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Advanced Crystal Ball for Oil and Gas
 
 
 
 
oracle certified training  
 
code. CB-ADV-OIL-GAS   length. 2 days
type. Instructor-Led   partner. Oracle
price.
$1,200  
 
 
With so many risks and uncertainties associated with production forecasts, drilling costs, reservoir properties, operating expenses, and oil / gas prices, it is extraordinarily difficult to forecast earnings and cash flow for even the simplest prospects. This two-day course will teach the participants how to model uncertainty and risk, identify key drivers, and then refine them using an advanced suite of professional modeling tools. The course also shows how to evaluate individual prospects, and then how to combine them into a working portfolio optimized on your key business indicators.

This course is intended for Oil & Gas professionals involved in evaluating the economic potential of oil and gas wells, prospects, and portfolios. The audience includes asset team engineers and geoscientists charged with providing inputs and running corporate economic evaluations, as well as supervisors to mid-level management who want a hands-on understanding of modeling uncertainty associated with exploration and production operations.

Learn To:

Basics of Monte Carlo Simulation Using Crystal Ball
Advanced Oil &Gas Modeling Using Crystal Ball


 
course schedule  
 
There are currently no scheduled dates for this course. If you are interested in this course, request a course date with the links below.
   
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who can benefit
 
 
This course is intended for Oil & Gas professionals involved in evaluating the economic potential of oil and gas wells, prospects, and portfolios. This audience includes asset team engineers and geoscientists charged with providing inputs and running corporate economic evaluations, as well as supervisors to mid-level management who want a hands-on understanding of modeling uncertainty associated with exploration and production operations.

Attendees should have a good working knowledge of Excel, however, experience with Crystal Ball is not a prerequisite, as beginning concepts and techniques are covered (or reviewed depending on the student\'s experience) in the first 1/2 day of the course.
 
prerequisites
 
 
Advanced preparation includes:

An introductory understanding of Excel
Competence with Windows operating systems (NT 4.0 or later).


 
skills gained
 
 
By the end of this two-day course, you will have learned:

Understand Tornado Charting and analysis for Discounted Cash Flow Analysis of a Drillable Prospect
Convert Point Estimate Prospect Model to Stochastic Simulation Model Accounting for uncertainties
Incorporate historical drilling and completion costs and other historical data Into Simulation
Understand Correlated / Dependent assumptions and their importance to Simulation
Learn Monte Carlo Simulation and analysis of results
Implement Time Series Forecasting
Use multiple business requirements and constraints including Markowitz Efficient Frontier and Sharpe's Ratio for portfolio optimization
Understand the basics of Monte Carlo Simulation using Crystal Ball




 
course content details  
 


  What is Monte Carlo Simulation

How does it differ from Traditional Analysis




  Converting Spreadsheet Models to Account for Uncertainty

Defining assumptions using Distributions
Fitting to historical data
Correlating dependent assumptions
Defining forecasts and using them to predict outcomes




  How to define Parameters for running Monte Carlo Simulation


  Analysis of Monte Carlo Simulation outcomes

Sensitivity Analysis
Trend Charting
Overlay Plots




  Application of Crystal Ball to variety of Financial / Business Models


  Tornado Charting and Analysis for Discounted Cash Flow Analysis of a Drillable Prospect


  Conversion of Point Estimate Prospect Model to Stochastic Simulation Model Accounting


  Incorporating historical drilling and completion costs and other historical data into Simulation


  Correlated / Dependent Assumptions and their importance to O&G Simulation


  Value of Information Modeling: Shoot seismic or not?


  nte Carlo Simulation and analysis of drilling results


  Forecasting oil prices using Time Series forecasting: Crystal Ball Predictor


  Drilling / Prospect Portfolio Optimization using multiple business requirements and constraints: Optquest


  Bootstrapping Analysis


  2D Simulation: isolating difficult or unknown assumptions



 
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