Aiming at the problem that the data-driven automatic correlation methods which are difficult to adapt to the automatic correlation of oil-bearing strata with large changes in lateral sedimentary facies and strata thic...Aiming at the problem that the data-driven automatic correlation methods which are difficult to adapt to the automatic correlation of oil-bearing strata with large changes in lateral sedimentary facies and strata thickness,an intelligent automatic correlation method of oil-bearing strata based on pattern constraints is formed.We propose to introduce knowledge-driven in automatic correlation of oil-bearing strata,constraining the correlation process by stratigraphic sedimentary patterns and improving the similarity measuring machine and conditional constraint dynamic time warping algorithm to automate the correlation of marker layers and the interfaces of each stratum.The application in Shishen 100 block in the Shinan Oilfield of the Bohai Bay Basin shows that the coincidence rate of the marker layers identified by this method is over 95.00%,and the average coincidence rate of identified oil-bearing strata reaches 90.02% compared to artificial correlation results,which is about 17 percentage points higher than that of the existing automatic correlation methods.The accuracy of the automatic correlation of oil-bearing strata has been effectively improved.展开更多
提出了一种针对具有重复场景元素的复杂自然图像的颜色编辑方法,在提供极少量用户交互的情况下,该方法能够快速、准确地对复杂自然图像进行颜色编辑。首先在图像中进行简单的颜色线条标记,并且使用SLIC(simple linear iterative cluster...提出了一种针对具有重复场景元素的复杂自然图像的颜色编辑方法,在提供极少量用户交互的情况下,该方法能够快速、准确地对复杂自然图像进行颜色编辑。首先在图像中进行简单的颜色线条标记,并且使用SLIC(simple linear iterative clustering)超像素分割快速地生成图像子块区域;然后结合纹理特征和颜色特征,定义鲁棒的外观相似性距离度量,以能够捕获图像中所有的重复场景元素;最后在颜色传递过程中采用基于局部特征相似的颜色分配和基于全局的颜色传递方法进行重着色编辑处理。实验结果表明,该方法不仅极大地提高了颜色编辑的时间效率,而且在颜色编辑结果中保证了颜色传递的一致性和连续性,从而能够获得高质量的颜色编辑结果。展开更多
基金Supported by the National Natural Science Foundation of China(42272110)CNPC-China University of Petroleum(Beijing)Strategic Cooperation Project(ZLZX2020-02).
文摘Aiming at the problem that the data-driven automatic correlation methods which are difficult to adapt to the automatic correlation of oil-bearing strata with large changes in lateral sedimentary facies and strata thickness,an intelligent automatic correlation method of oil-bearing strata based on pattern constraints is formed.We propose to introduce knowledge-driven in automatic correlation of oil-bearing strata,constraining the correlation process by stratigraphic sedimentary patterns and improving the similarity measuring machine and conditional constraint dynamic time warping algorithm to automate the correlation of marker layers and the interfaces of each stratum.The application in Shishen 100 block in the Shinan Oilfield of the Bohai Bay Basin shows that the coincidence rate of the marker layers identified by this method is over 95.00%,and the average coincidence rate of identified oil-bearing strata reaches 90.02% compared to artificial correlation results,which is about 17 percentage points higher than that of the existing automatic correlation methods.The accuracy of the automatic correlation of oil-bearing strata has been effectively improved.
文摘提出了一种针对具有重复场景元素的复杂自然图像的颜色编辑方法,在提供极少量用户交互的情况下,该方法能够快速、准确地对复杂自然图像进行颜色编辑。首先在图像中进行简单的颜色线条标记,并且使用SLIC(simple linear iterative clustering)超像素分割快速地生成图像子块区域;然后结合纹理特征和颜色特征,定义鲁棒的外观相似性距离度量,以能够捕获图像中所有的重复场景元素;最后在颜色传递过程中采用基于局部特征相似的颜色分配和基于全局的颜色传递方法进行重着色编辑处理。实验结果表明,该方法不仅极大地提高了颜色编辑的时间效率,而且在颜色编辑结果中保证了颜色传递的一致性和连续性,从而能够获得高质量的颜色编辑结果。
