In the pursuit of driving production efficiency and profitability, ADNOC Upstream has embarked on a collaborative initiative with its group companies, to conceptualize, develop and implement Production Efficiency Improvement (PEI) digital tool for effective production governance and assurance. The initiative is aligned with ADNOCs ambition to leverage Oil and Gas 4.0 technologies and digitalization to achieve 5 MMBPD by 2030. This digital foundation comprise of process standardization, automation and analytical visualization to support the maximization of the integrated production potential, as well as optimization of uptime and availability of facilities, and driving continuous improvement. The existing systems and process are based on the traditional methods, which include reporting data in spreadsheet format and information through e-mails, and several tools, repository systems and databases. Traditional approaches carry several business limitations like inefficiency, long cycle time, inaccuracies in the data reporting, lack of management of change, sub-optimal planning and delay in decision making. PEI is being developed to address the challenges faced by the traditional processes, therefore further enhancing decision-making agility and robustness by automating workflows involving all stakeholders in ADNOC Onshore and HQ and enabling Digital Management of Change. This includes digital gathering of all technical information and storing it as single version of truth in Upstream Data Hub which provide reliable references among all Stakeholders. PEI digital tool automates and manages the workflow of three critical business processes through the following modules: Module 1 – Production Governance and Shutdown Assurance Module 2 – Production Deferrals Allocation and Reporting Module 3 – Investigation of Unplanned Events and tracking of actions The PEI solution has been designed following agile methodology, through a Proof of Concept, pilot and deployment across ADNOC Onshore assets in a staged manner directly involving relevant ADNOC Onshore stakeholders through an extensive collaboration as one integrated team. Shutdown plans can be optimized, and continuous improvement can be empowered, by automating production capacity plan submission and approvals, as well as introducing a system to track and manage changes proactively. A Pilot phase followed with participation of Adnoc Onshore and Adnoc Offshore, The system enables daily actual production reporting and track deviations from the FTR (field technical rate) High-impact unplanned events are automatically identified, to ensure resources are adequately allocated to their resolution. The investigation of these Unplanned Deferrals and High Potential Events is assured in the system, which allows to track investigations' progress, and effective management of these events. This approach aims to to support ADNOC Upstream to maximize the Field Technical Rate potential, optimize planned shutdowns, and minimize unplanned shutdowns, whilst optimizing the utilization of the available resources.

Exploration and Production companies are increasingly instrumenting their fields with the objective to proactively monitor and surveillance of its wells, reservoir, and facilities for safe and better operations. With this scenario, there is ever increase in the volume and variety of data being generated to support workflows such as real time drilling operations, production surveillance and reservoir monitoring. Data Analytics enables to get most value out of the vast volume of data being generated. In order to extend the present limits of digital oil field envelope from operations monitoring, companies need to harness data analytics to identify patterns, trends, correlation, forecasting out of its vast petroleum data. This includes exception based surveillance, case based reasoning, and condition based monitoring in order to facilitate advanced monitoring, and to support tactical and strategic decision-making process. To establish data analytics environment it requires systematic way of capturing, storing and managing data, integrating and embedding data analytics into the mainstream sub-surface, drilling, production and operations workflows which includes integrated reservoir monitoring, drilling and production optimization. Data analytics technology blends traditional data analysis with sophisticated algorithms and business rules for processing large volumes of diverse types through an Integrated Data Analytics Environment (IDE). Data governance is a vital part of IDE to ensure there is clear ownership and responsibilities as the accuracy of the results are as good as the quality of the data. IDE environment enables systematic harvesting of operational event, lessons learnt and best practices to enable knowledge based operations decisions. The integrated data analytics platform enables integrating E&P workflows and data analytics to enhance operations monitoring, predict well productivity, identify performance patterns and KPI, improve reservoir recovery factor, and predict equipment failure, towards achieving the objective of continuous optimization of oilfield performance.

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