Abstract

Abstract In 2000, Brazil experienced its most relevant oil spill accident until today: 1.3 thousand cubic meters (c.m.) of crude oil were leaked from a pipeline to the waters of Guanabara Bay, in Rio de Janeiro. Therefore, in 2001 the Government implemented a federal legislation requiring oil spill response plans (OSRP) which was strongly inspired in the United States requirement for ports and terminals. In 2016, an interdisciplinary task force was initiated to improve this legislation. Thus, a new risk-based framework was developed in order to better engage some of the environmental and social-economical complexities of Brazil as adequate inputs for the oil spill response planning process. This methodology was expanded from the guidelines published by International Association of Oil & Gas Producers (IOGP). First, the concept of sensitive receptors were introduced to describe any valuable element that can be harmed by the spill. These were selected from environmental sensitivities, protection areas, wildlife occurrence, human occupation, tourism and fisheries, among others. These criticalities were categorized in five classes using an oil slick forecast modelling results for different spill volumes such as the minimum time to reach these receptors and oiling probability. After this, they were associated with certain spill volumes, resulting in three possible requirement levels. Consequently, the minimum response capability demand for the facility is calculated, as well as tactical and logistics plans. This new approach not only optimizes the allocation of first response equipment at the highest risk spots, but also regulates the sharing of these capabilities when there is a concentration of these facilities. In this paper, this methodology was applied to a major oil terminal located in a high sensitivity area at Ilha Grande Bay, in Rio de Janeiro. The worst-case scenario was around 6.923 c.m., which allowed the identification of 116 vulnerable receptors. Of these, 02 were identified as having high criticality and, therefore, were prioritized for response planning. The minimum nominal response capability was estimated as being equal to 4.760 m3/day for full deployment condition after the initial 60 hours. This value is about 25% higher than that predicted in facility's existing OSRP. However, with the application of resource sharing rules, the amount of equipment staged on site is equal to only 1298 m3/d, allowing a significant optimization due to logistics processes after the initial 24h.

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