西南石油大学学报(自然科学版)

• 地质勘探 • 上一篇    下一篇

井震结合在缝洞识别和预测中的应用研究

郎晓玲1,郭召杰1,刘红岐2   

  1. 1. 北京大学地球与空间科学学院,北京海淀100871
    2.“油气藏地质及开发工程”国家重点实验室· 西南石油大学,四川成都610500
  • 出版日期:2014-08-01 发布日期:2014-08-01

Combination of Well Logging with Seismic Data in the Identification and Prediction of Fracture and Caves

Lang Xiaoling1, Guo Zhaojie1, Liu Hongqi2   

  1. 1. School of Earth and Space Sciences,Peking University,Haidian,Beijing 100871,China
    2. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation,Southwest Petroleum University,Chengdu,Sichuan 610500,China
  • Online:2014-08-01 Published:2014-08-01

摘要:

针对塔里木盆地A 地区碳酸盐岩储层缝洞识别和预测的难点,综合利用岩芯、成像测井和地震等资料,对研究区碳酸盐岩储层开展了缝洞识别和预测研究。通过模型正演,缝洞体在地震剖面上呈现两峰一谷型的“串珠状”强短轴反射或杂乱反射特征,常规电阻率曲线的“双轨”现象异常突出,成像测井中以切割井壁的正弦线或颜色较深的斑块显示为主的测井响应特征。利用改进后的Sobel 边缘检测图像处理方法,井震结合预测了研究区缝洞体的分布。研究结果表明,工区内孔洞的分布具有分区成片的特征,在尖灭线北部区域,溶洞发育密度大,呈团状分布;而在南部区域溶洞密度相对较小,而裂缝发育主要沿南部区域的断裂带分布。与已有生产井的产能资料验证,吻合程度较高。

关键词: 地震, 裂缝预测, 井震联合, 成像测井, 串珠

Abstract:

Aimed at the difficulty to predict and identify the fractured and cavernous carbonate reservoir distribution of A Area in Tarim Basin. In this paper,we carried out the identifying and predicting research of the fracture and cave for the carbonate reservoir by means of the core data,formation image logging data and seismic data in this area. Based on the caves forward modeling,we found that the fractured and cavernous carbonate reservoir is characteristic of moniliform with strong brachyaxis reflection of two peaks and one trough or disconnected reflection from seismic section,and corresponds to the well logging curves,and shows a typical abnormal characteristic with double tracks on resistivity curve. As for the images of the FMI logging,there are obvious sinusoid curve or dark plaques. Based on the advanced Sobel edge detection method,the integrated well logging with seismic data is used to characterize fractures and caves in this area. The results show that caves are located around the pinchout line in the north of this area,with the feature of partitioning continuous distribution and rarely exists in the south of the area. The fractures are mainly distributed near the fault in the south of this area. This result matches with FMI data and is confirmed by the latest production data in this area.

Key words: seismic, fracture prediction, integrated well and seismic, FMI logging, moniliform