SPEI: Monte Carlo Simulation for the Oil and Gas Industry

Speaker Susan Peterson
Susan Peterson has more than 20 years of experience as a consultant, project manager/senior drilling engineer, and as an instructor. Peterson specializes in risk analysis and decision-making methods for full field development, and AFE time and cost models. As a consultant, Peterson performs project-specific risk analysis and provides training on decision ...

Susan Peterson has more than 20 years of experience as a consultant, project manager/senior drilling engineer, and as an instructor. Peterson specializes in risk analysis and decision-making methods for full field development, and AFE time and cost models. As a consultant, Peterson performs project-specific risk analysis and provides training on decision and risk analysis. She has led a risk analysis and decision methods initiative, and has been responsible for the risk analysis on projects ranging from fast-track remote gas field development to large capital expenditure oil development. She holds PhD and MS degrees from Texas A&M University and a BS from Marietta College, all in petroleum engineering.

Full Description

During this 2-day course, participants work directly with spreadsheet-based risk simulation software (either Crystal Ball or @Risk) to examine and modify prepared models and to create simple models of their own. Participants will also analyze historical data using histograms, cross plots, correlation in Excel, and software to fit probability distributions to data. Several worksheet models are included. The course covers software basics such as menus, settings, distributions, outputs, graphics, statistics, sensitivity analysis, interpreting results, and creating reports. Topics include:
 • Monte Carlo simulation and the language of statistics
 • Simulation design
 • Crystal Ball (or @RISK) features, including inputs, outputs, settings, simulation and reports
 • Models to estimate reserves
 • Changing distribution types and parameters
 • Production and economic forecasts
 • Operating and capital expenses
 • Cross plots and correlation in Excel
 • Handling rare events
 • Comprehensive models and linking model components
 • Class Problems

Why You Should Attend

In this course you’ll learn to use the language of probability and statistics to build practical models for business decisions. This intensive learning opportunity will give you a deeper understanding of the decision-making process and open new doors in your career.

Who Should Attend

This course is intended for engineers, geologists and geophysicists, managers, planners, economists and technical support staff.

Special Requirements

Attendees must bring a laptop to class. No previous knowledge of the subject is assumed, although you should be familiar with Excel. Participants are also expected to have experience using models to solve problems, such
as production or economic forecasting, estimating reserves or scheduling.

When?

Tue, Feb. 5 - Wed, Feb. 6, 2013
8:30 a.m. - 5:30 p.m. America/Chicago

Where?

Houston Training Center
10777 Westheimer
Houston, TX 77042
USA

Refund Policy: You must notify the SPE-GCS office of your intent to cancel at least 24 hours prior to the event date to receive a refund. For all refund inquiries, email spe-gcs@spe.org. View our Terms & Conditions for more information.