CAJ | 학술논문

针对成像测井图像成分复杂，噪声多导致裂缝提取效果不佳的问题，提出基于渗流模型的成像测井裂缝提取算法。该算法把成像测井图像裂缝像素点之间的连续性作为成像测井裂缝提取的主要依据，通过对初始像素点进行不断渗流，产生一个与初始像素点相关性极强的线性渗流区域，再通过计算该渗流区域像素点的渗流参数来判断当前像素点是否属于裂缝上的目标。实验表明，基于渗流模型的成像测井裂缝提取算法能有效抑制噪声和剔除孔洞等非裂缝物质，能在复杂成像测井图像中准确地提取裂缝。
침대성상측정도상성분복잡，조성다도치렬봉제취효과불가적문제，제출기우삼류모형적성상측정렬봉제취산법。해산법파성상측정도상렬봉상소점지간적련속성작위성상측정렬봉제취적주요의거，통과대초시상소점진행불단삼류，산생일개여초시상소점상관성겁강적선성삼류구역，재통과계산해삼류구역상소점적삼류삼수래판단당전상소점시부속우렬봉상적목표。실험표명，기우삼류모형적성상측정렬봉제취산법능유효억제조성화척제공동등비렬봉물질，능재복잡성상측정도상중준학지제취렬봉。
Most image segmentation algorithms for extraction of the imaging well logging crack are ineffective because of the complex composition and noises. A new extraction algorithm for imaging well logging crack based on percolation model is proposed. The algorithm uses the continuity of the crack pixels as the basis for extraction, and a linear seepage area that is closely related to the initial pixel is generated through the gradual percolation of the initial pixel. Then, by calculating the percolation parameters of the pixels in percolation area to determine whether the current pixel is the target of the crack. Experimental results show that the proposed algorithm can effectively suppress noises and remove holes and other substances, as well as can extract cracks accurately in complex imaging well logging images.