USE OF MULTIPHASE METERS IN PROCESS CONTROL FOR OIL FIELD WELL TESTING: PERFORMANCE ENHANCEMENT THROUGH GVF CONTROL

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Proceedings of ETCE22 ASME Engineering Technology Conference on Energy February 4-6, 22, Houston, TX ETCE22/MANU-292 USE OF MULTIPHASE METERS IN PROCESS CONTROL FOR OIL FIELD WELL TESTING: PERFORMANCE ENHANCEMENT THROUGH CONTROL Jack D. Marrelli, ChevronTexaco E&P Technology Company Houston, TX - 7782 Ram S. Mohan, Shoubo Wang, Luis Gomez and Ovadia Shoham Petroleum and Mechanical Engg. Departments The University of Tulsa Tulsa, OK - 744 ABSTRACT First oil production from a deep-water oil field is to be achieved by the installation of an Initial Development System (IDS). Well testing is required for field development and reservoir management. The well testing system requires high accuracy oil and water rates to provide the data needed for decision analysis in ongoing drilling programs. The well testing system must also be integrated with other platform operations such as well clean up after drilling. The concept of a certain type of multiphase meter in a feedback control loop with conventional separation technology for process control is simulated to extend the capabilities of both technologies. The principle of control as a supplementary to level control system has been developed for performance enhancement of oil field well testing. Concepts demonstrated here can also be easily applied as retro-fits to existing separation facilities which show accuracy or upset problems because of the simplicity and compact size of the additional multiphase meter component and non-disruptive supplementary integration with existing level control systems. INTRODUCTION In the asset development scheme, the produced fluids (oil, water and gas) for each deep water well will be piped to the surface and will be measured individually on a small floating platform. Fluid measurement will use a full flow multiphase meter (MPM) in a supplemental feedback control configuration with a conventional but small sized horizontal separator and a dry gas meter, as shown in Figure 1. The most appropriate type of multiphase metering devices was chosen using results from Joint Industry Project testing. The MPM will be of a type, which uses at minimum, one venturi and one gamma densitometer, as shown in Figure 2. The separator will be alternatively operated as a 3-phase separator for low flow rate cleanup of wells after drilling and as a two-phase high flow rate operation for well testing uses. The MPM will be used to report oil, water and gas rates in the liquid line of the separator and MPM gas rate prediction will also be used for supplemental control of separator level in order to control the gas carried under into the liquid line. Full flow MPMs can be classified as various types based on the specific combination of sensors used. We have demonstrated through simulation [1] that a venturi-based gamma densitometer type of MPM used in separator supplemental control will: 1. Improve MPM accuracy. Errors from approximately 4% to 5% overall (our approximate assessment of performance in testing over the full matrix) to 5 to % overall, even if fluid properties vary to some extent. 2. Reduce excessive level changes in separators during severe slugging by about 5%. This observation of improved level control was unexpected and opens the door to new ways of sizing vessels and use of Multiphase meters. Marrelli and Rexach have patented [2] the use of multiphase meters with separation vessels in a feedback system to control gas carried into the MPM. A schematic of the Optimal Gas Volume Fraction () Control Strategy integrating the liquid level and controllers is shown in Fig. 3. In this configuration, the conventional liquid level control system is the inner loop and the control is the supplementary outer loop, which includes the MPM as the sensor. This combination of separator, MPM and feedback control is novel and valuable because: 1. Full bore MPMs evolved with the stated objective of replacing separators, are typically being used in cooperation; 2. The MPM is used in a new level setpoint supplemental feedback control scheme to extend the dynamic range of the small separator and the MPM; 1 Copyright 22 by ASME

