摘要
讨论了如何将地震资料、测井信息和先验地质知识有机地结合起来预测储层参数,以便揭示储层内部细节和纵横向变化特征。通过将模拟退火算法与人工神经网络相结合,能够解决非线性全局优化问题,勾画出地震信息和储层参数之间的复杂关系,为储层特征描述和储层横向预测提供提供直观、可靠的地层参数剖面 -孔隙度、砂泥质百分含量、含水饱和度及渗透率等剖面。
Through integrating seismic data,borehole information,and a prior geologic knowledge organically, the article discusses the prediction method of reservoir parameter in order to reveal internal details and vertical-lateral variation features of reservoir .With the fusion of Artificial Neural Networks and simulated annealing arithmetic,we can solve the question of nonlinear optimization and obtain complicated relation of seismic information and reservoir parameter. It will supply intuitionistic and reliable stratigraphic parameter profiles,i.e.porosity,sand-shale content,hydrous saturation,and permeation profiles,etc., for geologist to do reservoir characteristic description and reservoir lateral prediction .
出处
《沈阳航空工业学院学报》
2005年第1期76-77,共2页
Journal of Shenyang Institute of Aeronautical Engineering
关键词
储层参数
模拟退火算法
人工神经网络
预测函数
reservoir parameter
simulation annealing arithmetic
artificial neural networks
prediction function
