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The complexity of the recovery mechanism generally increases with the maturation of a producing field; therefore, the granularity of the reservoir analysis must increase proportionally to better understand the well and reservoir dynamics. ADNOC's Integrated Reservoir Management (IRM) Framework has instituted a set of workflows to focus on analyzing the reservoir performance at the sector level to assure reservoir performance sustainability. ADNOC has developed and implemented a robust automated Sector Performance Review (SPR) process using state-of-the-art analytics and business process management tool. The main objective of this work is to foster collaboration among multiple disciplines to assess the reservoir performance, as well as, to identify, interpret and implement profitable opportunities through a centralized platform (Al Marzouqi et al, 2017). A unique process has been implemented in the five major assets of the ADNOC group, which covers approximately 50% of UAE overall production. The system leverages an automated integration of subsurface data from numerous sources; live analytics visualization provides reservoir performance insights on the sector level through automatically calculated KPIs and diagnostic trends. (Al Marzouqi et al, 2018). The integrated interface helps the multidisciplinary teams to identify the value-driven opportunities; the ranking and the feasibility analysis of these opportunities are governed by a closed-loop maturation process that involves the formal approval processes in order to obtain approval or authorization for action. The solution offers an innovative way to establish collaboration among different assets to assimilate reservoir performance insights through a sustainable platform. Some of the immediate benefits include the effective execution of a reservoir management scheme, monitoring the variance between actual and anticipated performances during the course of projects, and assuring production target compliance whilst mitigating the shortfalls proactively. In fact, a reservoir level analysis tool (RPR) was piloted during 2017 and presented in SPE-193012-MS. However, with the necessity of having analysis at the sector level, the overall design of the solution is transformed to allow the users to carry out the analysis at sector and well level granularity. The SPR (Sector Performance Review) is enabling the achievement of a consistent approach across all assets for all subsurface performance review processes while improving efficiency through automation of data gathering and presentation and the identification of all underperforming reservoir, sectors, and wells.
The complexity of the recovery mechanism generally increases with the maturation of a producing field; therefore, the granularity of the reservoir analysis must increase proportionally to better understand the well and reservoir dynamics. ADNOC's Integrated Reservoir Management (IRM) Framework has instituted a set of workflows to focus on analyzing the reservoir performance at the sector level to assure reservoir performance sustainability. ADNOC has developed and implemented a robust automated Sector Performance Review (SPR) process using state-of-the-art analytics and business process management tool. The main objective of this work is to foster collaboration among multiple disciplines to assess the reservoir performance, as well as, to identify, interpret and implement profitable opportunities through a centralized platform (Al Marzouqi et al, 2017). A unique process has been implemented in the five major assets of the ADNOC group, which covers approximately 50% of UAE overall production. The system leverages an automated integration of subsurface data from numerous sources; live analytics visualization provides reservoir performance insights on the sector level through automatically calculated KPIs and diagnostic trends. (Al Marzouqi et al, 2018). The integrated interface helps the multidisciplinary teams to identify the value-driven opportunities; the ranking and the feasibility analysis of these opportunities are governed by a closed-loop maturation process that involves the formal approval processes in order to obtain approval or authorization for action. The solution offers an innovative way to establish collaboration among different assets to assimilate reservoir performance insights through a sustainable platform. Some of the immediate benefits include the effective execution of a reservoir management scheme, monitoring the variance between actual and anticipated performances during the course of projects, and assuring production target compliance whilst mitigating the shortfalls proactively. In fact, a reservoir level analysis tool (RPR) was piloted during 2017 and presented in SPE-193012-MS. However, with the necessity of having analysis at the sector level, the overall design of the solution is transformed to allow the users to carry out the analysis at sector and well level granularity. The SPR (Sector Performance Review) is enabling the achievement of a consistent approach across all assets for all subsurface performance review processes while improving efficiency through automation of data gathering and presentation and the identification of all underperforming reservoir, sectors, and wells.
Reservoir management guidelines are an enabler of, production sustainability, assurance to reservoir health and high ultimate recovery. Monitoring the compliance of the field production against the set of reservoir management guidelines is one of the key processes for ADNOC, being a governing body of major U.A.E. hydrocarbon producing fields. With the business need to ramp up production, field maturation, and the associated operational challenges, it is critical for ADNOC to effectively monitor and regulate its field production plans to assure the long-term production sustainability. In this regard, ADNOC has developed a robust framework that is implemented through an automated analytics platform that enables different ADNOC technical teams to effectively monitor and report the compliance status of each hydrocarbon barrel from produced from ADNOC assets. The paper highlights the features of the workflow implemented, the management of change strategy and the business value created. The automated process allows the consolidation of a variety of well, reservoir and field-level data. The analytical platform enables integrated analysis, KPI calculation and interactive visualization. The framework assesses the compliance based on three governing parameters: well technical rate, gas-oil ratio (GOR), and bottom hole flowing pressure. The compliance analysis is carried out on a monthly basis where the monthly back allocated production data for each well is compared with the set of operating guidelines in an automated data analytics and visualization environment. A pragmatic compliance tolerance is considered in the calculations to accommodate the measurement inaccuracies, as well as the operational limitations while allowing flexibility to exclude nonconformity with valid reasons. The overall process is governed through an automated business process management (BPM) platform, which seamlessly regulates the predefined subroutines among different stakeholders to report and track different corrective actions in a timely manner. The framework implementation has strengthened the overall compliance governance process; and has been instrumental to properly manage asset production capacity in a systematic manner. This has subsequently enabled the preparation of a prompt action plan and has improved the operating efficiency of more than 3% within the first six months of implementation, through restoring, compensating and increasing the effective capacity of overall ADNOC Production. The approach has demonstrated great value both in terms of process alignment, as well as from the production assurance standpoint at a country level, and allows the organization to have an established system, which provides: Consistent compliance monitoring standardsMinimal subjectivityComplete process governanceQuick turnaround timeAuditable history The aim of this paper is to publish a stepwise guide for any operators who might be interested to adopt and implement a similar approach to assure the long-term production sustainability and health of their assets.
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.
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