Systems and methods for controlling carbon sequestration

Abstract

The present invention relates to a system (100) for controlling carbon sequestration, comprising at least one emitter (10) configured to output a process fluid (11) comprising carbon dioxide to be sequestered, at least one reservoir (20) connected to the at least one emitter (10) via a pipeline (70) and configured to receive and store the process fluid (11), at least one compressor unit (30) arranged in the pipeline (70) between the at least one emitter (10) and the at least one reservoir (20) and configured to control a downstream pressure of the process fluid (11), at least one valve (40) arranged in the pipeline (70) between the at least one emitter (10) and the at least one reservoir (20) and configured to control a flow of the process fluid (11) from the at least one emitter (10) to the at least one reservoir (20), and at least one compressor unit (30) arranged in the pipeline (70) between the at least one emitter (10) and the at least one reservoir (20) and configured to control a downstream pressure of the process fluid (11), and an optimizer unit (50) configured to determine emitter output data (DO) by continuously recording an emitter output level of a body (11), wherein the emitter output level is related to a quantity of the process fluid (11), and to determine future emitter output data (DOF) using the determined emitter output data (DO), wherein the future emitter output data (DOF) is related to a prediction of an emitter output in a predetermined time window, and to determine optimized control set points (S) for controlling the isolation of the process fluid (11) using the determined future emitter output data (DOF), wherein the optimized control set points (S) include a compressor unit set point (SC) and a valve set point (SV), wherein the compressor unit set point (SC) is used to control the at least one compressor unit (30), and wherein the valve set point (SV) is used to control the at least one valve (40).

Description

[Technical field]

[0001] The present disclosure relates to systems and methods for controlling carbon sequestration. [Background technology]

[0002] In carbon sequestration, the number of process fluid emitters, particularly CO2 emitters, varies from project to project. The rate of process fluid generation typically varies from emitter to emitter depending on factors including time of day, season, and product demand. The amount of emitters can vary over the life of a carbon capture utilization and storage (CCUS) facility. CCUS operators need to store the CO2 using the least and lowest cost energy.

[0003] Therefore, improved carbon sequestration is needed from a safety and cost perspective. Summary of the Invention

[0004] The object of the invention is defined by the subject matter of the independent claims. Further features of the invention are presented in the dependent claims.

[0005] According to one aspect, a system for controlling carbon sequestration comprises: at least one emitter configured to output a process fluid including carbon dioxide to be sequestered; at least one reservoir connected to the at least one emitter via a pipeline and configured to receive and store the process fluid; at least one compressor unit disposed in the pipeline between the at least one emitter and the at least one reservoir and configured to control a downstream pressure of the process fluid; at least one valve disposed in the pipeline between the at least one emitter and the at least one reservoir and configured to control a flow of the process fluid from the at least one emitter to the at least one reservoir; and an optimizer unit configured to determine emitter output data by continuously recording an emitter output level of the process fluid of the at least one emitter, where the emitter output level is related to an amount of the process fluid. The optimizer unit is configured to determine future emitter output data using the determined emitter output data, where the future emitter output data is related to a prediction of the emitter output in a predetermined time window. The optimizer unit is configured to determine optimized control settings for controlling the transport of the process fluid using the determined future emitter output data, the optimized control settings including a compressor unit set point and a valve set point, where the compressor unit set point is used to control the at least one compressor unit and where the valve set point is used to control the at least one valve.

[0006] In other words, the optimizer unit is configured to evaluate the control set points, i.e. different valve and compressor values, taking into account the predicted future emitter output data and find the optimal control set points, especially taking into account security and cost. In other words, the optimizer unit provides a relationship between different combinations of control set points in scenarios of future emitter output data to be isolated and the cost within the received boundaries. This allows the optimizer unit to find the optimal control point with the lowest cost for isolation that keeps the system within the received or predefined boundaries.

[0007] Preferably, the at least one reservoir relates to any reservoir formation suitable for permanently storing a process fluid, in particular CO2. Furthermore, the at least one reservoir comprises an aquifer. In particular, each reservoir is accessed by a pipeline, via a valve making it possible to regulate the flow of the process fluid into the reservoir. Even more preferably, each reservoir is accessed by at least one well connecting the pipeline to the reservoir. In this case, each of the at least one well comprises a valve making it possible to regulate the flow of the process fluid into the well and thus into the reservoir.

