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Artificial Neural Network Modeling Enhancing Shear Wave Transit Time Prediction
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作者 mohammad nabaei Arash Shadravan Khalil Shahbazi 《地学前缘》 EI CAS CSCD 北大核心 2009年第S1期85-85,共1页
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 fr... 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 展开更多
关键词 sonic VELOCITY geomechnical MODELING Artificial NEURAL NETWORKS
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Review of Numerous Approaches for Unconfined Rock Compressive Strength Estimation
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作者 mohammad nabaei Arash Shadravan Khalil Shahbazi 《地学前缘》 EI CAS CSCD 北大核心 2009年第S1期126-126,共1页
Most problems faced by practicing of the wellbore stability analysis involve evaluation of rock mechanical properties especially unconfined compressive strength(UCS) of formations,which is one of the major inputs for ... Most problems faced by practicing of the wellbore stability analysis involve evaluation of rock mechanical properties especially unconfined compressive strength(UCS) of formations,which is one of the major inputs for stability analysis models of the borehole.Different sources can be used to develop rock strength profile along the wellbore which is very essential to plan the mud weight window or bit selection for drilling operation.Using this 展开更多
关键词 UCS wellbore stability analysis PETROPHYSICS
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