超声成像测井井径的椭圆拟合及偏心时间图像的校正  

Ellipse Fitting and Eccentricity Time Image Correction of Ultrasonic Imaging Logging

作　　者：余厚全[1] 涂继辉[1] 李国军 余春昊 李长文 

机构地区：[1]长江大学电子信息学院,湖北荆州434023 [2]中国石油集团测井有限公司,陕西西安710077

出　　处：《测井技术》2011年第5期418-421,共4页Well Logging Technology

基　　金：国家863计划重点科研项目先进测井技术与装备中方位声波成像测井技术研究(编号:2006AA060103)

摘　　要：为判断油井在水平方向所承受的压力和方向,基于最小二乘法,利用超声电视测井井径数据对油井截面进行椭圆拟合,提取椭圆的5个参数,根据这些参数估计油井截面的几何形变及其方向,获取油井水平压力和方向信息。理论模型和实际测井数据处理结果表明算法稳健,提取的参数准确。在此基础上,基于估计的椭圆中心,对偏心时间井径数据进行校正,效果良好,其研究结果对油井截面的椭圆拟合和在此基础上对超声电视测井偏心时间图像的校正具有实用价值。In order to estimate intensity and direction of pressure acted on oil well in horizontal, an algorithm based on least square method is used in ellipse fitting for sections of oil well with ultrasonic imaging logging data. Five parameters about ellipses corresponding to the sections of oil well are extracted and their geometry deformations and direction are estimated. So the informa- tion about horizontal pressure and direction can be obtained. The above results show that the fitting algorithm is robust and the estimating error of parameter is small. Based on the estimated ellipse center, the correct processing to the time images under tool eccentricity condition obviously improves image quality. The research result demonstrates the fitting algorithm and correct processing are effective in ultrasonic imaging logging.

关 键 词：超声测井 椭圆拟合 仪器偏心 最小二乘法 校正 

分 类 号：P631.84[天文地球—地质矿产勘探]