梁海波,徐彬轩,卿 玉.基于序列图像与针孔成像的井喷流体流速计算[J].电子测量与仪器学报,2022,36(9):140-147 |
基于序列图像与针孔成像的井喷流体流速计算 |
Blowout fluid velocity calculation based on sequence image and pinhole imaging |
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DOI: |
中文关键词: 图像处理 特征识别 井喷流体 针孔成像 流速计算 |
英文关键词:image processing feature recognition blowout fluid pinhole imaging velocity calculation |
基金项目:中石油总公司 西南石油大学创新联合体(2020CX040000)项目资助 |
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中文摘要: |
针对常见井喷流体流速测量方法存在危险性较高、准确性较差的问题,为安全、精确测量井喷流体流动速度,提出了一
种基于序列图像与针孔成像的井喷流体流速计算方法并进行了相应的实验。 该方法利用摄像机和自研井喷模拟装置,通过获
取大量模拟井喷的序列图像,从中选取前后两帧图像后,对这两幅图像分别用 SIFT 算法进行特征点提取,再用 FLANN 算法对
提取出来的特征点进行特征匹配,最后使用 RANSAC 算法进行误匹配特征点消除,得到两幅图之间的准确匹配特征点后,提取
这些像素点的坐标位置并计算出匹配特征点之间的位移距离,最后使用基于针孔成像的方法计算出井喷流体的流速,实验结果
表明,能获得较准确的井喷流体流速,从而更准确估计井喷的危害,保障了现场作业人员人身安全。 |
英文摘要: |
Aiming at the problems of high risk and poor accuracy in common blowout fluid velocity measurement methods, in order to
measure the blowout fluid flow velocity safely and accurately, a calculation method of blowout fluid velocity based on sequence images
and pinhole imaging was proposed and carried out corresponding experiments. The method uses a camera and a self-developed blowout
simulation device to obtain a large number of sequence images of simulated blowouts, selects two frames of images before and after, and
uses the SIFT algorithm to extract the feature points of the two images respectively, and then uses the FLANN algorithm to extract the
feature points for feature matching, and finally the RANSAC algorithm is used to eliminate the mismatched feature points. After obtaining
the accurate matching feature points between the two images, the coordinate positions of these pixel points are extracted and the
displacement distance between the matching feature points is calculated. Finally, the flow rate of blowout fluid is calculated by the
method based on pinhole imaging. The experimental results show that a more accurate flow rate of blowout fluid can be obtained, so as to
more accurately estimate the harm of blowout and ensure the personal safety of field operators. |
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