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The AAPG/Datapages Combined Publications Database
AAPG Bulletin
Abstract
AAPG Bulletin, V.
DOI: 10.1306/04301917390
A method to evaluate pore structures of fractured tight
sandstone
reservoirs using borehole electrical image logging
sandstone
reservoirs using borehole electrical image logging
Liang Xiao,1 Junran Li,2 Zhiqiang Mao,3 and Hongyan Yu4
1Key Laboratory of Geo-detection, China University of Geosciences, Beijing, People’s Republic of China; School of Geophysics and Information Technology, China University of Geosciences, Beijing, People’s Republic of China; Department of Geosciences, The University of Tulsa, Tulsa, Oklahoma; [email protected]
2Department of Geosciences, The University of Tulsa, Tulsa, Oklahoma; [email protected]
3State Key Laboratory of Petroleum Resource and Prospecting, Beijing, People’s Republic of China; [email protected]
4Northwest University, Xi’an, Shaanxi, People’s Republic of China; [email protected]
ABSTRACT
Fractures are important in improving tight
sandstone
pore connectivity and fluid flow capacity. However, the contribution of fractures to pore connectivity and fluid flow capability cannot be quantified using current methods. The objective of this study was to develop a method to quantitatively characterize reservoir improvement as a result of fractures. This method was proposed based on the experimental results of 37 core samples recovered
from
the Upper Triassic Chang 8 tight
sandstone
in the Jiyuan area of the Ordos Basin, China. The morphological features of the porosity spectra, the mercury injection capillary pressure curves, and the pore-throat radius distributions were analyzed. Accordingly, a method was proposed to construct pseudocapillary pressure (Pc) curves
from
the porosity spectra to characterize the pore structure of fractured reservoirs and to establish corresponding models based on the classified power function method. In addition, a model was developed to predict fracture formation
permeability
based on the Swanson parameter. The proposed method and models were applied in field applications, and the estimated results agreed well with the core and drill-stem testing data. Fractured formations contained good pore structure, high
permeability
, and oil production rata. The relative errors between the model-predicted pore structure evaluation parameters,
permeability
from
Pc curves, and core-derived results are all within ±30.0%. With the integrated study of reservoir pore structure with
permeability
, the effective Upper Triassic Chang 8 fractured tight
sandstone
reservoirs with development potential were successfully identified.
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