Seismic attributes in imaging challenging reservoirs: a case study of Boonsville Field, North Central Texas

Farfour, M. and Yoon, W.J., 2015. Seismic attributes in imaging challenging reservoirs: a case study of Boonsville Field, North Central Texas. Journal of Seismic Exploration, 24: 169-185. In this study, we investigate the Caddo sequence from the Boonsville gas field in the Fort Worth Basin of North Central Texas. Two Middle Pennsylvanian thin reservoirs are closely separated by a thin Caddo limestone unit. Seismic attributes, namely, instantaneous frequency and amplitude attributes did predict the distribution of reservoir facies in some productive wells. Also, the attribute maps implied that the Caddo facies would exist at well locations where the reservoir was not encountered and were absent where their presence was confirmed from well control. To remove this ambiguity, more advanced techniques of filtering, tracking and information extraction have been invoked and integrated. The data were firstly subject to dip-steered filtering and dense tracking processes. Next, the cleaned data set was spectrally decomposed using a Time Frequency Continuous Wavelet Transform. This decomposition successfully resolved both reservoirs. However, some non-reservoir areas were characterized by frequency responses similar to those shown in reservoir areas. Spectral examination of individual traces from producing and non-producing areas inferred that producing zones are characterized by frequency features different than those of the nonproducing zones. Next, poststack seismic inversion was performed to incorporate well data with seismic data and to produce an acoustic impedance cube. Interestingly, the acoustic impedance sections also suggested that the productive sandstones are characterized by different and higher impedance character relative to limestone formations and their surroundings. This study demonstrates that incorporating information from different sources (amplitude, frequency, spectral decomposition, well data, etc.) can assist significantly in overcoming challenging formations in the subsurface.
- Burnett, M.D., Castagna, J.P., Méndez-Hernandez, E., Rodriguez, G.Z., Garcia, L.F.,
- Martinez-Vazquez, J.T., Avilés, M.T. and Vila-Villasefior, R., 2003. Application of spectral
- decomposition to gas basins in Mexico. The Leading Edge, 22: 1130-1141.
- Burns, S. and Street, K., 2005. Spectral decomposition highlights faults. Hart’s E&P, March,
- http://www.epmag.com/archives/digitalOilField/2135.htm.
- Castagna, J.P., Sun, S. and Siegfried, R.W., 2003. Instantaneous spectral analysis: Detection of
- low-frequency shadows associated with hydrocarbons. The Leading Edge, 22: 120-127.
- Castagna, J. and Sun, S., 2006. Comparison of spectral decomposition methods. First Break, 24:
- 75-79.
- Chopra, S. and Marfurt, K.J., 2007. Seismic Attributes for Prospect Identification and Reservoir
- Characterization. SEG, Tulsa, OK, 456 pp.
- De Grout, P., Huck, A., de Bruin, G., Hemstra, N. and Bedford, J., 2010. The horizon Cube: A
- step change in seismic interpretation. The Leading Edge, 29: 1048-1055.
- Farfour, M., Yoon, W.J., Jo, Y. and Kim, Y.W., 2013. Spectral decomposition and reservoir
- engineering data in mapping thin bed reservoir, Stratton Field, South Texas. J. Seismic
- Explor., 22: 77-91.
- Hampson, D., Russell, B. and Bankhead, B., 2005. Simultaneous inversion of pre-stack seismic
- data. Expanded Abstr., 75th Ann. Internat. SEG Mtg., Houston.
- Hardage, B.A., Carr, D.L., Lancaster, D.E., Simmons, J.L., Hamilton, D.S., Elphick, R.Y.,
- Oliver, K.L. and Johns, R.A., 1996a. 3D seismic imaging and-seismic attribute analysis of
- genetic sequences deposited in low accommodation conditions. Geophysics, 61: 1351-1362.
- Hardage, B.A., Simmons, J.L., Lancaster, D.E., Elphick, R.Y., Edson, R.D., and Carr, D.L.,
- 1996b. Boonsville 3-D Seismic Data Set. The University of Texas at Austin, Bureau of
- Economic Geology, 32 pp.
- Mallat, S., 2008. A Wavelet Tour of Signal Processing. Academic Press Inc., New York.
- Partyka, G., Gridley, J. and Lopez, J.A., 1999. Interpretational applications of spectral
- decomposition in reservoir characterization. The Leading Edge, 18: 353-360.
- Roksandic, M.M., 1995. On: '3-D seismic imaging and seismic attribute analysis of genetic
- sequences deposited in low- accommodation conditions' (B.A. Hardage, D.L. Carr, D.E.
- Lancaster, J.L. Simmons Jr., D.S. Hamilton, R.Y., Elphick, K.L., Oliver and R.A. Johns,
- Geophysics, 61: 1351-1362). Geophysics, 60: 1585-1587.
- Tanakov, M.Y. and Kelkar, M., 2000. Integrated Reservoir Description for Boonsville, Texas Field
- Using 3D Seismic Well and Production Data. Society of Petroleum Engineering, SPE 59693.
- Xie, D., Wood, J.R. and Pennington, W.D., 2004. Quantitative seismic facies analysis for thin-bed
- reservoirs: A case study of the central Boonsville Field, Fort Worth Basin, North-central
- Texas. Expanded Abstr., 74th Ann. Internat. SEG Mtg., Denver: 1484-1487.
- Yoon, W.J. and Farfour, M., 2012. Spectral decomposition aids AVO analysis in reservoir
- characterization: A case study of Blackfoot field, Alberta, Canada. J. Comput. Geosci., 46:
- 60-65.