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1 Replies and 586 Views AAPG Business Meeting Leadership Days Live  586  1 Started by  Patrick Ng Lets make this TIG a go-to place for outside the box thinking and help AAPG plan for the next 100 years. For warm up, post your answers to: Q1: what do we do today to show value Q2: new venture strategy - number of super vs. mini-basins Q3: kind of data that we need to be successful All ideas welcome! Let your creativity rip, fast and furious.
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22 Nov 2017 01:17 PM
0 Replies and 594 Views Model Non-Uniqueness and First Principle  594  0 Started by  Patrick Ng In classic model-based inversion, we learn to live with non-unique solution (i.e., there is more than one model that fit the data using criteria like minimum mean squared error). One safeguard is calibration (e.g., seismic-inverted model properties vs. that from well logs or drill bits) to determine if the resulting model makes sense or not. Likewise, we can have different neural network configurations (e.g., number of hidden layers and neurons within each layer, even different activation fun...
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17 Nov 2017 11:18 AM
0 Replies and 507 Views TensorFlow in the Cloud - AWS, GCP or Azure?  507  0 Started by  Patrick Ng TensorFlow on three platforms, first impression - Amazon Web Services (AWS) - does require use of Unix script, and if running from Windows, additional download of utility PuTTY for ssh connections (geek speak for cybersecurity key). ttps:// Google Cloud Platform (GCP) - much the same as AWS, and no PuTTY download required. ...
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16 Nov 2017 03:22 PM
1 Replies and 524 Views First Principle - Model  524  1 Started by  Patrick Ng Recall what 'model' meant and lessons learnt: Amplitude-versus-Offset (AVO) Intercept and slope (gradient) multiplied by sine square of angle in a linearised model Product of intercept and slope is an attribute (e.g., feature engineering) Intercept and slope are two distinct features Inversion Gulf coast - low-frequency trend / young clastic sediments / cyclic deposition North Sea - discrete-structure layers / carbonates / unconformities Prestack Depth Migration GOM - vel...
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01 Nov 2017 12:34 AM
3 Replies and 1183 Views Tensor Processing Unit (TPU)  1183  3 Started by  Patrick Ng The first generation TPU was only able to handle inference. The new one can also be used for training machine learning models, a significant part of the machine learning workflow all within this single, powerful chip. That means that you can build a machine learning model — for example, to correctly identify an object in a photo is a tree, a car or a cat. Inference in machine learning refers to the statistical likelihood that the machine’s conclusions are correct — for example, based on the m...
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01 Nov 2017 12:06 AM
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