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Presentation Prepared By: Dale Lee, P.Eng. May 30, 2013 DL PETROLEUM ENGINEERING AND CONSULTING LIMITED Google.

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Presentation on theme: "Presentation Prepared By: Dale Lee, P.Eng. May 30, 2013 DL PETROLEUM ENGINEERING AND CONSULTING LIMITED Google."— Presentation transcript:

1 Presentation Prepared By: Dale Lee, P.Eng. May 30, 2013 DL PETROLEUM ENGINEERING AND CONSULTING LIMITED Google

2 DL Petroleum Engineering and Consulting Ltd. Waterflood Concepts Our Methodology Devon Waterfloods (Diana Goldstein) Q&A AGENDA

3 Engineering focus Analyze reservoirs production performance Predict the locations of underperforming wells Injectors and Producers Predict underperforming regions of reservoirs Infill Drilling injector conversions Primary Analytical Tool: Oil Field Manager (OFM) DL PETROLEUM ENGINEERING AND CONSULTING LIMITED

4 Engineering focus Statistical analyses of hydrocarbon production Spatial statistics (i.e. kriging & Regression Analysis) P etro-physical data Pressure & Production history Purpose Optimize hydro-carbon recovery Make money DL PETROLEUM ENGINEERING AND CONSULTING LIMITED

5 Previous Studies: Arsenal Energy: Provost Area – Analyzing pools Bangladesh (BGFCL): Titas – non associated gas field Devon Energy: Ferrier – waterflood CNRL: Nipisi – waterflood Grand Forks – waterflood Petro-Canada:Golden Lake – heavy oil waterflood Bellshill Lake – bottom water drive Wapiti – primary oil production Williston Green - waterflood DL PETROLEUM ENGINEERING AND CONSULTING LIMITED

6 Objectives of Waterflooding Maintain pressure support above bubble point Keep gas in solution Minimize oil viscosity (gas dissolved in oil) Physical displacement of the oil by the water Balance the voidage replacement ratios (VRR) VRR = (Injection/Production) at res. conditions Optimize oil recovery WATERFLOOD CONCEPTS

7 Pressure Temperature phase envelope C to C 1 considered waterflood zone Petroleum Society Canadian Institute of Mining, Metallurgy & Petroleum, Determination of Oil and Gas Reserves, Petroleum Society Monograph No. a, Pg. 147

8 WATERFLOOD CONCEPTS

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11 Google: https://www.google.ca/search?q=waterflood&hl=en&rlz=1C2SFXN_enCA499CA522&tbm=isch&tbo= u&source=univ&sa=X&ei=rG2dUa3KHIr9iQLf7oH4Cg&sqi=2&ved=0CEEQsAQ&biw=1680&bih=863, May 22, 2013 – Date Accessed WATERFLOOD CONCEPTS

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13 Example – Ferrier Unit #2 (Devon) WATERFLOOD CONCEPTS

14 WATERFLOOD CONCEPTS FERRIER PERFORMANCE

15 WATERFLOOD CONCEPTS VOIDAGE REPLACEMENT RATIO

16 WATERFLOOD CONCEPTS PRESSURE DATA ANALYSIS

17 WATERFLOOD CONCEPTS FLUID PVT DATA

18 WATERFLOOD CONCEPTS FRACTIONAL FLOW (WATER)

19 WATERFLOOD CONCEPTS FERRIER EXAMPLE

20 WATERFLOOD CONCEPTS FRACTIONAL FLOW CURVE (WATER)

21 WATERFLOOD CONCEPTS PRODUCER WATER SATURATION

22 Our methodology delivers: Production Forecasts - Fractional Flow Analyses Production Trends - OFM Scatter Plots Production Trends - Aerial Maps Individual Well Production Analysis Regional or Pattern Production Analysis Inadequate Injection Support Identification Damaged Injector Identification OUR METHODOLOGY

23 OUR METHODOLOGY FRACTIONAL FLOW (OIL)

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25 OUR METHODOLOGY FRACTIONAL FLOW

26 OUR METHODOLOGY FRACTIONAL FLOW (WATER)

27 OUR METHODOLOGY FRACTIONAL FLOW (OIL)

28 OUR METHODOLOGY FRACTIONAL FLOW (GAS)

29 OUR METHODOLOGY FORECAST - FRACTIONAL FLOW

30 OUR METHODOLOGY PRODUCER OIL SATURATION

31 OUR METHODOLOGY PRODUCER QUADRANT ANALYSIS

32 OUR METHODOLOGY CONFORMANCE PLOTS

33 Conformance plot of recovery factor as a function of hydrocarbon pore volume injected for each pattern. The thick black line represents the average pattern OUR METHODOLOGY CONFORMANCE PLOTS

34 OUR METHODOLOGY INJECTOR HALL PLOTS

35 The red curve is used as a base line for calculating incremental reserves ( 100,000 bbl) OUR METHODOLOGY INCREMENTAL OIL CALCULATIONS

36 OUR METHODOLOGY STATISTICAL ANALYSIS

37 Statistical Study 139 wells 77 modeled ± 20% 16 wells under performed 46 wells over performed (e.g. pressure support)

38 Statistical Limitations: Regression equations are only valid for the dataset analyzed Attention to end points (e.g. modeling relative permeability curves) Statistical models iterative Results can change with dataset and location Fractional flow analysis can not be generalized One reservoir is not necessary representative of other reservoirs Each dataset requires individual analysis OUR METHODOLOGY STATISTICAL LIMITATIONS

39 First presented at the 46 th Annual Technical Meeting May, 1995 in Banff Published in the Journal of Canadian Petroleum Technology, August 1996 OUR METHODOLOGY FRACTIONAL FLOW (OIL)

40 NEXT: DEVON WATERFLOODS (DIANA GOLDSTEIN)


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