COMPUTER SIMULATION OF OFFSHORE OIL-SPILL CLEANUP OPERATIONS

1975 ◽  
Vol 1975 (1) ◽  
pp. 293-300
Author(s):  
R. A. Cochran ◽  
G. A. Manney ◽  
J. P. Fraser
Keyword(s):  
Computer Simulation ◽  
Wave Height ◽  
Oil Spill ◽  
Oil Recovery ◽  
Random Access ◽  
Weather Conditions ◽  
Weather Data ◽  
Wave State ◽  
Oil Spill Cleanup ◽  
Probabilistic Nature

ABSTRACT A computer simulation program has been developed to aid in the evaluation of the oil-spill contingency plans for offshore operations. Using this program, the performance of oil-spill recovery equipment can be simulated as a function of oil-spill size, spill location, and weather. The unique feature of the program is its ability to predict oil recovery as a function of weather conditions. The weather data used consist of the historical wave height frequency distribution and wave height persistence. The oil thickness, which is determined by spreading of the oil, and the wave state determine the performance of recovery equipment. When using the program, oil-spill events and cleanup operations are simulated many times. Each time the weather conditions used in the simulation will be different, owing to the probabilistic nature of weather in the real world and the use of random access to the weather data. In this way a probabilistic estimate of oil recovery is produced for any given oil-spill incident and equipment array. Simulations are presented using state-of-the-art equipment, although the use of improved equipment can be simulated. The results show the need for rapid response and for containment for sudden spills due to the rapid thinning of uncontained oil.

scholarly journals Analysis of The Impact of Weather Conditions on the Effectiveness of Oil Spill Recovery Operation in Simulated Conditions (Pisces II)

2017 ◽  
Vol 24 (1) ◽  
pp. 315-326
Author(s):  
Dorota Jarząbek ◽  
Wiesław Juszkiewicz
Keyword(s):  
Computer Simulation ◽  
Crude Oil ◽  
Oil Spill ◽  
Oil Recovery ◽  
Oil Spills ◽  
Weather Conditions ◽  
The Impact ◽  
Relevant Experiment

Abstract The ability to use computer simulation to predict the behavior of oil spills at sea enables better use of available personnel and resources to combat such spills. The use of oil collecting equipment properly selected to suit the conditions is essential for the operation to be effective. Therefore, an attempt is made to verify the influence of weather conditions on the efficiency of oil recovery. Three types of spilled crude oil were simulated. A relevant experiment was conducted on a PISCES II oil spill simulator.

A Survey of Classical and New Response Methods for Marine Oil Spill Cleanup

1994 ◽  
Vol 31 (02) ◽  
pp. 79-93
Author(s):  
Emilio A. Tsocalis ◽  
Thomas W. Kowenhoven ◽  
Anastassios N. Perakis
Keyword(s):  
Oil Spill ◽  
Oil Recovery ◽  
Heavy Oil ◽  
Heavy Oil Recovery ◽  
New Materials ◽  
Marine Oil ◽  
Methods And Techniques ◽  
Oil Spill Response ◽  
Oil Spill Cleanup

Both classical and new marine oil spill cleanup response methods and techniques are discussed. The intention is mainly to answer the fundamental questions of when, where, and how to apply the different methods. A brief review of the stages of the oil spill response problem is first presented, followed by the factors that influence the different methods. This is followed by an analysis of some new cleanup methods and improvements to existing methods, specifically: bioremediation, the use of more efficient ships for skimming, the use of fishing nets for heavy oil recovery, and new materials and designs of sorbents. Some cases are also analyzed to evaluate the performance of some methods under real conditions.

COMBATING OIL WITH SIDE-FITTED SWEEPING BOOMS

1987 ◽  
Vol 1987 (1) ◽  
pp. 109-110
Author(s):  
Erling Blomberg
Keyword(s):  
Boundary Layers ◽  
Oil Spill ◽  
Oil Recovery ◽  
Oil Spill Cleanup

ABSTRACT Oil spill cleanup systems using side-fitted sweeping booms are developed to operate offshore with minimal requirements for vessels and personnel. The system takes advantage of the boundary layers created by the oil recovery vessel, thus simplifying the handling of booms, skimmers, and the oil recovery operation itself.

Hydrophobic modification of polypropylene/starch blend foams through tailoring cell diameter for oil-spill cleanup

RSC Advances ◽  
2016 ◽  
Vol 6 (85) ◽  
pp. 82088-82095 ◽  
Author(s):  
Mingzhi Xu ◽  
Junjia Bian ◽  
Changyu Han ◽  
Lisong Dong
Keyword(s):  
Oil Spill ◽  
Oil Recovery ◽  
Cell Diameter ◽  
Recovery Efficiency ◽  
Hydrophobic Modification ◽  
Oil Spill Cleanup

PP/starch blend foams with good hydrophobicity and oil recovery efficiency were prepared by tailoring cell diameter without involving any chemicals.

scholarly journals South Baltic Oil Spill Response Project (SBOIL)—Development and Implementation of Models of Drift and Fall Trajectories of Biogenic Oil Binders

2021 ◽  
Vol 13 (17) ◽  
pp. 9889
Author(s):  
Fokke Saathoff ◽  
Marcus Siewert ◽  
Marcin Przywarty ◽  
Mateusz Bilewski ◽  
Bartosz Muczyński ◽  
...  
Keyword(s):  
Oil Spill ◽  
Oil Recovery ◽  
Oil Spills ◽  
New Technology ◽  
Weather Conditions ◽  
Current Response ◽  
Adverse Weather ◽  
Recovery System ◽  
Oil Spill Response

This paper presents the methodology, assumptions, and functionalities of an application developed during the realization of the project “South Baltic Oil Spill Response through Clean-up with Biogenic Oil Binders” (SBOIL). The SBOIL project is a continuation of the BioBind project, the primary goal of which was to develop and deploy an oil recovery system designed for use in coastal waters and adverse weather conditions. The goal of the SBOIL project was to use this new technology to improve the current response capabilities for cross-border oil spills. The developed application allows for the determination of the position of an aircraft at the time of dropping the oil binders, the determination of the oil binders’ position after falling in terms of a specific aircraft’s position, the determination of the position of oil binders after a certain time in order to plan the action of recovering it from the water surface, and the determination of the time when the binders will be in their assumed position.

