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Real time monitoring and well testing - revival of reservoirs spirits

Real time monitoring and well testing - revival of reservoirs spirits. Plan. Well-testing, production logging etc. , as informational basis for numerical reservoir modeling Information from technological measurements Information from well-tests Technological and well-testing control

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Real time monitoring and well testing - revival of reservoirs spirits

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  1. Real time monitoring and well testing - revival of reservoirs spirits

  2. Plan • Well-testing, production logging etc., as informational basis for numerical reservoir modeling • Information from technological measurements • Information from well-tests • Technological and well-testing control • Permanent down-hole measurement tool (PDMT) • Technological and well-testing data usage for numerical modeling

  3. Data gathering for numerical models Production control methods Technological measurements Field Technological measurements Well-testing Wellhead rate and water-cut measurements, down-hole pressure measurements

  4. Field Technological measurements Wellhead pressure Dynamic & static fluid level Liquid & gas rate Down-hole pressure Producing well Shut-in well

  5. Field Technological measurements Hждин Liquid Foam Gas Error in down-hole pressure estimation on base of dynamic fluid level Calculated pressure by fluid level hг” hп” hг’ Error 20-30 atm hп’ hг hп Measured pressure

  6. Well-testing DST Build-up in natural flowing well Fall-off Build-up after swabbing (down-hole shut-in)

  7. Production enhancement on base of well-test data Well-test after frac S=-4.7 Well-test before frac S=+1

  8. Production enhancement on base of well-test data Well-test before acidizing S=+9 Well-test after acidizing S=-3 10 times increase in producing interval

  9. Dual porosity parameters Estimation (Carbonates)

  10. l=1.4 10-3 l=1.4 10-5 Dual porosity parameters influence Production Recovery Production Cumulative production History Forecast

  11. Long-term monitoring of technological well parameters Карраsoft

  12. Sector model history matching Topaze

  13. Long-term technological parameters monitoring interpretation by sector model creation 2D 3D Initial pressure Saphir

  14. Data gathering for numerical model Production control methods Technological measurements Field Technological measurements Well-testing A lot of tests A lot of information TECHNOLOGICAL AND WELL-TESTING CONTROL

  15. Permanent down-hole measurement tool (PDMT) 1 gage Wellbore spaced Autonomous Surface connected fiber-optic (temperature gage) in vertical well fiber-optic (temperature gage) in horizontal well On tubing + + On ESP + On anchor + Data transmission through formation toobservation well With cable Without cable Cable in annulus Data transmission by ESP power cable + Acoustic data transmission + + + Fixed gage depth + With dual completion Electromagnetic data transmission Without dual completion + Relocatable gage + Other types of cannels Without packer With electro-packer +

  16. Multilayer reservoir management on base of permanent down-hole measurement of well parameters and on-linetransferring to surface P,T P, T, Q & water hold-up

  17. Well-testing of ESP wells with autonomous gages on tubing under ESP Pressure Скважина ***7, давление в декартовых координатах time Log-log plot Semi-Logplot Р f(lnt) f(lnt)

  18. P,T Surface connected PDMT (gages on ESP intake) Liquid rate I Cumulative production Reservoir pressure Bottom hole pressure 3 time

  19. Surface connected PDMT (gages on ESP intake) • well • Reservoir pressure • Permeability • Skin • Fracture parameters • Productivity index Р,аtm k, md S, Xfr, m PI, m3/day/аtm Water rate Cumulative oil Oil rate • layer • Permeability • Diffusivity • Fracture length & orientation k, md , сm2/с time Pressure

  20. Autonomous PDMT on anchor (on casing) Tool 1 Pressure Rate Tool 2 time Tool 1 Pressure Tool 2 Rate

  21. Individual permanent remote control of commingled production with dual completion 250 200 150 100 50 Down-hole rate Well-head rate Pressure Gage 2 5 time 22.05.2009 11.06.2009 01.07.2009 Pressure Gage 2 1100 900 700 Density

  22. Individual permanent remote control of commingled production with dual completion Р[аtm] Р[аtm] Q[m3/day] Q[m3/day] Water hold-up Gage 2 Рпл Рпл time Water hold-up Gage 1 Reservoir pressure & PI estimation Upper formationLower formation

