基于元胞自动机的声成像测井图像的裂缝自动识别模型

A Model for Automatic Fractures Identification with Acoustic Imaging Logging Based on Cellular Automata

以声成像测井图像中的裂缝的灰度值较大及裂缝是连续的基本事实为基础,利用元胞自动机的局部规则及并行计算机制,给出了一个基于元胞自动机的声成像测井图像的裂缝自动识别模型。该模型是一种直接利用图像中灰度值的离散模型。算例表明该模型是简单有效的。

This article introduces a cellular automata model to solve the problem of fractures recognition in acoustic imaging logging. Cellular automata (CA) are discrete dynamic systems whose behavior is completely specified in terms of a local relatioa A cellular automaton is perfectly suitable for execution on modern SIMD computer architectures. In acoustic logging images the fractures are darker and continuous areas. While investigating the problem of fracture recognition in logging images, we advanced a model of using cellular automata for this purpose. The Cellular automaton is a discrete model using grayscale information in images. This paper presents the results of our research in this problem, that indicates the model is simple and valid.