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- W2381794989 abstract "This paper introduced the principles of 2-D fracture degree prediction based on natural fracture network, and discussed the physical meanings of fracture frequentness, fracture density, and fracture degree. Fracture degree is related to the distribution of fracture length, which depicts the percentage of fractured area over the measured area and is a key parameter in prediction of preferential fracture development zone and reserves estimation. Based on the outcrop investigation and core information, the author predicted the fracture distribution for reservoirs of Xujiahe Formation the second segment in HXC gas field. The predicted results have been confirmed by drilling." @default.
- W2381794989 created "2016-06-24" @default.
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- W2381794989 date "2004-01-01" @default.
- W2381794989 modified "2023-09-25" @default.
- W2381794989 title "2-D fracture degree prediction and its application based on natural fracture network." @default.
- W2381794989 hasPublicationYear "2004" @default.
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