[0008] Preferably, the optimizer unit includes a pipeline model, the pipeline model being associated with a virtual representation of the pipeline. More preferably, the optimizer unit uses the pipeline model to determine optimized control set points. In other words, the optimizer unit uses information provided by the pipeline model to evaluate how the process parameters of the process fluid are most likely to behave in response to different control set points and the determined future emitter output data.

[0009] Preferably, the optimizer unit is implemented in software.

[0010] The optimized setpoints are provided to an operator as recommended operating setpoints or are automatically applied to control systems, particularly Level 2 control systems for automatic optimization of isolation.

[0011] Furthermore, the pipeline model includes pipeline integrity data regarding the integrity of the pipeline. In other words, if the integrity of a pipeline, and in particular a branch of the pipeline, falls below a predefined threshold, this path is temporarily excluded during fluid isolation. For example, due to an overpressure in the pipeline, the integrity of the pipeline falls below a predefined threshold. Thus, this pipeline is no longer used for fluid isolation, even if this means that the subsequent reservoirs cannot be used for fluid isolation.

[0012] As a result, an improved system for controlling fluid isolation is provided. In other words, the system allows for dynamic operation and maintenance planning. Furthermore, the system can perform fluid isolation while taking into account costs, particularly energy costs. Thus, the system makes it possible to provide process fluid isolation with maximization of the storage capacity of the reservoir and minimization of costs, particularly energy costs.

[0013] In a preferred embodiment, the system comprises at least one process parameter sensor configured to determine a process parameter of the process fluid. The optimizer unit is configured to determine a future process parameter using the determined future emitter output data and the determined process parameter, where the future process parameter relates to a prediction of the process parameter in a predetermined time window. The optimizer unit is configured to determine optimized control set points using the determined future process parameter.

[0014] In other words, based on the future emitter output data, the optimizer unit knows the amount of process fluid that needs to be isolated in a given future time window. Using this information, the optimizer unit is configured to determine how the process parameters change when isolating the process fluid according to the future emitter output data in response to the optimized control setpoints. Thus, the optimizer unit is configured to determine the optimized control setpoints that result in the process parameters having the lowest cost. In particular, a control setpoint that results in a relatively high pressure of the process fluid usually results in a relatively high cost, since a high pressure during isolation results in a high energy consumption of at least one compressor unit.

[0015] The optimizer preferably includes a process model configured to determine future process parameters. For example, the optimizer unit allows for minimizing compressor energy usage by adjusting compressor power while keeping each well / reservoir valve opening below operator-defined limits. Energy minimization is performed while respecting valve position constraints, thereby ensuring that local pressure control capabilities are maintained while minimizing overall energy consumption. The process model preferably includes a machine learning model.

[0016] Preferably, the system comprises a process storage infrastructure providing an intermediate storage volume for the process fluid, the optimizer unit using the process storage infrastructure to determine optimized control set points, in other words, the optimizer unit utilizes this intermediate storage volume to influence the operating decisions.

[0017] This allows for isolation of process fluids that can be optimized taking into account the expected amount of process fluid to be isolated and taking into account the expected process parameters that the isolation will result in.

[0018] In a preferred embodiment, the process parameters include fluid pressure, fluid temperature, composition, and / or fluid flow rate.

[0019] In a preferred embodiment, the optimizer unit is configured to receive a phase change margin of the process fluid relative to physical boundaries of a process parameter of the process fluid, taking into account changes in a physical state of the process fluid, and to determine an optimized control set point using the received phase change margin.

[0020] Preferably, the process fluid, especially including CO2, may have different physical states depending on the temperature and pressure of the process fluid. In general, during the transportation of the process fluid, in other words during the isolation of the process fluid, no change in the physical state of the process fluid should occur. As a result, depending on the provided phase change margin of the process fluid and the future process parameters of the process fluid, the optimizer unit can determine optimized control setpoints that allow isolation without change in the physical state of the process fluid.

[0021] The discharge and retention of the process fluid is constantly balanced to keep the pressure along the pipeline within the desired range, especially when the process fluid is in gas phase due to the need to control the gas packing phenomenon. In general, the optimizer unit estimates the pressure, temperature and composition of the process gas along the pipeline to calculate the margin from the phase changes.

[0022] In other words, changes in the physical state of the process fluid during isolation are likely to result in relatively high costs and pose security issues. As a result, the optimizer unit is configured to determine optimized control set points that result in a stable physical state of the process fluid.

