Controlling factors and predictions of well-connected pore-throat volumes in tight oil sandstones
Controlling factors and predictions of well-connected pore-throat volumes in tight oil sandstones
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致密油砂岩连通孔喉体积控制因素及预测
DOI:
10.1016/j.petrol.2022.111034
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发表时间:
2022-09
影响因子:
--
通讯作者:
Longkan Shao
中科院分区:
文献类型:
--
作者:
Hongping Liu;Yang Luo;Yanchao Zhao;Changmin Zhang;Sibin Zhou;Longkan Shao
Oil production from tight oil sandstone reservoirs has achieved success with the aid of hydraulic fracturing and horizontal well drilling technologies. However, approximately 90% of the oil in these reservoirs remains in place, and reservoir evaluation methods are essential for effective enhanced oil recovery. Well-connected pore throats constitute the connections between fractures and micropores in tight oil reservoirs and lead to high oil recovery levels when using enhanced oil recovery (EOR) methods. In this study, geological factors, such as reservoir quality, lithofacies, and oil charging extent, have been investigated, and their relationships with the well-connected pore-throat volume (S apex ) is discussed. Multiple linear regression and support vector machine (SVM) methods were used for S apex predictions. The results show that the S apex values increase as the porosity/permeability increase and then show a decrease. For the flow zone indicator (FZI), S apex first decreases as the FZI increases and then a slight increase. High S apex values can be present in nearly all lithofacies, except within some small-scale bedding structures. Increased oil saturations may increase the S apex, but some rocks with no oil shows still have high S apex values. High S apex values are mainly present in two cases: (1) Rocks located close to source rocks with high acidic dissolution levels resulting in secondary porosity and authigenic clay contents. (2) Rocks located far from source rocks that have no oil shows and high contents of chlorite cement, which mainly indicate alkaline diagenetic environments. Predictions of S apex using multiple linear regression and SVM methods indicate that SVM regression is a good method because of the two high S apex rock types. The production data from wells with different S apex values show that the S apex has a large effect on fluid flow properties. • Abundant capillary pressure curves were used to obtain the well-connected pore-throat volumes (S apex ). • S apex does not show good linear relationship with porosity, permeability and FZI. • High S apex exist in most all the lithofacies except for small-scale bedding structures. • Rocks with either good or bad oil show may have high S apex values. • S apex can be well estimated from the conventional well logs using SVM regression.
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DOI:
10.2118/154329-ms
发表时间:
2012
期刊:
--
影响因子:
--
作者:
B. Todd Hoffman
通讯作者:
B. Todd Hoffman
DOI:
10.2118/116105-ms
发表时间:
2008
期刊:
--
影响因子:
--
作者:
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通讯作者:
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影响因子:
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作者:
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通讯作者:
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DOI:
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发表时间:
2014
期刊:
Acta Geological Sinica
影响因子:
--
作者:
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通讯作者:
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影响因子:
4.2
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