Gas Lift Workshop Singapore 7-11 February 2011
Transcription
Gas Lift Workshop Singapore 7-11 February 2011
Gas Lift Workshop Singapore 7-11 February 2011 API RP 19G11 Dynamic Simulation of Gas Lift Wells and Systems Juan Carlos Mantecon – 1 CONTENT • This presentation describes dynamic simulation and its current applications for gas-lift wells and systems. • It gives an overview of the new (in draft format) API Recommended Practice for Dynamic Simulation of Gas-Lift Wells and Systems: API RP 19G11. 2 API RP 19G11 • This API Recommended Practice covers the application of dynamic simulation for gas-lift wells and systems. • Dynamic simulation is an important tool to assist in the design, operation, surveillance, troubleshooting, and diagnosis of gas-lift processes. • Most gas-lift design and diagnosis programs have used steady-state models. This may lead to inappropriate designs and inefficient operations because gas-lift wells and systems are seldom steady. Gas-lift wells usually exhibit dynamic pressure and flow rate fluctuations. • It is important to understand the dynamic behaviour of wells and systems so they can be more appropriately designed, operated, and diagnosed. • Although the primary focus is currently on gas-lift, this API-RP addresses a broad range of artificial lift systems and topics 3 API RP 19G11 – WORK GROUP MEMBERS 20 members representing 16 companies and one university Juan Mantecon, SPT Group - Chairperson Cleon Dunham, Oilfield Automation - Secretary Adam Ballard, BP Arne Valle, Knud Lunde, StatoilHydro Boots Rouen, Schlumberger Dan Dees, AppSmiths Eric Laine, Laine Consulting Fernado Ascencio Candejas, PEMEX Dr. Fernando Samaniego, UNAM (Mexico Autonomous Nacional University) Galileu Paulo Henke A. Oliveira, Petrobras Greg Stephenson, Occidental Kallal Arunachalam, ConocoPhillips Ken Decker, Decker Technology Murat Kerem, Shell Octavio Reyes, Technip Shanhong Song, Chevron Wayne Mabry, Shell Yaser Salman, YAS Petroleum Eng. 4 Yula Tang, Chevron 4 DYNAMIC SIMULATION • The application of multiphase flow transient numerical simulation (dynamic simulation) techniques in wells and production systems has become an important methodology to ensure: ─ Wells/field life cycle sound engineering design, ─ Optimal operation guidelines, ─ Optimization of investment and operating costs, ─ Production optimization, and ─ Minimization of risk, safety hazards, and environmental impact. 5 DYNAMIC SIMULATION P12 • Dynamic simulation can be used at any stage of a field’s life cycle to build a virtual model of a well and/or production system. P11 P10 P9 P8 P7 • It can help to understand transient well behaviour and determine the optimum process to eliminate or minimize instability problems. P6 P5 P4 P3 • It can be used to analyse "what if" scenarios and predict results. P2 P1 • It does not replace NODAL® analysis but fills gaps where steady-sate analysis techniques cannot provide adequate solutions. 6 1 2 1 3 2 4 3 5 4 6 5 1,2,3,…,5 (inside) : section volumes 1,2,3,…,6 (outside): section boundaries NODAL® vs. DYNAMIC SIMULATION •The weak points of NODAL S.S. analysis comparing with dynamic (transient) simulation are: • • • • • • Unable to predict severe slugging introduced by riser / flowline or / sinusoidal wellbores Unable to perform instability analysis Unable to performance gas-lift unloading analysis Unable to predict dynamic behaviour of plunger lift Unable to look at gas/condensate gas well liquid load-up issues Unable to performance flow assurance study, e.g., start-up / shutdown, corrosion / chemical injection 7 7 DYNAMIC SIMULATION for WELL DESIGN Well design: Understand effects of well design & associated dynamic effects on well operations, including: • Vertical wells • Horizontal / Sinusoidal wells • Multi-lateral wells 8 DYNAMIC SIMULATION RECOMMENDED AREAS OF USE Gas-lift unloading / plunger lift Instablility / Severe Slugging Gas-lift design and optimisation Cross-flow analysis Gas well Liquid load-up Well Clean-up / start-up Well Testing: Wellbore Storage effects / Segregation effects Wellbore thermal calculations Flow Assurance Inhibitor requirements 9 DYNAMIC SIMULATION APPLICATIONS • One of the relevant areas of application is for gas-lift wells and systems. • In particular, it is useful for subsea and deepwater gas-lift wells, where transient issues related to flow assurance, complex wellbore profiles, long flowlines, and risers play a significant roll in gas-lift system design and production optimization. 10 Sea level Mud line DYNAMIC GAS LIFT APPLICATIONS • • • • • • • • • • • • • • Continuous gas-lift / Gas-lift valve performance Intermittent gas-lift Gas-assisted plunger lift Dual gas-lift Single-point gas-lift “Auto” gas-lift (gas from one zone is used lift other zones) Riser gas-lift Gas-lift for gas well deliquification Gas-lift unloading Kick-off of gas-lift wells Use of gas-lift for wellbore clean-up Gas-lift system distribution with various types of system configurations Use of un-dehydrated gas Use of non-hydrocarbon gases such as CO2 and N2. 