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Integration of Seismic Inversion, Pore
Pressure Prediction, and TOC Prediction in
Preliminary Study of Shale Gas Exploration
Andika Perbawa (1), Bayu Kusuma (1), Sonny Winardhi (2)
PIT HAGI 2012 - 216
(1) Medco E&P Indonesia
(2) Institute of Technology Bandung
Halaman 2Halaman 2
• Introduction
• Basic theory
• Data Availability and Method
• Result
• Conclusions and Recommendations
Outline
Halaman 3Halaman 3
Introduction
“Natural gas that cannot be produced at economic flow rates or in
economic volumes of natural gas unless the well is stimulated by a
large hydraulic fracture treatment, a horizontal wellbore, or by using
multilateral wellbores or some other technique to expose more of the
reservoir to the wellbore”
Halaman 4Halaman 4
What is Shale Gas ?
Source: US Energy Information Administration
1,275 TCF
862 TCF
774 TCF
681 TCF
485 TCF
Halaman 6Halaman 6
Organic rich shale : TOC > 1.0%, HI > 100
Gas type : Free gas and absorb gas
Permeability : Low  need fracture job
Maturation : Mature to over-mature zone window (> 1.3 %Ro)
Thickness : > 75 ft
Kerogen type : Type I and II generates more gas than type III.
Mineralogy : More quartz / less clay, brittle shale / more fracture.
Storage : Fractures and pores
Low recovery efficiency : 8-15%
Performance of production : Depend on natural fractures and artificial fracture
Characteristics
Introduction
Halaman 7
• Rock type, lithology, mineralogy and V-clay estimation
• Kerogen estimation and distribution
• Fracture orientation
• Maturation distribution
• Shale distribution
• TOC distribution
• Reservoir pressure distribution
• Brittleness and ductile distribution
• Porosity distribution
• Permeability distribution
• Depositional setting, direction and isopach of shale distribution
• Gas saturation and composition estimation
• Fluid sensitivity
• Volume calculation
Key Parameter in Shale Gas Exploration
Introduction
Materials covered
Halaman 8Halaman 8
Delineate potential shale gas play using available
data, then recommend a drilling location to acquire a
complete set of new data and to be able to evaluate
shale gas resources more intensively
Objectives
Introduction
Halaman 9Halaman 9
1. Geochemistry
• Total Organic Carbon: TOC
• Maturation : %Ro , Tmax, LOM
• Kerogen type : HI, S2/S3
Data needed to evaluate the potential of shale gas in exploration:
Data Availability
2. Petrophysics and Petrography
• Mineralogy: XRD, SEM
• Permeability
• Fracture evaluation
• Gas content and capacity (absorbed and free)
• Pressure
3. Well Data
• GR, spectral GR, Vp, Vs, Density, Neutron, Resistivity,
Image log, dip meter, PE, ect.
• Core Data
• VSP/checkshot
4. Seismic Data
• 3D pre-stack seismic data
*Red indicates data available for this study
Halaman 10Halaman 10
Workflow
Well Data
(GR, ILD, Sonic, RHOB,
NPHI)
Seismic Data
(PSTM Pre-Stack)
Geochemist Data
(Ro, TOC)
Sweetspot identification and
TOC prediction
Rock Physics
(S-Wave prediction)
Seismic Simultaneous
Inversion
Shale
Distribution
Probable Shale Gas
Potential Zone
Overpressure
Identification
Overpressure
Zone
TOC Distribution
Halaman 12Halaman 12
Regional Tectonic Setting
Location
(After Argakoesoemah, 2005)
(Bishop, 2001)
Tectonostratigraphy
Objective area
Halaman 13Halaman 13
Depositional Environment
Ginger and Fielding, 2005
Upper Talang Akar Fm.Lower Talang Akar Fm.
Objective area Objective area
TOC
Prediction
Method
Simultaneous
Seismic Inversion
Pore Pressure
Prediction
Halaman 15Halaman 15
Passey (1990) Method:
TOC Prediction
Method – Theory (1)
TOC
Prediction
Method
Simultaneous
Seismic Inversion
Pore Pressure
Prediction
Ro transformation to LOM:
Halaman 16Halaman 16
TOC Prediction
Method – Application (1)
Crossover
between DT
(green) and
resistivity
(purple)
indicates
potential zone
-------- DT --------
-------- ILD --------Gamma ray ΔLogR
Pseudo
TOC
Cutoff TOC line (1%)
Target Zone
Pseudo TOC
indicate Upper
Talang Akar Fm.
