A Novel Digital Framework for Intelligent and Real-Time Water Injection System Management

Abstract

Abstract In line with ADNOC production growth strategy, water injection management is seen as one of the key field development strategies to achieve the mandated production target as it will maintain reservoir pressure as well as improve sweep efficiency and increase field recovery factor. In view of this, it is crucial to ensure an effective integrated water injection system with sufficient water supply capacity is in place. ADNOC Onshore has set-up unique digital framework to manage the system with increased levels of consistent production through increased uptime, while also reducing maintenance costs and lowering overall risk This digital framework integrated with three types of analytics that businesses use to drive their decision making. Real time monitoring has been implemented as a foundation layer for water injection system consisting of water supply wells, surface pumps and water injection wells. Descriptive Analytics uses data aggregation and data mining to provide insight into the past such as down time analysis & down time root causes. These analytics are useful because they allow us to learn from past behaviors and understand how they might influence future outcomes. The next layer is predictive Analytics, which uses statistical models and forecasting techniques to understand the future. The failure prediction models have been implemented to predict ESP failures in water supply wells and pump failures in surface pumps. This provides actionable insights based on data. The relatively new field of prescriptive analytics allows users to "prescribe" several different possible actions and guide them towards a solution. In a nutshell, these analytics are all about providing advice. Prescriptive analytics attempts to quantify the effect of future decisions to advise on possible outcomes before the decisions are made. This framework integrates all essential elements of water injection surveillance and analysis into a fully digitized intelligent system, it significantly reduces total operating costs, and substantially decreases production risks. This intelligent system has been implemented across multiple fields consisting of several hundred injectors and supply wells. Digital transformation is changing the way operates on a scale for managing water injection system. The comprehensive real-time and near-real-time reporting the system provides gives an unparalleled level of transparency into all the daily field operations that are carried out on their assets, directly and unfiltered from the sensors and digitized processes. This paper describes the unique digital framework aligned with data analytics for managing water injection system.