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Emerge guide EMERGE Guide Introduction to EMERGE Part Estimating P-wave Velocity from Seismic Attributes Starting EMERGE Performing Single-Attribute Analysis Performing Multi-Attribute Analysis Applying Attributes to the D Volume Saving the Project Part E

EMERGE Guide Introduction to EMERGE Part Estimating P-wave Velocity from Seismic Attributes Starting EMERGE Performing Single-Attribute Analysis Performing Multi-Attribute Analysis Applying Attributes to the D Volume Saving the Project Part Estimating Porosity from Seismic Attributes Training Neural Networks Applying the Trained Neural Network to the D Volume Part Using EMERGE to Predict Logs from Other Logs Saving the Project C CEMERGE GUIDE TO EMERGE Introduction to EMERGE EMERGE is a program whose purpose is to merge well log and seismic data The general objective is to predict a well log property using attributes of the seismic data That property may be any measured log type such as velocity or porosity or it may even be a derived lithologic attribute such as volume of shale The seismic attributes may be calculated internally or they may be provided as external attributes The analysis proceeds in several stages Examine the log and seismic data at well locations to determine which set of attributes is appropriate Derive a relationship using multi-linear regression or Neural Networks Apply the derived relationship to a D SEGY volume to create a volume of the desired log property This guide section takes you through the complete EMERGE analysis for three separate examples Part Predicting sonic logs from seismic attributes using multi-linear regression Part Predicting porosity logs from seismic attributes using Neural Networks Part Predicting sonic logs from other logs Each example is independent and may be performed without doing the others Each example uses logs which have already been loaded into a GEOVIEW database If you are unfamiliar with the use of GEOVIEW please refer to the Guide to GEOVIEW and eLOG section of this documentation manual January C EMERGE Part Estimating P-wave Velocity from Seismic Attributes We are now ready to do the ?rst EMERGE example In this example we will estimate P-wave or sonic log velocity from seismic attributes The data set consists of the following ? A SEGY ?le seismic sgy which is a D post-stack data set ? A SEGY ?le inversion sgy which is the D result of performing inversion on the input seismic data ? wells that tie the two SEGY ?les Each of these wells contains a sonic log and a check-shot ?le The objective of this analysis is to predict new sonic logs for the entire D survey using the seismic data and the inversion result The ?rst step is to start the GEOVIEW program GEOVIEW is the application manager that acts as a launch pad for other Hampson-Russell programs On a Unix workstation do this by going to a command window and typing geoview On a PC initialize GEOVIEW by clicking the Start button and selecting the Geoview option on the Programs HRS applications window When you ?rst launch GEOVIEW the ?rst window that you see is the Opened Database List which displays your recently used databases For this example a database has already been created for you To load this database click Open January CEMERGE For detailed information on