Permeability prediction using linear regression of porosity does not work well for the reservoir with complex pore structure and large variation of lithofacies. A new method is proposed to predict permeability by comprehensively considering pore structure, porosity and lithofacies. In this method, firstly, the lithofacies classification is carried out using the elastic parameters, porosity and shear frame flexibility factor. Then, for each lithofacies, the elastic parameters, porosity and shear frame flexibility factor are used to obtain permeability from regression. The permeability prediction test by logging data of the study area shows that the shear frame flexibility factor that characterizes the pore structure is more sensitive to permeability than the conventional elastic parameters, so it can predict permeability more accurately. In addition, the accuracy of lithofacies classification has great influence on the permeability prediction, so accurate lithofacies classification is still the precondition of permeability prediction. The field data application verifies that the proposed permeability prediction method based on pore structure parameters and lithofacies is accurate and effective. This method provides an effective mean for permeability prediction.
GAN Lideng
,
WANG Yaojun
,
LUO Xianzhe
,
ZHANG Ming
,
LI Xianbin
,
DAI Xiaofeng
,
YANG Hao
. A permeability prediction method based on pore structure and lithofacies[J]. Petroleum Exploration and Development, 2019
, 46(5)
: 883
-890
.
DOI: 10.11698/PED.2019.05.07
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