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Capillary Pressure Properties of Hydrocarbon Reservoir Sequences

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Title: Capillary Pressure Properties of Hydrocarbon Reservoir Sequences


1
Title
Capillary Pressure Properties of Hydrocarbon
Reservoir Sequences Combining Core Data with
Petrophysics
Digital Formation, Inc. November 2003
2
Contents
  • Benefits
  • Overview
  • How to Run the Model
  • Examples
  • Pro-Forma Modeling
  • Tight Gas Sand
  • Oil Reservoir with Stacked Accumulations
  • Conclusions

This technique is protected under US Patent
6,484,102Additional patent application pending
3
Benefits Petrophysics I
  • Integrates capillary pressure information with
    petrophysics.
  • Allows for realistic choices of free water level,
    even if it is below the total depth of the well.
  • Quantifies changing rock quality as defined by
    porosity/permeability relations, and hence a
    method to estimate permeability profiles.

4
Benefits Petrophysics II
  • In combination with relative permeability
    analysis, allows for estimates of effective
    permeability to each fluid component.
  • Better understanding of vertical changes in
    reservoir quality.
  • Direct comparison with NMR results, and
    categorization of mobile vs. immobile water.

5
Benefits Reservoir Engineering
  • Definition of flow units and barriers within
    hydraulic units.
  • Direct comparison with well test results fluids
    produced, flow capacity.
  • Identifies which intervals to complete, and which
    intervals should be isolated from one another.
  • After calibration in a specific reservoir
    sequence, permits estimates of I.P. before the
    well is completed.
  • Allows for recognition of any depth level with
    respect to location of top transition zone (above
    or below), and hence likely productive
    capabilities.

6
Benefits Exploration
  • For stacked accumulations, free water levels of
    each hydraulic unit can be estimated from a
    single wellbore. When data from multiple wells
    are combined allows for detailed mapping of
    hydrocarbon/water contacts.
  • For an area with sparse well control with
    uncommercial hydrocarbon shows, is a method to
    predict optimum structural position to penetrate
    reservoirs above top hydrocarbon/water transition
    zone.

7
Overview Part 1
8
Overview Part 2
9
Overview Part 3
  • For any one sample, record Pce, H1, H2, Swmc, Swi
    (single number for each)
  • For a group of samples, relate these to porosity
    and permeability
  • Relations change from one reservoir to the next

10
How to run the Model Part 1
  • Generate petrophysical profiles of effective
    porosity and water saturation
  • Estimate depth of zero capillarity
    (hydrocarbon/water contact)
  • Run the model, which will calculate ranges of
    theoretical Sw at each level
  • Compare with petrophysical model and choose
    closest match, level-by-level (rock category)

11
How to run the Model Part 2
  • From rock category and porosity, calculate
    permeability
  • Using normalized relative permeabilities
    (reservoir-specific) calculate fluid effective
    permeabilities
  • Calculate components
  • Capillary-bound water
  • Immobile water in very low permeability rocks
  • Mobile water
  • Hydrocarbons

12
How to run the Model Part 3
  • Choose a series of levels of particular interest
  • Knowing rock quality and porosity, determine for
    each level
  • Permeability
  • Specific reconstructed capillary pressure curve
  • Location of sample on the capillary pressure curve

13
Example 1
  • Pro-Forma
  • Moxa Arch Wyoming, Frontier Sands

14
Example Pro-Forma
Best matches indicated by arrows
15
Example Pro-Forma
A permeability change of 3 orders of magnitude,
even though porosity is the same
16
Example 2
  • LaBarge Area Wyoming, Frontier Sands
  • Taking a more detailed look at the fluid
    components
  • Comparing the results to core data

17
Example LaBarge Area Wyoming, Frontier Sands
Petrophysics only
18
Example Tight Gas Sand
Example LaBarge Area Wyoming, Frontier Sands
Petrophysics and Core Data
19
Example 3
  • Rocky Mountain Cretaceous Gas Sands
  • Comparing the results to NMR data

20
Example Rocky Mountain Cretaceous Gas Sands
Petrophysics only
21
Example Rocky Mountain Cretaceous Gas Sands
Petrophysics and NMR
22
Example 4
  • Oil Reservoir

23
Example Oil Reservoir
Specific capillary pressure modeling points
24
Example Oil Reservoir
1
2
3
Specific capillary pressure modeling points
25
Conclusions
  • Technique is reservoir specific and yields
    detailed categorization of changing rock quality
  • Allows detailed assessment of reservoir quality
    before the well is completed
  • Gives fluid categorization comparable to NMR
    output
  • Allows estimates to be made of effective
    permeability profiles of the separate reservoir
    fluids, which can then be compared with test and
    production data
  • Allows detailed analysis of the reservoir
    level-by-level
  • Within or above transition zone
  • How far above/below the top of the transition
    zone
  • Down dip limits of water-free production
  • Structural elevation gain required for water-free
    production
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