论文部分内容阅读
地下岩层中普遍存在由地应力诱导排列的垂直裂隙或裂缝,转换横波在这样的介质中传播时,会分裂成沿着裂缝传播的快横波和垂直裂缝传播的慢横波,利用这一现象可以预测地层裂缝发育的方位和密度,该技术对于裂缝系油气藏探测起到了重要作用并显示了巨大的应用潜力.本文将模拟退火法与收缩因子粒子群算法进行融合,并应用快慢横波的Pearson相关系数公式作为目标函数,来自动求取裂缝方位角度和密度,模型试算结果显示该算法能够很好的进行裂缝属性识别,而且具有收敛速度快、精度高、抗噪性能强的特性.
Vertical fractures or fractures that are induced by geostress are commonly found in underground rock strata. When a converted shear wave propagates in such a medium, it splits into fast shear waves propagating along the crack and slow shear waves propagating through the vertical crack. This phenomenon can be used to predict The azimuth and density of the development of the fractures in the strata have played an important role in the exploration of the fractured reservoirs and have shown great potential for application.In this paper, the simulated annealing method and the shrinkage factor PSO are fused, and the Pearson correlation coefficient The formula is used as an objective function to automatically calculate the azimuth and the density of fractures. The experimental results show that this algorithm can identify the fracture attributes well, and it has the characteristics of fast convergence, high precision and strong anti-noise performance.