scholarly journals Progress of the Oil Spill Risk Analysis (OSRA) Model and Its Applications

2021 ◽  
Vol 9 (2) ◽  
pp. 195
Author(s):  
Zhen-Gang Ji ◽  
Zhen Li ◽  
Walter Johnson ◽  
Guillermo Auad

The Bureau of Ocean Energy Management (BOEM) is responsible for managing the development of US Outer Continental Shelf (OCS) energy and mineral resources. Because oil spills may occur from offshore oil and gas activities, BOEM conducts oil spill risk analysis (OSRA) prior to oil and gas lease sales. Since the 1970s, BOEM has developed and applied the OSRA model to evaluate the risk of potential oil spills to environmental resources. This paper summarizes some of the OSRA model progress and applications in the past decade: (1) calculation of the risk of catastrophic oil spills (with a volume over one million barrels), which concludes that the return period of a catastrophic oil spill in OCS areas is estimated to be 165 years; (2) a more efficient way to estimate the probability of oil spill contact to environmental resources in the Gulf of Mexico; (3) weathering calculations in OSRA, which enhances the accuracy of the OSRA model results; and (4) application of OSRA to the Ixtoc I oil spill as an example of how the OSRA model simulates large oil spills for oil spill preparedness and response.

2019 ◽  
Vol 7 (2) ◽  
pp. 41 ◽  
Author(s):  
Zhen Li ◽  
Walter Johnson

The oil spill risk analysis (OSRA) model is a tool used by the Bureau of Ocean Energy Management (BOEM) to evaluate oil spill risks to biological, physical, and socioeconomic resources that could be exposed to oil spill contact from oil and gas leasing, exploration, or development on the U.S. Outer Continental Shelf (OCS). Using long-term hindcast winds and ocean currents, the OSRA model generates hundreds of thousands of trajectories from hypothetical oil spill locations and derives the probability of contact to these environmental resources in the U.S. OCS. This study generates probability of oil spill contact maps by initiating trajectories from hypothetical oil spill points over the entire planning areas in the U.S. Gulf of Mexico (GOM) OCS and tabulating the contacts over the entire waters in the GOM. Therefore, a probability of oil spill contact database that stores information of the spill points and contacts can be created for a given set of wind and current data such that the probability of oil spill contact to any environmental resources from future leasing areas can be estimated without a rerun of the OSRA model. The method can be applied to other OCS regions and help improve BOEM’s decision-making process.


2003 ◽  
Vol 2003 (1) ◽  
pp. 943-946
Author(s):  
James F. Bennett ◽  
Walter R. Johnson ◽  
Charles F. Marshall

ABSTRACT This paper examines the potential use of computer models to estimate environmental impacts from oil spills. Computer simulation models for oil spills have long been used for risk analysis and have continually improved over the past few decades. Beyond risk analysis, however, these modeling tools could contribute to the estimation of the environmental impacts such as species mortality and shoreline contact. Proposed activities such as offshore oil and gas exploration and development can be analyzed using models that integrate spill-simulation capability with environmental resource and toxicological data. To estimate the potential use and reasonableness of such models for oil-spill impact analysis, the authors have applied a commercially available state-of-the-art spill model using previously unavailable historical winds and currents data and spill events extracted from the oil-spill record for the Outer Continental Shelf (OCS) in the Gulf of Mexico (GOM). This is one of the first efforts to bring together such complete data sets for modeling effects on so broad a geographic and temporal scale. Such information is valuable in determining the reasonableness and appropriateness of model use for impact analysis of future exploration, development, and production activities.


1989 ◽  
Vol 29 (1) ◽  
pp. 84
Author(s):  
R.P. Warren

A proposal to undertake exploration in the coastal waters adjacent to Sydney/Newcastle/Wollongong has brought strong protests on environmental grounds. This opposition is committed and the basis for it should be considered in the wider context of offshore exploration around Australia. Of the various activities involved in oil and gas exploration the potential impacts of marine seismic surveys and the likelihood of a blowout- related oil spill are those of greatest concern to the media and public.A review of the available literature shows the environmental effects of seismic surveys to be of little consequence provided non- explosive energy sources are used. The effects of an oil spill are heavily dependent on site conditions and the type of oil spilled.The literature shows that direct exposure to spilled oil is fatal to many marine species. However, the potential lethal effects are largely dependent on direct exposure and this declines with the weathering and degradation of the spill. Moreover, the risks of an oil spill occurring as a result of current transportation and handling of oil in coastal waters and points around Australia are much greater than would be presented by drilling an exploratory well.In considering the role of exploration as an assessment procedure rather than a land use it is possible to draw parallels between the conservation status of Australian coastal waters today and the onshore situation some 20 years ago. The offshore oil and gas exploration industry needs to take several measures if it is to avoid denial of access for exploration. These include clearly identifying the environmental effects of exploration as opposed to production, adopting industry- wide codes for environmental practice, and recording and disseminating the industry's environmental performance.