as potential zone
(TOC ≥ 1%)
TOC original
TOC prediction
Ro ≈ 1.82 %
TD: 7680
Ro ≈ 1.42 %
Top TAF
TOC
Prediction
Method
Simultaneous
Seismic Inversion
Pore Pressure
Prediction
TOC
Prediction
Method
Simultaneous
Seismic Inversion
Pore Pressure
Prediction
Halaman 18Halaman 18
Shear Wave Prediction
Method – Theory (2)
TOC
Prediction
Method
Simultaneous
Seismic Inversion
Pore Pressure
Prediction
Input: Vp, ρ, Vsh, Sw, Ф
𝜶Initial value α=0.01
𝜸 =
𝟏 + 𝟐𝜶
𝟏 + 𝜶
𝝁 𝒅𝒓𝒚 =
𝝁 𝒎(𝟏 − 𝜽)
(𝟏 + 𝜸𝜶𝜽)
𝑲 𝒅𝒓𝒚 =
𝑲 𝒎(𝟏 − 𝜽)
(𝟏 + 𝜶𝜽)
Vsh, 𝝁 𝒄𝒍, 𝝁 𝒒𝒓𝒕𝒛 , 𝑲 𝒄𝒍 , 𝑲 𝒒𝒓𝒕𝒛 , 𝝁 𝒃𝒓, 𝝁 𝒈 , 𝑲 𝒃𝒓 , 𝑲 𝒈 Hashin-Strikman
𝑽 𝒑 (𝜶) =
𝑲 𝒅𝒓𝒚 +
𝟒
𝟑
𝝁 𝒅𝒓𝒚
𝝆
𝑽 𝒑 𝜶 − 𝑽 𝒑 𝒂𝒄𝒕𝒖𝒂𝒍
≈ 𝒎𝒊𝒏𝒊𝒎𝒖𝒎
yes no𝑽 𝒔 =
𝝁 𝒅𝒓𝒚
𝝆
Update 𝜶
Gassman’s
equation
(Modified Lee, 2005)
Halaman 19Halaman 19
Validation
Method – Application (2)
TOC
Prediction
Method
Simultaneous
Seismic Inversion
Pore Pressure
Prediction
Good match
Good match
Velocity actual (ms)
Velocitypredicted(ms)
Apply to
Objective
well data
Method test in the other well that has Vs
Check relationship between prediction and actual data
Halaman 20Halaman 20
Cross plot analysis – Pseudo TOC vs Vp
Method – Application (2)
TOC
Prediction
Method
Simultaneous
Seismic Inversion
Pore Pressure
Prediction
TOC(%)
Vp (ft/s)
Gamma ray (API)
organic shale trend in the upper TAF
shale sand trend
sand trend
Halaman 21Halaman 21
Cross plot analysis – Gamma Ray vs Vp/Vs
Method – Application (2)
TOC
Prediction
Method
Simultaneous
Seismic Inversion
Pore Pressure
Prediction
2.1 Vp/Vs
Gammaray
86
Vp/Vs < 2.1 = Sandy
Vp/Vs > 2.1 = Shaly
Halaman 23
Method – Application (2)
Seismic section
Well X
TELISA MARKER 3
BASEMENT
26 m.a. LOWER TAF
23 m.a.
-base inversion window-
NESW
21 m.a. UPPER TAF
-top inversion window-
NE
SW
1000 ms
2000 ms
3000 ms
Halaman 24
Simultaneous Seismic Inversion Result: Vp
Method – Application (2)
TOC
Prediction
Method
Simultaneous
Seismic Inversion
Pore Pressure
Prediction
Well-X
1000 ms
2000 ms
3000 ms
TOC
Prediction
Method
Simultaneous
Seismic Inversion
Pore Pressure
Prediction
Halaman 26Halaman 26
Pore Pressure Prediction
Method – Theory (3)
(Chilingar et. al., 2002)
(Reynolds., 2002)
Gradient
(psi/ft)
Equivalent mud-weight
(ppg)
Geo-pressure
characteristic
0.465-0.65 8.95 – 12.51 Soft to mild
0.65-0.85 12.51 – 16.36 Mild
> 0.85 > 16.36 Hard
(Dutta, 1987)
TOC
Prediction
Method
Simultaneous
Seismic Inversion
Pore Pressure
Prediction
Halaman 27Halaman 27
Pore Pressure Prediction
Method – Application (3)
TOC
Prediction
Method
Simultaneous
Seismic Inversion
Pore Pressure
Prediction
Pore Pressure Prediction
using velocity data from:
1. DT log/Sonic (purple).
2. Pseudo DT derived from
resistivity (red) using
Faust (1953) equation.
