shales are characterized by very poor pore connectivity. The T spectrum changes from bi-modal behavior to 2 uni- modal and the right peaks become lower or even disappearing from Type Ⅰ to Type Ⅳpore structure. Fluid mobility is not primarily controlled by pore size, but dependent on the content of short T components (<1 ms). 2 The micro-fractures as well as particles (mainly dolomites) filling them emit strong blue fluorescence. The edges of particles emit strong blue fluorescences and indicate that the interparticle pores are oil bearing. The carbonate particles are oil-wet, and intragranular dissolution pores within carbonate particles are fluorescent. Authigenic clay minerals are abundant in intercrystalline pores, and organic matters are abundant in organic pores, and they emit scattered strong blue fluorescence. Pore structure controlled fluid mobility and determined the microscopic oiliness and macroscopic oil bearing property or hydrocarbon productivity. The comprehensive study above gains insights into the microscopic pore structure and their controls on fluid mobility and oiliness in shale oil reservoirs, and this may have implications for resource potential evaluation and effective exploitation of oil shales.

Liu, X., Tang, D., Ge, C., 2020. Distribution and sources of organic carbon, nitrogen and their isotopic composition in surface sediments from the southern Yellow Sea, China. Marine Pollution Bulletin 150, 110716.

http://www.sciencedirect.com/science/article/pii/S0025326X19308720 The southern Yellow Sea (SYS) is a significant repository of sedimentary organic matter (SOM) and has been impacted by green tides since 2007; however, data on the distribution and quantitative contributions of different 13 15 SOM sources has been scarce. TOC, T Nand their δ C and δ N values were determined in 38 surface sediments. TOC and TN were high in central mud area and low in sand area. TOC was positively correlated with the abundance of fine-grained sediments, indicating that controlling factors of SOM were the sediment types and circulation system. The SOM included marine and terrestrial organic matter and anthropogenic 13 15 nutrient inputs according to TOC/TN (5.8 -14.3), δ C (-25.1‰ to -21.0‰) and δ N (2.6‰-6.4‰). High terrestrial contributions in northern and western parts of SYS, were influenced by terrestrial materials and eroded substances of the abandoned Yellow River delta, respectively. In the central mud area of SYS, marine organic matter was dominant.

Liu, Y., Shan, L., Guo, B., Sun, M., Wang, G., Wang, Q., 2020. Numerical solutions of heat transfer problems in gas production from seabed gas hydrates. Journal of Petroleum Science and Engineering 188, 106824.

http://www.sciencedirect.com/science/article/pii/S0920410519312434 The natural gas in gas hydrates is considered as a major resource of future clean energy. Producing natural gas from gas hydrates at seafloor presents a great challenge to the engineers due to low efficiency in heat transfer processes. A numerical model was developed in this study to investigate the temperature profiles along the hose assembly in the MRMfor harvesting the natural gas from hydrates at the seafloor. Sensitivity analyses were carried out to find major factors affecting the delivering water temperature to the gas hydrate deposits. The result shows that decreasing the temperature of the injected water at surface will cause drop in the delivery temperature of water in the pipe. The drop in the surface temperature is transferred almost by the same amount to the drop in the delivering temperature with the pipe insulation used. The temperature of the water delivered to the gas hydrates drops slowly and linearly with water depth at high water injection rate, and sharply and non- linearly with water depth at low water injection rate. The delivery water temperature is strongly controlled by the pipe insulation but insensitive to it when the thermal conductivity of the insulation material is less than 0.0245 W/m-oC. The temperature in the riser annulus is not essentially affected by any of the invested parameters. A comparison between the numerical model and analytical model under the condition of homogeneous mixture flow was performed. The result shows a good agreement between them, which verified the numerical model.

Liu, Liu, Y., Wang, W., Shah, S.B., Zanaroli, G., Xu, P., Tang, H., 2020. Phenol biodegradation by radioresistens APH1 and its application in soil bioremediation. Applied Microbiology and Biotechnology 104, 427-437.