Skip to main content
SpringerLink
Log in

Reservoir Modeling and Fluid Flow Simulations of Ankleshwar Oil Field, Cambay Basin

  • Chapter
  • First Online:
Integrated Reservoir Studies for CO2-Enhanced Oil Recovery and Sequestration

Part of the book series: Springer Theses ((Springer Theses))

  • 601 Accesses

Abstract

In recent years, mature oil and gas reservoirs are becoming increasingly attractive targets for enhanced oil recovery (EOR) by CO2 injection due to the twin advantages such as EOR and mitigating the impact of CO2 on climate.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Akervoll I, Bergmo PE (2010) CO2-EOR from representative North Sea oil reservoirs. SPE International conference on CO2 capture, storage and utilization, New Orleans, Louisiana, USA, 139765 pp

    Google Scholar 

  • Aziz K, Settari A (1979) Petroleum reservoir simulation. Elsevier Applied Science Publishers, London

    Google Scholar 

  • Bachu S, Bonijoly D, Bradshaw J, Burruss R, Holloway S, Christensen NP, Mathiassen OM (2007) CO2 storage capacity estimation: methodology and gaps. Int J Greenhouse Gas Control 1(4):430–443

    Article  Google Scholar 

  • Bondor PL (1992) Applications of carbon dioxide in enhanced oil recovery. Energy Convers Manage 33:579–586

    Article  Google Scholar 

  • Caers J (2005) Petroleum geostatistics. Society of Petroleum Engineers Publishers, p 104, ISBN-13: 978-1555631062

    Google Scholar 

  • Chen Z, Huan G, Ma Y (2006) Computational methods for multiphase flows in porous media. Southern Methodist University, Dallas, Texas, Society for Industrial and Applied Mathematics (SIAM), p 531

    Google Scholar 

  • Clark NJ, Shearin HM, Schultz WP, Garms K, Moore JL (1958) Miscible drive—its theory and application. J Petrol Technol 10:11–20

    Article  Google Scholar 

  • Coats KH (1982) Reservoir simulation: state of the art. SPE publishers, SPE, Distinguished author series 10020

    Google Scholar 

  • Corey AT (1954) The interrelation between gas and oil relative permeabilities. Prod Mon 19:38–41

    Google Scholar 

  • Dake LP (1983) Fundamentals of reservoir engineering (Developments in petroleum science). Elsevier Science publishers, p 462

    Google Scholar 

  • Darcy H (1856) Les Fontaines Publiques de la Ville de Dijon. Dalmont, Paris

    Google Scholar 

  • Dimri VP (1992) Deconvolution and inverse theory: application to geophysical problems. Elsevier Science Publishers, Amsterdam, p 230

    Google Scholar 

  • Dimri VP, Srivastava RP, Vedanti N (2012) Fractal models in exploration geophysics, vol 41, Elsevier Science Publishers, Amsterdam, p 165

    Google Scholar 

  • Emera MK, Sarma HK (2006) Genetic algorithm (GA)—based correlations offer more reliable prediction of CO2 oil physical properties. Canadian international petroleum conference, Calgary, Alberta, Canada, 13–15 June

    Google Scholar 

  • Ertekin T, Abou-Kassem JH, King GR (2001) Basic applied reservoir simulation. Textbook Series, SPE, Richardson, Texas

    Google Scholar 

  • Honarpour M, Koederitz LF, Harvey AH (1986) Relative permeability of petroleum reservoir. CRC Press, Boca Raton

    Google Scholar 

  • Iserles A (1996) Numerical analysis of differential equations. Cambridge University Press, Cambridge

    Google Scholar 

  • Islam AW, Sepehrnoori K (2013) A review on SPE’s comparative solution projects (CSPs). J Petrol Sci Res 2(4):167–180

    Article  Google Scholar 

  • Kevin B (2002) Development of an integrated model for compaction/water driven reservoirs and its application to the J1 and J2 sands at Bullwinkle, Green Canyon Block 65, Deepwater Gulf of Mexico. MS Thesis, The University of Texas at Austin

    Google Scholar 

  • Kleppe J (2011) Lecture notes on reservoir recovery technique. Norwegian University for Science and Technology, personal communication

    Google Scholar 

  • Kovscek AR, Cakici MD (2005) Geologic storage of carbon dioxide and enhanced oil recovery. II. Cooptimization of storage and recovery. Energy Convers Manage 46:1941–1956

    Article  Google Scholar 

  • Merrill RC, Hartman KJ (1994) A comparison of equation of state tuning methods. SPE-28589-MS, New Orleans, Louisiana, p 259

    Google Scholar 

  • Michelena R, Gringarten E (2009) An introduction to this special section: reservoir modeling constrained by seismic. Lead Edge 28(12):1429

    Article  Google Scholar 

  • Muggeridge A, Cockin A, Webb K, Frampton H, Collins I, Moulds T, Salino P (2014) Recovery rates, enhanced oil recovery and technological limits. Phil Trans R Soc A 372

    Google Scholar 

  • Mukherjee MK (1981) Evolution of Ankleshwar Anticline, Cambay Basin. India Geol Notes, AAPG, pp 336–345

    Google Scholar 

  • Oil and Natural Gas Corporation of India (ONGC) (2010) Annual report of Ankleshwar asset for the year 2009–2010 by Sub-surface team. Ankleshwar asset, ONGC

    Google Scholar 

  • Orr FM, Taber JJ (1984) Use of carbon dioxide in enhanced oil recovery. Science 224(4649):563–569

    Article  Google Scholar 

  • Pedersen KS, Christensen PL, Shaikh JA (2014) Phase behavior of petroleum reservoir fluids, 2nd edn, CRS Press, Bocoa Raton, p 465

    Google Scholar 

  • Sigmund PM, McCaffery FG (1979) An improved unsteady-state procedure for determining the relative-permeability characteristics of heterogeneous porous media. SPE J 19(1):15–28

    Article  Google Scholar 

  • Srivastava RP, Vedanti N, Akervoll I, Bergmo P, Yerramilli RC, Yerramilli SS, Dimri VP (2015) Study of CO2 EOR in a sector model from mature oil field, Cambay Basin, India. In: Mukherjee S (ed), Petroleum geosciences: Indian contexts. Springer, Berlin, pp 87–98

    Google Scholar 

  • Stone HL (1970) Probability model for estimating three-phase relative permeability. J Petrol Technol 22(2):218–241

    Article  Google Scholar 

  • Todd M, Longstaff W (1972) The development, testing and application of a numerical simulator for predicting miscible flood performance. J Petrol Technol 24:874–882

    Article  Google Scholar 

  • Zhao DF, Liao XW, Yin DD (2014) Evaluation of CO2 enhanced oil recovery and sequestration potential in low permeability reservoirs, Yanchang Oilfield. Chin J Energy Inst 87:306–313

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Academy of Scientific and Innovative Research (AcSIR)/CSIR-National Geophysical Research Institute, Hyderabad, Telangana State, 500007, India

    Shib Sankar Ganguli

Authors
  1. Shib Sankar Ganguli
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shib Sankar Ganguli .

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Ganguli, S.S. (2017). Reservoir Modeling and Fluid Flow Simulations of Ankleshwar Oil Field, Cambay Basin. In: Integrated Reservoir Studies for CO2-Enhanced Oil Recovery and Sequestration. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-55843-1_3

Download citation

Publish with us

Policies and ethics

Search

Navigation