[0023] In a preferred embodiment, at least one process parameter sensor is located in at least one compressor unit and / or in at least one reservoir.

[0024] In a preferred embodiment, the optimizer unit is configured to receive scenario data relating to general information regarding carbon sequestration. The optimizer unit is configured to use the scenario data to determine future emitter output data.

[0025] Preferably, the scenario data used herein includes time of day, season, and / or product demand. These factors relate to the amount of process fluid released. For example, during the day, there is generally more process fluid released that needs to be sequestered compared to at night.

[0026] In a preferred embodiment, the system comprises a reservoir model unit configured to provide a reservoir model for the at least one reservoir and configured to determine reservoir data using the reservoir model and the determined future emitter output data, the reservoir data relating to a characteristic of the at least one reservoir when receiving the process fluid according to the future emitter output data. The optimizer unit is configured to determine optimized control set points using the determined reservoir data.

[0027] The reservoir model preferably includes a virtual representation of at least one reservoir. Reservoir data provided by the reservoir model includes, for example, the reservoir lifetime, or the maximum or current storage capacity. For example, the amount of pressure required to store the process fluid in the reservoir is related to the fill level of the reservoir. In other words, a higher fill level of the reservoir is associated with a higher pressure required to fill the reservoir with additional process fluid. The higher the pressure of the process fluid, the higher the cost of isolation.

[0028] Furthermore, the reservoir data includes reservoir integrity data regarding the integrity of the reservoir. In other words, the optimized setting value can be determined taking into account the integrity of the available reservoirs. For example, if the integrity of one reservoir falls below a predetermined threshold, this reservoir is temporarily excluded in the fluid isolation.

[0029] The reservoir model is preferably configured to determine reservoir data using the determined future process parameters, in other words, the reservoir model predicts characteristics of at least one reservoir based on expected emitter output of the emitter and expected process parameters of a particular transport scenario.

[0030] As a result, information about the reservoir can be used by the optimizer unit to find optimized control settings for sequestration.

[0031] In a preferred embodiment, the system comprises a plurality of compressor units, and the optimizer unit is configured to balance the workload of the plurality of compressor units against one another when determining the optimized control settings.

[0032] Balancing the workload of multiple compressor units translates directly into reduced maximum process fluid pressure, which translates directly into reduced isolation costs.

[0033] As a result, the optimizer unit is able to provide better optimized control settings by balancing the compressor settings.

[0034] In a preferred embodiment, the system comprises multiple reservoirs and the optimizer unit is configured to balance the process fluid intake load between the multiple reservoirs when determining the optimized control setpoints.

[0035] As already explained, less energy is required to fill a less filled reservoir than a nearly full reservoir. Taking into account the reservoir fill levels and balancing the process fluid intake load among the available reservoirs allows for improved optimized set points.

[0036] As a result, the optimizer unit is able to provide better optimized control settings by balancing the valve settings.

[0037] In a preferred embodiment, the at least one reservoir comprises a plurality of injection wells used to inject process fluid from at least one emitter into the at least one reservoir, and the optimizer unit is configured to balance the process fluid intake load among the plurality of injection wells when determining the optimized control setpoint.

[0038] Thus, the well head pressure, which is related to the pressure in the head of the well, can be controlled.

[0039] In a preferred embodiment, the optimizer unit is configured to receive energy cost data, the optimizer unit being configured to determine optimized control settings using the received energy cost data.

[0040] In other words, the optimizer unit is provided with current energy prices and / or future price estimates. As a result, the optimizer unit can allocate process fluids to wells while balancing reservoir utilization over a selectable time horizon, such as a week, taking into account energy costs. The optimizer, for example, prefers the use of wells and / or reservoirs that consume less energy when energy prices are high, taking into account pipeline backpressure and distance, and when prices are low, uses wells and / or reservoirs that cause higher energy consumption, thus minimizing energy costs.

[0041] In a preferred embodiment, the optimizer unit is configured to receive the safety parameters, the optimizer unit being configured to determine optimized control settings using the received safety parameters.

[0042] In other words, the safety parameters for all transport, compression equipment, wells and reservoirs are boundary conditions within the optimization of the optimizer unit.

[0043] The system thus makes it possible to provide process fluid isolation with improved safety, particularly in combination with maximizing reservoir storage capacity and minimizing costs.

