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The results of a study on the effect of coal rank and pressure on the dynamic elastic properties and AVO response of coal samples from Muara Enim, South Sumatra Basin, Indonesia. The study reveals that coal velocities increase as coal rank and overburden pressure increase, while velocities decrease as pore pressure increases. The AVO intercepts and gradients also increase with increasing pore pressure. The document also discusses the use of AVO as an aid for pressure delineation in CBM reservoirs.
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(1) (^) Upstream Technology Center, PT. Pertamina (Persero), Indonesia (yuda.yushendri@pertamina.com), (2) (^) Institut
Teknologi Bandung, Indonesia.
ABSTRACT
We have collected some coal samples in different ranks from Muara Enim, South Sumatra Basin, Indonesia. Laboratory ultrasonic velocity measurements of gas and brine saturated coals samples in different rank present that dynamic elastic properties of coal depend on coal rank, overburden pressure and pore pressure. In this paper, we investigate the relationships between coal rank and pressure with dynamic elastic properties of coals. We also present the effect of various coal rank and pore pressure to the AVO response. Coal elastic properties are strongly affected by pressure. Coal velocities increases as overburden pressure increases, while velocities decreases as pore pressure increases. The increasing of pore pressure reflects in the increasing of AVO intercepts and gradients, while the increasing of coal rank tends to decrease AVO intercept and gradients. We determine the sensitivity of elastic properties to variations of pore fluid for all coal samples. P- impedance, S-impedance, and MuRho are good fluid discriminator for lignite, bituminuous and anthracite coal samples whileas they can be used as facies discriminator for all coal samples. Another Lamé parameter, LambdaRho, is only sensitive to discriminate fluid in lignite and bituminuous coal samples. Poisson’s Ratio and V P/ V S Ratio are only capable to separate the pore fluid in lignite coal sample. The AVO modeling example offered in this paper shows that AVO may be used as an aid for pressure delineation in the CBM reservoirs, to delineate the area with high fracture density or high pore pressure.
KEY WORDS: CBM, elastic properties, coal rank, pressure, AVO response, South Sumatera Basin
Coal is a carbonaceous rock formed from the remains of plants that lived and died million years ago by diagenesis process. The chemical and physical structure of coal changes as the pressure and temperature increases through time. The coal rank is depend on the degree of maturation during the coal diagenesis. The coal rank are classified into lignite, sub-bituminous, bituminous, semianthracite, and anthracite; the latter has the highest rank than the
former. During the rock formation, methane gas are generated from organic matter and stored within the coal. In recent decades, methane stored in coal beds has become an important source of energy in some countries, with a great potential for future development. Previous authors have conducted study of elastic properties of coal. Yu et al. (1993) presented the increasing of acoustic velocities in dry and water saturated coal samples as confining pressure increased from 2 to 40 MPa. Yao and Han (2008) analized the effects of pressure, temperature, and saturation on ultrasonic velocities in coal samples. Morcote et al. (2010) observed ultrasonic velocities increases as the confining pressure increased from 0 to 40 MPa. Dry bulk and dry shear moduli increase with increasing coal rank whereas the V P/ V S ratio^ decreases^ with increasing coal rank. Dirgantara et al. (2011) have measured seven coal samples and reported that compressional and shear wave velocities increase as coal rank increases. AVO is a tool to detect the presence of hydrocarbon for gas-sand reservoir. The Poisson’s ratio contrast at shale/sand interface will cause the variation of amplitude with offset. Poisson’s ratio contrast at a shale/gas-sands interface is caused by gas saturation, while in the coal seam it caused by the density increase of the cleats and fractures (Gregory, 1976). Thus, AVO is not a direct method to detect the presence of CBM in coal seams. However, AVO still can be used in CBM reservoir characterization to delineate methane rich sweet spots within coal seams (Peng, et. al., 2006). This paper presents the rock physics analysis of coal samples from Muara Enim, Indonesia, with different coal ranks, to study the effect of pore pressure, overburden pressure and fluid saturation in seismic elastic properties and AVO responses.
