Implementing an Integrated Production Surveillance and Optimization System

The complete paper describes some of the technical challenges faced in deepwater operations and the methodology adopted for implementing an integrated production surveillance and optimization (IPSO) system to mitigate the risks. The IPSO (deepwater-digital-oilfield) system is designed to be a combination of emerging information and communications technologies, intelligent algorithms, and fit-for-purpose asset-management work flows.

The IPSO System

The vision of the digital oil field is to foster an environment where work is performed with fit-for-purpose tools and streamlined work flows to measure, model, and control the field by enabling people to make the right decisions at the right time. This is enabled through a seamless decision hierarchy (Fig. 1) that achieves integrated asset management across business processes, the hydrocarbon value chain, and temporal scales. This multiscale optimization is handled by dividing the challenge into subproblems and passing down decisions from each level as targets for lower-level processes, while system outputs are considered as feedback loops to correct actions.

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 187222, “Creating Value by Implementing an Integrated Production Surveillance and Optimization System—An Operator’s Perspective,” by Sathish Sankaran, David Wright, and Huan Gamblin, Anadarko, and Dhilip Kumar, iLink Systems, prepared for the 2017 SPE Annual Technical Conference and Exhibition, San Antonio, Texas, USA, 8–11 October. The paper has not been peer reviewed.
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Implementing an Integrated Production Surveillance and Optimization System

01 March 2018

Volume: 70 | Issue: 3


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