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course | ADVANCED PETROPHYSICS Integration of Core, Log Data and Machine Learning for Defining and Predicting

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OGC-1284 | ADVANCED PETROPHYSICS Integration of Core, Log Data and Machine Learning for Defining and Predicting

Course Sector : Oil, Gas and Chemical

Duration
Date from
Date to Course Venue Course fees Book a course
5 Days2025-05-252025-05-29Al Khobar$4,250 Book now
5 Days2025-09-152025-09-19London$4,950 Book now
5 Days2025-12-222025-12-26Dubai$4,250 Book now
5 Days2025-02-032025-02-07Dubai$4,250 Book now

Course Introduction

This course is essential for reservoir engineers, reservoir geologists, and Petrophysicists dealing with reservoir modeling. The course will provide the different techniques to establish hydraulic flow units from core data. Also it will discuss the different methods to predict the defined HFU for uncored wells and intervals. Then define the saturation height function (SHF) for different HFU either on capillary based or on log based.


Course objective

  • Provide the different techniques to establish hydraulic flow units from core data; RQI, Winland R35, Pittman.
  • Discuss and practice the different methods to propagate the defined HFU for uncored wells and intervals. NN, Fuzzy Logic, MRL, SOM, Cluster Analysis, PCA, Contingency Tables.
  •  Establish the saturation height function (SHF) for different HFU either on capillary or log based with reconciliation with logs.

Course Outline | 01 Day One

 Data Preparation and QC

  •   Data Available Loading
  •   Log Data Editing and Create Flags
  •   Pc Data QC and Corrections 
  •   Data Visualization

Course Outline | 02 Day Two

   Generate HFU

  • RQI
  •   Winland R35
  •   Pittman

Course Outline | 03 Day Three

  Predicate HFU & Permeability

  • Principle Component Analysis
  •   Multiple Linear Regression
  •   Fuzzy Logic
  •   Cluster Analysis
  •   Self-Organizing Maps
  •   Neural Network
  •   Contingency Table

Course Outline | 04 Day Four

    Generate Saturation Height Modeling

  •   Fitting and Smoothing
  •   Averaging
  •   Reconciliation with Log Data

Course Outline | 05 Day Five

Group discussion and Exercises using Software

Course Certificates
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BOOST’s Professional Attendance Certificate “BPAC”

BPAC is always given to the delegates after completing the training course,and depends on their attendance of the program at a rate of no less than 80%,besides their active participation and engagement during the program sessions.

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