Kazakhstan One of the World’s Largest 3D Plant Design Created for Tengiz Oil & Gas Project

Editor: Ahlam Rais

The project is claimed to be one of the largest oil and gas projects in the world and Fluor’s JV firm is the brain behind the creation of the plant design. The new 3D plant model will enable project engineers from across the globe to see real-time developments in the design.

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Fluor's Atyrau, Kazakhstan office.
Fluor's Atyrau, Kazakhstan office.
(Source: Fluor Corporation)

Texas/USA – Fluor Corporation has recently announced that its joint venture team, KPJV, has developed one of the world’s largest, single 3D intelligent plant design models for Tengizchevroil’s Future Growth Project – Wellhead Pressure Management Project (FGP-WPMP). The KPJV team, consisting of Fluor, the Kazakh Institute of Oil and Gas (King), Kaz Gipro Nefte Trans Engineering Company (KGNT EC) and Worley Parsons, is providing detailed engineering, procurement and construction management services for the FGP-WPMP project, the next expansion of the Tengiz oil field in western Kazakhstan.

Led by Fluor’s Farnborough office, engineering is being executed by Fluor and its joint venture partners in an integrated team with Tengizchevroil. Engineering teams are also located in Atyrau and Almaty, Kazakhstan; New Delhi, India; and Houston, Texas, U.S.A., with fabrication yards in Kazakhstan, South Korea and Italy.

The scale for this industry-leading project calls for engineering to be executed simultaneously at multiple locations around the world. Spanning multiple time zones, work is taking place around the clock. The project’s 3D model provides the latest integrated design and data management system using millions of pieces of verified data to deliver construction-driven execution, states Fluor.

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The single 3D plant model allows project engineers around the world to see real-time developments in the design. Fluor’s investment in engineering technology and a digital infrastructure capable of handling Giga amounts of data enables the multi-location, multi-party execution platform to achieve increased levels of automation. The data-centric model provides 3D visualisation of the plant with intelligent coupling of 2D and 3D information. It enables sequencing tools to optimise construction and produce advanced engineering, construction and installation work packages.

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