2020
DOI: 10.1016/j.marpetgeo.2019.08.008
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Impacts of sedimentology and diagenesis on pore structure and reservoir quality in tight oil sandstone reservoirs: Implications for macroscopic and microscopic heterogeneities

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Cited by 65 publications
(33 citation statements)
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“…The differences of porosity, connectivity, and topology of pore space always determine the macroscopic seepage properties [10,11]. The pore space of the reservoir core can be obtained by multi-laboratory test methods [12][13][14][15].…”
Section: Introductionmentioning
confidence: 99%
“…The differences of porosity, connectivity, and topology of pore space always determine the macroscopic seepage properties [10,11]. The pore space of the reservoir core can be obtained by multi-laboratory test methods [12][13][14][15].…”
Section: Introductionmentioning
confidence: 99%
“…The effective identification of diagenetic facies is a difficult problem in reservoir evaluation. Due to the limitation of the core data, it is a common method to characterize sandstone reservoir by logging curve (Zhou et al, 2008;Hao et al, 2010;Qiao et al, 2020;Zhu et al, 2020). Scholars adopt different methods, including multi-parameter comprehensive identification (Paxton et al, 2002;Jiang et al, 2014;Lai et al, 2019;Li et al, 2019), optimization of Logging Mathematical Model for Identification (Cui et al, 2017;Qin et al, 2018;Guo et al, 2019).…”
Section: Automatic Identification Of Diagenetic Faciesmentioning
confidence: 99%
“…The spatial distribution of different types of diagenetic facies is a key problem in the evaluation of the tight sandstone reservoirs. Traditional diagenetic facies prediction is based on reservoir parameters such as thickness, porosity, and permeability (Zou et al, 2008;Hao et al, 2010;Lai et al, 2013;Guo et al, 2019;Li et al, 2020;Qiao et al, 2020). However, there is a problem of low accuracy under the influence of reservoir heterogeneity.…”
Section: Distribution Regularity Of Diagenetic Faciesmentioning
confidence: 99%
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