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: 93

Full Length Research Paper

Analysis and field applications of water saturation models in shaly reservoirs

Shedid A. Shedid
  • Shedid A. Shedid
  • American University in Cairo (AUC), New Cairo, The 90th Avenue, P. O. 11837, Cairo, Egypt.
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Mohamed A. Saad
  • Mohamed A. Saad
  • American University in Cairo (AUC), New Cairo, The 90th Avenue, P. O. 11837, Cairo, Egypt.
  • Google Scholar


  •  Received: 25 May 2017
  •  Accepted: 05 September 2017
  •  Published: 31 December 2017

Abstract

Shaly sandstone reservoirs have complex pore systems with ultra-low to low interparticle permeability and low to moderate porosity. This has led to development of several models to calculate water saturation in shaly sandstone reservoirs using different approaches, assumptions and certain range of conditions for application. This study has used actual well logging data from two different fields of South Texas and North Sea to evaluate and compare the most popular five shaly sandstone models for calculating water saturation. Furthermore, sensitivity analysis of tortuosity coefficient (a), cementation exponent (m) and water saturation exponent (n) is achieved to investigate their effects on computed values of water saturations using different models. The results indicated that the increase of shale volume decreases water saturation calculated for all popular models. In addition, the increase of tortuosity coefficient and/or cementation exponent (m) causes overestimation of water saturation while the increase of saturation exponent (n) results in underestimation values. The results also showed that the increase of shale volume decreases water saturation calculated for all popular models. In addition, the increase of tortuosity coefficient and/or cementation exponent (m) causes overestimation of water saturation while the increase of saturation exponent (n) results in underestimation values.
 
Key words: Shaly reservoirs, water saturation, well logging, field analysis.