Multiphase Metering and Well Rate Estimation Methods for Field Allocation

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Multiphase Metering and Well Rate Estimation Methods for Field Allocation Arne Morten Dahl (Statoil, DPN OMN KH PTC KRI) 2014-06-05

Outline MPFM for field allocation, introduced by tie-in of Tyrihans to Kristin Original metering philosophy and allocation principle Events and challenges Remedial actions and changes Status metering and allocation 2014 Future challenges technologies / opportunities 2 2013-02-25

Kristin subsea infrastructure Kristin Semi - processing & gas export via ÅGT 4 production/ templates Åsgard C condensate export 6 x DEH flowlines, 7km to Kristin 2005 2009

Tyrihans subsea infrastructure Kristin Semi - processing & gas export via ÅGT Åsgard C condensate export Gas injection/lift flow-line from Åsgard B 43km DEH flowline to Kristin 1 SRSWI template (power from Kristin) 2005 2009 4-4 production/ GI templates Classificati on: Internal 2010-05-03

Metering Flare Fuel Fuel for Tyrihans SRSWI power C Kristin field C Performance curve C Performance curve 6x Flowlines 10", 7km Kristin platform Flare gas fiscal meter (5,0 % std. vol) fm Gas Processing fm Import gas fiscal meter (1,5 % std. vol) Fuel gas fiscal meter (1,5 % std. vol) fm gc ss fm Export gas fiscal meter (1,0 % mass) Gas export to Åsgard Transport -> Kårstø M Well1 MPFM Kristin wells Tyrihans field C Well n Performance curve 1x Flowline 18", 43km M M 10" MPFM x2 Inlet sep ss M Fiscal standard Test sep ss ss M wo od Fiscal standard Liquid processing fm wo Fiscal standard (1,5 % std. vol) ss as fm M, D Export oil fiscal meter (0,3 % std. vol) Gas lift Tyrihans riser Oil export to Åsgard C Well1 C Well n Tyrihans Production wells C Gas lift wells M Fiscal standard Water treatment ss ow M Produced water to sea C C Gas lift Tyrihans riser Fiscal standard (1,0 % mass) Åsgard B Tyrihans Gas Injection wells Tyrihans Gas Injection and Gas Lift gc fm 5 - Classification: Internal 2011-05-20

Tyrihans Topside and Subsea MPFM Topside MPFMs Subsea MPFM 6 - Classification: Internal 2010-05-03

Main purposes of oil and gas allocation Fiscal allocation Ownership allocation, distribution of the income Oil and condensate mass Gas energy Production Management Detailed production monitoring and optimization Allocated production and injection volumes for individual wells Reservoir Management Reservoir simulation model history matching Allocated production and injection volumes for individual wells 7

Original Allocation principle: Kristin as balance field (Kristin by difference KBD) TYR = 80% of total production QC Tyrihans Topside MPFM Tyrihans allocated volume Volume to mass Tyrihans allocated mass Oil recovery factors Tyrihans mass/ volume Fuel and Flare allocation Fuel and Flare Metering Difference Kristin allocated volume Volume to mass Kristin allocated mass Gas and Condensate Metering 8

Allocation factor = Allocated volume/theoretical volume Tyrihans start-up

Troubleshooting Allocation System The original field allocation system does not reproduce the results from field tests. Main issues seem to be: Test separator readings high compared to export rates Topside MPFM mass correction is not linear as a function of rate under calibration Unable to calibrate topside MPFMs against the test separator at normal operational conditions Problem with gas measurements at high rates Allocation principle with Kristin as balance field

MULTIPHASE METER CORRECTED MULTIPHASE METER Multi phase flow meter calibration principle CALIBRATION AGAINST TEST SEPARATOR MULTIPHASE METER AT NORMAL OPERATION 10000 Sm3/d 2000 Sm3/d 5000 Sm3/d 5000 Sm3/d 1000 Sm3/d 4000 Sm3/d Ko = 1.25 4000 Sm3/d NORMAL OPERATION 5000 Sm3/d TEST SEPARATOR 4000 Sm3/d 8000 Sm3/d UNCORRECTED MULTIPHASE METER