1981 ◽  
Vol 1981 (1) ◽  
pp. 571-575
Author(s):  
Raymond R. Emerson

ABSTRACT Oil spills are one of the major concerns associated with oil and gas development along the outer continental shelf. The U.S. Department of the Interior is presently planning lease sales at the rate of seven per year. Many of these leases are being proposed in areas where the risks associated with oil spills are difficult to assess. The major objective of the decisionmakers in this process is to select a leasing plan from the list of proposed blocks that will offer the maximum production potential within an acceptable level of environmental risk. This objective can be obtained with proper contingency planning which should include site-specific designs. A proposed leasing plan could be limited in its production potential by the habitats more vunerable to a potential oil spill. These areas are identified using a model system developed by the U.S. Geological Survey. In this model, the local meteorology and physical oceanography are coupled to produce trajectories of hypothetical oil spills. These trajectories, along with oil resource estimates, are used to establish overall probabilities of an oil spill contacting specific coastal areas and habitats. Using linear programming techniques, the blocks that can yield the maximum resource recovery within specified limits of environmental risk are identified. Site-specific contingency measures (such as stockpiles of cleanup equipment) concentrated at the more vulnerable habitats will allow the decisionmaker to accept a higher level of environmental risk and significantly increase the number of blocks that are suitable for leasing. A proposed lease sale area for the northeast Gulf of Alaska is used to demonstrate the importance of contingency planning in determining various levels of offshore oil and gas resource development.


2014 ◽  
Vol 2014 (1) ◽  
pp. 26-30
Author(s):  
Patricia Maggi ◽  
Cláudia do Rosário Vaz Morgado ◽  
João Carlos Nóbrega de Almeida

ABSTRACT Brazil has performed an important role in the oil and gas industry mainly because its offshore E&P activities. The volume of oil produced in offshore fields had increased 88% in the last decade and correspond to more than 90% of national production. The maritime Exploration and Production (E&P) operations in Brazil started in the middle of the 1970's. In 1981 a law was promulgated to establish a compulsory environmental permit to many activities, including oil and gas exploration and production activities. Although this regulation has existed for over 25 years, only in 1999 was it effectively brought into force to the E&P sector, with the creation of the oil and gas specialized office integrated to the Intituto Brasileiro de Meio Ambiente e Recursos Naturais Renováveis – IBAMA (Brazilian Federal Environmental Agency). On January 2000 Brazil faced one its worst oil spills, in Guanabara Bay. A broken pipeline owned and operated by Petrobras spilt 1300 tone of bunker fuel into Guanabara Bay, Rio de Janeiro. At that time, Brazil had no clear environmental scenario regarding the oil industry in Brazil: uncoordinated environmental regulations, debilitated environmental agencies and a relapse industry took part in the scenario. As a result of the repercussion of the disaster, in the same year was enacted the Federal Law 9966/2000, the so called “Oil Law”, on the prevention, control and inspection of pollution caused by the releasing of oil and other harmful substances in waters under national jurisdiction. The provisions of the Law 9966 included, among other things, the requirement for the notification to the competent environmental authority, the maritime authority and the oil regulating agency, of any incident which might cause water pollution. Although IBAMA receives the oil spill communications since 2001, only in 2010 the Agency began to include this information in a database. This paper discusses the offshore oil spill data received between 2010 and 2012.


1978 ◽  
Vol 18 (02) ◽  
pp. 87-95 ◽  
Author(s):  
Elmer L. Dougherty ◽  
John Lohrenz

