Methods of well logging evaluation and identification for carbonate reservoirs with fracture and vug are researched in this paper by using conventional logs and imaging logs.
本文利用常规及成像测井资料，对碳酸盐岩缝洞型储层的识别与评价方法进行研究。
Contrast with the core analysis and the material of imaging logging carefully, the identification for fracture was set up in the imaging logging field.
经岩心分析与成像测井资料仔细对比，建立起裂缝在成像测井资料上的识别方法。
As a new technology, acoustic and electric imaging well logging can be applied to formation fracture identification, ground stress analysis and structure identification, etc.
声电成像测井作为测井新技术，可以应用于地层裂缝识别、地应力分析、构造识别等方面。
Based on artificial neural network theory, using routine logging data in fracture identification is studied.
本文基于人工神经网络理论，开展了常规测井资料识别评价裂缝的研究。
This paper introduces the fracture identification method utilizing engineering parameter of comprehensive mud logging, Among them, the DCS index reflects the drillability and unconsolidated property.
本文介绍了利用综合录井中的工程参数识别裂缝的方法，其中优选出反映地层可钻性的DCS指数，根据DCS指数对地层可钻性及疏松程度的反映来识别储集层裂缝。
This paper introduces the fracture identification method utilizing engineering parameter of comprehensive mud logging, Among them, the DCS index reflects the drillability and unconsolidated property.
本文介绍了利用综合录井中的工程参数识别裂缝的方法，其中优选出反映地层可钻性的DCS指数，根据DCS指数对地层可钻性及疏松程度的反映来识别储集层裂缝。
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