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Guanzheng Q.,China University of Petroleum - East China | Guanzheng Q.,The University of Tulsa | Zhanqing Q.,China University of Petroleum - East China | Siwei W.,The University of Tulsa | Diguang G.,China University of Petroleum - East China
Electronic Journal of Geotechnical Engineering | Year: 2015

Shale micro-fracture fluid flow property and its space distribution determine the entire reservoir fluid flow characteristic, so it makes great significance to understand the micro-fracture fluid flow in shale reservoir. Brazilian test is introduced to obtain the artificial fractures, and the surface morphology data is collected by 3D profilmeter. Then, the rough micro-fracture characteristic parameters: tortuosity, roughness, and surface angularity are calculated based on scanning principle. After that, the micro-fracture permeability is calculated by Lattice Boltzmann method. Finally, combined with grey correlation analysis, the correlation coefficient of different parameter is determined. The result shows that: The actual micro-fracture permeability is 19%~29% less than the permeability of ideal parallel plate model, so it is necessary to include the influence of micro-fracture roughness; The aperture is the most important factor, followed by tortuosity, roughness and surface angularity. It is essential to include the effect of surface angularity, tortuosity and roughness. © 2015 ejge.

Jiang J.,The University of Tulsa | Younis R.M.,The University of Tulsa
Journal of Natural Gas Science and Engineering | Year: 2015

Unconventional gas reservoirs have become the focus of considerable attention as primary energy resource over the past decades worldwide. Numerical modeling technique plays a critical role in providing the essential tools for evaluating, optimizing and managing the development of such complex systems.In this work, we implement a lower-dimensional discrete fracture and matrix (DFM) model in our previously established multi-continuum numerical simulator (Jiang and Younis, 2015) which incorporates several storage and transport mechanisms for unconventional gas reservoirs. The DFM model is based on unstructured gridding, and could handle the non-ideal geometries of hydraulic fracture in stimulated unconventional formation. Mimetic finite difference (MFD) method is applied to provide a consistent spatial discretization under the unstructured framework.We examine the effects of the irregular fracture pattern with multiple orientations on the production profile of multiple-fractured horizontal well in unconventional gas reservoir. High-fidelity numerical solutions are provided to simulate rate transient from several fracture topologies, and three-dimensional studies are performed for inclined fracture geometry. © 2015 Elsevier B.V..

Dutta M.,Oklahoma State University | Ali A.,The University of Tulsa | Melcher U.,Oklahoma State University
Journal of Virological Methods | Year: 2015

Soybean plants that exhibited symptoms of virus infection were sampled from different counties of Oklahoma. These plants were tested serologically for 15 viruses known to infect soybean plants. Fifty-seven samples that exhibited typical virus-like symptoms did not test positive for any of the 15 viruses used in a dot-immunobinding assay (DIBA). Four samples were pooled and used for next generation sequencing using the 454-Roche protocol. Sequence and phylogenetic analysis of the sequences obtained revealed infection with a distinct strain of Tobacco streak virus (TSV). TSV was one of the 15 viruses initially tested for using DIBA and had tested negative. TSV belongs to the genus Ilarvirus and has been reported as a causal agent of bud blight in soybean crops in Brazil and the United States. Out of 10 reported primer pairs for TSV reverse transcription-polymerase chain reaction (RT-PCR), only two had the potential, based on sequence similarity, to amplify part of the genome of the distinct strain of TSV found in Oklahoma and only one was actually able to amplify the region. In this study, a new primer pair, specific to all known TSV and capable of amplifying the Oklahoma strain (TSV-OK), was designed from a highly conserved region of coat protein (CP) sequences and end-point PCR and quantitative RT-PCR detection methods were developed and their sensitivity assayed. This is the first report of specific primers designed from this highly conserved region in the CP of TSV for detection of TSV. Twenty-three of the 57 DIBA soybean samples that initially tested negative were retested with the new specific end-point PCR method and found positive for TSV infection. © 2015 Elsevier B.V.

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