scholarly journals Past In Situ Burning Possibilities

1999 ◽  
Vol 1999 (1) ◽  
pp. 1275-1278
Author(s):  
Gary Yoshioka ◽  
Eva Wong ◽  
Beverly Grossman ◽  
Wendy Drake ◽  
Robert W. Urban ◽  
...  
Keyword(s):  
Phase I ◽  
Phase Ii ◽  
Oil Spills ◽  
Geographic Location ◽  
Weather Conditions ◽  
Populated Area ◽  
Sea Temperature ◽  
Oil Type ◽  
Phase Ii Analysis

ABSTRACT This study evaluates the feasibility of conducting in situ burning (ISB) on past major oil spills (i.e., spills since 1967 over 10,000 barrels in North America and over 50,000 barrels in South America and Europe) using current technology. A diverse set of 141 spills representing various combinations of parameters affecting spill response (e.g., spill size, oil type, weather conditions, sea temperature, and geographic location) initially were evaluated using four “Phase I” criteria: distance to populated area, oil weathering, logistics, and weather conditions. In Phase I, a spill that failed to meet one of the four criteria was considered an “unsuccessful” candidate for ISB. Spills that met all four criteria were further evaluated using a “Phase II” analysis that applied additional criteria and considered individual spill circumstances to determine if the spill should be rated a “successful,” “marginal call,” or “unsuccessful” ISB candidate. In total, 47 of the 141 spills passed the Phase I analysis. Fourteen spills were ultimately determined successful in the Phase II analysis, and 12 were designated marginal calls. Proximity to populated areas was the most significant of the four Phase I criteria; 59 of the 141 spills did not pass Phase I because the incident occurred near a sizable city.

HISTORICAL DISPERSANT AND IN-SITU BURNING OPPORTUNITIES IN THE UNITED STATES

1997 ◽  
Vol 1997 (1) ◽  
pp. 805-810
Author(s):  
Janet H. Kucklick ◽  
Don Aurand
Keyword(s):  
United States ◽  
Crude Oil ◽  
Water Depth ◽  
Oil Spills ◽  
Weather Conditions ◽  
The United States ◽  
Refined Oil ◽  
Marine Oil Spills ◽  
Oil Type

ABSTRACT Evaluating the value of using dispersants or in-situ burning in various regions of the United States requires an estimate of how often such technology might reasonably be considered. This study collected information on marine oil spills of 1000 barrels or more occurring in the coastal and offshore waters of the United States (excluding Alaska) from 1973 through June 1994. Each incident was examined using criteria for oil type, weather conditions, water depth, and distance from the shoreline. This allowed the frequency and geographic distribution of dispersible and burnable spills to be estimated. The effect of modifying the criteria on the frequency distribution of dispersible and burnable spills was evaluated. Data were obtained on 138 refined product and 69 crude oil spills. The majority of these spills occurred in shallow water, close to the shoreline, and/or close to a sensitive receptor. Depending on the severity of the criteria, between 10% and 51% of the crude oil spills and 4% and 18% of the refined oil spills studied were realistic candidates for dispersant use. Between 35% and 58% of the crude and 22% and 38% of the refined oil spills were realistic candidates for burning.

Deep super resolution crack network (SrcNet) for improving computer vision–based automated crack detectability in in situ bridges

2020 ◽  
pp. 147592172091722
Author(s):  
Hyunjin Bae ◽  
Keunyoung Jang ◽  
Yun-Kyu An
Keyword(s):  
Computer Vision ◽  
Deep Learning ◽  
Phase I ◽  
Phase Ii ◽  
Crack Detection ◽  
Digital Images ◽  
Super Resolution ◽  
Pixel Resolution ◽  
Crack Network