[0044] In a preferred embodiment, the system includes a temperature regulator configured to externally regulate a temperature of the process fluid, the optimizer unit configured to determine a temperature control signal when determining an optimized control set point, and the temperature regulator configured to regulate a temperature of the process fluid using the temperature control signal.

[0045] In a preferred embodiment, the optimizer unit comprises a machine learning unit.

[0046] Preferably, the optimizer uses artificial intelligence including physical modeling, advanced process control, model predictive control, and / or machine learning.

[0047] According to one aspect of the present invention, a method for controlling process fluid isolation includes the steps of outputting a process fluid to be collected by at least one emitter; receiving and storing the process fluid by at least one reservoir connected to the at least one emitter via a pipeline; controlling a downstream pressure of the process fluid by at least one compressor unit disposed in the pipeline between the at least one emitter and the at least one reservoir; and controlling a downstream pressure of the process fluid from the at least one emitter to the at least one reservoir by at least one valve disposed in the pipeline between the at least one emitter and the at least one reservoir. The method includes the steps of: controlling a flow of a fluid; determining, by an optimizer unit, emitter output data by continuously recording an emitter output level of at least one emitter, where the emitter output level is related to an amount of the process fluid; determining, by the optimizer unit, future emitter output data using the determined emitter output data; where the future emitter output data is related to a prediction of the emitter output in a predetermined time window; and determining, by the optimizer unit, optimized control setpoints for controlling transport of the process fluid using the determined future emitter output data, the optimized control setpoints including a compressor unit setpoint and a valve setpoint, where the compressor unit setpoint is used to control the at least one compressor unit and the valve setpoint is used to control the at least one valve.

[0048] The subject matter of the present invention will be explained in more detail in the following text with reference to preferred exemplary embodiments illustrated in the accompanying drawings. [Brief description of the drawings]

[0049] Exemplary embodiments of the invention are described below with reference to the accompanying drawings. [Figure 1] FIG. 1 shows a schematic diagram of a system for controlling carbon sequestration. [Diagram 2]FIG. 2 shows a schematic diagram of the optimizer unit. [Diagram 3] FIG. 3 shows a schematic diagram of a method for controlling carbon sequestration.

[0050] The reference symbols used in the drawings and their meanings are listed in summary form in the list of reference symbols. As a rule, identical parts are provided with the same reference symbols in the figures.

[0051] Preferably, the functional modules and / or configuration mechanisms are implemented as programmed software modules or procedures, respectively, although those skilled in the art will understand that the functional modules and / or configuration mechanisms may be implemented fully or partially in hardware. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0052] FIG. 1 shows a schematic diagram of a system 100 for controlling carbon sequestration. The system 100 comprises at least one emitter 10, at least one reservoir 20, at least one compressor unit 30, and at least one valve 40. In this case, the system 100 comprises a plurality of, for example three, emitters 10 configured to output a process fluid 11 comprising carbon dioxide. The system 100 is configured to isolate the process fluid 11 from the emitter 10 to a reservoir 20 configured to receive and store the process fluid 11. The reservoir 20 is connected to the emitter 10 via a pipeline 70, in particular a pipeline system including a plurality of branches of the pipeline. Between the emitter 10 and the reservoir 20, a plurality of, for example three, compressor units 30 are arranged in the pipeline 70. The compressor units 30 apply pressure to the process fluid 11 in the pipeline 70 in order to transport the process fluid 11 through the pipeline 70. For example, each branch of the pipeline 70 is supplied with a compressor unit 30. The reservoir 20 is accessed by a pipeline 70 spanning a number of wells, each well including a valve 40. The valves 40 are configured to control the flow of process fluid 11 within the pipeline 70, and in particular into the wells leading to the reservoir 20.

[0053] Carbon sequestration, i.e. the sequestration of the process fluid 11, is controlled by an optimizer unit 50, which is part of the system 100. The optimizer unit 50 is preferably implemented as a software module. To control the sequestration of the process fluid 11, the optimizer unit 50 provides optimized control setpoints S. The optimized control setpoints include the setpoints, i.e. the control settings, of the compressor unit 30 and the valves 40. Thus, the optimizer unit 50 is configured to control the pressure and the flow of the process fluid 11 in the pipeline 70, and further, the optimizer unit 50 is configured to prescribe different paths of the process fluid 11 through the pipeline 70 from the emitter 10 to the reservoir 20 and the amount of the process fluid 11 that flows through which path of the pipeline 70. The optimized control setpoints S are the control setpoints S optimized by the optimizer unit 50, taking into account, among other things, the general transport costs, the energy consumption of the sequestration, as well as the maximization of the storage capacity of the reservoir 20 and / or the wells. The optimized control set points S include a compressor unit set point SC used to control the compressor unit 30 and a valve set point SV used to control the valve 40 .