VR=a(Rdeep)c
3. Calibrated velocity
stacking (black).
After all of velocity data are
aligned, apply Eaton’s
equation to calibrated
velocity stack cube
Halaman 28
Potential Shale Gas Area
Result
Potential Area
Halaman 29
• Passey’s method shows a sweet spot interval in Upper Talang Akar Fm.
• The potential shale gas is about 100 feet thick and has more than 1% of TOC
in Upper Talang Akar Fm.
• The Lower Talang Akar Fm. has less potential shale gas.
• The shale distribution covers a whole objective area (Upper Talang Akar Fm.)
• There are several spotty areas that have a medium pressure regime in the
north, west and south-east relative to well- X. Drilling needs to be aware.
• The two interesting potential shale gas areas (TOC ≥ 1%) are located in the
west, trending north-south, and in the east relative to well-X.
• Both locations can be recommended for the next pilot holes in order to
acquire a complete set of new data and to be able to evaluate more
intensively
Conclusions
Halaman 30
• Use actual shear wave data to reduce uncertainty.
• Use TOC data from Core or SWC for accurate depth location.
• Drill a pilot hole in order to acquire a complete set of new data and to be able
to evaluate more intensively.
• Core Data
• SEM
• XRD
• Geochemist analysis (TOC, Ro, HI, Rock eval, etc.)
• Complete well log data (include shear wave data)
• VSP
• Conduct a 3D data with small bin and narrow inline/xline interval. Perform
anisotropic processing and analysis to determine young modulus and bulk
modulus cube for brittleness identification.
• Conduct coherence, variance, dip-azimuth attribute to determine fracture
orientation.
Recommendations
Halaman 31
• Argakoesoemah R.M.I., Raharja M., Winardhi S., Tarigan R., Maksum T.F., Aimar A., 2005, Telisa Shallow
Marine sandstone As An Emerging Exploration Target In Palembang High, South Sumatra
Basin, Proceedings Indonesian Petroleum Association, 30th Annual Convention, Jakarta.
• Bishop, Michele. G., 2001, South Sumatra Basin Province, Indonesia: The Lahat/Talang Akar-Cenozoic
Total Petroleum System. USGS 99-50-S. USA.
• Dutta, N.C., ed, 1987, Geopressure: Society of Exploration Geophysicists Reprint Series 7, 365 p.
• Eaton, Ben A., 1975. The Equation For Geopressure Prediction From Well Logs. SPE 50th Annual Fall
Meeting, Dallas, TX, September 28 – October 1, 1975. SPE paper # 5544, 11 pp.
• Fatti, J. L., P. J. Vail, G. C. Smith, P. J. Strauss, and P. R. Levitt, 1994. Detection of gas in sandstone
reservoirs using AVO analysis: A 3D seismik case history using the Geostack technique. Geophysics, 59,
1362–1376.
• Faust, L. Y., 1953, A velocity function including lithologic variation, Geophysics, 18, 271-288.
• Finnegan, J., 2011, Is Shale Gas a Game Changer in the Global Energy Supply Outlook?, American
Century Investment, In-Fly-72552 1107.
• Ginger, D., K. Fielding, 2005, The Petroleum Systems and Future Potential of the South Sumatra Basin.
IPA05-G-039.
• Holditch, S.A., 2007, Unconventional Gas. NPC Global Oil and Gas Study, Texas.
• Lee. M.W., 2005, A simple method of predicting S-wave velocity. Geophysics 71, 161-164.
• Passey. Q. R., 1990, A Practical Model For Organic Richness from Porosity and Resistivity Logs, AAPG
Bulletin V.74, No.12.
