Register      Login
Exploration Geophysics Exploration Geophysics Society
Journal of the Australian Society of Exploration Geophysicists
RESEARCH ARTICLE

Shale volume determination using sonic, density and neutron data

Walid M. Mabrouk 1 2 Mostafa H. Kamel 1
+ Author Affiliations
- Author Affiliations

1 Geophysics Department, Faculty of Science, Cairo University, Giza, Egypt.

2 Coresponding author. Email: walid_mabrouk@yahoo.com

Exploration Geophysics 42(2) 155-158 https://doi.org/10.1071/EG10014
Submitted: 7 May 2010  Accepted: 11 March 2011   Published: 28 June 2011

Abstract

The volume of shale calculation based on naturally occurring gamma rays frequently overestimates shale volume when radioactive material other than shale is present, for example where sand appears to be shale. In this situation, shale volume calculations from other methods are highly recommended in order to avoid overestimation or underestimation of shale volume. This paper introduces an equation relating shale volume to porosity logs (neutron, density and acoustic logs), which takes into account the effect of matrix, fluid and shale parameters. This equation, which is based on the effective porosity definition and the Dresser Atlas (1982) equation, has been successfully applied to many shaly formations, regardless of the type and distribution of shale. Solved examples are used to test and compare this equation and the results come close to what actually exists, with the amount of error ranging from –5 to +5%.

The advantages of the proposed equation can be summarised as: (1) it is a function of several parameters that affect the determination of shale volume in one formula; (2) it collects the three porosity tools for a more accurate calculation; and (3) it works best where radioactive material other than shale is present.

Key words: shale volume, sonic density and neutron logs, shale volume from porosity.


References

Clavier, C., Hoyle, W. R., and Meunier, D., 1971, Quantitative interpretation of TDT logs. Parts I and II: Journal of Petroleum Technology, 23, 743–763
Quantitative interpretation of TDT logs. Parts I and II:Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaE3MXks1Gku7g%3D&md5=0b0aa84b94423deeb23320d932c8cdd2CAS |

Dresser Atlas, 1979, Log interpretation charts: Dresser Industries.

Dresser Atlas, 1982, Log interpretation charts: Dresser Industries.

Fertl, W. H., 1987, Log-derived evaluation of shaly clastic reservoirs: Journal of Petroleum Technology, 39, 175–194
Log-derived evaluation of shaly clastic reservoirs:Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaL2sXhsVSls7w%3D&md5=44fbe64dd2be0c1412ef2fc7cdc56907CAS |

Hilchie, D. W., 1978, Applied open hole log interpretation: Golden, Colorado: D. W. Hilchie.

Kamel, M. H., and Mabrouk, W. M., 2003, Estimation of shale volume using a combination of the three porosity logs: Journal of Petroleum Science Engineering, 40, 145–157
Estimation of shale volume using a combination of the three porosity logs:Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3sXos1aju7s%3D&md5=524c708d96c6fe3b56c67d32309bdadcCAS |

Ruhovets, N., 1990, A Log analysis technique for evaluating laminated reservoirs in the Gulf Coast area: The Log Analyst, 31, 294–303

Schlumberger, 1975, A guide to wellsite interpretation of the Gulf Coast: Schlumberger Well Services.

Steiber, R. G., 1973, Optimization of shale volumes in open hole logs: Journal of Petroleum Technology, 31, 147–162

Tenchov, G. G., 1998, Evaluation of electrical conductivity of shaly sands using the theory of mixtures: Journal of Petroleum Science Engineering, 21, 263–271
Evaluation of electrical conductivity of shaly sands using the theory of mixtures:Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK1cXotVGjtrY%3D&md5=838ecfbb2adf27106965e1782fe4a299CAS |

Waxman, W. H., and Smits, L. J. M., 1968, Electrical conductivities in oil-bearing shaly sands: Transactions AIME, 243, 107–122

Worthington, P. F., 1985, The evaluation of shaly-sand concepts in reservoir evaluation: The Log Analyst, 26, 23–40