Journal of Petroleum and Gas Engineering
Subscribe to JPGE
Full Name*
Email Address*

Article Number - AD52FE867075


Vol.8(10), pp. 111-122 , December 2017
https://doi.org/10.5897/JPGE2017.0270
ISSN: 2141-2677


 Total Views: 0
 Downloaded: 0

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.
  • Google Scholar
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

Copyright © 2017 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0


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.

Archie GE (1942). The Electrical Resistivity Log as an Aid in Determining Some Reservoir Characteristics. SPE J. 146:54-62.
Crossref

 

Best DL, Gardner JS, Dumanoir JL (1978). A Computer-Processed Wellsite Log Computation. Presented at the SPWLA 19th Annual Logging Symposium, El Paso, Texas, 13 -16 June. SPWLA- Z.

 
 

Brock J (1986). Applied open-hole log analysis. Gulf Publishing Company, Texas, USA.

 
 

DeWitte L (1950). Relations between resistivities and fluid contents of porous rocks. Oil Gas J. 49(16):120-134.

 
 

Glover P (2014).The effect of clay on porosity and resistivity logs. In Petrophysics MSc Course Notes Chapt. 20. Yorkshire, United Kingdom: Leeds University.

 
 

Institute of Petroleum Engineering (IPE) (2014). A Reservoir Sequence in the UKCS of the North Sea, Course Manual, London, United Kingdom.

 
 

Kamel MH, Mohamed MM (2006). Effective porosity determination in clean/shaly formations from acoustic logs. J. Pet. Sci. Eng. 51(3-4):267-274.
Crossref

 
 

Mehana M, El-Monier L (2016). Shale characteristics impact on Nuclear Magnetic Resonance (NMR) fluid typing methods and correlations. Petroleum 2(2):138-147.
Crossref

 
 

Poupon A, Leveaux J (1971). Evaluation of Water Saturation in Shaly Formations, the SPWLA 12th Annual Logging Symposium, Dallas, Texas, 2-5 May. SPWLA-1971-O.

 
 

Poupon A, Loy ME, Tixier MP (1954). A Contribution to Electrical Log Interpretation in Shaly Sands. J. Pet. Technol. 6(6):27-34.
Crossref

 
 

Poupon A, Strecker L, Gartner L (1967). Introduction To A Review Of Log Interpretation Methods Used In The Niger Delta. Presented at the SPWLA 8th Annual Logging Symposium, San Antonio, Texas, 12-14 June. SPWLA-1967-Y.

 
 

Ruhovets N, Fertl WH (1982).Volumes, Types, and Distribution of Clay Minerals in Reservoir Rocks Based on Well Logs., paper SPE-10796-MS, SPE Unconventional Gas Recovery Symposium, 16-18 May, Pittsburgh, Pennsylvania, USA.
Crossref

 
 

Schlumberger (1972). Log Interpretation; Volume 1-PrinciplesChapt. 16. New York, Texas: Schlumberger.

 
 

Shedid SA (2001). Multi-Purpose Reservoir Characterization Model, paper SPE 68105, the 12th SPE Middle East Oil Show and Conference (MEOS), Manama, Bahrain, March, 17-20.

 
 

Shedid SA, Tiab D, Osisanya S (1998) Improved Reservoir Description of Shaly Sands Using Conventional Well-Log derived Data for Flow Units Identification, Paper SPE 39803, the Permian Basin Oil and Gas Recovery Conference, Texas, USA, March 25-27.

 
 

Shedid-Elgaghah SA, Tiab D and Osisanya S (2001) New Approach for Obtaining J-Function in Clean and Shaly Reservoirs Using In-Situ Measurements. J. Can. Pet. Technol. 40:30-37.

 
 

Simandoux P (1963). Mesuresd ielectriques en milieu poreux, application a mesure des saturations en eau, Etude du Comportment des massifs Argileux. Supplementary Issue, Revue de I'Institut Francais du Petrol.

 
 

Wylie MRJ, Gregory AR, Gardner LW (1955). Elastic wave velocities in heterogeneous and porous media. Geophysics 21(1):41-70.
Crossref

 

 


APA Shedid, S. A., & Saad, M. A. (2017). Analysis and field applications of water saturation models in shaly reservoirs. Journal of Petroleum and Gas Engineering, 8(10), 111-122.
Chicago Shedid A. Shedid and Mohamed A. Saad. "Analysis and field applications of water saturation models in shaly reservoirs." Journal of Petroleum and Gas Engineering 8, no. 10 (2017): 111-122.
MLA Shedid A. Shedid and Mohamed A. Saad. "Analysis and field applications of water saturation models in shaly reservoirs." Journal of Petroleum and Gas Engineering 8.10 (2017): 111-122.
   
DOI https://doi.org/10.5897/JPGE2017.0270
URL http://academicjournals.org/journal/JPGE/article-abstract/AD52FE867075

Subscription Form