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Quanqi Dai

Researcher at China University of Petroleum

Publications -  10
Citations -  353

Quanqi Dai is an academic researcher from China University of Petroleum. The author has contributed to research in topics: Geology & Chemistry. The author has an hindex of 4, co-authored 6 publications receiving 214 citations.

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Review of diagenetic facies in tight sandstones: Diagenesis, diagenetic minerals, and prediction via well logs

TL;DR: In this paper, the impact of diagenesis and diagenetic minerals on reservoir quality in tight sandstones, and established a model for prediction of Diagenetic facies via well logs, as assessed from peer reviewed papers in the literature as well as from the authors' personal experiences.
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Investigation of pore structure and petrophysical property in tight sandstones

TL;DR: In this article, the pore structure was comprehensively evaluated and characterized by linking NMR T2 spectrum with high pressure mercury intrusion (HPMI) analysis, and three typical types of pore structures were recognized through thin section, SEM analysis combined with the capillary curve and NMRT2 spectrum, and the microscopic and macroscopic characteristics of the three pore shapes were investigated.
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Pore structure evaluation of tight reservoirs in the mixed siliciclastic-carbonate sediments using fractal analysis of NMR experiments and logs

TL;DR: In this paper, the pore structure of mixed depositional reservoirs was evaluated by the fractal dimensions, and the influences of various mineral compositions on pore structures were analyzed, which can comprehensively indicate the complexity of pore network.
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Using image logs to identify fluid types in tight carbonate reservoirs via apparent formation water resistivity spectrum

TL;DR: Wang et al. as discussed by the authors developed a new method defined as Rwa spectrum, taking advantage of the high vertical resolution and borehole coverage of the image logs, which can be derived from the histogram distribution of the apparent resistivity values of formation water.
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Fractal model for permeability estimation in low-permeable porous media with variable pore sizes and unevenly adsorbed water lay

TL;DR: In this article, a new fractal permeability model with variable pore sizes was proposed, and instead of the total pore space, the movable fluid space obtained from nuclear magnetic resonance (NMR) experiments was used as the fluid flow channels in the porous media.