This article proposes a new end-to-end deep super-resolution crack network (SrcNet) for improving computer vision–based automated crack detectability. The digital images acquired from large-scale civil infrastructures for crack detection using unmanned robots often suffer from motion blur and lack of pixel resolution, which may degrade the corresponding crack detectability. The proposed SrcNet is able to significantly enhance the crack detectability by augmenting the pixel resolution of the raw digital image through deep learning. SrcNet basically consists of two phases: phase I—deep learning–based super resolution (SR) image generation and phase II—deep learning–based automated crack detection. Once the raw digital images are obtained from a target bridge surface, phase I of SrcNet generates the corresponding SR images to the raw digital images. Then, phase II automatically detects cracks from the generated SR images, making it possible to remarkably improve the crack detectability. SrcNet is experimentally validated using the digital images obtained using a climbing robot and an unmanned aerial vehicle from in situ concrete bridges located in South Korea. The validation test results reveal that the proposed SrcNet shows 24% better crack detectability compared to the crack detection results using the raw digital images.

scholarly journals High-Pressure Behaviors of Ag2S Nanosheets: An in Situ High-Pressure X-Ray Diffraction Research

Nanomaterials ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1640
Author(s):  
Ran Liu ◽  
Bo Liu ◽  
Quan-Jun Li ◽  
Bing-Bing Liu
Keyword(s):  
High Pressure ◽  
Phase I ◽  
Phase Ii ◽  
Structural Phase ◽  
Phase Iii ◽  
X Ray Diffraction ◽  
X Ray ◽  
Structure Phase ◽  
Ag2s Nanoparticles

An in situ high-pressure X-ray diffraction study was performed on Ag2S nanosheets, with an average lateral size of 29 nm and a relatively thin thickness. Based on the experimental data, we demonstrated that under high pressure, the samples experienced two different high-pressure structural phase transitions up to 29.4 GPa: from monoclinic P21/n structure (phase I, α-Ag2S) to orthorhombic P212121 structure (phase II) at 8.9 GPa and then to monoclinic P21/n structure (phase III) at 12.4 GPa. The critical phase transition pressures for phase II and phase III are approximately 2–3 GPa higher than that of 30 nm Ag2S nanoparticles and bulk materials. Additionally, phase III was stable up to the highest pressure of 29.4 GPa. Bulk moduli of Ag2S nanosheets were obtained as 73(6) GPa for phase I and 141(4) GPa for phase III, which indicate that the samples are more difficult to compress than their bulk counterparts and some other reported Ag2S nanoparticles. Further analysis suggested that the nanosize effect arising from the smaller thickness of Ag2S nanosheets restricts the relative position slip of the interlayer atoms during the compression, which leads to the enhancing of phase stabilities and the elevating of bulk moduli.

In-Situ Fatigue Prediction of Direct Laser Deposition Parts Based on Thermal Profile

2019 ◽  
Author(s):  
Seyyed Hadi Seifi ◽  
Wenmeng Tian ◽  
Aref Yadollahi ◽  
Haley Doude ◽  
Linkan Bian
Keyword(s):  
Fatigue Life ◽  
Additive Manufacturing ◽  
Phase I ◽  
Phase Ii ◽  
Thermal History ◽  
Laser Deposition ◽  
Thin Wall ◽  
Direct Laser Deposition ◽  
Direct Laser

Abstract Additive manufacturing (AM) is a novel fabrication technique which enables production of very complex designs that are not feasible through conventional manufacturing techniques. However, one major barrier against broader adoption of additive manufacturing processes is concerned with the quality of the final products, which can be measured as presence of internal defects, such as pores and cracks, affecting the mechanical properties of the fabricated parts. In this paper, a data-driven methodology is proposed to predict the size and location of porosities based on in-situ process signatures, i.e. thermal history. Size as well as location of pores highly affect the resulted fatigue life where near-surface and large pores, compared to inner or small pores, significantly reduces the fatigue life. Therefore, building a model to predict the porosity size and location will pave the way toward building an in-situ prediction model for fatigue life which would drastically influence the additive manufacturing community. The proposed model consists of two phases: in Phase I, a model is established to predict the occurrence and location of small and large pores based on the thermal history; and subsequently, a fatigue model is trained in Phase II to predict the fatigue life based on porosity features predicted from Phase I. The model proposed in Phase I is validated using a thin wall fabricated by a direct laser deposition process and the Phase II model is validated based on fatigue life simulations. Both models provide promising results that can be further studied for functional outcomes.