[0054] The optimizer unit 50 is configured to continuously monitor, i.e. record, the emitter output level of the process fluid 11 from the emitter 10. In other words, the optimizer unit 50 is configured to monitor the amount of the process fluid 11 discharged by the emitter 10, in particular over a predefined time window. Based on the monitoring, the optimizer unit 50 determines emitter output data DO for the discharged process fluid 11. The optimizer unit 50 is further configured to determine future emitter output data DOF using the determined emitter output data DO. In other words, the optimizer unit 50 is configured to predict the emitter output level output by the emitter, in particular in a predefined time window. Thus, the optimizer unit 50 may also include scenario data Ds, which is provided to the optimizer unit 50 and comprises general information regarding carbon sequestration. In particular, the date and time of carbon sequestration is a major factor in the prediction of the future emitter output data DOF. Using the determined future emitter output data DOF, optimizer unit 50 determines optimized control set points S, thus providing improved carbon sequestration.

[0055] Preferably, the optimizer unit 50 includes a process model, in particular a machine learning model. The process model provides a model of the transport process of the process fluid 11 from the emitter 10 to the reservoir 20. The process model is configured to provide a prediction of the transport of the process fluid 11 that is used by the optimizer unit 50 to determine optimized control set points.

[0056] The system 100 comprises a number of process parameter sensors 80 configured to determine process parameters PP of the process fluid 11. The process parameter sensors 80 are located, in particular, near the compressor unit 30 and the valve 40. However, the process parameter sensors 80 are located along the pipeline 70 whenever information of the process parameters PP is useful or necessary. The process parameters PP include a fluid pressure, a fluid temperature, a fluid composition, and / or a fluid flow rate of the process fluid 70. The process parameters PP are provided to the optimizer unit 50. The optimizer unit 50 is configured to determine future process parameters using the determined future emitter output data DOF and the determined process parameters PP. The future process parameters are predictions and / or simulations of the process parameters in a predefined time window that lies in the future. The process model of the optimizer unit 50 preferably uses the determined process parameters PP and the future emitter output data DOF to determine the future process parameters, in particular based on different compressor unit setpoints SC and / or valve setpoints SV. In other words, the process model provides a simulation for the optimizer unit 50, which predicts how the process parameters PP will change based on different scenarios of the compressor unit setpoints SC and valve setpoints SV. As a result, the optimizer unit 50 can evaluate, based on the determined future process parameters, which setpoints will result in optimal carbon sequestration, taking into account, among other things, the general transportation costs, the energy consumption of sequestration, and the maximization of the storage capacity of the reservoir 20 and / or well. This optimizer unit 50 preferably considers additional factors in the optimization process. For example, the process parameters PP should all be applied to the provided security constraints. Furthermore, based on the process parameters PP, in particular the fluid pressure and fluid temperature, the physical state of the process fluid 11 may change during transportation. The change in the physical state of the process fluid 11 usually results in an increase in energy consumption and therefore an increase in costs.Thus, a phase change margin related to the physical boundaries of the process parameter PP taking into account changes in the physical state of the process fluid 11 may be provided to the optimizer unit 50. The optimizer unit 50 is therefore most likely to determine an optimized control setpoint S that does not result in changes in the physical state of the process fluid 11 during transport from the emitter 10 to the reservoir 20.

[0057] The system 100 further comprises a reservoir model unit 60 configured to provide a reservoir model of the reservoir 20 and / or the well. The reservoir model 60 provides reservoir data DR based on the future emitter output data DOF and / or the future process parameters. Thus, the optimizer unit 50 can determine optimized control set points S using the reservoir data DR.

[0058] To assess the cost of carbon sequestration, the optimizer unit 50 is provided with energy cost data DE from an external data source 90, e.g., a cloud environment. The energy cost data DE preferably includes future energy costs. In other words, the energy cost data DE reflects the predicted energy costs of carbon sequestration for a future predetermined period of time. As a result, the optimizer unit 50 is configured to determine optimized control setpoints S using the energy cost data DE.