3. Set Point Supplemental control does not interfere with conventional control. 4. High accuracy reporting by MPMs can be leveraged by feedback into high accuracy oil rate reporting. 5. Very large slugs overshoot separator level by 5% less using control. 6. Certain types of multiphase meters are revealed to have more value in process control than other types. 7. Knowledge gained from GLCC 1 compact separation control studies [12, 13] have been newly applied to conventional separation systems. 8. Simulation has allowed exploration of features of the Set Point Control scheme for performance, safety, stability, noise immunity, and extreme conditions. 9. Simulation has clarified the necessary lab and field-testing needed to further progress use of MPMs in upstream processing facilities.. The multiphase meter can be easily added (retrofitted) to existing separation and well testing facilities, which are having accuracy or separation problems without interrupting conventional level control of the vessels. DRIVERS Several main drivers have determined the recommendations for surface well testing in this project: 1. Accuracy of water detection: Accurate measurement of early production rates of oil and especially including first indication of water flow is essential in planning the further drilling program, field management and well management. 2. Gas / Liquid Separation: Separation Facilities are required for other reasons: Well Cleanup after drilling on an unmanned Dry Tree Unit (DTU) and Backup of production Separation Vessels on a Floating Production Vessel (FPSO) have required the use of separation on both facilities. 3. Size: Size of the Well Test facilities has a significant impact on the cost of the supporting oil platform. Therefore methods to eliminate or reduce the size of separators by improved control systems have significant value. 4. Slugging: Multiphase fluids traveling large distances can re-organize into slugs of liquids and gases traveling at high speeds which can overwhelm the short term capacity of conventionally controlled separators. Oversizing such vessels allows slugs to be handled but at the great expense of size. Improved control concepts for level in the separator will permit smaller separator sizes as well as the use of short residence time compact separation devices such as GLCC [8, 9,, 11]. 5. Potential application of the principles to measurement of the combined production of all the wells. 1 GLCC - Gas-Liquid Cylindrical Cyclone - Copyright, The University of Tulsa, 1994. MULTIPHASE METER PERFORMANCE Sweet Spot in Oil Rate Prediction This report defines sweet spot for multiphase metering. A sweet spot is defined here as the range of relative composition of oil, water and gas over which oil rate can be metered within the accuracy specification for the metering system. Other definitions are possible but for this study we have chosen a definition compatible with use in a process control system, which can control composition to some extent. Actual testing errors are used rather than statistical determinations of uncertainty. We have used methods developed for geological data processing and adapted to multiphase data by Marrelli [3], for visualizing complex data using conventional geological subsurface visualization software [7]. This method allows visualization of sweet spots not clearly defined by other methods. Size and stability of sweet spots as a function of sensor technology used by multiphase meters have been examined. Clearly, use of multiphase meters in process control will require extensive knowledge of the meter chosen. Basis of Multiphase Meter Type and Sweet Spot The design of commercial multiphase meters reflects the complexity of multiphase flow. In Figure 4, a pipeline is schematically represented as a P,T,X g line where X g represents the fraction of gas to total fluids at local pipeline pressure and temperature. The hypothetical pipeline extends from the hydrocarbon reservoir at high pressure, temperature and low gas volume all the way to atmospheric pressure and temperature where very high X g may exist. A multiphase meter may lie at any point along this P,T,X g line and choice of locations depends on primarily cost, accessibility, branches to the flow line from other users and accuracy. The conceptual elements may be assumed, measured, calculated and distributed along the P,T,X g line. An MPM will provide the steps of: Uncertainty reduction through some type of flow conditioning; Density determination or assumptions; Liquid and Gas Rate determination; Composition determination (water and hydrocarbon fractions) or assumptions; Application of a multiphase flow model; and Output signals in various formats. As indicated in figure 2, multiphase meter types can consist of various combinations of discrete instrumentation including sensors of gamma ray attenuation, temperature, pressure, pressure drop, density, dielectric constant, capacitance, conductivity and inductance. These multiphase measures are then interpreted by proprietary multiphase models and may use mathematical cross-correlation and assumptions about the relative flow speeds of gas and liquids (slip models) to predict the rates of oil, water and gas at that point. Each meter type can be provided by more than one commercial vendor. 2 Copyright 22 by ASME

