Oil & Gas Training
and Competency Development

Location Kuala Lumpur, Malaysia
Start22 Jun 2020
End26 Jun 2020
Discipline Reservoir Engineering ,
Multi-Discipline
LevelSkill
Duration5 Days
CostUSD 4,800.00
Delivery Mechanism Practical Training with Software



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Applied Statistical Modeling and Data Analytics for Petroleum Engineers and Geoscientists

This Course seeks to provide a practical guide to many of the classical and modern statistical techniques that have become, or are becoming, mainstream for oil and gas professionals. It is intended to serve as a “how to” guide for the practicing petroleum engineer or geoscientist interested in applying statistical modeling and data analytics techniques in reservoir characterization, reservoir modeling/diagnostics and performance predictions. Examples related to both conventional and unconventional reservoirs will be presented and the participants will analyze data using public domain software.
There is a growing trend towards the use of  statistical modeling and data analytics for analyzing the performance petroleum reservoirs, particularly unconventional reservoirs. The goal is to “mine the data” and develop data-driven insights to understand and optimize reservoir response. The process involves: (1) acquiring and managing data in large volumes, of different varieties, and at high velocities, and (2) using statistical techniques to discover hidden patterns of association and relationships in these large, complex, multivariate datasets. However, the subject remains a mystery to most petroleum engineers and geoscientists because of the statistics-heavy jargon and the use of complex algorithms. This course will provide an introduction to statistical modeling and data analytics for reservoir performance analysis by focusing on: (a) easy-to-understand descriptions of the commonly-used concepts and techniques, and (b) case studies demonstrating the value-added proposition for these methods.
This course is on the application of statistics and data analytics for practitioners. As such, it strikes a judicious balance between statistical rigor and formalism and practical considerations regarding the fundamentals and applicability of various relevant concepts. Beginning with a foundational discussion of exploratory data analysis, probability distributions and linear regression modeling, the course focuses on fundamentals and practical examples of such key topics as: Multivariate data reduction and clustering, Machine learning for regression and classification(for developing data-driven input-output models from production data as an alternative to physics-based models), Proxy construction using experimental design (for building fast statistical surrogate models of reservoir performance from simulator outputs for history matching and uncertainty analysis) and Uncertainty quantification for performance forecasting. Data sets from the petroleum geosciences are extensively used to demonstrate the applicability of these techniques.

  • Agenda
  • Topics
  • Audience
  • Location
  • Agenda

    Day 1

    Exploratory Data Analysis

    • Univariate Data
    • Bivariate Data
    • Multivariate Data
    • Fitting Distributions to Data
    • Other Properties of Distributions and Their Evaluation

    Regression Modeling and Analysis

    • Simple Linear Regression
    • Multiple Regression
    • Nonparametric Transformation and Regression
    • Field Application for Nonparametric Regression


    Day 2

    Multivariate Data Analysis

    • Principal Component Analysis
    • Cluster Analysis
    • Discriminant Analysis
    • Field Application: The Salt Creek Data Set


    Day 3

    Uncertainty Quantification

    • Uncertainty Characterization
    • Uncertainty Propagation
    • Uncertainty Importance Assessment
    • Moving Beyond Monte Carlo Simulation
    • Treatment of Model Uncertainty
    • Elements of a Good Uncertainty Analysis Study

    Day 4

    Experimental Design and Response Surface Analysis

    • General Concepts
    • Experimental Design
    • Metamodeling Techniques
    • An Illustration of Experimental Design and Response Surface Modeling
    • Field Application of Experimental Design and Response Surface Modeling

    Day 5

    Data-Driven Modeling and Performance Predictions

    • Introduction
    • Modeling Approaches
    • Computational Considerations
    • Unconventional Field Examples

    Discussion and Wrap-up

    • Key Takeaways
    • Final Thoughts



  • Topics

    • Visualizing univariate, bivariate and multivariate data
    • Fitting simple and multiple linear regression models to observed data
    • Developing a non-parametric regression model from given data
    • Reducing data dimensionality with Principal Component Analysis
    • Grouping data with k-means and hierarchical clustering
    • Identifying classification boundary between clusters using discriminant analysis
    • Applying machine learning techniques (e.g., random forest, gradient boosting machine, support
    vector regression, kriging model) for predictive modeling
    • Generating decision rules with classification tree analysis
    • Translating model input uncertainty into uncertainty in model predictions using Monte Carlo
    simulation and analytical alternatives
    • Analyzing input-output dependencies from Monte-Carlo simulation results
    • Creating an experimental design and fitting a response surface to the results

  • Audience

    Geoscientists, Engineers

  • Prerequisites

  • Location

    Kuala Lumpur

    Kuala Lumpur is the capital and largest city of Malaysia.