MULTIPHASE METER CORRECTED MULTIPHASE METER Multi phase flow meter calibration principle CALIBRATION AGAINST TEST SEPARATOR MULTIPHASE METER AT NORMAL OPERATION 10000 Sm3/d 8600 Sm3/d FIELD TEST 5000 Sm3/d 5000 Sm3/d 4000 Sm3/d Ko = 1.25 NORMAL OPERATION 5000 Sm3/d TEST SEPARATOR 4000 Sm3/d 8000 Sm3/d UNCORRECTED MULTIPHASE METER

New allocation method: 1) Subsea HC mass, 2) ProRata principle Tyrihans allocated volume Volume to mass Tyrihans allocated mass SPLIT PRO RATA (oil) By difference (gas) Fuel and Flare allocation Fuel and Flare Metering Gas and Condensate Metering Imbalance Kristin allocated volume Volume to mass Kristin allocated mass SUM Oil recovery factors Tyrihans mass/ volume Kristin mass/ volume QC Kristin Performance curves Test separator metering Tyrihans Subsea MPFM Tyrihans Performance curves Update of Tyrihans performance curves Kristin SEMI HC production QC QC Gas Export, Condensate Export, Fuel, Flare and Lift Gas Metering 13

Allocation quality control Kristin Flowline tests Campaign (KFC) > Tyrihans by Difference (TBD) Topside MPFM calibration Topside MPFM rates with updated correction factors, trends Sum Tyrihans subsea MPFM and PC theoretical rates, trends Sum Kristin PC theoretical rates, trends Allocation factors Expected allocation results Kristin GOR from history matched reservoir simulations Single field tests Shut down one field, produce the other field through topside process fiscal metering 14

Allocation factors 2011

Summary: Challenges in Kristin-Tyrihans Allocation Tyrihans topside multiphase flow meters (MPFM) disqualified for allocation Cannot be calibrated against test separator at normal operating conditions due to test separator rate limitation Can be corrected against result for Tyrihans from Kristin Flowline tests (KFC) but limited validity Sum Tyrihans subsea multiphase flow meters: backup method One or more subsea multiphase flow meters not in working order (backup for backup!) Extensive use of well performance curves (PC) both on Kristin (by design) and Tyrihans (backup for subsea MPFMs) Single field tests that require shut-down of either Kristin or Tyrihans are costly and do not show the mixing effect of the two fields. Field allocation requires extensive monitoring and follow-up Allocation accuracy dependent on test separator performance (availability, accuracy..) 16

Future challenges / concerns Replacing existing subsea MPFMs (present vendor) Long delivery time, dependent on available choke modules Reliability (will they fail again?) Low pressure production (LPP) from 2014 Change in topside process conditions (PVT, ORF-factors, etc.) Test separator capacity change Performance of subsea MPFM change under LPP conditions? Topside MPFM GVF approaching 95% (reduced accuracy, reduced validity of corrections factors..) Possible additional 3rd party tie-ins Change in metering philosophy Change in allocation procedure Change in topside process conditions (PVT, ORF-factors, etc.) 17 2013-02-25

Future technologies / opportunities Virtual metering Replace direct measurements by indirect analysis and modelling Replace/complement MPFMs «Model based allocation». Calculations based on online data model of the subsea system, updating based on sensor changes Figure: FMC 18 2013-02-25

Topside QoT Tyrihans VM case QgT QwT Flowline DSCP1 DSCP2 Many parameters are measured in Tyrihans production system WHP, WHT, USCP, USCT, DSCP, DSCT, DHP, DHT, DHP1, DHP2, etc. Topside at Kristin Semi some important parameters are also measured Corrected topside MPFM rates, KFC rates, total Tyrihans fluid densities USCP1 USCP2 WHP1 WHP2 Well 1 Well 2 Use all this measured data to provide estimates on well rates VM is a collection of mathematical models to estimate well rates accounting for most available data ivm is the software tool where the VM problem is solved and where the results are presented Qo1? Qg1? Qw1? DHP1 Qo2? Qg2? Qw2? DHP2 19

Petex ivm field overview Figure: Petroleum Experts 20 2013-02-25

ivm rate estimation techniques Figure: Petroleum Experts Increasing # of models predicting same rate - More confidence this is the correct rate If model predictions start to deviate: - Well behaviour has changed (GOR, WC, PI etc.) - Update model parameter constraints/initial values accordingly 21 2013-02-25