Abstract This study of Outer Continental Shelf (OCS) bid data, plus a critical analysis of other such studies, was made to determine the impact of joint bidding on competitiveness of OCS lease sales, It concludes that no class of joint bids has been shown to reduce the level of competition. Banning joint bidding by two or more major oil companies did result in an abrupt increase in the number of pint bids that included one major. Introduction Sealed, competitive bids for U.S. offshore oil and gas leases are classed as either solo or joint bids. Solo bids are submitted by one bidder with 100-percent ownership. Joint bids are submitted by several bidders who divide ownership among themselves. The pragmatic question that triggered this study was, "Is there a kind of solo or joint bid whose occurrence tends to decrease the number of sealed, competitive bids?" Such a bid would lower the level of competition. This study reports the results of a statistical analysis to measure the impact of joint bidding on the level of competition in sales of U.S. oil and gas leases. The study first presumed that the level of competition increases as the number of competing bids increases. This presumption while not unassailable, also was not unreasonable. Three previous studies of solo and joint bidding were reviewed first, revealing that conclusions drawn by two of the studies are statistically unsupported. Our study of the pragmatic question found no consistent correlation supporting a positive answer to the question. The U.S. policy regulation proscribing joint bids involving two or more majors tended to broaden the proportion and number of bids involving majors. REVIEW OF PREVIOUS STUDIES OF FEDERAL OFFSHORE SOLO AND JOINT BIDS Joint bidding for U.S. offshore oil and gas leases has been seated in previous studies of which three will be reviewed in detail. GASKINS AND VANN Gaskins and Vann computed values of the ratio of the sum of the highest bids to the sum of the U.S. presale estimates, Fmax/est, for leases that presale estimates, Fmax/est, for leases that received the same number(s) of bids. Precise definition of Fmax/est is given in the Nomenclature. Gaskins and Vann observed that values of F increased with n, from which they concluded the "government gets a larger percentage of its estimated value when there are more bidders." For the March 28, 1974, sale, Gaskins and Vann calculated Fmax/est for four different categories of highest bids:all bids,bids in which only nonmajors were involved,bids in which one or more majors were involved, andbids in which Mobil Oil Corp. was a participant. (No list was given of which bidders are classed as major.) Values of Fmax/est when majors and/or Mobil were involved in the highest bid were more often lower than for the other categories of highest bids. From this, Gaskins and Vann concluded that the "data support the hypothesis that major oil companies, and Mobil in particular, were able to attain lower winning bids..." We recalculated values of F,../est for the March 28, 1974, sale. These are shown in Table 12 along with comparable values of Fm../mean and Fmean/est. The agreement between values of Fmax/est presented by Gaskins and Vann and in Table 1 is excellent in most cases. Some of the differences, however, may be explained by differing definitions of majors. We considered these eight companies as major: Amoco International Oil Co., British Petroleum Ltd., Chevron U.S.A. Inc., Exxon Corp., Gulf Oil Corp., Mobil Oil Corp., Shell Oil Co., Texaco Inc. Other differences may be caused by disagreements in source data and/or computations.


Author(s):  
Nicola Paltrinieri ◽  
Gabriele Landucci ◽  
Pierluigi Salvo Rossi

Recent major accidents in the offshore oil and gas (O&G) industry have showed inadequate assessment of system risk and demonstrated the need to improve risk analysis. While direct causes often differ, the failure to update risk evaluation on the basis of system changes/modifications has been a recurring problem. Risk is traditionally defined as a measure of the accident likelihood and the magnitude of loss, usually assessed as damage to people, to the environment, and/or economic loss. Recent revisions of such definition include also aspects of uncertainty. However, Quantitative Risk Assessment (QRA) in the offshore O&G industry is based on consolidated procedures and methods, where periodic evaluation and update of risk is not commonly carried out. Several methodologies were recently developed for dynamic risk analysis of the offshore O&G industry. Dynamic fault trees, Markov chain models for the life-cycle analysis, and Weibull failure analysis may be used for dynamic frequency evaluation and risk assessment update. Moreover, dynamic risk assessment methods were developed in order to evaluate the risk by updating initial failure probabilities of events (causes) and safety barriers as new information are made available. However, the mentioned techniques are not widely applied in the common O&G offshore practice due to several reasons, among which their complexity has a primary role. More intuitive approaches focusing on a selected number of critical factors have also been suggested, such as the Risk Barometer or the TEC2O. Such techniques are based on the evaluation of technical, operational and organizational factors. The methodology allows supporting periodic update of QRA by collecting and aggregating a set of indicators. However, their effectiveness relies on continuous monitoring activity and realtime data capturing. For this reason, this contribution focuses on the coupling of such methods with sensors of different nature located in or around and offshore O&G system. The inheritance from the Centre for Integrated Operations in the Petroleum Industries represents the basis of such study. Such approach may be beneficial for several cases in which (quasi) real-time risk evaluation may support critical operations. Two representative cases have been described: i) erosion and corrosion issues due to sand production; and ii) oil production in environmental sensitive areas. In both the cases, dynamic risk analysis may employ real-time data provided by sand, corrosion and leak detectors. A simulation of dynamic risk analysis has demonstrated how the variation of such data can affect the overall risk picture. In fact, this risk assessment approach has not only the capability to continuously iterate and outline improved system risk pictures, but it can also compare its results with sensor-measured data and allow for calibration. This can potentially guarantee progressive improvement of the method reliability for appropriate support to safety-critical decisions.


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