[0059] Fig. 2 shows a schematic diagram of the optimizer unit 50. The optimizer unit 50 comprises an emitter analysis unit 51 and a setpoint analysis unit 52. The emitter analysis unit 51 is provided with emitter output data DO and scenario data DS to provide future emitter output data DOF. The future emitter output data DOF is provided to the setpoint analysis unit 52. The setpoint analysis unit 52 is also provided with process parameters PP, phase change margins M, reservoir data DR, energy cost data DE and safety parameters PS. The setpoint analysis unit 52 is configured to provide an optimized control setpoint S based on all available inputs.

[0060] 3 shows a schematic diagram of a method for controlling carbon sequestration, including the following steps: outputting S10, by at least one emitter 10, a process fluid 11 to be collected; receiving and storing S20, by at least one reservoir 20 connected to the at least one emitter 10 via a pipeline 70, and controlling S30, a downstream pressure of the process fluid 11, by at least one compressor unit 30 disposed in the pipeline 70 between the at least one emitter 10 and the at least one reservoir 20; controlling S40, by at least one valve 40 disposed in the pipeline 70 between the at least one emitter 10 and the at least one reservoir 20, a flow of the process fluid 11 from the at least one emitter 10 to the at least one reservoir 20; determining S50, by an optimizer unit 50, emitter output data DO by continuously recording emitter output levels of the at least one emitter 10, the emitter output levels being related to the amount of the process fluid 11. The optimizer unit 50 uses the determined emitter output data DO to determine future emitter output data DOF, the future emitter output data DOF relating to a prediction of the emitter output in a predetermined time window S60. The optimizer unit 50 uses the determined future emitter output data DOF to determine S70 optimized control setpoints S for controlling the transport of the process fluid 11. The optimized control setpoints S include a compressor unit setpoint DC and a valve setpoint SV, where the compressor unit setpoint SC is used to control the at least one compressor unit 30 and the valve setpoint SV is used to control the at least one valve 40.

[0061] List of References 100 Systems 10 Emitter 11 Process Fluids 20 Reservoir 30 Compressor unit 40 valves 50 Optimizer Unit 51 Emitter Analysis Unit 52 Setpoint Analysis Unit 60 Reservoir Model Unit 70 Pipeline 80 Parameter Sensor 90 External Data Sources SO Optimization Control Setting Value SC compressor unit setting value SV Valve setting value DO Emitter output data DOF Future emitter output data PP Process parameters M Phase change margin DR Reservoir Data DE Energy Cost Data PS Safety Parameters DS Scenario Data

Claims

1. A system (100) for controlling carbon sequestration, comprising: at least one emitter (10) configured to output a process fluid (11) comprising carbon dioxide to be sequestered; at least one reservoir (20) connected to the at least one emitter (10) via a pipeline (70) and configured to receive and store the process fluid (11); at least one compressor unit (30) disposed in the pipeline (70) between the at least one emitter (10) and the at least one reservoir (20), configured to control a downstream pressure of the process fluid (11); at least one valve (40) disposed in the pipeline (70) between the at least one emitter (10) and the at least one reservoir (20), configured to control a flow of the process fluid (11) from the at least one emitter (10) to the at least one reservoir (20); configured to determine emitter output data (DO) by continuously recording an emitter output level of the process fluid (11) of the at least one emitter (10), wherein the emitter output level is related to an amount of the process fluid (11); configured to determine future emitter output data (DOF) using the determined emitter output data (DO), where the future emitter output data (DOF) relates to a prediction of an emitter output in a predetermined time window; an optimizer unit (50) configured to determine optimized control set points (S) for controlling the segregation of the process fluid (11) using the determined future emitter output data (DOF), wherein the optimized control set points (S) include a compressor unit set point (SC) and a valve set point (SV), wherein the compressor unit set point (SC) is used to control the at least one compressor unit (30), and wherein the valve set point (SV) is used to control the at least one valve (40).

2. configured to determine a process parameter (PP) of the process fluid (11); wherein said optimizer unit (50) is configured to determine future process parameters using said determined future emitter output data (DOF) and said determined process parameters (PP), wherein said future process parameters relate to a prediction of said process parameters in a predefined time window, 2. The system of claim 1, comprising at least one process parameter sensor (80) configured to determine the optimized control set points (S) using the determined future process parameters.

