Journal of
Petroleum and Gas Engineering

  • Abbreviation: J. Petroleum Gas Eng.
  • Language: English
  • ISSN: 2141-2677
  • DOI: 10.5897/JPGE
  • Start Year: 2010
  • Published Articles: 124

Full Length Research Paper

Application of production logging tools in estimating the permeability of fractured carbonated reservoirs: A comparative study

Afshin Davarpanah
  • Afshin Davarpanah
  • Department of Petroleum Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
  • Google Scholar
Behnam Mirshekari
  • Behnam Mirshekari
  • Department of Petroleum Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
  • Google Scholar
Taraneh Jafari Behbahani
  • Taraneh Jafari Behbahani
  • Department of Petroleum Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
  • Google Scholar
Mahmoud Hemati
  • Mahmoud Hemati
  • Department of Petroleum Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
  • Google Scholar


  •  Received: 14 October 2016
  •  Accepted: 27 July 2017
  •  Published: 31 July 2017

References

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Aigbedion I (2007). A case study of permeability modeling and reservoir performance in the absence of core data in the Niger Delta, Nigeria. J. Appl. Sci. 7(5):772-776.
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Babadagli T, Salmi HW (2004). A review of permeability-prediction methods for carbonate reservoirs using well-log data. SPE Reservoir Eval. Eng. 7(2):75-88.
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Carlos F (2004). The perfect permeability transform using logs and cores. InSPE Annual Technical Conference and Exhibition, 26-29 September, Houston, Texas. Society of Petroleum Engineers. 

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Cozzi M, Ruvo L, Scaglioni P, Lyne AM (2007). Core-data preprocessing to improve permeability-log estimation. SPE Reservoir Eval. Eng. 10(05):563-570.
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Dale CR (1949). Bottom Hole Flow Surveys for Determination of Fluid and Gas Movements in Wells. J. Pet. Technol. 1(08):205-210.
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Faroognia A, A-Pour R, Torres-Verdín C, Sepehrnoori K (2011). Numerical Simulation and Interpretation of Production Logging Measurements Using A New Coupled WellBore-Reservoir Model, SPWLA 52nd Annual Logging Symposium, May 14-18.

 
 

Grayson ST, Kohring JJ, Elliot WB, Hertfelder, GP, Goeres TB, Horner SG (2002). Production Logging Advances in the Fractured Monterey. In SPE Western Regional/AAPG Pacific Section Joint Meeting. Society of Petroleum Engineers.
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Harald M, Hofmann H, Blöcher G (2016). An experimental and numerical evaluation of continuous fracture permeability measurements during effective pressure cycles. Int. J. Rock Mech. Mining Sci. 89:109-115.
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Hoffman B (2012). Using production logs (PLT) to estimate the size of fracture networks. J. Pet. Sci. Eng. 98:11-18.
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Kading H (1975). A New Production Logging Technique Horizontal_ Spinner. Southwestern Petroleum. pp. 130-145.

 
 

Li M, Zhao Y (2014). Hydrocarbon Reservoir Logging Evaluation Methods and Technologies. Geophysical Exploration Technology. Oxford, Elsevier. Chapter 90, pp. 239-303.
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McCain WD, Spivey JP, Lenn CP (2011). Petroleum reservoir fluid property correlations. PennWell Books.

 
 

Quintero L, Boyd A (1999). Comparison of Permeability from NMR and Production Analysis in Carbonate Reservoirs. In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers. SPE 56798.
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Sullivan MJ (2007). Permeability from production logs-method and application. J. Pet. Technol. 59(07):80-87.
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