Machine Learning Essentials for Seismic Interpretation (Certification)

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This course will address the following questions:What is machine learning and how does it apply to seismic exploration…

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This course will address the following questions:What is machine learning and how does it apply to seismic exploration and unconventional resource development?What is the difference between supervised and unsupervised machine learning?When is an analysis statistical and when is it machine learning?What is attribute space and what is the mathematical foundation of this technology?How do you know if the results are any good?What are some case histories that illustrate machine learning principals?What are some practical tips?Each of these topics will include one or more examples and simple exercises to illustrate a principal where appropriate.OperationPractice Foundation Prediction- Supervised and- Geobodies- Seismic Processing for- The Best Well  Unsupervised Learning- Geobody Classification  Machine Learning- The Best Seismic- MLP; CNN; FCN;- Below-Tuning- Attribute Selection List- Processing   k-means; SOM- Fluid Contacts- Objectives- Over-Fitting- Attribute space-Geobody Seismic Facies- Principal Component- Cross-Validation- Classification- Making Predictions – Analysis- Who Makes the Best Predictions?  

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