Data Visualization It is known from data generated from oil industry sponsored testing by the National Engineering Laboratories of Scotland [3, 5, 6], figure 5, and ChevronTexaco testing at its Humble Flow Facility [4], that each multiphase meter type has a flow rate, gas fraction and water fraction sweet spot in which performance is best. This sweet spot results from the particular combination of instrumentation used and the proprietary information and models used by the vendor. JIP testing of several MPMs at several hundred test-points each provided data for Figs. 5, 6 and 7. Graphs represent the percentage of gas in total fluids (X-axis) and percentage of water in the total liquids (Y-axis). The Z-axis is color-coded and represents the measured error in oil flow rate made by that meter during the test. Importantly, the surfaces thus displayed are developed by one of us from commercially available interpolation routines, operating on the NEL JIP data sets. Because of the desire to provide continuous visual information, there are not actual lab data under each pixel. The graphical method used provides intuitive and very rapid understanding of large masses of data. In this test program matrix, MPM overall oil rate accuracy performance at better than 5% of true value would be considered exceptional, and % accuracy is achievable. For example, Figure 5 Meter X, left side insert shows that accuracy of oil flow rate, indicated in color as the z-axis, can be held to within 5 to % of true value, if the gas and water percentage in the fluids can be held to less than 5%, that is, within the dotted box. Thus a sweet spot for Meter X, is defined. However for Meter M, (Figure 6 left side insert) the sweet spot within the dotted box shows that oil rate accuracy can be held to within 5% to % of true value, if the gas percentage and water percentage in the fluids can be held to between 2% and 5%. In Fig. 7, Meter V appears to show two separate small sweet spots, (dotted ellipses). Specific reasons for two regions of good performance separated by a region of poor performance are not clear. However, one suggestion based on the visualization of the data in Figure 7 is that this could be due to difficulty with meter flow regime identification. In the case of Meter V, feedback control would be of limited value in improving MPM performance, because a controller would not know whether to reduce or increase to achieve improved oil rate accuracy when the measured was in the 3 to 4% range. It is important to recognize that oil rate errors reported here are with respect to true value; therefore while a percentage error may be large the actual absolute value may be low. Sweet Spot Stability for Viscosity Change Of great importance in process control and validity of measurements is the stability of the multiphase meter s sweet spot when operational conditions change. NEL JIP testing [6] has demonstrated that small changes in fluid properties such as viscosity changing from 15 to 3 Centipoise, can greatly affect the sweet spot depending on multiphase meter type. In the case of Meter X, (Figure 5, right side insert) testing shows that the 5% performance zone disappears and the range of % oil flow rate accuracy is reduced to a range of less than 4% water and gas percentage. In the case of Meter M, (Figure 6, right side) similar increase in viscosity from 15 to 3 Centipoise completely eliminates the sweet spot. Similar effects occur for all multiphase meter types when water salinity is varied. Those salinity effects are not discussed here. Because of demonstrated sweet spot size and stability and feedback concerns, a type of MPM, using both venturi pressure drop to sense flow rate and gamma ray energy methods for sensing density, has been selected for use in a process control system. Several commercial vendors can supply this type of meter construction. Further discussions of these results can be found in Marrelli et al. [1]. FLUID CONDITIONING The expectation of conventional separation level control systems design is to provide for complete separation of gases from liquids. In general this expectation is only met under a restricted range of conditions. In the current design, our expectation is that gases in the gas line of the separator will have no liquids entrained (dry gas), however liquids in the liquid line of the separator are expected to have less than 5% gas by volume. Gas fraction in the liquid stream will be varied to maintain dry gas streams. In the current design no attempt is made to limit the composition of water in the multiphase stream. The