    Beginning in the 1990s, the city has played host to many international sporting, political and cultural events including the 1998 Commonwealth Games and the Formula One World Championship. In addition, Kuala Lumpur is home to the tallest twin buildings in the world, the Petronas Twin Towers.

    Protected by the Titiwangsa Mountains in the east and Indonesia's Sumatra Island in the west, Kuala Lumpur has a tropical rainforest climate which is warm and sunny, along with abundant rainfall, especially during the northeast monsoon season from October to March.

    The major tourist destinations in Kuala Lumpur include the Dataran Merdeka (the Independence Square), the House of Parliament, the Istana Budaya, the Istana Negara (National Palace), the Kuala Lumpur Tower, the Muzium Negara (National Museum), the Putra World Trade Centre, the Tugu Negara (National Monument) and mosques such as the Masjid Jamek, the Masjid Negara (National Mosque) and the Federal Territory Mosque.

    Other tourist attractions include the Aquaria KLCC, the Batu Caves, the Makam Pahlawan (National Mausoleum), the National Science Centre, Petaling Street, the Royal Selangor Pewter Visitor Centre, the Zoo Negara (National Zoo), and events such as Malay cultural centres, the Chinese cultural festivals at the Thean Hou Temple and the Thaipusam procession at the Sri Mahamariamman Temple. The Golden Triangle, the commercial hub of the city, contains the Petronas Twin Towers and has a distinctive nightlife. Trendy nightclubs, bars and lounges, such as the Beach Club, Espanda, the Hakka Republic Wine Bar & Restaurant, Hard Rock Cafe, the Luna Bar, Nuovo, Rum Jungle, the Thai Club, Zouk, and many others are located within and around Jalan P. Ramlee, Jalan Sultan Ismail and Jalan Ampang.

    Hotels, from five-star to budget types, have cropped up everywhere to accommodate the influx of tourists each year. There are many hotels near Kuala Lumpur's entertainment and business districts.

    Kuala Lumpur alone has 66 shopping malls and it is the retail and fashion hub for Malaysia. Suria KLCC is one of Malaysia's premier shopping destinations due to its location beneath the Petronas Twin Towers.

    Kuala Lumpur Sky Line

    The Perdana Lake Gardens near the Malaysian Parliament building includes a Butterfly Park, Deer Park, Orchid Garden, Hibiscus Garden and Kuala Lumpur Bird Park, Southeast Asia's largest bird park.

    There are three forest reserves within the city namely the Bukit Nanas Forest Reserve in the city centre, the oldest gazetted forest reserve in the country, Bukit Sungai Putih Forest Reserve and Bukit Sungai Besi Forest Reserve. Bukit Nanas, in the heart of the city centre, is one of the oldest virgin forests in the world within a city. These residual forest areas are home to a number of fauna species particularly monkeys, tree shrews, squirrels and birds.

    Kuala Lumpur is a hub for cultural activities and events in Malaysia. Among the centres is the National Museum which is situated along the Mahameru Highway. Its collection comprises artifacts and paintings collected throughout the country. Kuala Lumpur also has an Islamic Arts Museum which houses more than seven thousand Islamic artefacts including rare exhibits as well as a library of Islamic art books. However, the museum's collection not only concentrate on works from the Middle East, the museum also puts the emphasis on Asia, with China and Southeast Asia especially well represented. This museum features some impressively decorated domes and large open exhibition spaces. It is located at Jalan Lembah Perdana next to the National Mosque.

    Kuala Lumpur is one of the host cities for the Formula One World Championship, the open-wheel auto racing A1 Grand Prix and the Motorcycle Grand Prix with races being held at Sepang International Circuit in the neighbouring state of Selangor, next to the Kuala Lumpur International Airport.

    From Wikitravel licensed under Creative Commons Attribution-ShareAlike 3.0

    • Timezone : GMT+08:00, Singapore (Singapore)
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