Recommended
Recommended
More Related Content
Similar to More Oil Recovery Ltd. CSPG Published Technical Paper
Similar to More Oil Recovery Ltd. CSPG Published Technical Paper (14)
Recently uploaded
Recently uploaded (20)
More Oil Recovery Ltd. CSPG Published Technical Paper
- 1. Modelling the Impact of Deep Structures on Liquid Production in the Bakken Oil Shale Play of the Williston Basin in Canada and the USA Ruikun Liu, Andy Newson (Moose Oils) and Terry Buchanan (More Oil Recovery Ltd) May 2010
- 2. Outline Overview of Williston Basin Well Performance General Observation Fracture Models – Salt Collapse Model – Brockton-Froid Model Natural Fracture Data vs Fracture Models Conclusions
- 3. Map of Williston Basin From Chen et al 2009 Brockton-Froid Lineament Torquay Rocanville Trend Partial Salt Solution Collapse Saskatchewan
- 5. DELTA BAKKEN – L.SHALE: 75m – 30m = 45m A A A 23456 7 8 9 10 11 1415161718 19 20 21 22 23 1 12 13 24 23456 7 8 9 10 11 1415161718 19 20 21 22 23 1 12 13 24 23456 7 8 9 10 11 1415161718 19 20 21 22 23 1 12 13 24 AV G G A V A VG G C V AGAG AG AA V AA VAG A A A A A 15-5 4-18 T1T1 R8W2R9 File: ESTEVAN TORQUAY.thermal1.MAP Datum: NAD27 Projection: Stereographic Center: N49.02787 W103.03970 Created in AccuMap™, a product of IHS Evidence of Syn-Tectonic Salt Collapse 11/15-5-1-8W2 31/4-18-1-8W2 NS S. Estevan exhibits 45m growth Bakken to L.Shale 4-18 15-5 1 mile Torquay/3 Forks L.Bakken Shale
- 6. Bakken Well Performance General Observation 2007 2008 2009 2010 2011 Time 1101001000 Avg Dly Wtr (bbl/d) 1101001000 Avg Dly Oil (bbl/d) CRESCENT POINTCurr Licensee: MISSION O&GOrig Licensee: Oil,ProdStatus: BAKKENProd Zone(s): N/AUnit Code: 441497Pool Code: VIEWFIELDField: February 1, 2007On Prod: MISSION VIEWFIELD HZ 3B12-2-1C1 91/12-03-008-08W2/0 April 22, 2010 66426Cum Oil/Cnd (bbl): 51842Cum Gas (mcf): 71439Cum Wtr (bbl): Created in AccuMap (TM), a product of IHS Datum: NAD27 Licence Data to: March 12, 2010 / Production Data to: December 31, 2009 100b/d 10b/d FRAC NO H2O 50% H2O Mission Viewfield HZ 12-3 H2O Rate Oil Rate
- 7. 456 7 8 9 161718 19 20 21 282930 123 10 11 12 131415 22 23 24 252627 456 7 8 9 161718 19 20 21 282930 123 10 11 12 131415 22 23 24 252627 AI V AE V AG AG AGAG AE V AI V G G AV AV E V EV C V G AV AV G T1T1 R9W2R10 R9W2R10 File: ESTEVAN TORQUAY.thermal1.MAP Datum: NAD27 Projection: Stereographic Center: N49.03980 W103.20493 Created in AccuMap™, a product of IHS 14-12 2005 2004 2010 2010 2010 2010 2010 2007 Evolution of HZ Drilling at Tableland 2010 DOES ORIENTATION MATTER?! N Oil Well Large amount of water Uneconomic
- 8. Fracture Modelling Using 4DFrac Salt Collapse Model Brockton Froid Model Data Integration: Structural framework model, geocellular model with all applicable parameters for fracture modelling Modelling of fractures: DFN generation, and analysis, output of volumetric (porosity, sigma etc) and directional (permeability) properties Property output: Eclipse, Sgrid and VIP format export
- 9. Fractures on Salt Collapse Structure N Type I Type II Well
- 10. Rose Diagram Display of Fractures: Salt Collapse Structure Type I Fracture Type II Fracture
- 12. Fractures on Brockton-Froid Model N Type I Type II Well
- 13. Rose Diagram Display of Fractures: Brockton-Froid Model 0 90 180 270 360 10 20 30 40 50 60 70 80 100 110 120 130 140 150 160 170190 200 210 220 230 240 250 260 280 290 300 310 320 330 340 350 N Type I Fracture Type II Fracture
- 14. Fractures in Tableland HZ 14-12 FRACTURE TREATMENTS – PROBABLE H20 COMMUNICATION OUT OF ZONE
- 15. Fractures in Tableland HZ 14-12 Fracture Treatments – Probably H20 communication out of zone
- 16. 0 90 180 270 360 10 20 30 40 50 60 70 80 100 110 120 130 140 150 160 170190 200 210 220 230 240 250 260 280 290 300 310 320 330 340 350 N Well data vs Fracture Models Brockton-Froid ModelSalt Collapse Model Type II Fracture 5% 5% 5% 5% 10% 10% 10% 10% 15% 15% 15% 15% 20% 20% 20% 20% S E N W Waveform Tableland HZ 14-12 Type I Fracture
- 17. Conclusions Two predictive fracture models have been developed for both Brockton-Froid (deep seated fault) and salt collapse scenarios The fracture pattern in the Williston Basin at Tableland may be controlled by complicated, mixed tectonic events of deep seated faulting and post depositional salt collapse. It is proposed that integration of field and well data (e.g. FMI) with the two models will allow a higher degree of success in drilling and completing horizontal wells in the Bakken play of the Williston Basin
- 18. Acknowledgements Midland Valley Exploration Ltd., Glasgow, UK and their structural modelling and analysis software, Move. Bounty Developments Ltd.
- 19. Thank You for Your Attention! Email: ruikun_liu@yaoo.com Thank You for Your Attention! Questions??
Editor's Notes
- The Bakken light oil play in the Williston Basin - SE Sask is often said to be a statistical play because of the diversity of production within small geographical areas. We have examined probable causes and conclude tectonic events in this part of the basin are a key factor. Deep seated faults and salt solution of the underlying (400m below) thick (as much as 200m) Prairie Evaporite beds have created networks of brittle deformation fractures and offset faults which, although probably healed at this time, are planes of weakness which yield at a lower fracture pressure then the Bakken reservoir creating communication to the overlying Lodgepole acquifer. We present one example where offset faulting (a few meters) was identified by the operator during the drilling of the well. A dipmeter type tool called the FMI (Formation MicroScanner Imager) was processed and interpreted revealing two highly fractured/faulted intervals having an E-W strike perpendicular to the N-S orientation of the wellbore. Eight fracture treatments where equally spaced along the well with two coincident with the disturbed zones. The well was uneconomic producing large volumes of water. A later well drilled E-W is an oil well. Using software called 4DFrac , we have created two generic predictive fracture models for both faulted and salt collape scenarios. The models, although not specifically modelled to fit the field example, are directionally correct. It is proposed that integration of the ever increasing amount of field data with these predictive models and by taking into account well specific data (drilling, FMI, etc) the statistics of this, and similar plays, can be much improved.
- Wet wells may be due to communication out of zone into overlying Lodgepole