most important use of the metering system in this case is for early production of the oil wells in which average water composition of less than 4% is expected. Our expectation is that water composition will therefore be managed to be below 5%. Gas Metering in the Bypass Line While gas carried under into the liquid stream is tolerable, even desirable, liquids carried over into the gas stream are not tolerable. There are no suitable commercial wet gas meters, which can accurately measure gas with entrained liquids. Liquids carried into the gas stream can potentially interfere with down stream processing such as gas compression or may be lost because they are burned with gas disposal. The dry gas flow rate from the separation system will be measured using a commercial vortex shedding meter. RANGE CONTROL OF Even a perfect control system cannot, for example, maintain 3% gas fraction if no gas is available in the pipeline. Thus it will only be possible to hold MPM gas fraction to a range limit, because the supply of gas from the pipeline is not constant or predictable and cannot be stored in a significant volume. Conventional control theory allows quantitative determination of the best combinations of Liquid and Gas Control valve actions to achieve stable control. 3 Copyright 22 by ASME

Extensive data, public [1] and proprietary [2, 6], are available, relating separator level to gas-carry-under into the liquid stream compact separation systems and conventional systems. Simply stated, for both conventional (1-G) and GLCC (high-g) systems, the lower the gas/liquid interface in the separator, the higher the resulting gas carried into the liquid leg. While there are clearly complex flow rate effects on the liquid-carry-over and gas-carry-under performance, these effects are not presented here. More complex separator dynamics will be reflected in overall system performance and have been simulated successfully to some extent but are not reported here. Combining Multiphase Meters and Flow Conditioning Our objective is improvement in the performance of a multiphase meter in reporting oil rate, through flow conditioning with a gas liquid separator. The means of accomplishing that improvement is through the use of the specific multiphase meter s accurate output. Essentially, good accuracy in the determination is leveraged into good performance of oil rate measurement, through action of the feedback control network. Fortunately, data indicates many types of multiphase meters do well at reporting values of > 3% [1, 3, 5 and 6]. Accuracy Required: The uncertainty in Meter X s output is: Uncertainty < 5% for > %. Oil Rate Accuracy Desired: Our target for flow into the MPM which would allow Oil Rate performance of better than %, is < 6%, figure 5, dashed line. Noise Limitations: Rapid fluctuation in Meter X output can be reduced by filters and averaging to guarantee stable system response. Setpoint Required: Our set point for the control system using Meter X can be set at 3% with the assurance that the control system can achieve a continuing in the target range of <5%. Separator Level Limitations: The level in the separator can swing between 1 foot and 4.5 feet in order to control the output, assuming there is sufficient gas entering the vessel inlet. Key Assumptions in Design of Control Actual performance characteristics of commercially available devices are used for the simulation. Performance characteristics of field device may vary greatly and are often difficult to confirm experimentally. Applications in control systems are dependent on reliable component descriptions or on feedback concepts, which minimize dependence on precise performance specifications. The following assumptions underlie the design and simulations in this report. 1. The separator is operating under an independent pressure control system configured appropriately and working perfectly. Thus the separator pressure is assumed to be constant in this study. 2. The design basis is given below: Vessels converted from 3 Phase operation in well clean up to Normal 2 Phase Well Test Operation. Horizontal Vessel sizes examined: 72 OD x 2 s/s (not reported here) 8 OD x 35 s/s (reported here); Operation @ 44 psig @14 F Flow Rates are in the range of 4, to, BLPD @ gas rates 14 scf/stb, Slug flow investigated, 25% rise/fall @4, BLPD rising to, BLPD and down to BLPD over 6 seconds. Gas rate changing proportionally Watercut is assumed to be less than 3-4%. 