2018
DOI: 10.26804/ager.2019.01.07
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A new method for clastic reservoir prediction based on numerical simulation of diagenesis: A case study of Ed1 sandstones in Bozhong depression, Bohai Bay Basin, China

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Cited by 12 publications
(4 citation statements)
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“…They found that the electrical property indices measured under formation conditions were smaller than those measured under normal temperature and normal pressure conditions. The research objects of most previous studies were sandstone reservoirs [20], and some scholars have predicted the properties of clastic reservoirs using establishing models [21]. In terms of the electrochemical properties of rocks, it has been found that the wettability of the rock surface can affect the electric double layer between two-phase media, thus affecting the induced polarization (Figure 1) [22].…”
Section: Introductionmentioning
confidence: 99%
“…They found that the electrical property indices measured under formation conditions were smaller than those measured under normal temperature and normal pressure conditions. The research objects of most previous studies were sandstone reservoirs [20], and some scholars have predicted the properties of clastic reservoirs using establishing models [21]. In terms of the electrochemical properties of rocks, it has been found that the wettability of the rock surface can affect the electric double layer between two-phase media, thus affecting the induced polarization (Figure 1) [22].…”
Section: Introductionmentioning
confidence: 99%
“…Tight gas sandstone reservoirs contain unconventional resources that have been successfully developed around the world [1]. Because tight sandstone reservoirs have experienced relatively strong diagenesis [2], they are generally characterized by variable lithologies, complex pore structures, diverse pore types, highly developed secondary pores, large pore size differences and strong heterogeneity [3]. The conductivity of a logging curve is complex [4], resulting in tight sandstones that exhibit ‘non-Archie’ behaviour [5].…”
Section: Introductionmentioning
confidence: 99%
“…However, this method is still in the quantitative or semiquantitative stage due to the limited spatial resolution of original data, and the reliability and accuracy need to be further verified and improved. Finally, based on the theories of fracture mechanics and rock mechanics, the rock rupture criterion and dynamic numerical simulation method have been applied to establish a quantitative characterization model between strain energy, rupture rate, and volume density, which is an effective and most promising method ( [25][26][27]; Liu et al, 2015; [22,[28][29][30]).…”
Section: Introductionmentioning
confidence: 99%