Digital Oil Field Implementation in High-Pressure, High-Temperature Sour Environments: Kuwait Oil Company Challenges and Guidelines

Dashti, Qasem; Al-Jasmi, Ahmad; Qaoud, Bader Naser Al; Ali, Zaki; Bonilla, Juan Carlos G.

doi:10.2118/149758-ms

Cited by 13 publications

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“…Dashti et al (2012) list the challenges that the KwIDF project was designed to address, which include: minimize production shortfall, increase staff productivity, minimize delays to bring equipment back online, reduce delay time in response to alerts and alarms and, most importantly, enable collaboration across different disciplines and allow seamless open discussion. KwIDF provides a platform to increase effectiveness through automating work processes and to shorten observation-to-action cycle time.…”

Section: Kwidf Projectmentioning

confidence: 99%

An Automated "Smart Flow" for Tracking and Assigning Operational Accountabilities in Real Time

et al. 2013

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Intelligent digital oilfield (iDOF) operations include the transfer, monitoring, visualization, analysis, and interpretation of real-time data. Enabling this process requires a significant investment to upgrade surface, subsurface, and well instrumentation and also the installation of a sophisticated infrastructure for data transmission and visualization. Once upgraded, the system then has the capability to transfer massive quantities of data, converting it into real information at the right time.The transformation of raw data into information is achieved through intelligent, automated work processes, which are referred to here as "smart flows," which assist engineers in their daily well surveillance activities, helping make them more productive and improve decision making. A major oil and gas operator in the Middle East has invested in such an infrastructure and is developing a set of smart flows for key activities and workflows for its production operations, with the ultimate goal of improved asset performance.To actively report and follow-up on field tasks and actions (thereby minimizing non-productive time and the cost of lost opportunities), this solution includes a high-performance collaborative action-tracking smart flow to monitor field issues and results. This smart flow reports, and distributes actions to solve field operation anomalies, to implement engineering decisions, to manage generated alarms and alerts, and to create and track assignments. The smart flow enables an automated process that logs every alarm, advisory, and field action performed and has been customized for the operational environment of the operator with rules for ticket routing and assignments.This smart flow is integrated with other smart flows in the solution and provides a complete view of all tickets submitted, including both in-process and resolved, providing operational accountabilities across different groups within the company. This helps establish clear ownership of tasks and activities to foster a sense of responsibility and provide accountability.This paper provides details of the action-tracking smart flow in the integrated environment in which different groups within the company can effectively use the system, thus helping to optimize the company's field operation support activities.

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Section: Kwidf Projectmentioning

confidence: 99%

An Automated "Smart Flow" for Tracking and Assigning Operational Accountabilities in Real Time

et al. 2013

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“…Three pilot projects were started at the end of 2009 and early 2010 (Dashti et al 2012). Three pilot projects were started at the end of 2009 and early 2010 (Dashti et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Optimizing the Waterflooding Performance of a Carbonate Reservoir with Internal Control Valves

et al. 2013

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Intelligent digital oilfield (iDOF) operations include the transfer, monitoring, visualization, analysis, and interpretation of real-time data. Enabling this process requires a significant investment to upgrade surface, subsurface, and well instrumentation and also the installation of a sophisticated infrastructure for data transmission and visualization. Once upgraded, the system is then capable of transferring massive quantities of data, converting it into real information at the right time.The transformation of raw data into information is achieved through intelligent, automated work processes, which are referred to here as "smart flows." Smart flows assist engineers in their daily well surveillance activities, helping make them more productive and improve decision making. A major oil and gas operator in the Middle East has invested in such an infrastructure and is developing a set of smart flows for key activities and workflows for its production operations, with the ultimate goal of improved asset performance.In response to early water breakthrough, a study was commissioned to investigate whether smart completions that use down-hole internal control valves (ICVs) could provide a range of fluid-flow control options to enhance reservoir sweep efficiency, reduce produced water, and increase well life. This paper describes the strategy and process to identify production and injection wells best suited for intelligent well completions in the Sabriyah field, Mauddud reservoir. The goal is to control zonal injection and production rates to reduce uneven water fronts, sweep and produce bypassed oil, postpone water breakthrough, and extend well life, thus boosting oil production while optimizing water handling at the surface. The study demonstrates excellent potential for down-hole control to significantly improve operations in the water injection areas.

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Maximizing the Value of Real-Time Operations for Diagnostic and Optimization at the Right Time

et al. 2013

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Although oilfield workflow automation processes have been implemented in the oil and gas industry during the last decade, the full impact and value of these technologies has yet to be realized. Tremendous potential still exists to implement new technology to maximize production, increase operational efficiency, and reduce down time/non-productive time. The Kuwait Integrated Digital Field project (KwIDF) is a novel intelligent digital oilfield operation for Kuwait Oil Company, the operator of the Sabriyah field in North Kuwait. The project has successfully implemented improvements in field's operational efficiency by reducing the down time in artificial lift completion, increasing well productivity, and preventing water production. This paper provides an overview of the project from the perspective of field data acquisition, data analysis, model analysis, diagnostics, and operational optimization conducted in "right time" in the operator's state-of-the-art collaboration center. The automated workflow system orchestrates integrated solutions that not only provide monitoring in real time, but also enable diagnostics and optimization for individual wells. The automated workflow integration and orchestration conducted by the production team within a collaborative work environment covers the following aspects described in this paper: production surveillance (including alarming and alert events), well performance, production losses, artificial lift optimization, and key performance monitoring.

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Digital Oil Field Implementation in High-Pressure, High-Temperature Sour Environments: Kuwait Oil Company Challenges and Guidelines

Cited by 13 publications

References 0 publications

An Automated "Smart Flow" for Tracking and Assigning Operational Accountabilities in Real Time

An Automated "Smart Flow" for Tracking and Assigning Operational Accountabilities in Real Time

Optimizing the Waterflooding Performance of a Carbonate Reservoir with Internal Control Valves

Maximizing the Value of Real-Time Operations for Diagnostic and Optimization at the Right Time

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