METHODOLOGY
Seismic rock physics measurement of coal core samples were done in the laboratory. There are four different coal samples measured in different coal rank as summarized in Table 1. The samples were collected from surface outcrop. The objective of this physical modeling is to find the relationship between seismic elastic properties and the reservoir parameters.
Table 1. Summary of the core samples of coal used in this study.
Sample Lithology Density (g/cc) Porosity (%)
ME-32 Lignite 0.99 13. K-13 Bituminous 1.19 10. SM-ANT Semi-anthracite 1.31 5. ANT Anthracite 1.37 6.
Ultrasonic Velocity Measurement
The P-wave ( V P) and S-wave ( V S) velocities were measured in various overburden pressure, pore pressure, and temperature under gas (methane) saturated and brine saturated condition. The overburden pressure varied from 1-5.5 MPa and the pore pressure range from 0.5 - 4.3 MPa. Velocities were obtained by picking the first signal arrival time. The V P value was picked from the first signal arrival, and V S value was picked from the first positive peak of the shear signal. Another elastic parameters are derived by combining the velocity and density change such as Acoustic Impedance ( AI ), Shear Impedance ( SI ), Lambda, Mu, LambdaRho ( LR ), MuRho ( MR ), Poisson’s Ratio ( PR ) and V P/ V S Ratio. The elastic parameters are crossplotted each other to evaluate the saturation effect on the elastic properties and to find the potential seismic method for CBM reservoir characterization in Muara Enim.
AVO Modeling
AVO modeling for the coals samples in various pore pressure was performed using bituminuous coal sample. The objective of AVO modeling is to analize the effect of pore pressure and fluid saturation to the AVO response. In addition, AVO modeling was performed for all coal samples in the same reservoir condition (pore pressure and overburden pressure).
RESULTS
Pressure Effect
We observed that V P and V S increases with the increasing overburden pressure. Overburden pressure affect the change of velocities both for gas saturated and brine satureted samples. Figure 1 shows the effect of overburden pressure on velocities. Pressure dependence of velocities on overburden pressure is greater at pressures below 5 MPa. At higher pressures (above 5 MPa), velocities increase slightly. Figure 2 shows the effect of pore pressure on velocities. In contrast with overburden effect, increasing pore pressure tends to decrease velocities both for gas saturated and brine satureted samples.
The coal samples used in this experiment are, in increasing order of rank, bituminous, semianthracite, and anthracite. From measured data, we observed that V P and V S increase as coal rank increases (Figure 1 and Figure 2). Lignite coal has the lowest velocities compared to bituminuous, semi-anthracite and anthracite coal. Anthracite coal, which has the highest coal rank, exhibits the highest velocities among the other coal samples. Lignite coal and bituminuous coal velocities difference is relatively small. Figure 1 and Figure 2 plots that lignite coal and bituminuous coal velocities can be characterized in a cluster due to small velocity differences. In addition, semianthracite and anthracite velocities exhibits the same behaviour, the velocities difference of both coal rank is relatively small. Thus, their velocities can also be characterized in a cluster. Overall, the velocities increase as coal rank increases.
Figure 1. Variations of compressional (solid lines) and shear (dashed lines) wave velocities with overburden pressure for different coal ranks under brine saturated (blue) and gas saturated (red). Note that velocities increases as the coal rank increases.
Figure 2. Variations of compressional (solid lines) and shear (dashed lines) wave velocities with pore pressure for different coal ranks under brine saturated (blue) and
Saturation Effect
In order to determine the sensitivity of elastic properties to variations of pore fluid for all coal samples, we applied the cross-plot analysis of elastic parameters derived from the ultrasonic velocity measurements. Figure 6 – Figure 11 shows the cross- plot analysis of all elastic parameters for all coal samples with different coal rank, under brine and gas saturation. As described earlier, V P and V S increase as coal rank increases (Figure 6). We observed that P- impedance, S-impedance, and MuRho are good fluid discriminator for lignite, bituminuous and anthracite coal samples (Figure 7 and Figure 9). Another Lamé parameter, LambdaRho, is only sensitive to discriminate fluid in lignite and bituminuous coal samples (Figure 9). Poisson’s Ratio and V P/ V S Ratio are only capable to separate the pore fluid in lignite coal sample (Figure 10 and Figure 11). In addition, P- impedance, S-impedance, and MuRho provide the clear differentiation of coal facies and can be used for as facies discriminator (Figure 7 and Figure 9).
