TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractThis paper demonstrates how I-Field capabilities were used to monitor in real time pre-injection performance of eight reservoirs across the three AFK fields. Focus will be on illustrating one I-Field workflow used to monitor injection from real time data gathering, validation, and mapping using Permanent Downhole Monitoring Systems (PDHMS), and integrated surface & subsurface modeling and data mapping packages. Additionally, the paper will address how integrated real time data and modeling results are used to optimize injection strategy for the three fields for more efficient real time reservoir management.

TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractThis 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 underperforming 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.

This paper demonstrates how intelligent Field (I-Field) capabilities, including the Enterprise Monitoring System (EMS), are being used in real time to monitor the performance of 11 reservoirs across three Saudi Aramco carbonate Fields to meet the required crude blend, and to provide alerts to engineers when certain reservoir engineering requirements or strategies are violated. Using a real Field example, the paper discusses in detail an I-Field workflow used to monitor reservoir performance during a pre-injection period, starting from real time data gathering, validation and mapping, using Permanent Downhole Monitoring Systems (PDHMS) and integrated surface and subsurface modeling along with data mapping packages. Finally, the paper illustrates how integrated real time data and modeling results are used to optimize production and injection strategies for the three Fields for more efficient real time reservoir management. Introduction During the planning phase for developing a new increment in Saudi Arabia (Figure 1), several challenges were identified suggesting the need for putting eight of the project's eleven reservoirs on power water injection to add reservoir energy prior to oil production start-up [1]. Tight flank permeability preventing enough aquifer support from reaching the crest area of the Field was identified to be a challenge for meeting production target of two of the eleven reservoirs. Long reach flank injectors with ± 2-km of reservoir exposure were recommended as the optimum solution to provide adequate injection rates to support producing area in two reservoirs [1]. Presence of a non-permeable tar mat across the flanks of the Field preventing aquifer support from reaching the producing area was identified to be a challenge for meeting production target of four of the eleven reservoirs. The need to drill or reactivate up-dip injectors placed ±30' above the tar-oil contact (TOC) was recommended as the optimum solution to provide adequate injection rates to support the producing area. Optimum well placement above tar was selected based on a massive data gathering project that was initiated to map the tar mat. Several studies were conducted to confirm minimum impact on ultimate recovery of wedge oil [2].

TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractThis 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 underperforming 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.

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