References
Integration of Seismic Inversion, Pore Pressure Prediction, and TOC Prediction in Preliminary Study of Shale Gas Exploration

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Integration of Seismic Inversion, Pore Pressure Prediction, and TOC Prediction in Preliminary Study of Shale Gas Exploration

  • 1. The Energy Company of Choice Integration of Seismic Inversion, Pore Pressure Prediction, and TOC Prediction in Preliminary Study of Shale Gas Exploration Andika Perbawa (1), Bayu Kusuma (1), Sonny Winardhi (2) PIT HAGI 2012 - 216 (1) Medco E&P Indonesia (2) Institute of Technology Bandung
  • 2. Halaman 2Halaman 2 • Introduction • Basic theory • Data Availability and Method • Result • Conclusions and Recommendations Outline
  • 3. Halaman 3Halaman 3 Introduction “Natural gas that cannot be produced at economic flow rates or in economic volumes of natural gas unless the well is stimulated by a large hydraulic fracture treatment, a horizontal wellbore, or by using multilateral wellbores or some other technique to expose more of the reservoir to the wellbore”
  • 4. Halaman 4Halaman 4 What is Shale Gas ? Source: US Energy Information Administration
  • 5. 1,275 TCF 862 TCF 774 TCF 681 TCF 485 TCF
  • 6. Halaman 6Halaman 6 Organic rich shale : TOC > 1.0%, HI > 100 Gas type : Free gas and absorb gas Permeability : Low  need fracture job Maturation : Mature to over-mature zone window (> 1.3 %Ro) Thickness : > 75 ft Kerogen type : Type I and II generates more gas than type III. Mineralogy : More quartz / less clay, brittle shale / more fracture. Storage : Fractures and pores Low recovery efficiency : 8-15% Performance of production : Depend on natural fractures and artificial fracture Characteristics Introduction
  • 7. Halaman 7 • Rock type, lithology, mineralogy and V-clay estimation • Kerogen estimation and distribution • Fracture orientation • Maturation distribution • Shale distribution • TOC distribution • Reservoir pressure distribution • Brittleness and ductile distribution • Porosity distribution • Permeability distribution • Depositional setting, direction and isopach of shale distribution • Gas saturation and composition estimation • Fluid sensitivity • Volume calculation Key Parameter in Shale Gas Exploration Introduction Materials covered
  • 8. Halaman 8Halaman 8 Delineate potential shale gas play using available data, then recommend a drilling location to acquire a complete set of new data and to be able to evaluate shale gas resources more intensively Objectives Introduction
  • 9. Halaman 9Halaman 9 1. Geochemistry • Total Organic Carbon: TOC • Maturation : %Ro , Tmax, LOM • Kerogen type : HI, S2/S3 Data needed to evaluate the potential of shale gas in exploration: Data Availability 2. Petrophysics and Petrography • Mineralogy: XRD, SEM • Permeability • Fracture evaluation • Gas content and capacity (absorbed and free) • Pressure 3. Well Data • GR, spectral GR, Vp, Vs, Density, Neutron, Resistivity, Image log, dip meter, PE, ect. • Core Data • VSP/checkshot 4. Seismic Data • 3D pre-stack seismic data *Red indicates data available for this study
  • 10. Halaman 10Halaman 10 Workflow Well Data (GR, ILD, Sonic, RHOB, NPHI) Seismic Data (PSTM Pre-Stack) Geochemist Data (Ro, TOC) Sweetspot identification and TOC prediction Rock Physics (S-Wave prediction) Seismic Simultaneous Inversion Shale Distribution Probable Shale Gas Potential Zone Overpressure Identification Overpressure Zone TOC Distribution
  • 11. Halaman 12Halaman 12 Regional Tectonic Setting Location (After Argakoesoemah, 2005) (Bishop, 2001) Tectonostratigraphy Objective area
  • 12. Halaman 13Halaman 13 Depositional Environment Ginger and Fielding, 2005 Upper Talang Akar Fm.Lower Talang Akar Fm. Objective area Objective area
