Dissertation Project by Kyle Bonallo, 2015
BSc (Hons) Computer Science, Final Year, Heriot-Watt University Edinburgh
Petroleum Engineering university courses often focus on the scientific and geological aspects of oil production. E.g.
The business aspect of the industry is more difficult to teach and harder to test in exam situations. As a result, students often miss out on:
The industry is also based heavily on predictions made from data analysis.
There are few certainties in the industry, and often the facts only become clear once the investment has been made and drilling has commenced.
To determine if the use of serious games can improve user understanding of the Petroleum Industry.
Investigate the project domain.
Design a game concept and rule-set.
Develop a prototype web application that successfully models the game concept (Fantasy Oil Game (FOG)).
FOG is resource-based strategy game that sees teams of 4/5 players compete in a fantasy game world.
Teams must turn $ into Oil
The game runs in rounds lasting a fixed amount of time.
Teams can purchase additional exploration data to better inform their decisions.
When teams find an area that they believe shows good potential oil stores: they can place a bid.
This is designed to replicate the real-world bidding process and requires teams to:
The winning team is the one who bids highest investment in drilling, in the shortest time.
When a region is acquired teams can begin drilling exploration wells.
These wells will unearth clearer information about the oil reservoir below:
The graph below illustrates that as the number of exploratory wells increases, the accuracy of the estimated reservoir size improves.
Exploration wells are much cheaper than production wells (in the region of 5x less) due to:
The simulation process encourages students to invest in reducing the risk early on and not gamble with building expensive wells based on little/no data.
Once a team decides to go ahead with a site:
At this point, teams should follow a plan based on their reservoir simulations to determine how many wells will provide optimal recovery.