Title: Capillary Pressure Properties of Hydrocarbon Reservoir Sequences
1Title
Capillary Pressure Properties of Hydrocarbon
Reservoir Sequences Combining Core Data with
Petrophysics
Digital Formation, Inc. November 2003
2Contents
- 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
3Benefits 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.
4Benefits 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.
5Benefits 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.
6Benefits 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.
7Overview Part 1
8Overview Part 2
9Overview 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
10How 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)
11How 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
12How 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
13Example 1
- Pro-Forma
- Moxa Arch Wyoming, Frontier Sands
14Example Pro-Forma
Best matches indicated by arrows
15Example Pro-Forma
A permeability change of 3 orders of magnitude,
even though porosity is the same
16Example 2
- LaBarge Area Wyoming, Frontier Sands
- Taking a more detailed look at the fluid
components - Comparing the results to core data
17Example LaBarge Area Wyoming, Frontier Sands
Petrophysics only
18Example Tight Gas Sand
Example LaBarge Area Wyoming, Frontier Sands
Petrophysics and Core Data
19Example 3
- Rocky Mountain Cretaceous Gas Sands
- Comparing the results to NMR data
20Example Rocky Mountain Cretaceous Gas Sands
Petrophysics only
21Example Rocky Mountain Cretaceous Gas Sands
Petrophysics and NMR
22Example 4
23Example Oil Reservoir
Specific capillary pressure modeling points
24Example Oil Reservoir
1
2
3
Specific capillary pressure modeling points
25Conclusions
- 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