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GeoSymphony
Shale gas reservoir characterization
Bagus Endar Bachtiar Nurhandoko
ROCK FLUID IMAGING LAB.
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CONTENTS
Shale gas reservoir system Lesson learned from US Character of Shale Gas Target characterization Role of Rock Physics in shale gas prediction Predicting pressure Total organic content and seismic wave Gas maturity Fracture prediction Rigidity of shale Conclusions References
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Shale gas
Shale gas is natural gas produced from shale
Shale gas areas are often known as resource plays (as opposed to exploration plays). (Jarvie, 2008)
(U.S. Energy Information Administration (EIA), 2011)
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Illustration of shale gas compared to other types of gas deposits
(U.S. Energy Information Administration (EIA), 2011)
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Shale Resource System: a self contained petroleum system
Around 60% of hydrocarbons expelled into conventional reservoirs
S
SEAL
RESERVOIR SOURCE
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Lesson learned from US
(U.S. Energy Information Administration (EIA), 2011)
This fact shows significant production of unconventional gas in US. Therefore, Indonesia has to start in exploring unconventional gas
Unconventional gas produced in US compared by total gas produced in US
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Character of shale gas reservoir
Shale gas are rich in organic material (0.5% to 25%) and are usually mature petroleum source rocks in the thermogenic gas window, where high heat and pressure have converted petroleum to natural gas. [US DOE, 2009]
Shale gas reservoir are sufficiently brittle and rigid enough to maintain open fractures.
Shale gas is low permeable (especially the primary porosity)
In some areas, shale intervals with high natural gamma radiation are the most productive, as high gamma radiation is often correlated with high organic carbon content
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Shale matrix under SEM
Courtesy Rock Fluid Imaging Lab.
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Porosity vs Permeability of Gas shale reservoir
Permeability in mikro Darcy scale !
(Metwally and Chesnokov, 2011)
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Target of characterization
Target of characterization : 1. Total organic content. Is elastic wave parameter influenced by total
organic content ? 2. Is petroleum source rocks in the thermogenic gas window ?
Heat of shale Pressure (pore pressure and overburden pressure)
3. Fractured zone (shale gas reservoir are sufficiently brittle) 4. Rigidity of shale . Is shale reservoir enough to maintain open
fractures ? 5. High natural gamma radiation are the most productive zone, as high
gamma radiation is often correlated with high organic carbon content
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Role of Seismic Rock Physics in reservoir characterization
Rock physics relates between Seismic
wave parameter (i.e Velocity, amplitude,
etc.) and Reservoir parameter (i.e:
porosity, clay content, fluid content,
lithology etc.)
ROCK PHYSICS
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Structure of rock
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Target of characterization
Target of characterization : 1. Total organic content. Is elastic wave parameter influenced by total
organic content ? 2. Is petroleum source rocks in the thermogenic gas window ?
Heat of shale Pressure (pore pressure and overburden pressure)
3. Fractured zone (shale gas reservoir are sufficiently brittle) 4. Rigidity of shale . Is shale reservoir enough to maintain open
fractures ? 5. High natural gamma radiation are the most productive zone, as high
gamma radiation is often correlated with high organic carbon content
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Could we measure Total organic content of Shale Gas using Seismic wave ?
Clay rich sample Silica rich sample
Hi TOC correlates with Low Impedance
Zhu et. al., 2011
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TOC and AVO parameters
Hi TOC tends to the left side of quadrant
Clay rich
Zhu et. al., 2011
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Seismic Rock Physics Measurement
Courtesy Rock Fluid Imaging Lab.
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Overburden pressure effect (under gas saturation)
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Target of characterization
Target of characterization : 1. Total organic content. Is elastic wave parameter influenced by total
organic content ? 2. Is petroleum source rocks in the thermogenic gas window ?
Heat of shale Pressure (pore pressure and overburden pressure)
3. Fractured zone (shale gas reservoir are sufficiently brittle) 4. Rigidity of shale . Is shale reservoir enough to maintain open
fractures ? 5. High natural gamma radiation are the most productive zone, as high
gamma radiation is often correlated with high organic carbon content
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Quantify source rock maturity and hydrocarbons in place
Petroleum systems modeling assesses exploration risk before drilling, combining your seismic information, well data, and geological knowledge to help you understand the evolution of a sedimentary basin.
Petroleum system modeling sheds light on the source and timing of hydrocarbon generation, migration routes, gas in place, maturation, and hydrocarbon type.
