1887
  1. Home
  2. A-Z Publications
  3. Petroleum Geoscience
  4. Volume 24, Issue 1
  5. Article
Volume 24, Issue 1
  • ISSN: 1354-0793
  • E-ISSN:

Abstract

The Kalol Field in the Cambay Basin of India was discovered in 1961 and has been producing through more than 608 wells from Kalol reservoirs but the cumulative production up until 2008 was only 95.19 MMbbl. Reasons for low recovery have been ascribed to poor reservoir facies and limited reservoir thicknesses. In the Kalol Field, several thin clastic reservoirs are sandwiched within the main reservoir and exhibit lateral variations in lithology.

Attribute-based inversion (ABI) is effective at delineating potentially prospective areas and reveals the existence of a good reservoir facies cluster in the south, SE and NW corners of our study area, near the Kalol Field. However, this method cannot decipher the depositional setting or the finer details of facies elements. To obtain a smooth and fine-tuned facies model, geostatistical modelling is adopted taking the ABI output (seismic-facies model) as the initial model. The advantage of geostatistical modelling is that it always honours the input data and respects the positional variograms of the geology.

Adding spectral decomposition with red–green–blue (SD-RGB) colour blending reveals the existence of a meandering river in the study area. This river is interpreted to have deposited crevasse splays and channel facies along the river banks. These two facies are the main producing contributors to a well that has maintained a higher production than any other well in this field. This facies-based approach is also effective in determining the reservoir geometry and quality consistent with the interpretation of the depositional environment.

In ABI, 3D attribute volumes of petrophysical properties are calculated using a genetic algorithm inversion and artificial neural network using a non-linear correlation between seismic and log properties. The calculated 3D attribute volumes of petrophysical properties are subsequently utilized for seismic facies classification. In contrast to ABI, SD-RGB colour blending has been solely utilized for co-visualization of different band-limited amplitude volumes from spectral decomposition. Conventional seismic inversion has now been replaced by an integrated approach combining ABI, geostatistical modelling and SD-RGB colour blending in an effort to delineate the remaining potential of the field, and to improve the geological success and ultimate recovery.

© 2018 The Author(s)
Loading

Article metrics loading...

/content/journals/10.1144/petgeo2015-090
2017-05-17
2024-04-19

  • From This Site

    /content/journals/10.1144/petgeo2015-090
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Biswas, S.K.
    1987. Regional tectonic framework, structure and evolution of the western marginal basins of India. Tectonophysics, 135, 307–327.
     [Google Scholar]
  2. Das, U.K., Pant, D.C., Parida, G., Rastogi, R. & Bhardwaj, A.
    2013. Application of multi-attributes and spectral decomposition with RGB blending for understanding the strati-structural features: a case study. Expanded abstract PID P262 presented at ‘Changing Landscapes in Geophysical Innovations’ – 10th Biennial International Conference and Exposition, 23–25 November 2013, Kochi, India.
  3. Dhar, P.C. & Bhattacharya, S.K.
    1993. Status of exploration in the Cambay basin. In: Biswas, S.K., Dave, A., Garg, P., Pandey, J., Maithani, A. & Thomas, N.J. (eds) Proceedings of the Second Seminar on Petroliferous Basins of India, Volume 2. Indian Petroleum Publishers, Dehra Dun, India, 1–32.
     [Google Scholar]
  4. Gorain, S. & Thakur, P.
    2015. ‘Attribute based Inversion’ a tool for reservoir characterization: a case study-Kalol Field, Cambay basin, India. Acta Geodaetica et Geophysica, 50, 321–338.
     [Google Scholar]
  5. Gorain, S., Shalivahan & Thakur, P.
    2015. Uncertainty in attribute based inversion for quantification of stock-tank oil initially in place estimation in Kalol reservoir, Cambay basin, India. The Leading Edge, 34, 1058–1060, 1062–1063.
     [Google Scholar]
  6. Gupta, S., Chakraborty, G., Kanungo, U.S., Bharsakale, A. & Dattatraya, K.
    2006. Reservoir delineation of Lower Kalol pays and field growth in Wadu and Paliyad areas, Cambay basin, India. Geohorizons, 2006, (January), 1–8.
     [Google Scholar]
  7. Henderson, J., Purves, S.J., Fisher, G. & Leppard, C.
    2008. Delineation of geological elements from RGB colour blending of seismic attribute volumes. First Break, 27, 342–350.
     [Google Scholar]
  8. Jena, A.K.
    2008. Optimal recovery from low permeability reservoirs of Kalol Field, Cambay basin, India – some key issues. Expanded abstract PID P180 presented at ‘Energy Security : Exploration, Exploitation and Economics’ – 7th Biennial International Conference and Exposition on Petroleum Geophysics, 14–16 January 2008, Hyderabad, India.
  9. Kerr, D.R. & Jirik, L.A.
    1990. Fluvial architecture and reservoir compartmentalization in the Oligocene middle Frio Formation, south Texas. Transactions of the Gulf Coast Association of Geological Societies, 40, 373–380.
     [Google Scholar]
  10. Khonde, K. & Rastogi, R.
    2013. Recent developments in spectral decomposition of seismic data (techniques and applications): a review. Expanded abstract PID P028 presented at ‘Changing Landscapes in Geophysical Innovations’ – 10th Biennial International Conference and Exposition, 23–25 November 2013, Kochi, India.
  11. Partyka, G., Gridley, J. & Lopez, J.
    1999. Interpretational applications of spectral decompositiion in reservoir characterization. The Leading Edge, 18, 353–360.
     [Google Scholar]
  12. Pavlova, M.A. & Reid, I.
    2010. Geophysical inversion of 3D SEISMIC DATA in Panax's Limestone Coast Geothermal Project to determine reservoir porosity. In: Proceedings of the World Geothermal Congress 2010, 25–29 April 2010, Bali, Indonesia, 1–10.
     [Google Scholar]
  13. Veeken, P., Priezzhev, I., Schmaryan, L., Shteyn, Y.I., Barkov, A.Y. & Ampilov, Y.P.
    2009. Nonlinear multi-trace genetic inversion applied on seismic data across the Shtokman field, offshore northern Russia. Geophysics, 74, WCD49–WCD59.
     [Google Scholar]
  14. Vij, R.K. & Kumar, S.
    2010. Reservoir management of Brown field: Kalol, a case study. Paper SPE-128450 presented at theSPE Oil and Gas India Conference and Exhibition, 20–22 January 2010, Mumbai, India, https://doi.org/10.2118/128450-MS
     [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.1144/petgeo2015-090
Loading
Application of attribute-based inversion and spectral decomposition with red–green–blue colour blending for visualization of geological features: a case study from the Kalol Field, Cambay Basin, India
Petroleum Geoscience 24, 102 (2018); https://doi.org/10.1144/petgeo2015-090
/content/journals/10.1144/petgeo2015-090
/content/journals/10.1144/petgeo2015-090
Loading

Data & Media loading...

  • Article Type: Research Article

Most Cited This Month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error