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Oil and gas operators on the Norwegian Continental Shelf (NCS) are working to reach goals of reduced CO2 emissions associated with production of hydrocarbons. Emissions from offshore operations mainly comes from generation of power required for processing and drainage of the oil and gas fields. Therefore, one option for reducing emissions is to reduce the energy consumption associated with water injection and production. Inflow control devices and smart wells have traditionally been used to increase oil production. They can also have benefits like reducing need for lifting produced water to platform and reducing volume of injected water necessary to maintain production. The LowEmission Centre (LowEmission) is an eight-year research program managed by SINTEF that aims to develop technologies and solutions for reduced offshore greenhouse gas emissions on the NCS in line with the emission goals of the government and the petroleum industry. This paper presents work performed in the centre on modelling and simulating the effect of autonomous inflow control devices on oil and water production profiles and on energy use for water injection. The largest potential for this technology seems to be for long horizontal wells with autonomous devices that can discriminate between and constrain selected phases flowing into the well. The specific inflow technology investigated can discriminate between phases based on their (reservoir) densities. Reducing water production will reduce the need for lift in wells with high water production. It is demonstrated that a reduction in water production will also reduce the need for water injection, giving opportunities for reduced energy use in the drainage process. Restricting water production can also give a reduced oil production rate, however this reduction is modest compared to the reduction in water production.
Oil and gas operators on the Norwegian Continental Shelf (NCS) are working to reach goals of reduced CO2 emissions associated with production of hydrocarbons. Emissions from offshore operations mainly comes from generation of power required for processing and drainage of the oil and gas fields. Therefore, one option for reducing emissions is to reduce the energy consumption associated with water injection and production. Inflow control devices and smart wells have traditionally been used to increase oil production. They can also have benefits like reducing need for lifting produced water to platform and reducing volume of injected water necessary to maintain production. The LowEmission Centre (LowEmission) is an eight-year research program managed by SINTEF that aims to develop technologies and solutions for reduced offshore greenhouse gas emissions on the NCS in line with the emission goals of the government and the petroleum industry. This paper presents work performed in the centre on modelling and simulating the effect of autonomous inflow control devices on oil and water production profiles and on energy use for water injection. The largest potential for this technology seems to be for long horizontal wells with autonomous devices that can discriminate between and constrain selected phases flowing into the well. The specific inflow technology investigated can discriminate between phases based on their (reservoir) densities. Reducing water production will reduce the need for lift in wells with high water production. It is demonstrated that a reduction in water production will also reduce the need for water injection, giving opportunities for reduced energy use in the drainage process. Restricting water production can also give a reduced oil production rate, however this reduction is modest compared to the reduction in water production.
Most horizontal oil wells will after a time start producing unwanted fluids. Autonomous Inflow Control Valves (AICV) may help to choke these unwanted fluids and consequently improve the carbon efficiency. This paper publishes new experimental data describing how an AICV handles a medium-light oil (6 centipoise), water and gas at full reservoir conditions. A further objective is to evaluate how the AICV might impact well performance under various conditions. To verify the single and multi-phase flow behaviour of the AICV for medium-light oil viscosity, an extensive multi-phase flow loop campaign was performed. The test was performed under real reservoir conditions, i.e., with formation water, reservoir oil and hydrocarbon gas at the given reservoir temperature and pressure. Preceding the external and independent verification, internal laboratory studies were performed with model fluids. A simple conceptual reservoir model with realistic boundary conditions was built to explore and understand the impact of this AICV for various reservoir scenarios. At various differential pressures the single-phase oil, water, and gas rates were measured. Performance at varying water and gas fractions were measured to get improved understanding and knowledge of multi-phase flow occurring in a well. The results show clearly that the AICV will choke gas and water effectively, both at single and multi-phase flow conditions. The external and independent verification are consistent with the internal laboratory evaluations with model fluids. The AICV shows roughly a linear transition from 100% oil to 100% gas performance, and similar for 100% oil to 100% water, implying that the AICV will always prioritize sections with the largest oil fraction. A mathematical model match of the AICV performance is possible via the 10-parameter extended AICD equation, that enables practical evaluation of the AICV in industry standard reservoir simulators. Various scenarios are explored with a conceptual reservoir model and the AICV shows its capacity to reduce water production and enable more gradual and controlled increase in gas-oil-ratio for most scenarios. AICV used in segmented reservoirs shows the largest potential to reduce unwanted fluids and in addition increase oil recovery. In cases with uncertain aquifer and/or gas cap strength, or large variation in effective permeability, the AICV will make an infill well more robust as it autonomously adapts to reality and chokes unwanted fluids and consequently enables more carbon efficient reservoir management.
CO2 flooding is a proven method to mobilize the immobile oil in the reservoirs for enhanced oil recovery (EOR). Using CO2 for EOR has been commercially used for several decades in onshore and offshore oil fields in North America, Canada, and Brazil. The injection of CO2 will both improve oil recovery and contribute significantly to reduction of greenhouse gas emissions. Breakthrough and direct reproduction of CO2, and production of corrosive carbonated water are among the challenges with CO2 EOR projects. Breakthrough of CO2 leads to poor distribution of CO2 in the reservoir and low CO2 storage. Carbonated water production results in corrosion of process equipment on the platform. Autonomous inflow control valve (AICV) is capable of autonomously restricting the reproduction of CO2 from the zones with CO2 breakthrough, and at the same time produce oil from the other zones with high oil saturation. In addition, AICV can reduce the production of carbonated water. The objective of this paper is to investigate the impact of AICV on oil production in a heterogeneous reservoir where CO2 is injected for EOR. The AICV performance is simulated with a dynamic reservoir simulator in a CO2 EOR oil reservoir. AICV restricts the inflow of unwanted fluids such as pure water, gas, carbonated water, and pure CO2. To achieve the objective, experiments and simulations are conducted. Experiments are carried out with realistic reservoir fluids to generate single phase flow performance curves for AICV and for an orifice type inflow control device (ICD). Simulations are performed using CMG STARS, which is a multi-phase, multi-component reservoir simulator. The performance of AICV is evaluated and compared with perforated casing completion. The experimental results confirm the significant benefit of AICV regarding water and CO2 reduction compared to ICD. Under the same conditions and at a given differential pressure, AICV compared to ICD, reduces the water and CO2 volume flow rate by approximately 58% and 82%, respectively. Experimental AICV performance curves are used to generate the flow control device (FCD) tables in CMG STARS. The FCD tables are used to simulate the AICV behavior. The simulation results indicate that AICV reduces the water cut significantly. The cumulative water production is reduced by approximately 25% by using AICVs compared to the perforated casing completion. Indeed, reduction in carbonated water production will minimize the recirculation of CO2. Also, reduction in production of carbonated water will mitigate the problem related to the corrosion of the producing wells and process equipment on the platform. In addition, simulation results show that the AICV completion delivers the highest cumulative oil production after five years of production. From the environmental aspects, utilizing AICV in CO2 EOR projects will contribute significantly to reduction of greenhouse gas emissions. A better distribution of CO2 in the reservoir contributes to a larger storage capacity and thereby more CO2 storage.
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