  • 14. Halaman 15Halaman 15 Passey (1990) Method: TOC Prediction Method – Theory (1) TOC Prediction Method Simultaneous Seismic Inversion Pore Pressure Prediction Ro transformation to LOM:
  • 15. Halaman 16Halaman 16 TOC Prediction Method – Application (1) Crossover between DT (green) and resistivity (purple) indicates potential zone -------- DT -------- -------- ILD --------Gamma ray ΔLogR Pseudo TOC Cutoff TOC line (1%) Target Zone Pseudo TOC indicate Upper Talang Akar Fm. as potential zone (TOC ≥ 1%) TOC original TOC prediction Ro ≈ 1.82 % TD: 7680 Ro ≈ 1.42 % Top TAF TOC Prediction Method Simultaneous Seismic Inversion Pore Pressure Prediction
  • 17. Halaman 18Halaman 18 Shear Wave Prediction Method – Theory (2) TOC Prediction Method Simultaneous Seismic Inversion Pore Pressure Prediction Input: Vp, ρ, Vsh, Sw, Ф 𝜶Initial value α=0.01 𝜸 = 𝟏 + 𝟐𝜶 𝟏 + 𝜶 𝝁 𝒅𝒓𝒚 = 𝝁 𝒎(𝟏 − 𝜽) (𝟏 + 𝜸𝜶𝜽) 𝑲 𝒅𝒓𝒚 = 𝑲 𝒎(𝟏 − 𝜽) (𝟏 + 𝜶𝜽) Vsh, 𝝁 𝒄𝒍, 𝝁 𝒒𝒓𝒕𝒛 , 𝑲 𝒄𝒍 , 𝑲 𝒒𝒓𝒕𝒛 , 𝝁 𝒃𝒓, 𝝁 𝒈 , 𝑲 𝒃𝒓 , 𝑲 𝒈 Hashin-Strikman 𝑽 𝒑 (𝜶) = 𝑲 𝒅𝒓𝒚 + 𝟒 𝟑 𝝁 𝒅𝒓𝒚 𝝆 𝑽 𝒑 𝜶 − 𝑽 𝒑 𝒂𝒄𝒕𝒖𝒂𝒍 ≈ 𝒎𝒊𝒏𝒊𝒎𝒖𝒎 yes no𝑽 𝒔 = 𝝁 𝒅𝒓𝒚 𝝆 Update 𝜶 Gassman’s equation (Modified Lee, 2005)
  • 18. Halaman 19Halaman 19 Validation Method – Application (2) TOC Prediction Method Simultaneous Seismic Inversion Pore Pressure Prediction Good match Good match Velocity actual (ms) Velocitypredicted(ms) Apply to Objective well data Method test in the other well that has Vs Check relationship between prediction and actual data
  • 19. Halaman 20Halaman 20 Cross plot analysis – Pseudo TOC vs Vp Method – Application (2) TOC Prediction Method Simultaneous Seismic Inversion Pore Pressure Prediction TOC(%) Vp (ft/s) Gamma ray (API) organic shale trend in the upper TAF shale sand trend sand trend
  • 20. Halaman 21Halaman 21 Cross plot analysis – Gamma Ray vs Vp/Vs Method – Application (2) TOC Prediction Method Simultaneous Seismic Inversion Pore Pressure Prediction 2.1 Vp/Vs Gammaray 86 Vp/Vs < 2.1 = Sandy Vp/Vs > 2.1 = Shaly
  • 21. Halaman 23 Method – Application (2) Seismic section Well X TELISA MARKER 3 BASEMENT 26 m.a. LOWER TAF 23 m.a. -base inversion window- NESW 21 m.a. UPPER TAF -top inversion window- NE SW 1000 ms 2000 ms 3000 ms
  • 22. Halaman 24 Simultaneous Seismic Inversion Result: Vp Method – Application (2) TOC Prediction Method Simultaneous Seismic Inversion Pore Pressure Prediction Well-X 1000 ms 2000 ms 3000 ms
  • 24. Halaman 26Halaman 26 Pore Pressure Prediction Method – Theory (3) (Chilingar et. al., 2002) (Reynolds., 2002) Gradient (psi/ft) Equivalent mud-weight (ppg) Geo-pressure characteristic 0.465-0.65 8.95 – 12.51 Soft to mild 0.65-0.85 12.51 – 16.36 Mild > 0.85 > 16.36 Hard (Dutta, 1987) TOC Prediction Method Simultaneous Seismic Inversion Pore Pressure Prediction
  • 25. Halaman 27Halaman 27 Pore Pressure Prediction Method – Application (3) TOC Prediction Method Simultaneous Seismic Inversion Pore Pressure Prediction Pore Pressure Prediction using velocity data from: 1. DT log/Sonic (purple). 2. Pseudo DT derived from resistivity (red) using Faust (1953) equation. VR=a(Rdeep)c 3. Calibrated velocity stacking (black). After all of velocity data are aligned, apply Eaton’s equation to calibrated velocity stack cube
  • 26. Halaman 28 Potential Shale Gas Area Result Potential Area
  • 27. Halaman 29 • Passey’s method shows a sweet spot interval in Upper Talang Akar Fm. • The potential shale gas is about 100 feet thick and has more than 1% of TOC in Upper Talang Akar Fm. • The Lower Talang Akar Fm. has less potential shale gas. • The shale distribution covers a whole objective area (Upper Talang Akar Fm.) • There are several spotty areas that have a medium pressure regime in the north, west and south-east relative to well- X. Drilling needs to be aware. • The two interesting potential shale gas areas (TOC ≥ 1%) are located in the west, trending north-south, and in the east relative to well-X. • Both locations can be recommended for the next pilot holes in order to acquire a complete set of new data and to be able to evaluate more intensively Conclusions
