Intelligent Integrated Dynamic Surveillance Tool Improves Field Management Practices
- Saud Mohammed Al-Fattah (Saudi Aramco) | Mohammed Dallag (Saudi Aramco) | Rami Ahmed Abdulmohsin (Saudi Aramco) | Wael Ateeq Al-Harbi (Saudi Aramco) | Mohammed Ben Issaka (Saudi Aramco)
- Document ID
- Society of Petroleum Engineers
- Intelligent Energy Conference and Exhibition, 11-13 April, Amsterdam, The Netherlands
- Publication Date
- Document Type
- Conference Paper
- 2006. Society of Petroleum Engineers
- 5.6.9 Production Forecasting, 7.6.1 Knowledge Management, 5.1 Reservoir Characterisation, 5.5 Reservoir Simulation, 5.6.4 Drillstem/Well Testing, 4.4.2 SCADA, 1.8 Formation Damage, 4.3.4 Scale, 5.4.1 Waterflooding, 3.2.6 Produced Water Management, 3 Production and Well Operations, 5.5.2 Core Analysis, 5.2.1 Phase Behavior and PVT Measurements, 5.6.1 Open hole/cased hole log analysis, 5.8.7 Carbonate Reservoir
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This paper describes solutions developed using a dynamic surveillance tool to automate several workflow processes of the reservoir management, production engineering, and R&D Center at Saudi Aramco. The objective is to provide improved efficiency in field management practices, while enhancing collaboration between reservoir and production engineers; ultimately resulting in improved decision-making process.
The solutions provided include a combination of smart tools and automated workflows designed to improve reservoir management and surveillance processes. A candidate recognition system was developed to identify and flag problem wells that require immediate remediation. As new production and injection data become available, the system that is linked to the corporate database can automatically display these data for fast and rigorous validation. In addition, a formation damage indicator function is also calculated using field data and mapped to spot production problem areas and identify damaged wells. A daily surveillance tool, which compares the performance of individual wells to the average performance of a group of wells, is also provided to allow the reservoir and production engineers to easily identify under-performing wells, promptly intervene, and recommend best completion practices. Benefits include efficient well management and cost avoidance resulting from early intervention and remediation, while avoiding full-scale problem resolution.
Another dynamic surveillance tool was designed and views were developed to provide online access to the hydrocarbon phase behavior and petrophysical data for the R&D scientists and reservoir engineers. The tool allows integration of the hydrocarbon phase-behavior data and comparison of petrophysical data with historical production/injection data and production well logs, resulting in enhanced analysis, production optimization and data validation. Additional benefits of the smart tools and automated workflow processes include considerable timesavings, with pertinent data being automatically updated, validated and used in the analysis, leading to improved efficiency in field management practices.
It is generally accepted that most of the reservoir and production engineers' time is spent in searching, collecting, checking, and integrating reservoir and production data. Less time is spent by engineers on analysis and interpretation. Each engineer uses different tools in gathering this data, resulting in less collaboration and possible repetition of tasks. One of the main objectives of the integrated dynamic surveillance tool is to reduce the spent time on data gathering; letting engineers focus on data analysis and interpretation rather than data collection, leading to more efficient use of their time and increased collaboration between reservoir and production engineers. In this paper, four sets of tools are provided to automate reservoir management and surveillance, monitor production data, provide an integrated online access to hydrocarbon phase behavior and petrophysical data, and to manage well test knowledge.
Reservoir Management and Surveillance Tools
One of the reservoir engineer's main tasks is to manage the reservoir as efficiently as possible in order to prolong the life of the reservoir, while maximizing hydrocarbon recovery. Our aim is to provide the engineer with the necessary software tools to automate their workflow processes, while integrating computing processes and data, based on multidisciplinary asset team approach. Some of the tools developed to aid in this task include a remedial well analysis tool, a water management tool, a heterogeneity index tool, a formation damage indicator, and an integrated reservoir analysis tool.
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