scholarly journals The Influence of Disease Severity of Preceding Clinical Cases on Pathologists’ Medical Decision Making

2016 ◽  
Vol 37 (1) ◽  
pp. 91-100 ◽  
Author(s):  
Paul D. Frederick ◽  
Heidi D. Nelson ◽  
Patricia A. Carney ◽  
Tad T. Brunyé ◽  
Kimberly H. Allison ◽  
...  
Keyword(s):  
Decision Making ◽  
Phase I ◽  
Disease Severity ◽  
Phase Ii ◽  
Medical Decision Making ◽  
Breast Biopsy ◽  
Ductal Carcinoma ◽  
Medical Decision ◽  
Preceding Case

Background. Medical decision making may be influenced by contextual factors. We evaluated whether pathologists are influenced by disease severity of recently observed cases. Methods. Pathologists independently interpreted 60 breast biopsy specimens (one slide per case; 240 total cases in the study) in a prospective randomized observational study. Pathologists interpreted the same cases in 2 phases, separated by a washout period of >6 months. Participants were not informed that the cases were identical in each phase, and the sequence was reordered randomly for each pathologist and between phases. A consensus reference diagnosis was established for each case by 3 experienced breast pathologists. Ordered logit models examined the effect the pathologists’ diagnoses on the preceding case or the 5 preceding cases had on their diagnosis for the subsequent index case. Results. Among 152 pathologists, 49 provided interpretive data in both phases I and II, 66 from only phase I, and 37 from phase II only. In phase I, pathologists were more likely to indicate a more severe diagnosis than the reference diagnosis when the preceding case was diagnosed as ductal carcinoma in situ (DCIS) or invasive cancer (proportional odds ratio [POR], 1.28; 95% confidence interval [CI], 1.15–1.42). Results were similar when considering the preceding 5 cases and for the pathologists in phase II who interpreted the same cases in a different order compared with phase I (POR, 1.17; 95% CI, 1.05–1.31). Conclusion. Physicians appear to be influenced by the severity of previously interpreted test cases. Understanding types and sources of diagnostic bias may lead to improved assessment of accuracy and better patient care.

scholarly journals New Norwegian Policy on Use of Dispersants

2003 ◽  
Vol 2003 (1) ◽  
pp. 273-274 ◽  
Author(s):  
Ann Mari Vik
Keyword(s):  
Pollution Control ◽  
Oil Spills ◽  
Weather Conditions ◽  
Environmental Benefit ◽  
Contingency Plan ◽  
Oil Spill Response ◽  
Control Authority ◽  
Or Organization ◽  
Oil Company ◽  
Oil Type

ABSTRACT On the 1st of January 2002 the Norwegian Ministry of Environment introduced new regulations regarding the use of dispersants in oil spill response at sea. The Norwegian policy is to allow the use of dispersants when this means of response gives the best environmental results. Compared with former regulations this extends the possibilities of using a broader range of combat methods well suited for different spill scenarios. A thorough analysis has to be done in advance and the criteria for use must be documented in a contingency plan. Specific tests are required to make sure the dispersants are low toxic and effective (oil type specific). The regulations state that use of dispersants is prohibited unless well planned and documented. Whenever an oil company or other enterprises handling considerable amounts of oil, plans to use dispersants as a means of combat, the Norwegian Pollution Control Authority will consider the criteria for use described in their contingency plan. In oil spills where use of dispersants is not pre-planned the polluter or organization in charge of the operation at sea has to apply to the Norwegian Pollution Control Authority to get permission to disperse. This application has to include weather conditions, water depth, oil type, toxicity and effectiveness of the dispersant, and a Net Environmental Benefit Analyze. The large amount of documentation required compared with the short windows of opportunity means that in practice the use of dispersants has to be pre planned to be successful.