  • 28. Halaman 30 • Use actual shear wave data to reduce uncertainty. • Use TOC data from Core or SWC for accurate depth location. • Drill a pilot hole in order to acquire a complete set of new data and to be able to evaluate more intensively. • Core Data • SEM • XRD • Geochemist analysis (TOC, Ro, HI, Rock eval, etc.) • Complete well log data (include shear wave data) • VSP • Conduct a 3D data with small bin and narrow inline/xline interval. Perform anisotropic processing and analysis to determine young modulus and bulk modulus cube for brittleness identification. • Conduct coherence, variance, dip-azimuth attribute to determine fracture orientation. Recommendations
  • 29. Halaman 31 • Argakoesoemah R.M.I., Raharja M., Winardhi S., Tarigan R., Maksum T.F., Aimar A., 2005, Telisa Shallow Marine sandstone As An Emerging Exploration Target In Palembang High, South Sumatra Basin, Proceedings Indonesian Petroleum Association, 30th Annual Convention, Jakarta. • Bishop, Michele. G., 2001, South Sumatra Basin Province, Indonesia: The Lahat/Talang Akar-Cenozoic Total Petroleum System. USGS 99-50-S. USA. • Dutta, N.C., ed, 1987, Geopressure: Society of Exploration Geophysicists Reprint Series 7, 365 p. • Eaton, Ben A., 1975. The Equation For Geopressure Prediction From Well Logs. SPE 50th Annual Fall Meeting, Dallas, TX, September 28 – October 1, 1975. SPE paper # 5544, 11 pp. • Fatti, J. L., P. J. Vail, G. C. Smith, P. J. Strauss, and P. R. Levitt, 1994. Detection of gas in sandstone reservoirs using AVO analysis: A 3D seismik case history using the Geostack technique. Geophysics, 59, 1362–1376. • Faust, L. Y., 1953, A velocity function including lithologic variation, Geophysics, 18, 271-288. • Finnegan, J., 2011, Is Shale Gas a Game Changer in the Global Energy Supply Outlook?, American Century Investment, In-Fly-72552 1107. • Ginger, D., K. Fielding, 2005, The Petroleum Systems and Future Potential of the South Sumatra Basin. IPA05-G-039. • Holditch, S.A., 2007, Unconventional Gas. NPC Global Oil and Gas Study, Texas. • Lee. M.W., 2005, A simple method of predicting S-wave velocity. Geophysics 71, 161-164. • Passey. Q. R., 1990, A Practical Model For Organic Richness from Porosity and Resistivity Logs, AAPG Bulletin V.74, No.12. References

Notas del editor

  1. I’ve divided my presentation into 5 parts ;
  2. Fossil fuel is finite energy. The common conventional oil and gas that we use every day are fossil fuels, which are located in the subsurface reservoir having good porosity and permeability. But, because of high demand and the limited amount of available conventional oil and gas, reserves are getting low. It is essential to find other resources as additional fossil fuel stock for the near future. One solution is to expand oil and gas exploration to include unconventional resources, such as shale gas, shale oil, basement fracture, heavy oil, tight gas and CBM.
  3. Shale gas resource is located in the gas-rich shale zone. Horizontal drilling is common in shale gas exploration and exploitation because the shale has to be fractured in several stages due to low permeability.
  4. This is the chart from American century investment Shale gas play rapidly develop in USA since 1990 (Summer, 2008). In 2008, production of shale gas reach 5000 MMCFD (Navigant, 2008)
  5.   1: SlogR = log (RESD / RESDbase) + 0.02 * (DTC – DTCbase)       2: DlogR = log (RESD / RESDbase) -- 2.5 * (DENS – DENSbase)       3: NlogR = log (RESD / RESDbase) + 4.0 * (PHIN – PHINbase)       4: TOCs = SF1s * (SlogR * 10^(0.297 – 0.1688 * LOM)) + SO1s       5: TOCd = SF1d * (DlogR * 10^(0.297 – 0.1688 * LOM)) + SO1d       6: TOCn = SF1n * (NlogR * 10^(0.297 – 0.1688 * LOM)) + SO1n
  6. A=1320 C=1/6