Review on Resistivity Inversion of Underground Abnormal Bodies

نویسندگان

چکیده

With the development of petroleum in China, most oilfields have entered stage high water cut development. Well ground resistivity method as a new type electric prospecting method, which influence on formation small, measuring low cost advantages, gradually become one key technology remaining oil distribution detection inversion is through observation underground space apparent data reconstruction distribution, can realize imaging space. In order to achieve morphological characterization and spatial location abnormal area resistivity, then carry out geological interpretation, definition properties are summarized, bottleneck problems encountered practical engineering application re-recognized analyzed. On this basis, theoretical numerical based machine learning introduced solve inverse problem body. The deep emphatically introduced, its advantages disadvantages applicability evaluated. It pointed that an ideal tool for analysis. Then, it direction body propose optimized network architecture learning.

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ژورنال

عنوان ژورنال: Journal of energy and natural resources

سال: 2022

ISSN: ['2330-7366', '2330-7404']

DOI: https://doi.org/10.11648/j.jenr.20221102.12