Advanced seepage layer section conventional well logging characterization method based on pore structure
The invention discloses a conventional logging characterization method for a dominant seepage layer section based on a pore structure, and belongs to the field of oil-gas field development. According to the method, a micro-pore structure parameter calculation model based on conventional logging info...
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| creator | XU MING SHU WEIGUO XI BIN MA JIANPO LI HAIYAN LU QI LI JIN HAO LIPING ZHUANG XUELIANG GUO XIANGGUANG LIU JUNDONG LUO XIAOFENG SHAO YANG XU CHANGMIN SONG HONGYE QU CUIXIA |
| description | The invention discloses a conventional logging characterization method for a dominant seepage layer section based on a pore structure, and belongs to the field of oil-gas field development. According to the method, a micro-pore structure parameter calculation model based on conventional logging information and a permeability calculation method based on micro-pore structure parameters are constructed by adopting a BP neural network method on the basis of core experiment data and logging information aiming at the basic characteristic that the permeability of a sandstone reservoir in a research area mainly depends on a micro-pore structure; and further obtaining a macroscopic homogeneity coefficient of the sandstone reservoir, and comprehensively establishing a dominant seepage interval characterization method combining microscopic and macroscopic characteristic parameters. The method is efficient, convenient, low in cost and high in practicability, a reliable scheme can be provided for effective evaluation of t |
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According to the method, a micro-pore structure parameter calculation model based on conventional logging information and a permeability calculation method based on micro-pore structure parameters are constructed by adopting a BP neural network method on the basis of core experiment data and logging information aiming at the basic characteristic that the permeability of a sandstone reservoir in a research area mainly depends on a micro-pore structure; and further obtaining a macroscopic homogeneity coefficient of the sandstone reservoir, and comprehensively establishing a dominant seepage interval characterization method combining microscopic and macroscopic characteristic parameters. 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According to the method, a micro-pore structure parameter calculation model based on conventional logging information and a permeability calculation method based on micro-pore structure parameters are constructed by adopting a BP neural network method on the basis of core experiment data and logging information aiming at the basic characteristic that the permeability of a sandstone reservoir in a research area mainly depends on a micro-pore structure; and further obtaining a macroscopic homogeneity coefficient of the sandstone reservoir, and comprehensively establishing a dominant seepage interval characterization method combining microscopic and macroscopic characteristic parameters. 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According to the method, a micro-pore structure parameter calculation model based on conventional logging information and a permeability calculation method based on micro-pore structure parameters are constructed by adopting a BP neural network method on the basis of core experiment data and logging information aiming at the basic characteristic that the permeability of a sandstone reservoir in a research area mainly depends on a micro-pore structure; and further obtaining a macroscopic homogeneity coefficient of the sandstone reservoir, and comprehensively establishing a dominant seepage interval characterization method combining microscopic and macroscopic characteristic parameters. The method is efficient, convenient, low in cost and high in practicability, a reliable scheme can be provided for effective evaluation of t</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DETECTING MASSES OR OBJECTS EARTH DRILLING EARTH DRILLING, e.g. DEEP DRILLING ELECTRIC DIGITAL DATA PROCESSING FIXED CONSTRUCTIONS GEOPHYSICS GRAVITATIONAL MEASUREMENTS MEASURING MINING OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR ASLURRY OF MINERALS FROM WELLS PHYSICS TESTING |
| title | Advanced seepage layer section conventional well logging characterization method based on pore structure |
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