Pore-throat heterogeneity in dolomite reservoirs based on CT imaging: A case study of the 3rd member of the Ordovician Yingshan Formation in Well GC601 in Gucheng area, eastern Tarim Basin

被引：0

作者：

Zhu K. ^{[1
]}

Zhang Y. ^{[2
]}

Lin T. ^{[3
]}

Wang Y. ^{[1
]}

Zheng X. ^{[2
]}

Zhu L. ^{[4
]}

机构：

[1] School of Earth Sciences, Northeast Petroleum University, Daqing, 163318, Heilongjiang

[2] Hangzhou Research Institute of Geology, PetroChina, Hangzhou, 310023, Zhejiang

[3] Exploration and Development Research Institute of Daqing Oilfield Company Ltd., PetroChina, Daqing, 163712, Heilongjiang

[4] The 3rd Oil Production Plant of Daqing Oilfield Company Ltd., PetroChina, Daqing, 163113, Heilongjiang

来源：

Oil and Gas Geology | 2020年 / 41卷 / 04期

关键词：

CT imaging technology; Dolomite reservoir; Pattern of pore-throat radius distribution; Pore-throat heterogeneity characterization; Tarim Basin; Yingshan Formation;

D O I：

10.11743/ogg20200418

中图分类号：

学科分类号：

摘要：

The pore-throat heterogeneity of dolomite reservoirs is mainly reflected by their complex structure and distribution that are difficult to sufficiently and quantitatively analyze with conventional reservoir characterization methods.In this study, nine samples from dolomite reservoirs in the 3rd member of the Ordovician Yingshan Formation (Ying 3 member), Gucheng area, eastern Tarim Basin, were CT scanned to establish a 3D network model for the pore-throats. Such reservoir parameters as pore-throat radius, pore and throat numbers, total porosity, spatial connectivity, and etc., were calculated based on the model.The results show obvious differences among the pore-throat radius distribution curves for the samples.These curves can then be grouped into three categories in terms of shape features, that is, Type Ⅰ, the normal unimodal curve; Type Ⅱ, the unimodal curve for pores and multi-modal curve for throats; and Type Ⅲ, the multi-modal curve for both pores and throats.The genesis of the curves was analyzed and pore-throat radius distribution patterns were set up based on core observation and casting thin section identification of the samples.In conclusion, the pore-throat radius distribution curves for dolomite reservoirs dominated by intra-crystalline pores are generally evenly skewed unimodal distribution, except for some tinny peaks beside the main summits caused by the development of local micro-fractures. The curves may show obvious multiple summits with pores converging along some residual sedimentary structures such as bedding surfaces.All the curves may show the multi-modal distribution with increasing numbers of inter-crystalline dissolved pores under stronger dissolution that indicates high heterogeneity of reservoirs. © 2020, OIL & GAS GEOLOGY Editorial Board. All right reserved.

引用

页码：862 / 873

页数：11

共 25 条

[1] Liu Ce, Zhang Yijie, Li Honghui, Et al., Sequence stratigraphy classification and its geologic implications of Ordovician Yingshan formation in Gucheng area, Tarim basin, Journal of Northeast Petroleum University, 41, 1, pp. 82-96, (2017)
[2] Wang Zhaoming, Yang Haij un, Qi Yingmin, Et al., Ordovician gas exploration breakthrough in the Gucheng lower uplift of the Tarim Basin and its enlightenment, Natural Gas Industry, 34, 1, pp. 1-9, (2014)
[3] Li Yule, Wang Xiandong, Sun Xiaodong, Et al., Structural evolution and favorable exploration direction for Gucheng Low Uplift, Petroleum Geology and Oilfield Development in Daqing, 33, 5, pp. 97-102, (2014)
[4] Feng Xi, Peng Xian, Li Longxin, Et al., The influence of reservoir heterogeneity on water invasion differentiation in carbonate gas reservoirs, Natural Gas Industry, 38, 6, pp. 67-75, (2018)
[5] Al-Khulaifi Y, Lin Q, Blunt M J, Et al., Reservoir-condition pore-scale imaging of dolomite reaction with supercritical CO2 acidified brine: Effect of pore-structure on reaction rate using velocity distribution analysis, International Journal of Greenhouse Gas Control, 68, pp. 99-111, (2018)
[6] Hussein D, Lawrence J, Rashid F, Et al., Developing pore size distribution models in heterogeneous carbonates using especially nuclear magnetic resonance, Engineering in Chalk.Proceedings of the Chalk 2018 Conference, pp. 529-534, (2018)
[7] Sok R M, Knackstedt M A, Varslot T, Et al., Pore scale characterization of carbonates at multiple scales: Integration of Micro-CT, BSEM, and FIBSEM, Petrophysics, 51, 6, pp. 1-12, (2010)
[8] Li Junjian, Liu Yang, Gao Yajun, Et al., Effects of microscopic pore structure heterogeneity on the distribution and morphology of remaining oil, Petroleum Exploration and Development, 45, 6, pp. 1043-1052, (2018)
[9] Li Chuanliang, Zhu Suyang, Nie Kuang, Et al., Pore-throat ratio cannot be determined by constant-speedmercury injection method, Lithologic Reservoirs, 28, 6, pp. 134-139, (2016)
[10] Zhang Tianfu, Shou Jianfeng, Zheng Xingping, Et al., Spatial distribution and characterization of pore and throat of oolitic dolostone of the Lower Triassic Feixianguan Formation in northeastern Sichuan Province, Journal of Palaeogeography, 14, 2, pp. 187-196, (2012)

← 1 2 3 →