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Artificial Neural Network Modeling Enhancing Shear Wave Transit Time Prediction

Artificial Neural Network Modeling Enhancing Shear Wave Transit Time Prediction
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摘要 Sonic log is the most versatile reservoir evaluation tool that has been introduced to the industry. Compaction,erosion and over pressurized zone can be evaluated by sonic log.Also primary porosity can be determined from compressional sonic wave transit time and secondary porosity will be calculated by comparing sonic derived porosity log with neutron and density based porosity log.On the other hand all of the rock mechanical properties can be evaluated using simultaneous use of compressional and shear sonic wave transit time.It is essential to have
出处 《地学前缘》 EI CAS CSCD 北大核心 2009年第S1期85-85,共1页 Earth Science Frontiers
关键词 sonic VELOCITY geomechnical MODELING Artificial NEURAL NETWORKS sonic velocity geomechnical modeling Artificial Neural Networks
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