Current status / experience Tyrihans ivm System installed late 2013 Q1-2014 QC / troubleshooting software, models, model updating, data transfer and system stability System currently running continuously updating results Q2-2014 Further QC and software improvements Implement writing ivm rates to production database (EC) Enables IVM rates available for input to allocation, replacing performance curves / subsea MPFM where applicable 22 2013-02-25

Acknowledgements: Trygve Kløv Kurt Haugnæss Even Lillemo Yngve H. Belsvik Kolbjørn Kyllo (all Statoil) Multiphase Metering and Well Rate Estimation Methods for Field Allocation Arne M. Dahl Principal Engineer Prod Tech, Kristin Petek KH PTC KRI amda@statoil.com Tel: +4792660405 www.statoil.com 23 2013-02-25

Backup slides 24 2013-02-25

Allocation input and sources TYH HC mass TYH total mass (Subsea MPFM and Performance Curves) TYH total water mass fraction (Test separator) PVT TYH total HC composition (GOR) ( KFC KRI flowline separator tests) TYH total HC molecular weight pr component (Recombined PVT-samples) Tyrihans gas molecular weight (ISO 6976) Oil recovery factors (ORF) (Hysys process simulation) Tyrihans oil density (Hysys process simulation) Kristin condensate density (Hysys process simulation) Well rate estimates Kristin theoretical condensate volume (Performance Curves, KFC KRI flowline separator tests) Tyrihans theoretical oil volume (Subsea MPFM and Performance Curves) Fiscal metering Total export oil and condensate (Fiscal export meters) Total export, fuel and flare gas (Fiscal export meters) 25

PVT sampling KRI/TYH Basis for ORF-calculations and allocation Process simulations (ORF update) Desember Januar Sampling of TYH mixed well stream + condensate & export gas November Februar When necessary due to fluid changes (new wells, wells shut down etc.) Oktober September Mars April Approx. every three months Annual sampling of KRI wells / flowlines Reallocation is performed when ORF is updated August Mai Juli Juni 26

Allocation workflow TFT = Tyrihans Flowline Tests KFC = Kristin Flowline Tests Campaign TFT KFC Tyrihans by difference Pro rata period TFT KFC Cont. Input Input Adjustment Tyrihans total water mass fraction based on TFT Kristin production based on KFC «Tyrihans by difference» (one production day) Tyrihans production based on total production and KFC/TFT Tyrihans GOR and WCT determined «Pro rata period» (normally 14+ days) Based on latest «Tyrihans by difference» Pro-rata principle to compensate for Tyrihans GOR/WCT development and Kristin depletion effects (not captured by performance curves) Tyrihans GOR (total HC composition) adjusted if necessary (observed trends) After next TFT and KFC; Previous «pro rata period» adjusted based on new test results 27

Future technologies / opportunities Install new subsea MPFMs (new vendor) Long delivery time, need mechanical fitting, cost Increased subsea power requirement Figure: FMC Subsea PVT sampling (Mirmorax) Representative fluid sampling per well, input to PVT for MPFM calibration / allocation Need mechanical modifications Figure: Mirmorax 28 2013-02-25

Future technologies / opportunities Multi-diciplinary integrated modelling Integration of Reservoir simulation to Topside process simulations for history matching and future forecast of ORF Possibility for more frequent update of ORF calculations by utilizing input from reservoir simulations Possibility for less frequent update of ORF based on Lab sample measurements due to knowledge of future development Figure: Petrostreamz 29 2013-02-25

Tyrihans virtual metering case For Tyrihans the following applies: The Tyrihans field was developed with limited metering flexibility No access to the test separator for individual wells Subsea multiphase flow meters (MPFMs) failing Calibration of subsea MPFMs against measured data not possible Accuracy of uncalibrated subsea MPFMs is questionable PVT - liquid and gas density has changed since installation Additional corrections due to drifting and change in meter behavior Virtual metering (VM) techniques can provide estimates for well rates that are not measured or inaccurately measured The confidence in virtually metered rates should be higher than any other type of estimates 30 2013-02-25