Many opportunities exist for the application of CAS to Energy. A few examples include:

Agent Based Model of Commodity Trading
A model of the physical characteristics of a pricing point and the global factors that influence the market, independent agents representing the participants in the market, their objectives and tactics. The ability to simulate trading in the market, with attendant evolution of the trading strategies based on feedback from previous efforts.

Oil and Gas Production Optimization
A model of the wells, completions, production characteristics, measurement facilities and equipment, the production and maintenance personnel and equipment. The ability to create optimum initial schedules and to modify/enhance the initial schedule during the production period based on the economic consequence of the available alternatives.

Pipeline Transmission Optimization
For Gas, Oil or Products, in which the physical characteristics of the pipeline, the sources and destinations of product, the transportation paths and storage capacities, the contractual prices and production constraints, and the nominations, scheduling and actual flows are modeled for economic optimization of scheduling alternatives.

Product Distribution Optimization
For Oil Products, in which the location and capacities of product sources, the transportation equipment and personnel, the distribution path alternatives, and the location and nature of demand is modeled for the economic optimization of scheduling alternatives.

Electric Generation Optimization
In which the production characteristics of electric generation assets, their position and connection to the transmission grid, the costs of startup, operation and shut down, are compared to the economics of the market to make real time scheduling decisions.

Trading System Risk Management
For commodity markets, in which the trading book of commodities is modeled to create a net position and financial instruments are evaluated and invoked in relation to an established forward curve for prices to establish and monitor a desired net economic outcome within acceptable risk.

Following the format of Geoffrey Moore in “Crossing the Chasm”, Harper, which he uses to describe potential software products and how they will benefit their customer, here are a few examples of the application of the science:

POGO

Rig Optimization

Transmission 3 Day Forecast

Transmission Comodity