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The ever-increasing need for resilient strategies demands the supreme understanding of business uncertainties and the execution risks. For the National Oil Companies like, ADNOC, the annual reservoir performance review (ARPR) is a process of paramount importance, as it provides a holistic overview of the reservoir performance status for each ADNOC field on yearly basis. It unfolds the subsurface performance issues, uncertainties and risks, and steers the decisions of Business Plan sanctions. The ARPR execution demands a tremendous amount of time and effort to assimilate information and create a consolidated decision support package. In the absence of an automated process, the creation of insightful analytics, proper tracking of actions and maturation of value-driven opportunities become unmanageable. Thus, the automation of the process asserted to demonstrate a significant reduction of the data preparation time, increased multidisciplinary collaboration, centralized data archiving and integrated dashboard generation. A multidisciplinary team of ADNOC's subject matter experts joined forces to develop a fit-for-purpose automated solution (i-ARPR) that underpins a sophisticated subsurface knowledge bank that leverages advanced analytics and digital technologies to integrate key reservoir performance parameters automatically and provides insights to support crucial business decisions. It allows users to collaborate via an automated guided web-based workflow to build the analyzed content for the ARPR report for a given Field, using data previously loaded and approved. The content is built bottoms-up from a defined list of Elements (Plots, Tables, Images and Text) along with analysis and insights contributed by Subject Matter Experts (SME's), into sections of the report that are collated and further expanded with insights and conclusions by designated Sections Editors. The solution enables assigning tasks to users at various supervisory and coordinating levels through an automated governance system. It provides means to monitor the progress of the work, approve the content of Elements and Sections, and review the concatenated ARPR document for final approval. All the integrated analyses get stored into the corporate repositories for any future utilization in data mining and advance analytics workflows. The automated solution (i-ARPR) has enabled efficient data gathering, and its visualization has fostered multidisciplinary collaboration and has provided 66% more time to the engineers to analyze the information for identifying risks and opportunities. Over $50 Million OPEX saving is estimated during the first three years of the project implementation in 17 upstream assets within the ADNOC Group.
The ever-increasing need for resilient strategies demands the supreme understanding of business uncertainties and the execution risks. For the National Oil Companies like, ADNOC, the annual reservoir performance review (ARPR) is a process of paramount importance, as it provides a holistic overview of the reservoir performance status for each ADNOC field on yearly basis. It unfolds the subsurface performance issues, uncertainties and risks, and steers the decisions of Business Plan sanctions. The ARPR execution demands a tremendous amount of time and effort to assimilate information and create a consolidated decision support package. In the absence of an automated process, the creation of insightful analytics, proper tracking of actions and maturation of value-driven opportunities become unmanageable. Thus, the automation of the process asserted to demonstrate a significant reduction of the data preparation time, increased multidisciplinary collaboration, centralized data archiving and integrated dashboard generation. A multidisciplinary team of ADNOC's subject matter experts joined forces to develop a fit-for-purpose automated solution (i-ARPR) that underpins a sophisticated subsurface knowledge bank that leverages advanced analytics and digital technologies to integrate key reservoir performance parameters automatically and provides insights to support crucial business decisions. It allows users to collaborate via an automated guided web-based workflow to build the analyzed content for the ARPR report for a given Field, using data previously loaded and approved. The content is built bottoms-up from a defined list of Elements (Plots, Tables, Images and Text) along with analysis and insights contributed by Subject Matter Experts (SME's), into sections of the report that are collated and further expanded with insights and conclusions by designated Sections Editors. The solution enables assigning tasks to users at various supervisory and coordinating levels through an automated governance system. It provides means to monitor the progress of the work, approve the content of Elements and Sections, and review the concatenated ARPR document for final approval. All the integrated analyses get stored into the corporate repositories for any future utilization in data mining and advance analytics workflows. The automated solution (i-ARPR) has enabled efficient data gathering, and its visualization has fostered multidisciplinary collaboration and has provided 66% more time to the engineers to analyze the information for identifying risks and opportunities. Over $50 Million OPEX saving is estimated during the first three years of the project implementation in 17 upstream assets within the ADNOC Group.
ADNOC has development and implemented a robust automated sector performance review (SPR) process using state-of-the-art analytics and business process management tool (Khan et al., 2019). In this paper, we will present the achieved results and the defined opportunities by implementing SPR across some targeted reservoirs during the previous last 2 years. With the necessity of having analysis at sector level, the main objective of this work is to conduct an integrated reservoir dynamic synthesis, identify all challenges and opportunities to come up with robust and practical action plan aiming for best reservoir management and ultimately obtain best oil recovery by sector. Applying Integrated Reservoir Management (IRM) Workflow on Giant Onshore Field, It was decided to start the project on one major Reservoir A (divided by 3 sectors) as a project pilot. First data were collected from operations database, data management in spreadsheets, simulation output format, maps and images. All data were organized into the automated SPR workflow through a web based Business Process Management (BPM) that provided mechanism for the user to load, validate and approve technical data. Setting the workflow to focusing on analyzing the reservoir performance at sector level, the data is illustrated in an integrated visualization environment including panels for the reservoir KPI, production plan compliance status and reservoir pressure maintenance, diagnostic plots, production and injection summary, etc., opening the possibility for the user to identify new opportunities and areas that needs further investigations. Few key enhancements are listed and were suggested to the solution as a next phase. Following a methodical SPR automated workflow these conclusion are drawn: Technical data can be approved with appropriate notification for task execution. Data processing cycles, visualization and performance analysis dashboard time frame was reduced. It was identify the underperforming areas into the sectors. The Opportunity Management proactive system was used to identify reservoir profitable opportunities through a centralized platform. Action plans include well and surface intervention. 20% of the activities were successfully implemented and provided significant added values. Implementation of the automated SPR workflows as part of Digital technologies is renovating the traditional work process into very effective and advanced analytics and has achieved excellence in reservoir management and reserves recovery.
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