Improving Lateral Continuity in Direct Petrophysical Inversion from Seismic Using Deep Learning

INIS

• data 100%
• learning 100%
• datasets 100%
• reflectivity 66%
• testing 50%
• equations 33%
• porosity 33%
• output 33%
• flexibility 33%
• architecture 33%
• metrics 33%
• stacks 33%
• correlations 16%
• randomness 16%
• losses 16%
• comparative evaluations 16%
• configuration 16%
• modifications 16%
• noise 16%
• fluids 16%
• saturation 16%
• errors 16%
• norm 16%
• calculation methods 16%
• elastic properties 16%
• smoothness 16%
• hydrocarbons 16%
• spatial resolution 16%
• test wells 16%
• splicing 16%

Earth and Planetary Sciences

• Reflectance 100%
• Similarity Index 50%
• Porosity 50%
• Spatial Resolution 25%
• Wavelet 25%
• Well Test 25%
• Correlation Coefficient 25%