3. in the liquid outlet of the separator is assumed to be a predominant function of the separator liquid level and liquid outflow rate as shown in data for GLCC devices. Further studies determining the separator characteristics will be required to determine the effects of oil viscosity, and inlet conditions on gas carry under. CONTROL SYSTEM DESIGN The system analysis requires a description of the component connections, quantitative mathematical description of the vessel, valve response characteristics and fluid flow properties of the associated piping. The design of a controller, using meter output for supplementary feedback control, can be determined by conventional engineering methods. A linear model of the control system based on the block diagram of Fig. 3 was developed initially and a simulator was built (Fig. 8) using the Matlab/Simulink software. Simulation is used to confirm that the response to a wide variety of perturbations in level and can be corrected rapidly and with limited oscillations. A combination perturbation of step-plus-slug is simulated for evaluation of performance and stability. The Optimal Control Strategy integrating the Liquid level and controllers provided stable operation at optimum (nearest to the set point) in the liquid leg of the separator unit. Detailed description of this strategy is given in Marrelli et al. [1]. A powerful feature of Set Point Control concept developed here is that if the system level is already at the set point or if the set point is moved to an actual existing level, then the feedback signal is effectively zero and no system dynamics are encountered. In this configuration higher system gains can be employed, but without the concomitant effects of high gain unless offset error actually occurs. The simulator shown in Figure 8 describes details of this approach. Simulation of Step and Slug Perturbations of the Control System In the simulation results shown in Figure 14 there are 2 sets of 4 simulator screens. Each set illustrates the time responses of fluids in the separation / meter system: 1. Top Left: The liquid rate perturbation in the inlet line is a step increase or trapezoidal slug in liquid rate (Barrels per day), 4 Copyright 22 by ASME

2. Top Right: The resulting gas volume fraction ( to 1) in the liquid line going to the multiphase meter, 3. Bottom Left: The resulting flow rate in the liquid line going to the multiphase meter and 4. Bottom Right: The resulting level changes in the horizontal conventional separator. The MATLAB/Simulink simulation used the actual geometry, control valves and performance expectations of the separator in combination with a multiphase meter estimation of gas volume fraction similar to that of the function of Figure 6, Meter M. feedback is eliminated from the simulation on the right side of Fig. 9, to demonstrate by comparison, features of: 1. Successful control of in the Multiphase meter 2. Added value of the supplementary feedback in slugging situations. Item 1 above is demonstrated through comparison of the step-plus-slug perturbation response in figure 9 with feedback (Fig. 9A) and without feedback (Fig. 9B). Value of the control to slug handling is more obvious with slugs of very large size (Figure 14). However, undershoot of separator level (Insert 4) causing overshoot of multiphase meter (Insert 2) is greater in every case where control is removed. Detailed simulation results [1] showed that low frequency noise in the flow rate to the multiphase meter is not anticipated to cause rate measurement errors, since the fluctuations are well within the meters rate specifications. Improved use of multiphase meters in process control will require continued investigations of the impact on the control system, of specific types of noise and error typical of multiphase. Safety Safe Operation of the control system is essential. Effects of noise, positive feedback, loss of connection and slug induced overflow of separator capacity were examined. Requirements imposed by the asset team are to configure the system to insure that safe separator control is maintained even if multiphase meter feedback onto the level control system is interrupted or noisy. We have met that safety requirement and demonstrated acceptable and stable performance by adding input liquid slugging, noise and damage to the simulation. Addition of multiphase noise to the data line simulation is demonstrated [1] to be easily handled by appropriate filtering at the PLC inputs. Abrupt removal of all Multiphase meter outputs, simulating a power failure or damaged electrical link demonstrated that safe performance of the conventional level control is maintained. Offshore operation of separation vessels can require level limit detectors, which can shut down that vessel if levels are too high or too low. Simulation of large slugging inputs into a separator, demonstrates that use of feedback prevents excessively high or low separator level. CONCLUSIONS The objective of providing oil well testing capability