Readers who follow the U.S. Energy Information Administration’s (EIA) weekly product supplied estimates for gasoline, distillates, kerosene-jet fuel, residual fuel oil, and propane in the Weekly Petroleum Status Report (WPSR), could be tempted to read too much into the week-to-week fluctuations reported for those products. For example, does a one-week increase in distillate product supplied of 400,000 barrels per day necessarily indicate that the Nation’s consumption of distillate fuels has suddenly skyrocketed compared to the prior week? Maybe, but not necessarily. This issue of This Week In Petroleum highlights some of the factors that underlie EIA’s weekly product supplied estimates to help readers better understand why some products may show relatively large weekly swings and suggests a broader, more relevant context for considering these estimates.
Weekly Petroleum Status Report users should first keep in mind that this publication offers a weekly estimate of petroleum products that were supplied to the U.S. domestic market. For any given product, EIA’s product supplied estimate is calculated as the net barrels made available to the economy from that week’s production and imports, minus any change in that product’s stock level from the prior week, and less a model-based estimate of exports of that product. Because EIA does not directly survey domestic petroleum end-use consumption, the WPSR’s product supplied estimates serve as a proxy for weekly consumption. And while product supplied is a good proxy for consumption, supply data can fluctuate more on a weekly basis than actual consumption, since product supply estimates include stocks moving between the various levels of the supply chain. These movements include transfers from primary storage at refineries, pipelines, and bulk storage terminals—where stock levels are reported by WPSR respondents—into secondary storage for further distribution to end users.
For example, a refinery might decide to move a larger-than-normal amount of product to a distributor’s secondary storage facility in Week 1, resulting in a larger-than-normal reduction in primary stock levels. Thus, it might appear that an increased amount of product was “consumed” in Week 1, followed by a drop in “consumption” the next week if less of that product is moved out of primary inventory for that same distributor in Week 2. In this simplified example, based solely on the reported changes in stock levels each week, it might initially appear that “consumption” for this product dropped considerably from Week 1 to Week 2, when it was actually just the result of a refiner’s business decision to move this product out of primary storage over one week rather than two. In this case, using a two-week average to view the impact of aggregate inventory changes would likely provide a better estimate of product supplied (as a proxy for consumption) over the entire 14-day period.