--> Leveraging Digitization To Achieve Operational Certainty

AAPG Middle East Region GTW, Digital Subsurface Transformation

Datapages, Inc.Print this page

Leveraging Digitization To Achieve Operational Certainty

Abstract

This presentation covers • The typical challenges faced by the Industry in adopting Digitization Technologies • Identifying biggest opportunities for leveraging Digitization to achieve Operational Excellence with focus on ROI • Examples of Applications and Successes achieved by End Users Industries • Focus will be on Asset Integrity, Equipment Performance, Process Measurements and Safety Content: Industry benchmarks reveal that there is a significant opportunity for Process Industries to improve their earnings by moving to Top Quartile Operational performance. Today, end users want to leverage Digitization Technologies to improve their operational performance: Reduce Operating Costs, Enhance Plant Availability, Maximize Production, Improve Safety and Comply with Environmental Regulations. Most importantly, they want to be able to make important decisions in a timely manner. When it comes to investment on any new technology, key questions that need to be answered are – Is there a Business Case, is it Proven and what is the ROI? Can the existing infrastructure be leveraged? This presentation provides an approach to establish a prioritized business case for deployment of digitization technologies. The process involves working collaboratively with key stake holders at the end user site or enterprise. The approach leverages on Industry experience and guidance from Industry Benchmarks, to address highest impact opportunities on a plant’s operational performance. Expectations from Digitization: Digitization must provide a platform that leverages Industrial IoT to enable Operational Excellence. It should be a scalable architecture that ensures return on investment at every stage. This enables the users to start small, get early success and expand it plantwide, or even across an enterprise, connecting multiple locations. Layers of Digital Ecosystem • Sensing or the data layer, consisting of innovative sensors that are cost effective, easy to install and maintain, to provide reliable real-time data. Non-intrusive and cost-effective sensors are preferred, where possible so that they can be at locations, that are hard to access using conventional methods. These sensors will primarily be used to fill the gap of missing measurements, that are essential to complement the already available data for meaningful Analytics. • Secure Gateways / Data interfaces which allows secure export of data from new and existing systems to the Analytics Applications located anywhere in the Enterprise or in some cases, even outside the Enterprise in a Private or 3rd party platform / Cloud based environment. • Suite of Analytics applications that provide actionable information to take timely decisions. These applications must leverage existing infrastructure and data already available to the extent possible to reduce cost. • Platform must be capable of providing these actionable information to the various plant persona in templates specific to their function at the Relevant time. • Connectivity to Subject Matter Experts within or outside the enterprise to securely access site data, perform expert analysis and provide timely and actionable reports back to the site. The Digital Ecosystem must be scalable – one can start small with monitoring of a few critical points, realize ROI, get confidence and expand plantwide. Applications can be hosted in a traditional on-premise environment OR a centralized integrated operations center within the end user enterprise for access by end user experts OR hosted in the cloud with access to 3rd party Subject Matter Experrs. The presentation will cover Typical Applications used by Oil & Gas Production, Midstream, Refining and Petrochemical Industries and the results achieved will be shared.