摘要
裂缝发育程度决定着低渗储层的渗流和产出能力,但由于裂缝发育机制的复杂性,故裂缝性油气藏一直是勘探的重点和难点.目前裂缝评价方法多以常规测井资料为主,结合其它分辨率较高的诸如FMI测井、地层倾角测井等.本文列举的计算机层析成像技术、ANN技术、灰色系统评判法是在裂缝研究领域相对有效的识别和评价方法,在油田的现场应用中取得了良好效果.
The permeability and yield of reservoir is mainly dependent on the degree of fracture development. In oil-gas exploration,identification and evaluation of the fracture-type reservoir are always important and difficult. Currently, there are various methods used for evaluating fractures. By far, the most direct and reliable method is by means of combining regular logging data with some special logging methods such as formation microscanner logging, dipmeter logging etc. The practical data processing showed that integrative use of these methods can greatly improve the identification of fratures in reservoir. Moreover,many advanced methods , such as computer assisted tomography（CT） technology, ANN as well as grey system ,have successfully satisfied some oilfield development home and abroad. The applied outcomes have higher precision. They can be popularized as new testing methods, and will be favorable for the improvement of reservoir description and research levels.
出处
《地球物理学进展》
CSCD
北大核心
2007年第5期1460-1465,共6页
Progress in Geophysics
关键词
裂缝
地层微电阻率扫描测井
计算机层析成像技术
灰色系统
ANN技术
fracture, FMI logging, computer assisted tomography technology, grey system, artificial neural networktechnology
