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Jingyuan Yin - One of the best experts on this subject based on the ideXlab platform.

  • GIS-based modeling of secondary Hydrocarbon Migration pathways and its application in the northern Songliao Basin, northeast China
    Computers & Geosciences, 2008
    Co-Authors: Xuefeng Liu, Guangfa Zhong, Jingyuan Yin
    Abstract:

    Hydrocarbon Migration pathways are the linkage between Hydrocarbon source areas and accumulation sites. Modeling accurately the pathways of Hydrocarbon Migration is of important significance in determining the location of favorable petroleum exploration targets. In this paper, GIS-based modeling algorithms are presented for searching the pathways of secondary Hydrocarbon Migration by considering the geologic mechanisms. These algorithms are constructed on a raster digital elevation model (DEM) of the top boundary of a carrier bed, in which secondary Migration occurred. On the DEM, a 3x3 pixel sized window is used for searching. The center of the search window is initially assumed at a point on the boundary of a Hydrocarbon source area, from which the secondary Hydrocarbon Migration starts. The altitude values in the eight adjoining pixels enclosing the central pixel of the search window are compared, and the pixel with an altitude value not only larger than the central pixel but also the largest of the eight surrounding pixels is the next target pixel where the search window will move to. Each searched path will terminate at either a convex point, which indicates the existence of a trap for Hydrocarbon accumulation, or a point on the boundary of the DEM, which suggests that the pathway of Hydrocarbon Migration extends outside the DEM. In addition, a concourse point of two paths is also considered as a termination point of either path. The algorithms were successfully applied in the modeling of the secondary Migration pathways in the northern Songliao Basin, northeast China. The modeled results matched well with drilling data, suggesting the robustness of the algorithms.

Guangping Luo - One of the best experts on this subject based on the ideXlab platform.

Wenbo Gao - One of the best experts on this subject based on the ideXlab platform.

  • Hydrocarbon Migration pathways in the Neogene of Laixi structural belt, southern Bohai Sea, China
    KeAi Communications Co. Ltd., 2016
    Co-Authors: Geng Qian, Chengmin Niu, Bo Yang, Wenbo Gao
    Abstract:

    Abstract: Characteristics, distribution, temporal and spatial configuration, and effectiveness of Hydrocarbon Migration pathways have been investigated through geochemical and formation pressure analysis etc, to further reveal Hydrocarbon accumulation patterns in the Neogene of the Laixi structural belt, southern Bohai Sea of China. Firstly, three factors, faults, carrier rocks (beds) and mud caprocks of the transporting framework in the Neogene were examined to find out its feature and space configuration and made static state evaluation. It is found that besides the Guantao Formation – lower Minghuazhen Formation No. V oil layers, the No. I – III oil layers in the lower Minghuazhen Formation are also the dominant oil and gas carrier beds. Cutted by the adjustment faults and sealed by mudstone capcocks, the two carrier layers are combined into a “layered cake” type Hydrocarbon Migration framework. Then the Hydrocarbon passage pathways were tracked dynamically and described using nitrogen compounds concentration, formation pressure, fluorescence logging and sand bodies description, which shows that the “T03-T02-T01 mudstone cap layers” separate the Neogene Hydrocarbon Migration pathways into upper and lower units. The massive sandy conglomerate reservoirs in the Guantao Formation – lower Minghuazhen Formation No. V oil layers are the carrier bed of the lower Hydrocarbon Migration pathway, while the north-south trending overlapped and connected channel sandbodies in lower Minghuazhen Formation No. I – III oil layers are the carrier bed of the upper unit. Hydrocarbon migrated laterally along the two passage ways, accompanying with differential accumulation. Key words: southern Bohai Sea, Laixi structural belt, Hydrocarbon passage framework, dominant Migration pathway, Hydrocarbon Migration pattern, accumulation patter

  • Hydrocarbon Migration pathways in the Neogene of Laixi structural belt, southern Bohai Sea, China
    Petroleum Exploration and Development, 2016
    Co-Authors: Geng Qian, Chengmin Niu, Bo Yang, Wenbo Gao
    Abstract:

    Abstract Characteristics, distribution, temporal and spatial configuration, and effectiveness of Hydrocarbon Migration pathways have been investigated through geochemical and formation pressure analysis etc, to further reveal Hydrocarbon accumulation patterns in the Neogene of the Laixi structural belt, southern Bohai Sea of China. Firstly, three factors, faults, carrier rocks (beds) and mud caprocks of the transporting framework in the Neogene were examined to find out its feature and space configuration and made static state evaluation. It is found that besides the Guantao Formation – lower Minghuazhen Formation No. V oil layers, the No. I – III oil layers in the lower Minghuazhen Formation are also the dominant oil and gas carrier beds. Cutted by the adjustment faults and sealed by mudstone capcocks, the two carrier layers are combined into a “layered cake” type Hydrocarbon Migration framework. Then the Hydrocarbon passage pathways were tracked dynamically and described using nitrogen compounds concentration, formation pressure, fluorescence logging and sand bodies description, which shows that the “T 0 3 -T 0 2 -T 0 1 mudstone cap layers” separate the Neogene Hydrocarbon Migration pathways into upper and lower units. The massive sandy conglomerate reservoirs in the Guantao Formation – lower Minghuazhen Formation No. V oil layers are the carrier bed of the lower Hydrocarbon Migration pathway, while the north-south trending overlapped and connected channel sandbodies in lower Minghuazhen Formation No. I – III oil layers are the carrier bed of the upper unit. Hydrocarbon migrated laterally along the two passage ways, accompanying with differential accumulation.

Xuefeng Liu - One of the best experts on this subject based on the ideXlab platform.

  • GIS-based modeling of secondary Hydrocarbon Migration pathways and its application in the northern Songliao Basin, northeast China
    Computers & Geosciences, 2008
    Co-Authors: Xuefeng Liu, Guangfa Zhong, Jingyuan Yin
    Abstract:

    Hydrocarbon Migration pathways are the linkage between Hydrocarbon source areas and accumulation sites. Modeling accurately the pathways of Hydrocarbon Migration is of important significance in determining the location of favorable petroleum exploration targets. In this paper, GIS-based modeling algorithms are presented for searching the pathways of secondary Hydrocarbon Migration by considering the geologic mechanisms. These algorithms are constructed on a raster digital elevation model (DEM) of the top boundary of a carrier bed, in which secondary Migration occurred. On the DEM, a 3x3 pixel sized window is used for searching. The center of the search window is initially assumed at a point on the boundary of a Hydrocarbon source area, from which the secondary Hydrocarbon Migration starts. The altitude values in the eight adjoining pixels enclosing the central pixel of the search window are compared, and the pixel with an altitude value not only larger than the central pixel but also the largest of the eight surrounding pixels is the next target pixel where the search window will move to. Each searched path will terminate at either a convex point, which indicates the existence of a trap for Hydrocarbon accumulation, or a point on the boundary of the DEM, which suggests that the pathway of Hydrocarbon Migration extends outside the DEM. In addition, a concourse point of two paths is also considered as a termination point of either path. The algorithms were successfully applied in the modeling of the secondary Migration pathways in the northern Songliao Basin, northeast China. The modeled results matched well with drilling data, suggesting the robustness of the algorithms.

Martin Hamborg - One of the best experts on this subject based on the ideXlab platform.