Thickness prediction of tectonically deformed coal using calibrated seismic attributes: A case study

Tongjun Chen; Xin Wang

doi:10.1071/ASEG2016ab116

25th International Conference and Exhibition – Interpreting the Past, Discovering the Future

ISSN: 2202-0586
E-ISSN:

oa Thickness prediction of tectonically deformed coal using calibrated seismic attributes: A case study
Authors Tongjun Chen^a,b and Xin Wang^c
View Affiliations Hide Affiliations

^a China University of Mining and Technology ^b Key Laboratory of Coalbed Methane Resource & Reservoir Formation Process, Ministry of Education (CUMT) School of Resource and Earth Science, CUMT, 1 University Road, Xuzhou, City, Jiangsu, Province, China, [email protected] ^c China University of Mining and TechnologySchool of Computer Science and Technology, CUMT, 1 University Road, Xuzhou, City, Jiangsu, Province, China, [email protected]
Publisher: Australian Society of Exploration Geophysicists
Source: ASEG Extended Abstracts, Volume 2016, Issue 25th International Conference and Exhibition – Interpreting the Past, Discovering the Future, Dec 2016, p. 1 - 5
DOI: https://doi.org/10.1071/ASEG2016ab116
- Published online: 01 Dec 2016

Abstract

Tectonically deformed coal is a key factor affecting the phenomena of gas outbursts in coal mines. Seismic attributes associated with coal-bed reflections can represent this kind of coal, but the representation is indirect and ambiguous since both coal-bed thickness and lithology can affect the attributes. We propose a model-based function to calibrate seismic attributes from thin coal-bed reflections, and use the calibrated attributes to estimate the distribution of tectonically deformed coal. To eliminate the influence of coal-bed thickness on seismic attributes, we first build a synthetic model to simulate true geological condition of the coal bed. Then, we extract seismic attributes from the synthetic section and cross plotted the correlations between attributes and thickness. After the fitting of cross-plotted correlations with a Fourier series, we estimate the calibration functions of the attributes. Finally, true attributes of a mining zone are calibrated with those functions. The results presented here show much more observable correlation with the thickness of tectonically deformed coal than uncalibrated attributes.

Article metrics loading...

/content/journals/10.1071/ASEG2016ab116

2016-12-01

2026-01-20

From This Site

/content/journals/10.1071/ASEG2016ab116

dcterms_title,dcterms_subject,pub_keyword

-contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution

10

5

Full text loading...

References

Cao, Y.X., Davis, A., Liu, R.X., Liu, X.W. and Zhang, Y.G., 2003, The influence of tectonic deformation on some geochemical properties of coals - a possible indicator of outburst potential: International Journal of Coal Geology, 53(2), 69-79.
Cao, Y.X., He, D.D. and Glick, D.C., 2001, Coal and gas outbursts in footwalls of reverse faults: International Journal of Coal Geology, 48(1-2), 47-63.
Chen, T.-J., Wang, X. and Guan, Y.-W., 2015, Quantitative prediction of tectonic coal seam thickness using support vector regression and seismic attributes: Meitan Xuebao/Journal of the China Coal Society, 40(5), 1103-1108.
Hart, B.S., 2008, Channel detection in 3-D seismic data using sweetness: AAPG bulletin, 92(6), 733-742.
Lu, J., Wang, Y. and Shi, Y., 2011, Coal hardness prediction using joint inversion of multi-wave seismic data and logging: Chinese Journal of Geophysics, 54(11), 2967-72.
Lv, Y., Tang, D., Xu, H. and Luo, H., 2012, Production characteristics and the key factors in high-rank coalbed methane fields: A case study on the Fanzhuang Block, Southern Qinshui Basin, China: International Journal of Coal Geology, 96-97, 93-108.
Marfurt, K. and Kirlin, R., 2001, Narrow-band spectral analysis and thin-bed tuning: Geophysics, 66(4), 1274-1283.
Wang, X. and Chen, T., 2014, Quantitative prediction of tectonic coal thickness based on FNN and seismic attributes: Journal of Information and Computational Science, 11(11), 3653-3662.
Widess, M., 1973, How thin is a thin bed?: Geophysics, 38(6), 1176-1180.
Wold, M.B., Connell, L.D. and Choi, S.K., 2008, The role of spatial variability in coal seam parameters on gas outburst behaviour during coal mining: International Journal of Coal Geology, 75(1), 1-14.
Zeng, H., 2010, Geologic significance of anomalous instantaneous frequency: Geophysics, 75(3), P23-P30.
Zhang, K., Wang, Y.-J., Chen, T.-J. and Liu, Z.-T., 2011, The prediction of gas outburst risk area based on forward modeling and SVM: Zhongguo Kuangye Daxue Xuebao/Journal of China University of Mining and Technology, 40(3), 453-458.

/content/journals/10.1071/ASEG2016ab116

Article Type: Research Article

Keyword(s): model-based calibration; seismic attributes; tectonically deformed coal; thickness prediction

Most Cited This Month Most Cited RSS feed

- Inversion of data from electrical imaging surveys in water-covered areas
  
  Authors M. H. Loke and J. W. Lane
- Inversion of Magnetic Data from Remanent and Induced Sources
  
  Authors Robert G. Elllis, Barrry de Wet and Ian N. Macleod
- A comparison of smooth and blocky inversion methods in 2-D electrical imaging surveys
  
  Authors M. H. Loke, Ian Acworth and Torleif Dahlin
- Designing matched bandpass and azimuthal filters for the separation of potential-field anomalies by source region and source type
  
  Authors Jeffrey D. Phillips
- Bad Colour Maps Hide Big Features and Create False Anomalies
  
  Authors Peter Kovesi
- Practical 3D EM inversion – the P223F software suite
  
  Authors Art Raiche, Fred Sugeng and Glenn Wilson
- Estimating Noise Levels in AEM Data
  
  Authors Andy Green and Richard Lane
- Target delineation using Full Tensor Gravity Gradiometry data
  
  Authors Colm A. Murphy and James Brewster
- Transdimensional Monte Carlo Inversion of AEM Data
  
  Authors Ross C Brodie and Malcolm Sambridge
- The geotech VTEM time domain helicopter em system
  
  Authors Ken Witherly, Richard Irvine and Edward Morrison
More Less

oa Thickness prediction of tectonically deformed coal using calibrated seismic attributes: A case study

Abstract

Most Read This Month

Most Cited This Month Most Cited RSS feed