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Summary The Balder field is typically completed with long, horizontal wells. In the initial development of the field the wells were typically completed with stand-alone screens (SAS), in later developments they were completed with nozzle inflow control devices (ICD), and recently with autonomous inflow control devices (AICD) to mitigate early water breakthrough. The purpose of this study is to assess the implementation of autonomous inflow control valves (AICV) to further mitigate unwanted fluid production and enhance the long-term oil recovery in the field. The study employed numerical reservoir simulation tools and static wellbore simulators to model the Balder field. Simulations were performed both on a sector model around the target well, to reduce simulation time, and on the full-field reservoir model. Two different dynamic reservoir simulators were used. Reservoir simulation tools were used to compare a base case scenario of SAS completion with AICVs. AICV wells require proper compartmentalization, and 3, 5, and 7 compartment scenarios were considered. Simulation results show how the AICV completion retains the reservoir pressure in the initial years of production compared to the SAS. This leads to a significant reduction in early gas breakthrough, reducing the overall gas production. Moreover, the water production after breakthrough was also reduced. Water and gas production is reduced more by having more compartments, which indicates that proper isolation of the wellbore is key to optimize the production of a well. The simulation results from a hydrodynamic sector model aligned with the full field model, and the near wellbore model reproducing observed pressure drop across the AICVs assessing the robustness of the workflow for device modeling in simulators. The study provides a workflow for performing dynamic reservoir simulations using AICV completion. It covers how compartmentalization affects the overall productivity of a well, and how AICVs work for optimizing the inflow from the reservoir to an oil well. Moreover, the study analyzes the impact of the reservoir model grid size on the lower completion evaluation. Important design decisions are based on physics in the reservoir and can be applied to other fields.
Summary The Balder field is typically completed with long, horizontal wells. In the initial development of the field the wells were typically completed with stand-alone screens (SAS), in later developments they were completed with nozzle inflow control devices (ICD), and recently with autonomous inflow control devices (AICD) to mitigate early water breakthrough. The purpose of this study is to assess the implementation of autonomous inflow control valves (AICV) to further mitigate unwanted fluid production and enhance the long-term oil recovery in the field. The study employed numerical reservoir simulation tools and static wellbore simulators to model the Balder field. Simulations were performed both on a sector model around the target well, to reduce simulation time, and on the full-field reservoir model. Two different dynamic reservoir simulators were used. Reservoir simulation tools were used to compare a base case scenario of SAS completion with AICVs. AICV wells require proper compartmentalization, and 3, 5, and 7 compartment scenarios were considered. Simulation results show how the AICV completion retains the reservoir pressure in the initial years of production compared to the SAS. This leads to a significant reduction in early gas breakthrough, reducing the overall gas production. Moreover, the water production after breakthrough was also reduced. Water and gas production is reduced more by having more compartments, which indicates that proper isolation of the wellbore is key to optimize the production of a well. The simulation results from a hydrodynamic sector model aligned with the full field model, and the near wellbore model reproducing observed pressure drop across the AICVs assessing the robustness of the workflow for device modeling in simulators. The study provides a workflow for performing dynamic reservoir simulations using AICV completion. It covers how compartmentalization affects the overall productivity of a well, and how AICVs work for optimizing the inflow from the reservoir to an oil well. Moreover, the study analyzes the impact of the reservoir model grid size on the lower completion evaluation. Important design decisions are based on physics in the reservoir and can be applied to other fields.
A tracer technology system was integrated with AICD/ICD completions in 2 horizontal offshore wells with a dual objective to assess performance of each individual inflow control device and to obtain long-term dynamic data of the well inflow profile. As a measure of water control, ICD (Inflow Control Device) technique is widely applied in the eastern oilfield in the South China Sea, AICD (Autonomous Inflow Control Device) technology is also gaining wider recognition. At the same time, it is very difficult to evaluate the application effect of ICD/AICD, and there is no unified evaluation criteria and methods. This solution assumes equipping each inflow control device with a set of marker indicators (tracers of unique signatures) enabling to obtain inflow profile in numerical terms with unique identification of a source of water breakthrough (specific ICD/AICD) in the horizontal lateral of the well. Selected technologies showed good compatibility. The design of ICD/AICD allows easy incorporation of tracer material. Inflow profile can indicate each individual device working condition over a long period. The tracer analysis provides quantitative data showing the flow composition and each liquid phase contribution from every device. The large number of unique marker signatures allowed to trace every single device (25 with ICD and 37 with AICD in the study wells). Data combined from the performance of all ICDs/AICDs within one zone of the well horizontal section (3 zones in total of the study well) shows production profile of the well and helps with reservoir characterization to provide recommendations for improving field development management efficiency. The key feature of the method is the possibility to measure the performance of each inflow control device and production contribution and phase composition coming from each zone of the well. Being a long term interventionless monitoring solution the combination of technologies (ICD/AICD + marker monitoring) allows to understand what impact different operational modes and working regimes of AICD have on the production and zonal contribution and select the most optimal regime to achieve production goals.
The field is located in the south of Sultanate of Oman and was discovered in 1980 The field produces from sandstone reservoirs a heavy crude with high viscosity (up to 2000 cP) value that contains no appreciable solution gas. Production is supported by a bottom active water drive aquifer. An unfavourable mobility contrast between the oil and formation water results in rapid water breakthrough and a large portion of a well's reserves are produced at high water cuts. The average economic limit of wells in the field is about 98% water cut. Thus, water management plays a key role in well economics. The new horizontal producer wells target is to drain by-passed oil with only 30 ~ 80 m spacing. Injectors are at the flank and are injecting deep into the aquifer. Water breakthrough occurs at high sand permeability and once happened; water will dominate well production due to unfavourable mobility ratio. Some of the new producer wells are completed with Wire-Wrapped Screen (WWS) – Stand Alone Screen, and swellable packers to isolate higher water-saturated zones. However, most of these wells start typically with a 60% water cut (BSW) or more and rapidly reach +90%. To overcome current reservoir/production challenges; The operator has used the latest Autonomous Inflow Control Device (AICD) Technology called Autonomous Inflow Control Valves (AICV). ICD's and previous generation Autonomous Inflow Control Devices (AICD) has shown in many cases increased oil production and higher recovery with better fluid influx balance along the well. However, neither ICD nor AICD can shut off the water production completely without well intervention. The AICV can restrict unwanted water significantly and autonomously. The AICV are based on different flow behaviour for laminar and turbulent flow that is utilized in a pilot flow to actuate a piston position to restrict unwanted fluids. The design with two parallel flow paths ensures the AICV is open for oil, and close for water autonomously. The AICV technology is based on Hagen-Poiseuille and Bernoulli's principles and is truly autonomous as it can identify the fluid flowing through it based on fluid properties such as viscosity, density and flowrate. For unwanted fluid such as water and Gas, AICV can generate enough force that will shut off the device if required. This makes it more robust than any other commercially available AICDs. AICV effect is reversible i.e. when the saturation of unwanted fluid (Sg or Sw) around the wellbore reduces, AICV will re-open for the oil production, thus draining all possible oil around the wellbore. In this paper, AICV performance will be discussed and comparative analysis with production performance of wells completed with WWS completed in the same reservoir will be presented. Based on the regular well testing and production analysis, it is evident that AICV technology has helped the operator in managing/shutting off the unwanted water production autonomously. This new AICV technology has the core application principles of ICD completions but the additional benefit of improved control/complete water shut-off without intervention; zero cost water shut-off operation and helps drain by-passed oil and thus maximizes recovery factors.
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