Introducing New Concepts in Red Zone Management

2021 ◽  
Author(s):  
Ola Balbaa ◽  
Sherif Elkholy ◽  
Mohamed ElRashidy ◽  
Robert Munger ◽  
Joost Lasschuit ◽  
...  

Abstract As red zone management continues to be one of the most challenging risks on different types of drilling rigs, a Combined Operator Contractor Pilot was launched by Helin Data on a Maersk Drilling offshore rig contacted for bp Egypt that was operating in the Mediterranean for 10 years drilling and completing deep water HPHT wells aiming to integrate efficient drilling operations along with maximized safety. The Red Zone Management Pilot system is composed of two main scopes; monitoring and detecting people and equipment on the drill floor using advanced video analytics technology and subsequently developing new technology to include alarmed movement of prime moving/hoisting drill floor equipment. The Helin Data pilot system demonstrates full insight of both personnel and equipment movement in the red zone. In addition, the team looked to further reduce dropped objects related risks using hydraulic wireline winches. This was achieved by installing digital load cells on drill floor tuggers. Remote winch operation with load cells effectively mitigates overpull incidents and associated risks, while involving less persons in the red zone. The pilot project brought simple concepts together with successful results on raising situational awareness on the drill floor and reducing human error, the presentation focuses on the project's functionalities, main challenges and detailed system implementation phases.

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Mirjam Pot ◽  
Nathalie Kieusseyan ◽  
Barbara Prainsack

AbstractThe application of machine learning (ML) technologies in medicine generally but also in radiology more specifically is hoped to improve clinical processes and the provision of healthcare. A central motivation in this regard is to advance patient treatment by reducing human error and increasing the accuracy of prognosis, diagnosis and therapy decisions. There is, however, also increasing awareness about bias in ML technologies and its potentially harmful consequences. Biases refer to systematic distortions of datasets, algorithms, or human decision making. These systematic distortions are understood to have negative effects on the quality of an outcome in terms of accuracy, fairness, or transparency. But biases are not only a technical problem that requires a technical solution. Because they often also have a social dimension, the ‘distorted’ outcomes they yield often have implications for equity. This paper assesses different types of biases that can emerge within applications of ML in radiology, and discusses in what cases such biases are problematic. Drawing upon theories of equity in healthcare, we argue that while some biases are harmful and should be acted upon, others might be unproblematic and even desirable—exactly because they can contribute to overcome inequities.


1989 ◽  
Vol 33 (15) ◽  
pp. 999-1003
Author(s):  
Ron W. Wardell

Safety analyses of drilling operations are often written from the perspectives of regulation, economics, industry structure, etc. The ergonomic perspective on safety emphasizes that equipment and operations should be designed in light of human capabilities and limitations. To demonstrate this approach a scenario analysis was performed on records for 134 safety incidents on oilwell drilling rigs. The characteristics of the most critical scenarios were then considered to determine the extent to which the ergonomics of environment, equipment, and work methods might have contributed. Ergonomic data was collected at four drilling sites, including a prototype semi-automated rig. From both ergonomic and safety perspectives, the work situation of operators on a conventional rig floor is most in need of remediation. Mechanical pipe handling would provide the most complete solution to this unpleasant and unsafe environment, its strenuous and over-extending tasks, and the risks inherent in putting people near heavy moving objects. Significant improvements can be made at the detail level and at minimum cost in some tasks. Improvement in other tasks requires basic conceptual changes in rig systems and architecture. To realize their potential, new rig concepts must be carefully and systematically designed, and ergonomics should be considered throughout their design.


Author(s):  
Hassan Shojaee-Mend ◽  
Haleh Ayatollahi ◽  
Azam Abdolahadi

Abstract Objective Developing an ontology can help collecting and sharing information in traditional medicine including Persian medicine in a well-defined format. The present study aimed to develop an ontology for gastric dystemperament in the Persian medicine. Methods This was a mixed-methods study conducted in 2019. The first stage was related to providing an ontology requirements specification document. In the second stage, important terms, concepts, and their relationships were identified via literature review and expert panels. Then, the results derived from the second stage were refined and validated using the Delphi method in three rounds. Finally, in the fourth stage, the ontology was evaluated in terms of consistency and coherence. Results In this study, 241 concepts related to different types of gastric dystemperament, diagnostic criteria, and treatments in the Persian medicine were identified through literature review and expert panels, and 12 new concepts were suggested during the Delphi study. In total, after performing three rounds of the Delphi study, 233 concepts were identified. Finally, an ontology was developed with 71 classes, and the results of the evaluation study revealed that the ontology was consistent and coherent. Conclusion In this study, an ontology was created for gastric dystemperament in the Persian medicine. This ontology can be used for designing future systems, such as case-based reasoning and expert systems. Moreover, the use of other evaluation methods is suggested to construct a more complete and precise ontology.