Effective Planning for Dispersant Operations – Making Decisions, Analyzing Options and Establishing Capability

2017 ◽  
Vol 2017 (1) ◽  
pp. 2791-2810
Author(s):  
Thomas Coolbaugh ◽  
Andy Nicoll ◽  
Aaron Montgomery ◽  
Geeva Varghese ◽  
Lucy Heathcote
Keyword(s):  
Decision Making ◽  
Oil Spill ◽  
Planning Process ◽  
Oil Spills ◽  
Weather Conditions ◽  
Incident Management ◽  
Environmental Benefit ◽  
Adverse Weather ◽  
Dispersant Effectiveness ◽  
Oil Type

ABSTRACT Within the oil spill response community, dispersant use is considered to be a key tool for the treatment and mitigation of oil spills. As a response technique, the benefits of dispersant application have been long proven, particularly in the case of large offshore spills such as those associated with the Sea Empress (UK, 1996), Montara (Australia, 2009) and Macondo (USA, 2010) incidents. Compared to other spill response techniques, dispersant application has less operational constraints associated with adverse weather conditions and can be rapidly applied from an aerial platform for larger spills far offshore. These reasons render dispersant application a critical tool in the toolbox for many offshore operators. Developing a successful dispersant application strategy requires comprehensive planning. For an offshore operator with a subsea well blowout risk, a number of elements should be carefully considered to ensure the successful execution of the dispersant application strategy. The decision making process should include a detailed evaluation of the oil type, release scenario and location, and the consideration of these parameters against the larger environmental and socio-economic needs of the stakeholder community. Once dispersant application is established to be a viable response option using a process such as Net Environmental Benefit Analysis (NEBA), the operator also needs to ensure that it is adequately resourced in terms of application platforms (vessel vs aircraft), monitoring techniques and supporting logistics. Well planned and detailed operational strategies are critical for successful subsea and surface dispersant operations, especially in the unlikely event of a large offshore spill. This paper summarizes the various operational considerations an offshore operator needs to assess during the preparedness stage for developing a viable dispersant application strategy. Drawing on the authors’ experiences in developing and implementing various preparedness projects globally, the different aspects of the dispersant planning process, including oil spill modelling to support decision making, ascertaining dispersant effectiveness for the oil type, selecting appropriate application techniques, establishing necessary logistical support and the setting up of an incident management team to support dispersant operations, will be discussed in detail. The goal of the paper is to build upon prior dispersant strategy discussions and provide an operationally focused blueprint for planning and implementing an effective dispersant application strategy in support of offshore operations.

Bewegungstherapie und körperliche Aktivität bei Patienten mit Herzinsuffizienz

Praxis ◽  
2018 ◽  
Vol 107 (17-18) ◽  
pp. 951-958 ◽  
Author(s):  
Matthias Wilhelm
Keyword(s):  
Phase I ◽  
Phase Ii ◽  
Körperliche Aktivität ◽  
Phase Iii

Zusammenfassung. Herzinsuffizienz ist ein klinisches Syndrom mit unterschiedlichen Ätiologien und Phänotypen. Die überwachte Bewegungstherapie und individuelle körperliche Aktivität ist bei allen Formen eine Klasse-IA-Empfehlung in aktuellen Leitlinien. Eine Bewegungstherapie kann unmittelbar nach Stabilisierung einer akuten Herzinsuffizienz im Spital begonnen werden (Phase I). Sie kann nach Entlassung in einem stationären oder ambulanten Präventions- und Rehabilitationsprogramm fortgesetzt werden (Phase II). Typische Elemente sind Ausdauer-, Kraft- und Atemtraining. Die Kosten werden von der Krankenversicherung für drei bis sechs Monate übernommen. In erfahrenen Zentren können auch Patienten mit implantierten Defibrillatoren oder linksventrikulären Unterstützungssystemen trainieren. Wichtiges Ziel der Phase II ist neben muskulärer Rekonditionierung auch die Steigerung der Gesundheitskompetenz, um die Langzeit-Adhärenz bezüglich körperlicher Aktivität zu verbessern. In Phase III bieten Herzgruppen Unterstützung.

Sign in / Sign up

Export Citation Format

Share Document