Once the models were matching current performance, it was handed over to the operations group at the terminal for ongoing use in training staff and optimizing operations. The models were utilized through startup and commissioning, and then were re-tuned with actual operating performance statistics derived from the control system historian and operation’s ongoing KPI data gathering. While Detailed Engineering Design was underway, the higher-level network model was developed to help understand the complexity of linking potential customers with the terminal via the available rail networks, and used by the customers business development team to aid their sales efforts for securing additional contracts for the new terminal. The results of the FEED phase of engineering was confirmed with the terminal model at an early stage and the terminals true potential identified.
The modeling work was completed in a staged approach (refer Figure 1), in conjunction with the standard steps of engineering design.
Ultimately, the dynamic simulations were used to not only confirm and optimize throughput, but the simulation software can also be leveraged for sophisticated operational planning and scheduling solutions.
Two simulation models were developed to analyze the terminal operation: Feeding from the storage tanks, a bank of large loading pumps connected through manifolds to either set of loading arms allowing multiple concurrent unit train processing. An additional lateral pipeline for returning back-hauled condensate and diluent to the pipeline corridor was installed in the same trench as the supply line. To supply the loading operation, on-site crude storage for two distinct products and a new 10 km long lateral pipeline was in-stalled with tie-in access to two major pipelines. In response to the need for additional capacity in moving Alberta Crude to markets, the project was developed in incremental capacity phases, a new unit-train transloading terminal with two loading/unloading tracks, multiple loading positions, and a number of bypass tracks for additional gathering, staging, storage, and distribution. These pipelines transport product to multiple re-fineries in the Industrial Heartland, but also link to a number of terminalling operations and major cross-country pipelines to eastern and western Canada and US markets. The new terminal has direct access to both of the Canadian Class I rail operators, and is ideally located within Alberta’s Industrial Heartland in close proximity to pipeline corridors serving oil sands and heavy oil reserves in the northeast areas of the Province. Recognizing its strategic location, the company transformed and expanded the site of their former chemical plant and Rail/Truck manifest terminal into a crude oil storage and transloading facility to efficiently service the vast oil & gas sectors in Alberta. This paper reviews the approach and value of applying dynamic simulation in the petroleum industry as it relates to this specific project.īased in Calgary, Alberta, Canada, the company has been providing chemical manufacturing and handling services for more than half a century. There was the specific need to verify the process design throughput of the loading facility, in the holistic context of the anticipated logistics and business/market environment. The company recognized the need to apply modeling and simulation technology to represent the new crude loading system in a dynamic environment, therein incorporating inherent variability, to validate the design and make informed decisions. A midstream petroleum company was designing and developing improvements at an existing facility to increase their crude-by-rail terminalling and transloading business, accomplished by expanding and reconfiguring their rail / truck infrastructure to create a new interface point between pipeline and rail transport.