Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018)

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Fluid identification Method of the Tight Sandstone Gas Reservoir Based on Gassmann Equation

Authors
Chunlei Liu, Na Li, Chaowei Duan, Gang Li, Li Chen, Guoli Li, Chengen Zhang, Fengsheng Zhang, Zhengquan Guo
Corresponding Author
Chunlei Liu
Available Online November 2018.
DOI
10.2991/cimns-18.2018.37How to use a DOI?
Keywords
gassmann equation; elastic modulus; fluid identification; array sonic wave; the tight sandstone gas reservoir
Abstract

The tight sandstone gas reservoir in Altun region of the Qaidam Basin has the characteristics of low porosity and low permeability, low maturity, strong heterogeneity and complex pore structure. It causes the resistivity to react weakly to the fluid, it is not obvious that the conventional explanation method can distinguish the effect of the fluid property, and the difficulty of obtaining the saturation value is more difficult. Gas reservoir cause different change of the speed of sound wave ,amplitude and rock mechanics parameters, so on the basis of Gassmann theory equation we use core calibration logging, combined with the density curve and extraction of compressional wave slowness time and shear wave slowness time, build identification method of the pore fluid volume modulus and model of gas saturation based on elastic modulus, and compared with compressional wave and shear wave velocity ratio method, elastic modulus of single parameter method. This method can avoid rock matrix information, more accurately identify the reservoir pore fluid properties, and solve the electric logging problems in fluid identification. It adds a kind of method for the tight sandy gravel reservoir evaluation, and in the actual application good results have been achieved.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018)
Series
Advances in Computer Science Research
Publication Date
November 2018
ISBN
10.2991/cimns-18.2018.37
ISSN
2352-538X
DOI
10.2991/cimns-18.2018.37How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Chunlei Liu
AU  - Na Li
AU  - Chaowei Duan
AU  - Gang Li
AU  - Li Chen
AU  - Guoli Li
AU  - Chengen Zhang
AU  - Fengsheng Zhang
AU  - Zhengquan Guo
PY  - 2018/11
DA  - 2018/11
TI  - Fluid identification Method of the Tight Sandstone Gas Reservoir Based on Gassmann Equation
BT  - Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018)
PB  - Atlantis Press
SP  - 166
EP  - 170
SN  - 2352-538X
UR  - https://doi.org/10.2991/cimns-18.2018.37
DO  - 10.2991/cimns-18.2018.37
ID  - Liu2018/11
ER  -