3. The system of claim 2 , wherein the process parameters (PP) include a fluid pressure, a fluid temperature, a composition, and / or a fluid flow rate.

4. the optimizer unit (50) is configured to receive a phase change margin (M) of the process fluid (11) with respect to a physical boundary of the process parameter (PP) of the process fluid (11) taking into account changes in a physical state of the process fluid (11); The system of claim 2 or 3, wherein the optimizer unit (50) is configured to determine the optimized control setpoint (S) using the received phase change margin (M).

5. The system of any one of claims 2 to 4, wherein the at least one process parameter sensor (80) is disposed in at least one compressor unit (30) and / or in at least one reservoir (20).

6. The optimizer unit (50) is configured to receive scenario data (DS) relating to general information regarding the carbon sequestration; The system of any one of claims 1 to 5, wherein the optimizer unit (50) is configured to determine the future emitter output data (DOF) using the scenario data (DS).

7. a reservoir model unit (60) configured to provide a reservoir model of the at least one reservoir (20) and configured to determine reservoir data (DR) using the reservoir model and the determined future emitter output data (DOF), where the reservoir data (DR) relates to a characteristic of the at least one reservoir (20) when receiving the process fluid according to the future emitter output data (DOF), The system according to any one of claims 1 to 6, wherein the optimizer unit (50) is configured to determine the optimized control setpoints (S) using the determined reservoir data (DR).

8. 8. The system of claim 1, comprising a plurality of compressor units (30), wherein the optimizer unit (50) is configured to balance the workload of the plurality of compressor units (30) with respect to one another when determining the optimized control setpoints (S).

9. 9. The system according to claim 1, comprising a plurality of reservoirs (20), wherein the optimizer unit (50) is configured to balance the intake load of the process fluid (11) between the plurality of reservoirs (20) when determining the optimized control setpoint (S).

10. 10. The system according to claim 1, wherein the at least one reservoir (20) comprises a plurality of injection wells used for injecting the process fluid (11) from the at least one emitter (10) into the at least one reservoir (20), and wherein the optimizer unit (50) is configured to balance the intake load of the process fluid (11) between the plurality of injection wells when determining the optimized control setpoint (S).

11. 11. The system of claim 1, wherein the optimizer unit (50) is configured to receive energy cost data (DE), and wherein the optimizer unit (50) is configured to determine the optimized control setpoints (S) using the received energy cost data (DE).

12. 12. The system according to claim 1, wherein the optimizer unit (50) is configured to receive safety parameters (PS), and wherein the optimizer unit (50) is configured to determine the optimized control setpoints (S) using the received safety parameters (PS).

13. a temperature adjustment device configured to externally adjust a temperature of the process fluid; wherein the optimizer unit (50) is configured to determine a temperature control signal when determining the optimized control setpoint (S); The system of claim 1 , wherein the temperature adjustment device is configured to adjust a temperature of the process fluid using the temperature control signal.

14. The system of claim 1 , wherein the optimizer unit comprises a machine learning unit.

15. 1. A method of controlling process fluid isolation, comprising: outputting (S10) a process fluid (11) to be collected by at least one emitter (10); receiving and storing said process fluid (11) by at least one reservoir (20) connected to said at least one emitter (10) via a pipeline (70); controlling (S30) a downstream pressure of the process fluid (11) by at least one compressor unit (30) arranged in the pipeline (70) between the at least one emitter (10) and the at least one reservoir (20); controlling (S40) a flow of the process fluid (11) from the at least one emitter (10) to the at least one reservoir (20) by means of at least one valve (40) arranged in the pipeline (70) between the at least one emitter (10) and the at least one reservoir (20); determining (S50) emitter output data (DO) by continuously recording an emitter output level of said at least one emitter (10) by an optimizer unit (50), wherein said emitter output level is related to an amount of process fluid (11); determining (S60) future emitter output data (DOF) by said optimizer unit (50) using said determined emitter output data (DO), wherein said future emitter output data (DOF) relates to a prediction of an emitter output in a predefined time window; determining (S70) optimized control set points (S) for controlling the transport of the process fluid (11) using the determined future emitter output data (DOF) by the optimizer unit (50); wherein the optimized control set points (S) include a compressor unit set point (DC) and a valve set point (SV), wherein the compressor unit set point (SC) is used to control the at least one compressor unit (30), and wherein the valve set point (SV) is used to control the at least one valve (40).

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