Figure 7. Cross-plot of P-impedance and S-impedance of brine saturated and gas saturated coal samples. P- impedance, S-impedance are good fluid discriminator for lignite, bituminuous and anthracite coal samples.
CONCLUSIONS
Coal ranks has a strong influence on dynamic elastic properties of coal. The ultrasonic measurement of coal samples in different coal ranks from Muara Enim, South Sumatra Basin, reveals that velocities increase as coal rank increases. AVO intercept and gradient decreases as the coal rank increases. Coal elastic properties are affected by pressure. Coal velocities increases as overburden pressure increases, while velocities decreases as pore pressure increases. The increasing of pore pressure reflects in
the increasing of AVO intercepts and gradients. Furthermore, AVO may be used as an aid for pressure delineation in the CBM reservoirs, to delineate the area with high cleat/fracture density or high pore pressure. P-impedance, S-impedance, and MuRho are good fluid discriminator for lignite, bituminuous and anthracite coal samples whileas they can be used as facies discriminator for all coal samples. Another Lamé parameter, LambdaRho, is only sensitive to discriminate fluid in lignite and bituminuous coal samples. Poisson’s Ratio and V P/ V S Ratio are only capable to separate the pore fluid in lignite coal sample.
Figure 8. Cross-plot of Lambda and Mu of brine saturated and gas saturated coal samples.
Figure 9. Cross-plot of LambdaRho and MuRho of brine saturated and gas saturated coal samples. MuRho is good fluid discriminator for lignite, bituminuous and anthracite coal samples, as well as good facies discriminator for all coal samples.
Figure 10. Cross-plot of P-impedance and Poisson’s Ratio of brine saturated and gas saturated coal samples. Poisson’s Ratio is only capable to separate the pore fluid in lignite coal sample.
Figure 11. Cross-plot of P-impedance and V P/ V S Ratio of brine saturated and gas saturated coal samples. V P/ V S Ratio is only capable to separate the pore fluid in lignite coal sample.
We realize that our research is performed using coal samples from surface outcrop. Thus, we plan to extend our laboratory work using core samples obtained from well bore. Data integration of other data such as well log and seismic data is needed to delineate “sweet spots” within the coal seams for CBM reservoir characterization in Muara Enim area.
The work leading to this paper was the part of collaborative research between Pertamina and Bandung Institut of Technology (ITB) for non renewable energy exploration. The author gratefully acknowledge the assistance of PT. Bukit Asam Muara Enim Tambang Airlaya and Rock Fluid Imaging to support us the coal core samples for this study.
REFERENCES
Dirgantara, F.,M. L. Batzle, and J. B. Curtis, 2011, Maturity characterization and ultrasonic velocities of coals: 81st Annual International Meeting, SEG, Expanded Abstracts, 30 , no. 1, 2308–2312. Gregory, A. G., 1976, Fluid saturation effect on dynamic elastic properties of sedimentary rocks, Geophysics , 41 , 895–921. Morcote, A., Mavko, G., and Prasad, M., 2010, Dynamic elastic properties of coal, Geophysics , 75 , E227-E234. Peng, S., Chen, H., Yang, R., Gao, Y., and Chen, X., 2006, Factors facilitating or limiting the use of AVO for coal-bed methane, Geophysics , 71 , C49- C56. Yao, Q., and D. Han, 2008, Acoustic properties of coal from lab measurement: 78th Annual International Meeting, SEG, Expanded Abstracts, 27, 1815–
Yu, G., K. Vozoff, and D. W. Durney, 1993, The influence of confining pressure and water saturation on dynamic elastic properties of some Permian coals, Geophysics , 58 , 30–38.