INJECTION OF OIL SPILL CHEMICALS INTO A BLOWING WELL

1987 ◽  
Vol 1987 (1) ◽  
pp. 335-339
Author(s):  
Tore Audunson ◽  
Øistein Johansen ◽  
Johnny Koines
Keyword(s):  
Response Time ◽  
Oil Spill ◽  
Research Program ◽  
Weather Conditions ◽  
Sensitive Areas ◽  
Arctic Regions ◽  
Special Value ◽  
Oil Spill Cleanup

ABSTRACT As part of the research program Dispersion of Oil on Sea (DOOS), a subproject has been carried out to develop an all-weather method for oil spill cleanup. The aim of the subproject was to evaluate the possibility of injecting oil spill chemicals into a blowing well. Different completion systems were studied as well as different methods for injection of chemicals. The idea behind the method is to improve the oil spill situation by reducing the response time as well as by providing a method usable in all weather conditions. The method will be of special value for wells located near the coast or in other sensitive areas (e.g., arctic regions). The work concludes that it is possible, and with only a limited need for development of new equipment, to inject chemicals into a blowing well. The injection should be done in the annulus, or through a separate tube. From the annulus the chemical will be inserted into the tubing through a valve.

CONTAINMENT AND RECOVERY TECHNIQUES FOR COLD WEATHER, INLAND OIL SPILLS

1979 ◽  
Vol 1979 (1) ◽  
pp. 345-353 ◽  
Author(s):  
Alan A. Allen
Keyword(s):  
Oil Spill ◽  
Oil Spills ◽  
Ground Surface ◽  
Weather Conditions ◽  
Cold Weather ◽  
Recovery Techniques ◽  
Spill Control ◽  
Training Exercises ◽  
Ice Water ◽  
Oil Spill Cleanup

ABSTRACT The maintenance of an around-the-clock oil spill cleanup service in Alaska offers an unusual opportunity to develop and test a variety of oil spill containment and recovery techniques. The experiences during numerous actual cleanup efforts, together with the results of training exercises on snow, ice, water, and land, provide valuable information for those faced with the potential spillage of oil during cold-weather conditions. Off-the-shelf cleanup equipment and materials can frequently be modified or used in a slightly different mode to achieve effective spill control under subzero temperatures on, in, and beneath ice and snow. Monitoring the fate and behavior of several types of oil under such real-world conditions also provides quantitative data leading to the development of innovative spill control techniques which emphasize the use of naturally found materials at the site of a spill. Such techniques involve snow berms, cross-river ice cuts, induced ground-surface leaching with snow, various damming and trenching methods, surface flooding, absorption of pooled oil with snow, and the construction of various types of filter fences and diversionary booms.

A Regression Model to Estimate Baseline Use of a Recreation Area Following an Oil Spill

2001 ◽  
Vol 2001 (1) ◽  
pp. 219-223
Author(s):  
Richard W. Dunford ◽  
Tori H. Knight
Keyword(s):  
Regression Model ◽  
Oil Spill ◽  
Weather Conditions ◽  
The State ◽  
Recreation Area ◽  
Baseline Levels ◽  
The Difference ◽  
Recreation Use ◽  
Oil Spill Cleanup ◽  
Controversial Aspect

ABSTRACT Recreation losses resulting from an oil spill are based on the difference between the recreation use that would have occurred in the absence of the spill (i.e., baseline use) and the recreation use that actually occurs following the spill, (i.e., with-injury use). Thus, recreation losses end when actual recreation use returns to baseline levels. Since baseline recreation use is unobserved, by definition, estimating baseline recreation use is an important, and usually controversial, aspect of assessing recreation losses. This paper presents the authors' approach for estimating baseline recreation use of a coastal state park in Texas following a February 1995 oil spill in the Gulf of Mexico. They had daily visitation estimates for the park for all of February and March in 1994 and 1995. Unfortunately, the weather during these months in 1995 was colder, wetter, and windier than the weather in 1994. Thus, the authors could not use the 1994 visitation estimates as a proxy for 1995 baseline visitation at the state park because the 1995 baseline visitation would have been lower than 1994 visitation as a result of poorer weather conditions. Since the authors could not use 1994 visitation estimates as a proxy for 1995 baseline visitation, they developed a regression model to estimate 1995 baseline visitation as a function of variables such as weather conditions (e.g., temperature, amount of sunshine, and precipitation), day of the week, week in the period, and oil-spill cleanup days. The results of their regression model indicate that visits to the state park returned to baseline levels about a week after the cleanup was completed. Their model reveals that almost half of the reduction in 1995 visits to the state park was a result of poor weather conditions, not the oil spill. Finally, the model also suggests that some of the forgone visits immediately following the oil spill were simply postponed, rather than lost.

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