JMP in the Upstream

Latest Posts

• JMP in the Upstream 02: Machine Learning Approach to Determine Decline Curves

  Original session date: 7 October 2021 Topics covered: Graph Builder, clustering, support vector machines Methodology is inspired by SPE Paper 1961100 - Machine Learning of Spatially Varying ...

  Peter_Polito

  JMP in the Upstream |

  May 18, 2022 8:17 AM

  507 views | 1 replies
  

• JMP in the Upstream 9: Visualizing and predicting pore pressure in Deepwater Gulf of Mexico

  Original session date: 5 May2022 Topics covered: Graph Builder, Model Screening, Neural Networks Speaker: Peter Polito (@peter_polito), Sr. Systems Engineer Data: IODP Expd. 308—https://ml...

  Peter_Polito

  JMP in the Upstream |

  May 9, 2022 9:05 AM

  402 views | 1 replies
  

• JMP in the Upstream 8: Deploying XGBoost algorithms in the upstream oil and gas environment

  Original session date: 7 April 2022 Topics covered: XGBoost, Hyperparameters, machine learning Speaker: Russ Wolfinger (@russ_wolfinger), Distinguished Research Fellow   XGBoost is ...

  Peter_Polito

  JMP in the Upstream |

  Apr 14, 2022 1:02 PM

  789 views | 2 replies
  

• JMP in the Upstream 7: Optimizing your Python machine learning hyperparameters with JMP

  Original session date: 3 March 2022 Topics covered: DOE, space filling, Python, machine learning Speaker: Nick Shelton, Systems Engineer Manager   Optimizing machine learning hyperparame...

  Peter_Polito

  JMP in the Upstream |

  Mar 4, 2022 6:35 AM

  593 views | 0 replies
  

• JMP in the Upstream 06: What's my hydrocarbon? Using spectral data to predict octane rating

  Original session date: 3 February 2022 Topics covered: Data import and cleaning, graphing spectral lines, Generalized Regression, and PLS   In this episode of JMP in the Upstream, @Bill_Wo...

  Peter_Polito

  JMP in the Upstream |

  Feb 4, 2022 6:21 AM

  373 views | 0 replies
  

• JMP in the Upstream 01: Machine Learning to Predict Hydrocarbon Saturation

  Original session date: 2 September 2021 Topics covered: predictive modeling, machine learning, neural networks, XGBoost Data source: https://www.netl.doe.gov/node/6865   In this epi...

  Peter_Polito

  JMP in the Upstream |

  Jan 26, 2022 6:55 AM

  879 views | 1 replies