  23. Individual permanent remote control of commingled injection with dual completion II Pressure III I Water rate time Log-Log plot Semi-Logplot fp(lnt) fp(lnt)

  24. Individual permanent remote control of commingled pressure-observation well with dual completion Temperature Tubing pressure Reservoir pressure time

  25. Example of acoustic transmission channel for PDMT Resiver Producer with ESP Power cabel Tubing ESP PLT tool Transmitter Formation

  26. Electromagnetic on-line data transmission through tubing Receiver • Tubing • Pump • Generator • Electrical connection with casing • Perforation • Dipole • Insulator • Dipole

  27. 3D permeability distribution in reservoir modeling on base of well logs, well-test & PLT data ГДИС K эфф . раб a = ГИС K эфф раб . Log Netpay feses 2D Perm Perm heterogeneity PLT φ History Perm 3D Perm Geology Well-test рис.27

  28. 3D permeability distribution Geological model ВНК Simulation model

  29. Local permeability tuning on base of well-testing and production logging clayed sublyaers start to absorb water with high pressure injection

  30. Local permeability tuning on base of well-testing and production logging clayed sublyaers

  31. Inter-well transmissibility tuning by tracer study and interference (hydraulically fractures modeling) Tracer

  32. Hydrofracs orientation control Initial fracs orientation 17010 Changed fracs orientation Saturation Tracer DSI Mobility Seismic frac monitoring

  33. 3D permeability distribution on base of well-test & PLT Reservoir model Matching Upscalling Current well-test & PLTof operating wells History Seismic Development options, production forecast, drilling and well interventions planning Geological model core Logs PVT Adapted reservoir model Paleogeology

  34. Wells history matching Well oil production Model Oil rate History bhfp Well liquid production Model Water rate History

  35. Production forecast Permeability map from model Planned wellls Forecasted and real rate of planned wells comparison difference 8.7 % rate well

  36. Decreasing production decline FOPR - oil rate, model (m3/day) FOPRH - oil rate, hist(m3/day) FWPR - water rate, model (m3/day) FWPRH - water rate, hist(m3/day) FWIR - waterinjection, model (m3/day) FWIRH - waterinjection, hist(m3/day) FPR - fieldpressure, (atm) Water injection Reservoir pressure Oil production, history Oil production without technological and well-testing control Water production

  37. Revival of reservoirs spirits Drilling Fracturing Oil Production ,t Production Wells Real time technological and well-testing control

  38. Revival of reservoirs spirits 25% production increase Oil Production ,t Wells

  39. Conclusions: • Well-test and field technological measurements integration as TECHNOLOGICAL AND WELL-TESTING CONTROL is a modern trend in petroleum industry. • It gives accurate information about well and formation from almost every well. • It happens due to permanent down-hole measurement tool development and implementation. • TECHNOLOGICAL AND WELL-TESTING CONTROL well be a data gathering basis for numerical modeling in near future. It gives dramatic increase in reservoir model reliability. • Reliable models increase drilling and well interventions efficiency, which leads to production enhancement and help decrease production decline in several fields of the Company.

  40. Current topic SPE publications SPE 138049 Permanent Downhole Production Monitoring & Well-testing of Commingled Production Reservoirs SPE 138089 Specifics of application of dual completion on Priobskoye field SPE 115323 Well-test interpretation in case of behind-the-casing crossflow SPE 101047The Way the Oil Companies Tackle the Field Production Monitoring Problems in Russia SPE115351Carbonate reservoir simulation improvement on base of well-test data to increase forecast reliability SPE133746Oil Recovery Enhancement From Low-Permeable Reservoirs On Base Of Reservoir Simulation With Well-Testing And Production Logging

  41. Thanks to • SPE • Gazprom neft • Gubkin uni. Gubkin scientific and production Oil & Gas Geology & Hydrodynamic centre A.Ipatov, D.Gulyaev, N.Chernoglazova, V.Kokurina, S.Melnikov, I.Khrometskaya, V.Krhichebskiy www.gubkin-center.ru

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