煤层混合粒子群声阻抗反演算法设计与仿真

On Designing and Simulating the Inversion Algorithm for the Seam Hybrid Particle Swarm Acoustic Impedance

识别煤层位置,准确地判断煤层厚度,对于测算煤层储量非常重要。利用声速数据反演声阻抗来反演密度数据,可将连续深度采样的深度记录转换为定时采样数据。结合设计的混合粒子群算法计算波阻抗反演值,最后在计算机仿真软件中验证反演算法的合理性,可以清晰地确定煤层底板。

To identify the position and the thickness of the seams is significant to the measurement of the coal reserve. Using acoustic impedance inversion density data calculated by the velocity data, the depth logging by continuous sampling depth timing converts into timing sampling data. Combining the design of hybrid particle swarm algorithm, the wave impedance inversion values are worked out and finally the reasonableness of the inversion algorithm is verified with the computer simulation software, thus the seam floor can be clearly determined.