meeting the accuracy, facility integration and safety needs of that asset s development team were achieved. Types of Multiphase meters are found to be fundamentally different in properties depending on the physical principals used by the meter s sensors. Venturitype gamma densitometer multiphase meters are selected as most useful in process control. Reducing gas fraction in a multiphase meter is shown from several sources, to improve that meter s oil rate accuracy. Conventional and compact separation systems are very capable of flow conditioning fluids to a multiphase meter and provide considerable advantages to the facility. The control system can be supplementary to existing level control. The supplementary nature of the setpoint control system using a multiphase meter is easily retrofitted to old existing facilities in which well test accuracy or level control is a problem. Simulation was used to determine that a multiphase meter s tested performance could be enhanced by feedback control, leveraging the meter s accurate output into enhanced oil rate accuracy. The general concept of separator level setpoint control by feedback was shown to work well. Simulation showed unexpected benefits of slug control in addition to the expected enhancement of multiphase meter performance. Simulation demonstrates that accidental loss of the signal has no negative impact on conventional level control. Simulation also demonstrates that large liquid slugs, which would have tripped level sensors and possibly shutdown vessels or wells, are handled effectively by the control system and would allow well testing to proceed without any interruption. ACKNOWLEDGEMENTS The authors greatly appreciate the financial and technical support from ChevronTexaco, other sponsors of the Tulsa University Separation Technology Projects (TUSTP). We also greatly appreciate the quality workmanship of the scientists, engineers and technicians working on the various other JIP projects over the past several years, which have contributed data to this project. REFERENCES [1] Marrelli, J. D., Wang, S., Mohan, R.S., Gomez L. E., and Shoham, O., "Use of Multiphase Meters in Process Control for Oil Field Well Testing: Novel Level Controls and Resulting Performance Enhancement" 57 th Annual Instrumentation Symposium for the Process Industries, January 22-24, 22. [2] Marrelli, J.D., Rexach, F. M., Three-Phase Fluid Flow Measurement System and Method, United States Patent, No. 6,128,962, Issued Oct.,2. [3] Marrelli, J. D., Starcut Multiphase Meter - Smart Measurements Of Watercut In Multiphase Fluids Using Compact Partial Separation Methods, IBC UK 5 Copyright 22 by ASME

Conferences Ltd, The Future Of Multiphase Metering Conference (London, England, 3/26/1998) Proceedings 1998 (35 Pp.; 7 Refs) [4] Joint Industry Project Report, JIP Performance Evaluation of Multiphase Flow Meters, Final Report, No. 95-168, Texaco E&P Technology, August 1995, Humble Flow Facility, Humble, Texas [5] Whitaker, T., Assessment of Multiphase Flowmeter Performance, NEL MultiFlow JIP, North Sea Flow Measurement Workshop, 1996. [6] Joint Industry Project Report, NEL MultiFlow II, Characterization of the Performance of Multiphase Flowmeters. No. 35/2, March, 2. [7] Surfer R, Users Guide to Surfer 7, Golden Software, Inc., Golden, Colorado,1999 [8] Mohan, R., Wang, S., Shoham, O. and Kouba, G.: Design and Performance of Passive Control System for Gas-Liquid Cylindrical Cyclone Separators, ASME J. Energy Resources Technology, v. 12(1), March 1998, pp. 49-55. [9] Wang, S., Mohan, R., Shoham, O. and Kouba, G.: Dynamic Simulation and Control System Design of Gas- Liquid Cylindrical Cyclone Separators, SPE 49175, presented at the SPE 73 rd Annual Meeting, New Orleans, September 27-3, 1998, SPE Journal 6(2)/236-247, June 21. [] Wang, S., Mohan, R.S., Shoham, O., Marrelli, J. D. and Kouba, G.E.: "Performance Improvement of Gas Liquid Cylindrical Cyclone Separators Using Integrated Liquid Level and Pressure Control Systems," ETCE-ER-35, proceedings of the ASME Energy Sources Technology Conference and Exhibition, ETCE ', New Orleans, Louisiana, Feb. 14-17, 2. [11] Wang, S., Mohan, R., Shoham, O., Marrelli, J. and Kouba, G.: "Control System Simulators for Gas-Liquid Cylindrical Cyclone Separators," ETCE-ER-36, proceedings of the ASME Energy Sources Technology Conference and Exhibition, ETCE ', New Orleans, February 14-17, 2a. [12] Wang, S.: Dynamic Simulation, Experimental Investigation and Control System Design of Gas-Liquid Cylindrical Cyclone Separators, Ph.D. Dissertation, The University of Tulsa, 2. [13] Wang, S., Mohan, R., Shoham, O., Marrelli, J. D., Kouba, G. E.: Optimal Control Strategy and Experimental Investigation of Gas-Liquid Compact Separators, SPE 6312, October 2. Figure 1: Multiphase Metering System with and Liquid Level Control Gas Gas Control Gas / Wet Meter Valve Gas Exit Liquids / Pressure Gases Transducer Exit Multiphase Inlet Gas-Liquid Separator Liquid Level Transducer PLC Controller Liquid Control Valve Multiphase Meter Oil, Water, Gas Rate Computer 6 Copyright 22 by ASME