11 TYPICAL GAS LIFT WELL CONFIGURATION Sea level Modelling concerns: a) Annular Flow Mud line b) Heat Transfer c) Non-constant Composition in Tubing above Injection Point d) Unloading Valves Operation Gas Lift is clearly a transient problem 12 Well Clean-up – Case Study Problem Description • Estimate the minimum rate and time required to clean-up the well – Horizontal Oil Well • Verify the planned well clean-up and testing program using dynamic simulation 13 Well Clean-up – Case Study: NO GAS LIFT 14 Well Clean-up – Case Study: GAS LIFT When using gas lift (300 scf/min of N2 during the first 4 hrs), it took 4.3hrs to clean the well. 15 Well Clean-up – Case Study Problem Solutions • It was found that a mud plug was form at the base of the vertical section of the well which could not be lifted using the planned choke opening program. • The injection of N2 at the base of the riser was simulated to evaluate if the amount of N2 in cylinders required to produce the well was realistic or other methodology should be considered • When using gas lift (300 scf/min of N2 during the first 4 hrs), it took approximately 4.3 hours to clean-up the well. • Risk and uncertainty were reduced and value added to the ROI required for a successful clean-up and well test 16 Integrated Modelling Application All-in-One Gas Lift Example Reservoir-Well-GL-Flowline-Riser-Separator-Facilities ID=8-in, Depth=120 m Gas Lift ID=8-in, Length=4.6 km Annulus ID=0.2159 m PC Depth=2840 m PCV W1 W2 ID=2 m, Length=6 m NLL=0.842 m HHLL=1.687 LLLL=0.315 W3 W4 Tubing ID=0.1143 m Gas Outlet LC Production Separator • • Riser Quasi-dynamic Reservoir: incorporated explicitly Facilities: Simple model LCV Emergency Drain Valve 17 Emergency Liquid Outlet Liquid Outlet Integrated Modelling Application Gas Lift Example Gas rate Reservoir-Well-GL-Flowline-Riser-Separator-Facilities 18 Example: Using a DS for Unloading GL Wells Data provided by a well with 6 gas lift valves and a gas injection valve. Well Profile GLV details Elevation profile PRODUCTION_TUBING 500 Valve Depth (m) Size R Dome Pressure (bara) 1 761 20/64” 0.104 105.4 2 1327 20/64” 0.104 110.3 3 1651 20/64” 0.104 112.8 4 1795 20/64” 0.104 113.4 5 1921 20/64” 0.104 113.9 6 2049 20/64” 0.104 114.4 7 2192 24/64” - - 0 -500 1 Elevation [m] • -1000 -1500 2 3 -2000 4 5 6 -2500 7 -3000 0 500 1000 1500 Helix RDS Well Instability - Kick-of f Gas Simulations - T14 19 2000 2500 Length[m] 3000 3500 4000 4500 5000 Example: Using a DS for Unloading GL Wells 20 Example: Using a DS for Unloading GL Wells 21 INFORMATION PROVIDED BY DYNAMIC SIMULATION Slugging flow: • Understand slugging flow effects and the impact on well performance • Understand when, where, and under which conditions slug flow is originated • Understand how slug flow conditions can be minimized or eliminated Water and/or hydrates: • Understand the effects of accumulated water and hydrates in lines, gas-lift valves, etc. • Understand the effects of water-induced corrosion and how this can affect stability. • Understand when, where, and under which conditions hydrates may be formed. Production chemistry: • Understand the effects scale, wax, and/or paraffin formation and the impact of this on well performance and stability. SSSV location. 22 INFORMATION PROVIDED BY DYNAMIC SIMULATION Gas-lift valve performance: • Understand information for dynamic gas-lift valve optimum location and orifice performance – design/troubleshooting Well equipment: • Understand the effects of downhole pressure restrictions such as safety valves, corrosion deposits, scale deposits, wax deposits • Understand the effects of tight spots or holes in the tubing • Understand the effects of risers • Understand the effects of surface equipment such as flowlines, manifolds, separators, separator back-pressure, etc. Well design: • Understand the effects of well design and the associated dynamic effects on well operations. This includes: • Vertical wells • Horizontal wells • Multi-lateral wells • Understand when and where to inject gas into a well: in the vertical, in the knee, in a rat hole, in the horizontal section 23 THE API RP 19G11 DRAFT DOCUMENT Table of Contents This document contains nine chapters to assist the gas-lift industry in understanding and applying dynamic simulation for gas-lift wells and systems: 24 THE API RP 19G11 DRAFT DOCUMENT Table of Contents 25 THE API RP 19G11 DRAFT DOCUMENT Summary of RP (17 pages) • After reading this summary chapter, the reader should understand the RPs that need to be followed to successfully use and deploy dynamic simulation of gas-lift wells and systems. • A reference on where to turn in the document for more detailed information is provided. 26 THE API RP 19G11 DRAFT DOCUMENT Status od API 19G11 • The document can now be used in its current draft form, by anyone who wishes to use it. This means that anyone will be able to download it from ALRDC website. The API won’t sell it in its draft form and will provide it to people free of charge. • The draft document is copyrighted. • API will begin immediately to move the document through the balloting, final editing, and publication process. • Once it has been finalized by API, we will begin the process to edit the document. 27