Page 341 - Fundamentals of Gas Shale Reservoirs

REFERENCES 321
TAbLE 14.15 Opportunities for increasing the ERR/TRR ratio

Barnett Shale Eagle Ford gas window Marcellus Haynesville
ERR/TRR, F&DC, Gas price, F&DC, Gas price, F&DC, Gas price, F&DC, Gas price,
% MMUS$/well US$/Mcf MMUS$/well US$/Mcf MMUS$/well US$/Mcf MMUS$/well US$/Mcf
75 1 3.1 6 6.5 3 4.0 6 4.7
2 5.1 7 7.2 4 5.0 7 5.4
3 7.1 8 8.3 5 6.0 8 6.1
4 9.0 9 9.0 6 7.0 9 7.0
5 10.5 10 10.0 7 8.3 10 7.5
6 12.0 11 10.6 8 9.8 11 8.2
7 16.0 12 11.0 9 10.5 12 9.0
50 1 2.8 6 5.2 3 2.8 6 3.5
2 4.0 7 6.0 4 3.4 7 4.0
3 5.1 8 7.0 5 4.0 8 4.6
4 7.0 9 7.2 6 5.0 9 5.0
5 8.0 10 8.0 7 6.0 10 5.6
6 9.8 11 9.0 8 6.4 11 6.0
7 10.5 12 8.0 9 7.0 12 6.8
25 1 2.1 6 4.2 3 1.8 6 2.8
2 3.1 7 5.0 4 2.1 7 3.0
3 4.1 8 5.5 5 2.8 8 3.4
4 5.0 9 6.0 6 3.0 9 3.9
5 6.0 10 6.2 7 3.8 10 4.1
6 7.0 11 7.0 8 4.0 11 4.7
7 8.0 12 7.5 9 4.4 12 5.0

NOMENCLATURE REFERENCES

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t
InvGauss (μ, λ) Inverse Gaussian distribution with DR. Haynesville Shale Development Program—From Vertical
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k Matrix permeability, md American Unconventional Gas Conference and Exhibition;
m
k Fracture permeability, md January 1, 2011; Woodlands, TX; 2011.
f
L Characteristic length of a matrix block Almadani HS. A methodology to determine both the technically
Logistic (α, β) Logistic distribution with location recoverable resource and the economically recoverable resource in
parameter α and scale parameter β. an unconventional gas play [MS Thesis]. Texas A&M University,
Loglogistic (γ, β, α) Log‐logistic distribution with loca- College Station, TX; 2010.
tion parameter γ, scale parameter β, Berman A. The Haynesville Shale Sizzles with the Barnett Cools.
and shape parameter α. World Oil Mag 2008;229 (9):18–22.
n Number of flow dimensions, Billa RJ, Mota JF, Schneider B. et al. Drilling Performance
dimen sionless Improvement in the Haynesville Shale Play. Paper SPE 139842‐
Pearson5 (α, β) Pearson type V (or inverse gamma) MS presented at SPE/IADC Drilling Conference and Exhibition;
March 1, 2011; Amsterdam, the Netherlands; 2011.
distribution with shape parameter α
and scale parameter β. Bruner KR, Smosna R. A Comparative Study of the Mississippian
P90 Value for which there is at least a 90% Barnett Shale, Fort Worth Basin, and Devonian Marcellus
Shale, Appalachian Basin. U.S. Department of Energy:
probability that the value will equal or Washington, DC; 2010.
exceed the estimate, indicated by the Cheng Y, Wang Y, McVay DA, et al. Practical application of a prob-
90th percentile on a cumulative prob- abilistic approach to estimate reserves using production decline
ability distribution plot. Similarly for data. SPE Econ Manage 2010;2 (1):19–31.
P50 and P10. Chong KK, Grieser WV, Passman A. et al. A Completions
r Wellbore radius Guide Book to Shale‐Play Development: A Review of
w
φ Wellbore raporosity Successful Approaches Towards Shale‐Play Stimulation in
ω Storativity ratio, dimensionless the Last Two Decades. Paper SPE‐133874‐MS presented at