence, development, production and medium environments.

“There is a large amount of information there, there is a large amount of information there,” $ 1,000 million in energy giant in 180 countries in 180 countries. Bowman said. And Although Chevron’s “very solid record systems”, there are no large amounts of information in various shares.

Chevron set a bit over the years “Really excellent algorithms“It traditionally used in a small scale in places, explained. However, these algorithms have an increasing impetus to run, to run and grow larger and more efficiently in the cloud.

By doing so, “Instead of watching three miles in the Gulf of Mexico or American Gulf, we can look at larger areas where we are trying to operate,” he said.

Microsoft-SLB cooperation is directed to three products: fdplan, drunksplan and drilling. FDPlan uses high performance calculation (HPCs) using high performance calculation (HPC) to ensure that employees make the fastest and faster and faster and more informed decisions using the best information. For example, in the Gulf, FDPlan Chevron helps to analyze different options for the development of a reservoir, so the teams can focus on the optimal scenarios.

Meanwhile, drilling is designed for engineers who develop drilling plans, and drilling areas are used by boilers.

Prior to the initiative, some underground chevron workers spent up to 75% of the information seekers. “We can see that the time people spend time searching for information and the speed we can get in understanding is really accelerated.”

DrunkPlan also helped Chevron reduced the good planning process for 30 days. For example, the company in Argentina reduced the time of planning for eight wells, which is less than two weeks.

As a result, Bowman called Go to the cloud “Real force of force” permitting Chevron to enter the new stage of modernization.

Pay attention to modular systems

Now as they are trying to integrate AI, the Bowman team pays a lot of attention to the module.

Early said that the search for the search for ‘ASK’; They offered people a very simple use claim that allows people to get the information available within a compound SharePoint. However, as users are increasingly engaged, they are growing their desires; In response, the team added a search agent, which can assess the findings from a technical point of view and an orchestren agent.

“We really realized that the students were based on the student, we knew this agents would be called in other workflows,” he said.

Another effort is a conversation interface to work in the standards of health, safety and environment (HSE). “We work in a very complex industry and the share of the game is always higher,” said Bowman.

The tool provides a natural way to monitor the needs of people with critical standards and documents related to critical standards and procedures. Thus, for example, a user can combine all the standards needed for a drilling staff, operating staff and a business staff.

“We realized that we did not think of the problem in the way that individual users think of each other together,” Bowman said. “This integration has so much value. This really changed the work of people.”

Don’t pay too much attention to POCs

When set up their programs, the Bowman team actively faced the habit of conducting pilots and concepts (PACS), very long. “It has no value,” he said.

According to him, he said, always said that the goal is to produce the most promising use. Everything should be connected to Chevron’s subline and offer a strong value offer.

“We know that the set of these programs and really enthusiastic, good meaning users and a super narrowly defined use of the Pocacy,” said Bowman.

Another important element in placing the next gene tools is to overcome confidence barrier. From a point of behavior, the heads of the company, only the company has placed places to users in the local and edge of the company, but these users should understand what the turn is expected, Bowman said.

“Is there anything to put these systems or tools to their hands or have something to do or trust them or not trust them?

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