This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 191951, “A Smart Software System for Flow-Assurance Management,” by Akanksha Jain, SPE, Nilay Patel, SPE, Paul Hammonds, and Shirish Pandey, Cairn Oil and Gas, prepared for the 2018 SPE Asia Pacific Oil and Gas Conference and Exhibition, Brisbane, Australia, 23–25 October. The paper has not been peer reviewed. Access to real-time production and injection data is of great benefit to the production optimization engineer. This paper describes a smart management system used for retrieving and evaluating all flow-assurance-related data for more than 700 of the operator’s onshore and offshore wells. The paper discusses system architecture, interface details, design, functionality, visualization, application, and benefits. Introduction Cairn Oil and Gas is the operator of three major blocks currently producing in India: Block RJ-ON-90/1 (Rajas-than), CB/OS-2 (Cambay Basin), and PKGM-1 (Ravva) constituting more than 700 wells, operated on behalf of its joint venture partners. These wells are either self-flowing or use a variety of•• artificial-lift systems. Waterflooding provides pressure maintenance in most fields. Injectivity of water injectors is, therefore, critical in maintaining levels of water injection required to achieve the stipulated recovery factor. Formation fluids have physical and chemical properties that have posed several flow-assurance challenges over time with regard to outflow performance and processing in surface facilities. These flow-assurance issues include inorganic scaling, organic scaling, corrosion, sand production, injectivity decline, and injector conformance, all of which can affect productivity and injectivity of the fields and thus lead to relatively inefficient waterflood. The Challenge Various software products are currently in use for management of operations requiring production- and injection-enhancement treatments in different fields. To ensure that wells are operating optimally, an integrated approach combining robust monitoring and data analysis of parameters affecting well performance is ideal. This was previously achieved through the cumbersome process of data retrieval from different sources, which was then compiled in different Excel spreadsheets. This time-consuming process delayed analysis and permitted errors in data input. As the importance of improving the quality of data management and analysis became clear, the need arose for automation of flow-assurance management across all assets. The platform described in this paper was intended to help design, evaluate, and monitor all chemical-intervention jobs, and monitor corrosion levels and scale-inhibitor squeeze performance by incorporating data from various sources within the production system. The analysis of the data enabled by this fully automated Web-based software helps in the execution of cost-effective treatments and well-production optimization. The same software system is also being used for well-integrity management for•all assets.