基于天然裂缝网络的二维裂缝度预测技术及应用研究

2D fracture degree prediction and its application based on natural fracture network

（1. 中国石化西南分公司物探研究院，四川德阳 618000;2.成都理工大学，四川成都 610059；3.中国地震局地质研究所，北京 100029）

(1,Geophysical Research Institute,SINOPEC Southwest company,Deyang 618000,Sichuan China;2,Chengdu University of Technology,Chengdu 610059 Sichuan China;3, Institute of Geology,China,Seismological Bureau,Beijing 100029,China )

简要介绍了基于天然裂缝网络的二维裂缝度预测技术的方法原理，讨论了裂缝频度、裂缝密度和裂缝度的物理意义。裂缝度与裂缝长度的分布有关，它反映了裂缝总面积所占测量总面积百分率的大小，是裂缝性油气田的优势裂缝发育带预测及储量估算的重要参数。采用二维裂缝度预测技术以及地震-地质相结合进行裂缝预测的研究思路及方法，以野外露头与钻井岩心裂缝调查所获取的深部信息为基础，通过室内数值模拟和推导，并结合实际三维地震资料，对川西HXC气田须家河组二段储层裂缝网络系统进行了预测。研究成果得到了钻井验证，指出了裂缝发育的区域。

This paper introduced the principles of 2D 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