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Weichao Yan

Researcher at China University of Petroleum

Publications -  32
Citations -  779

Weichao Yan is an academic researcher from China University of Petroleum. The author has contributed to research in topics: Saturation (chemistry) & Oil shale. The author has an hindex of 14, co-authored 32 publications receiving 412 citations.

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Distinguishing fractures from matrix pores based on the practical application of rock physics inversion and NMR data: A case study from an unconventional coal reservoir in China

TL;DR: In this article, the authors distinguish fracture porosity and matrix porosity in coalbed methane reservoirs through a novel approach which is the joint usage of NMR transverse relaxation (T2) measurements and rock physics modeling based on Levenberg-Marquardt (LM) algorithm.
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Evaluation of wettabilities and pores in tight oil reservoirs by a new experimental design

TL;DR: In this paper, the authors performed NMR measurements on rock samples under different fluid saturation states and combined the results with imbibition methods as the novel experimental procedure to characterize wettability and pores of tight oil reservoirs.
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Developing a new hydrate saturation calculation model for hydrate-bearing sediments

TL;DR: In this article, a finite element method (FEM) was used to calculate the resistivity of the hydrate-bearing samples obtained from scanning images, which matched better with the new calculation model rather than the simple formula fitting model.
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Reconstruction of 3D porous media using multiple-point statistics based on a 3D training image

TL;DR: A 3D training image is used in order to provide more realistic 3D pore structure features and the reconstructed models are in good agreement with the real model obtained by X-ray computed tomography scanning in the pore throat geometry and topology and transport property, which justifies the reliability of the proposed method.
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A novel hybrid method for gas hydrate filling modes identification via digital rock

TL;DR: In this paper, a hybrid gas hydrate filling mode identification method via digital rock technique was proposed, which uses a combination of multiple methodologies, including high-resolution micro-scale 3D X-ray computed tomography (μCT) and the digital rock models.