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Keywords: neural network modelClose
Paper presented at the SPWLA 61st Annual Logging Symposium, June 24–July 29, 2020
Paper Number: SPWLA-5076
... both wireline logging and loggingwhile- drilling. Extensive synthetic databases (i.e., lookup tables) are generated from an anisotropic root-finding mode-search routine and used to train neural network models as accurate and efficient proxies. Those neural network proxies can be used for real-time...
Paper presented at the SPWLA 60th Annual Logging Symposium, June 15–19, 2019
Paper Number: SPWLA-2019-HHHH
... process. log analysis well logging Reservoir Characterization machine learning Artificial Intelligence DTA neural network porosity correlation statistical method input data Permeability prediction domain transfer analysis core measurement neural network model prediction application...
Paper presented at the SPWLA 49th Annual Logging Symposium, May 25–28, 2008
Paper Number: SPWLA-2008-PPPP
... interpretation using the geologist's observation of the microresistivity images; and secondly, an automated process for quick facies interpretation using a neural network model. Both of the methods required direct comparison with core and images to train the geologist and the neural network model. Manual...
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