Determining whether a third compressor train was required to meet fluctuating demand
Throughout a year, the natural gas reservoir has three operating modes:
At the start of the project, the reservoir had two compressor trains, which convert natural gas into liquid natural gas (LNG). The team were tasked with determining whether its client needed to invest in a third train to meet requirements across the three operating modes.
Using predictive simulation to understand the reservoir’s complex, long-term operational requirements
The engineering company has used our Witness predictive simulation software for more than 30 years. For this project, the team used Witness to build a digital twin model of the reservoir and conduct a Reliability-Maintainability-Availability (RAM) analysis covering a 30-year period.
Witness offered the valuable ability to conduct continuous modelling of:
These Witness capabilities made it easy for the team to understand future reservoir operations and compressor train requirements – factoring in seasonal demand, mode and maintenance. Importantly, the model also showed the impact of random events like train failure and trading mode variability.
Capital expenditure savings in excess of $10 million
Based on the analysis of the data created by the Witness model, the team were able to conclude that the existing two compressor trains would continue to meet the reservoir’s needs.
Over the 30 years simulated within the model, the third compressor train had no impact on production during the summer’s Injection mode. During the winter’s Production mode, there were some instances where having only two trains reduced the rate at which gas was delivered to users. However, over the 30 years modelled, this only represented 0.06% of operational time, meaning the significant investment was not justified.
The company was therefore able to save its client the substantial capital expenditure – plus ongoing operating and maintenance costs – associated with a third compressor train.