Integrated Automation and Data-Driven Workflow for CO2 Project Management – Case Study from a Smart Oil Field in the Middle-East

Automation and data-driven models have been proven to yield commercial success in several oil fields worldwide with reported technical advantages related to improved reservoir management. This paper demonstrates the implementation of an integrated workflow to enhance CO2 injection project performance in a giant onshore smart oil field in Abu Dhabi. Since commissioning, proactive evaluation of the reservoir management strategy is enabled via smart-exception-based surveillance routines that facilitate reservoir/pattern/well performance review and supporting the decision making process. Prolonging the production sustainability of each well is a key pillar of this work, which has been made more quantifiable using live-tracking of the produced CO2 content and corrosion indicators. The intensive computing technical tasks and data aggregation from different sources; such as well testing and real time production/injection measurements; are integrated in an automatic workflow in a single platform. Accordingly, real-time visualizations and dashboards are also generated automatically; to orchestrate information, models and multidisciplinary knowledge in a systematic and efficient manner; allowing engineers to focus on problematic wells and giving attention to opportunity generation in a timely manner. Complemented with numerical techniques and other decision support tools, the intelligent system data-driven model assist to obtain a reliable short-term forecast in a shorter time and help making quick decisions on day-to-day operational optimization aspects. These dashboards have allowed measuring the true well/pattern performance towards operational objectives and production targets. A complete set of KPI's has helped to identify well health-status, potential risks and thus mitigate them for short/long term recovery to obtain an optimum reservoir energy balance in daily bases. In case of unexpected well performance behaviors, the dashboards have provided data insights on the root causes of different well issues and thus remedial actions were proposed accordingly. Maintaining CO2 miscibility is also ensured by having the right pressure support around producers, taking proactive actions from continues evaluation of producer-injector connectivity/interdependency, improving injection/production schedule, validating/tuning streamline model based on surveillance insights, avoiding CO2 recycling, optimizing data acquisition plan with potential cost saving while taking preventive measures to minimize well/facility corrosion impact. In this work, best reservoir management practices have been implemented to create a value of 12% incremental oil recovery from the field. The applied methodology uses an integrated automation and data-driven modeling approach to tackle CO2 injection project management challenges in real-time.

Designing digital transformation of department educational environment

Digital transformation of modern educational environment is stipulated by recently occurred changes and intellectualization of information systems of various ecosystems. The aim of this study is development of methodology of design and implementation of digital technologies oriented at integral automation of department educational environment. Using the methods of system analysis, project management and simulation, the content and structure of digital component of this environment were analyzed, aiming at efficient formation of high-quality professional competences of graduates. The experimental results allow to substantiate composition of the required functional units. On the basis of the obtained data, the project concept of department educational environment is proposed, the activity of which is supported by integrated automation system of all information processes. Scientific novelty of the performed study is determined by that the existing automation system of educational environment in fact does not impact department level of information processes. On the basis of analysis of information processes of department level and existing technologies of their automation, a new methodological approach is proposed to conceptualization, development and implementation of fully functional digitalization system of department educational environment. The significance of the proposed approach is comprised of opportunity to integrate digital and content components of educational environment for improvement of education quality.

Application of automated systems for quality control of ground anti-icing treatment of aircraft

For the first time, this paper addresses the need to automate the maintenance of the quality control and control system at all stages and stages of the life cycle - anti-conduct fluid (POJ) for ground-based anti-de-dealing treatment (POO) of an aircraft. The possibility of evolution of the quality control of the object of ground de-icing physical and chemical treatment of the surface of the aircraft - de-icing liquids, in “Management of quality - de-icing liquid as an object to ensure the safe take-off of the aircraft” is considered. The definition was introduced: “The quality of de-icing liquid.” To integrate into the system “Management of the quality of de-icing fluid” - on the basis of knowledge bases about THE POJ introduced as a functional concept “The quality of de-icing liquid at the POO stage”. In order to introduce information software support for the POO process using databases and control systems, the concept of “Regeloscopic Ground De-Icing Protection Program of the Armed Forces” has been introduced, which will allow and move to an effective method of improving the quality of the service - integrated automation of the POO.