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Predicting heat of shale
Temperature gradient:
Magnetic : combining Magnetic data, Geochemistry, seismic can result better prediction of shale gas generation
Combining geochemistry and temperature -pressure
(From Clayton, 1991)
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Predicting Pressure
Overburden pressure history Seismic data -> Burial history Density of shale
Pore Pressure Data input:
seismic prestack, velocity,core-sample Rock Physics analysis Mud log Well log data
Processing: Facies analysis Velocity refinement Statistical-Neural-Network
Pressure history
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Overburden pressure effect (under gas saturation)
Courtesy Rock Fluid Imaging Lab.
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Pore pressure effect (under gas saturation)
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Influence of pore pressure to Seismic wave : some examples
Nurhandoko et. al, 2007
P wave decrease !
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Target of characterization
Target of characterization : 1. Total organic content. Is elastic wave parameter influenced by total
organic content ? 2. Is petroleum source rocks in the thermogenic gas window ?
Heat of shale Pressure (pore pressure and overburden pressure)
3. Fractured zone (shale gas reservoir are sufficiently brittle) 4. Rigidity of shale . Is shale reservoir enough to maintain open
fractures ? 5. High natural gamma radiation are the most productive zone, as high
gamma radiation is often correlated with high organic carbon content
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Fracture characterization
Methodology: AVOA (AVO in various azimuth) -> suitable for HTI
fracture ----- very expensive
Fracture modules: Coherency, Maximum Curvature,
AI, Lambda-Mu-Rho which are combined together by fracture parameter from well (Core, Resistivity Scanning) using statistical artificial neural network
VTI
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Fracture/slate orientation and seismic wave
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Fracture prediction using Join Rock Physics and Statistical Neural Network
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Combining Rock Mechanic and Fault to generate Fracture Induced fault map
Rock Mechanic measurement
Fracture induced fault Nurhandoko et.al, 2012
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Target of characterization
Target of characterization : 1. Total organic content. Is elastic wave parameter influenced by total
organic content ? 2. Is petroleum source rocks in the thermogenic gas window ?
Heat of shale Pressure (pore pressure and overburden pressure)
3. Fractured zone (shale gas reservoir are sufficiently brittle) 4. Rigidity of shale . Is shale reservoir enough to maintain open
fractures ? 5. High natural gamma radiation are the most productive zone, as high
gamma radiation is often correlated with high organic carbon content
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Predicting rigidity of shale
Data input: Rigid shale (dry) Soft shale (wet) Rock physics measurement
Attributes: AI, Mu, Rho, Lambdac, Poisson, etc. But Mu (Shear Modulus) is solely influenced by matrix
We can combine whole above data for predicting accurately the rigidity of shale using Join statistical Rock Physics and statistical Neural Network
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References
US Department of Energy, 2009, "Modern shale gas development in the United States", p.17.
_________, U.S. Energy Information Administration (EIA), 2011, Review of Emerging Resources: U.S. Shale Gas and Shale Oil Plays, http://www.eia.gov/analysis/studies/usshalegas/index.cfm#9, released 8 July 2011
Jarvie, D., 2008, Unconventional Shale Resource Plays:Shale-Gas and Shale-Oil Opportunities, NAPE Forum.
Nurhandoko, B. E. B., Susilowati2, Budi, M. L., Siahaan, Ishaq, U. M., Abdillah, W. E., Kusudiharjo, K., Rudiyanto, H., Wiyanto, Y., Sulistyanto, B., 2011, Study Of Seismic Parameter And Avo Responses Of Coal Bed Methane Reservoir Using Rock Physics Physical Modeling, Proceeding HAGI-IAGI Joint Conference.
________, Cokronegoro, R., ikmah, A., Nashruddin, M., Supriyanto, E.B.,2007, Pore pressure effect on seismic wave and AVO parameter, Indonesian Journal of Physics.
________, Ishaq, U.M., 2007, Rock Physics of Anisotrophy and Fracture, IPA
Yu, Z., Liu, e., Martinez, A., Payne, M., Haris, C., 2011, Understanding Geophysical Responses of Shale Gas, The Leading Edge
Metwally, Y., and Chesnokov, E., 2011, Gas shale; relationships between permeability and intrinsic composition, Ext. Abstract SEG 2011 San Antonio.
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CONCLUSIONS
Strategy of gas shale characterization is following:
Total organic content. Elastic wave parameter can be as a tool for TOC prediction.
Is petroleum source rocks in the thermogenic gas window ?.
Basin modeling by combining geochemistry, seismic, magnetic can be as solution.
Pressure (pore pressure and overburden pressure), anomaly of pressure may be caused by fractured shale
Fractured zone prediction (shale gas reservoir are sufficiently brittle) can be identified by some methods
Prediction the rigidity of shale. Shale reservoir should enough to maintain open fractures, combining geophysics, rock physics and lithology can be as solution for solving this prediction.
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Thank you