Figure 2:Multiphase Meter Possible Primary Measurements Gamma Ray Absorption, Differential Pressure, Pressure, Temperature, Dielectric, Capacitance, Conductance & Inductance T κ,l,ε,c ρ ι P DP α Composition Stage Rate Stage Mixer Stage Figure 3: Block Diagram of and Liquid Level Control LIQUID LEVEL SET POINT + + + CONTROLLER SET POINT LEVEL CONTROLLER LIQUID LEVEL TRANSMITTER / SENSOR PNEUMATIC RELATION 1 LINE & LCV (LIQUID ACTUATOR RATE) TRANSMITTER / SENSOR LIQUID RATE IN LIQUID + LEVEL RELATION 2 LIQUID (LEVEL) OUT RATE RELATION 3 () 7 Copyright 22 by ASME

Figure 4: Multiphase Welltest System -Basic Structure Reduction of Uncertainty, Mixing & Separation Determination of Mixture Density Determination of Liquid and Gas Rate Determination of WaterCut or Composition Application of Multiphase Model Inlet Multi Phase Flow Fluid Properties Fluid Rates Fluid Conditions Facilities Reservoir: High P,T; Low, (Xg) 2-P & 3-P Separation Partial or Incomplete Separation. None - No Conditionin g Partial Mix Full Mix Density Nuclear 1 Energy Density Nuclear 2 Energies Density Nuclear >2 Energies Momentum Rotary PD Turbine Orifice Venturi Vcone Vortex Coriollis Pipeline WaterCut Nuclear 2 Energies WaterCut Nuclear >Multiple Energies Welltest Meter Microwave Dielectric High Frequency Dielectric Medium Frequency Dielectric Low Frequency Sampling Data Processing Modeling Virtual Metering Comparison & Feedback Output Rates Oil Water Gas @P,T Sales Line: Low P,T; High, (Xg) Figure 5: Oil Rate Performance of Multiphase Meter X = Function of Gas Liquid Fraction, Oil Water Fraction and Viscosity. 9. Meter X Hydrocarbon Performance ( % Error of True Oil Rate), Meter Calibrated for the Fluids Used in Matrix 1 Oil Viscosity 14 cp, Salinity 3 kg/m3 Meter X Hydrocarbon Performance ( % Error of True Oil Rate), Meter Calibrated for the Fluids Used in the Matrix 1 Oil Viscosity Increased from 14 cp to 3 cp 9 8. 8 Reference watercut (%) 7. 6. 5. 4. 3. Reference watercut (%) 7 6 5 4 3 5 25 5-5 - -25 2. 2-5 -.... 2. 3. 4. 5. 6. 7. 8. 9.. Reference (%) 2 3 4 5 6 7 8 9 Reference (%) Viscosity Change 8 Copyright 22 by ASME

Figure 6: Oil Rate Performance of Multiphase Meter M = Function of Gas Liquid Fraction,Oil Water Fraction and Viscosity Reference watercut (%) Meter M Hydrocarbon Performance ( % Error of True Oil Rate), Meter Calibrated for the Fluids Used in Matrix 1 Oil Viscosity 14 cp, Salinity 3 kg/m3 9 8 7 6 5 4 3 2 2 3 4 5 6 7 8 9 Reference (%) 5 25 5-5 - -25-5 - Reference watercut (%) Meter M Hydrocarbon Performance ( % Error of True Oil Rate), Meter Calibrated for the Fluids Used in the Matrix 1 Oil Viscosity Increased from 14 cp to 3 cp 9 8 7 6 5 4 3 2 Viscosity Change 2 3 4 5 6 7 8 9 Reference (%) 5 25 5-5 - -25-5 - Figure 7: Oil Rate Performance of Multiphase Meter V = Function of Gas Liquid Fraction and Oil Water Fraction: Multiple unconnected regions of high performance (sweet spots) exist making use in process control difficult Meter V Hydrocarbon Performance ( % Error of True Oil Rate), Meter Calibrated for the Fluids Used in Matrix 1 Oil Viscosity 14 cp, Salinity 3 kg/m3 9 Reference Watercut (%) 8 7 6 5 4 3 2 2 3 4 5 6 7 8 9 Reference (%) 5 25 5-5 - -25-5 - 9 Copyright 22 by ASME

Fig. 8 Matlab Simulator of and Liquid Level Control ( is considered to be a function of Liq. Level and Qlout),1 5 Gain2.1, -.1,18 -.1,28.1, 35 Sum6 Sum5 -.1,35.1, 42.1,52 -.1, 59 SP Liquid Level SP PID Moving Liquid Level Set point1 Liquid Inflow Rate Constant Step 15387 Flow rate calculation1 Liquid Inflow Rate (bbl/d) Liquid Level/Separator Diameter Saturation Sum2 PID Sum1 Max and Min Liquid Level Setpoint Saturation Sum PID PID Liquid Levl 1/5 -K- (s+.2) ma to Pneumatic psi line delay -/12/ (s+.1) LCV response LCV position to Flow rate flow coeficient calculation LCV Saturation 23.8. 1.31 5.3-1.7 s Sum3 Flow rate Geometry Gain1 Level/ Sum4 to volume 15387 Sum7 Const Flow rate Liquid Outflow Rate calculation2 (bbl/d).1 1 Gain3 Sensor Gain Figure 9: Effects of Control on Slug Levels in Large Separator = f (Level, Qlout); 8 x 35 Horizontal Vessel 4x increase in vessel size; 25% increase in Slug size System with Control System without Control Figure 9A: Liquid Level and Response to Liquid Slug Input ( set point=.3; Liquid Level Set Point=.5) Figure 9B: Liquid Level and Response to Liquid Slug Input ( set point=.3; (Liquid Level Set Point=.5) Copyright 22 by ASME