Author(s):  
Kadole Pavan Prabhakar ◽  
Choudhury Rajat Kumar Pattnaik ◽  
Akash Kumar Nath ◽  
Aditya Dubey ◽  
KM Vishall Somaiya

This work is based on Design of a transport line conveyor belt for sorting and arranging products based on their height using the IR sensors for detecting the object and mechanism to drive the conveyor belt. The project is locally controlled by the use of Arduino based embedded system. The automatic sorting and arranging machine are used to sort the different types of products based on the product height. This automation significantly reduces the time required for manual sorting in the production line of small/medium scale industries and hence it also decreases the percentage of human error during sorting/arranging. The products are placed on the transport line conveyor system and as it moves on the conveyor it is scanned by the IR sensor, depending on the height of the product these will be sorted into different bins automatically.


2020 ◽  
pp. 179-184
Author(s):  
Fan Yuanyuan ◽  
Elena N. Tarasova

The article considers the features of working with grammatical homonyms at Russian as a foreign language lessons in the Chinese audience; special attention is paid to comparing grammatical homonymy in Russian and Chinese. The authors make an attempt to systematize different types of homonyms in Russian and Chinese languages, give examples of using a new technology – mind-maps, offer in teaching Russian grammar to Chinese students a system of exercises based on different types of speech activity.


The complexity of human olfaction is very high and the importance of being able to measure it directly, objectively and qualitatively has led experts to search for mechanisms that can be applied. Human beings use this sense, which is one of the oldest, to recognize danger and distinguish between pleasant and unpleasant odors. Smells are mixtures of molecules that, at different concentrations in the inhaled air, stimulate the olfactory area and are recognized at the brain level. Therefore, there is a coding and decoding system. Human olfactometer techniques use equipment designed to be able to measure its intensity and quality of volatile substances. If we are able to measure this sense, we will be able to know its variations and be able to make clinical diagnoses in normal and pathological conditions and diagnose the losses that occur in certain infectious, degenerative diseases, traumatic processes and other variants. For many years, systems have been developed that can measure subjective olfaction in humans, as well as objective forms, but it is also true that there is no equipment available that is fast, simple handling and that can be applied in daily clinical services. Aim of the Study Present the recent achievements in olfactometer technology; Elaborate the scientific articles about olfactometry published mainly in the last 10 years; To gather the information published in the last years in relation to the usefulness, existence in the market and purposes of equipment that can measure the odors, what we will call the Smell-o-meter or olfactometer for human use. Material and Methods: In the first part of this research we will gather most of the information existing so far in international bibliography, as well as the achievements and utilities obtained to date. Following, we will analyze all the new concepts related to smell-o-meters devices that exist on the market and assess the possibility, based on what has been done so far, to seek new practical systems for application in the medical field.


Author(s):  
Shimelis Beyene ◽  
Teshome Regassa ◽  
Belaineh Legesse ◽  
Martha Mamo ◽  
Tsegaye Tadesse

In 2013, thirty-eight treadle pumps (TPs) were installed as low-cost technology introduction for small-scale irrigation in eastern Ethiopia. The pilot project also included training of selected farmers on well excavation, installation and maintenance of pumps. In June 2015, researchers visited nine of the 38 TP sites, and found only two functional TPs. The rest were replaced with a new technology. Farmers who adopted the new technology stated that the limited water output and high labor demand of the conventional TP did not optimally fulfil their irrigation water requirements. The new hybrid technologies have spread quickly to more than one hundred households due to three key factors. First, farmers’ innovative modifications of the initial excavation technique addressed the discharge limitations of the conventional TP by excavating boreholes with wider diameter. Second, community ownership of the new technology, including local skills used in well drilling and fabricating excavation implement, made the new irrigation technology affordable and accessible to a higher number of households, leading to faster diffusion of the technology. Third, this innovation has spread organically without any external support. Adoption of the new technology enabled some farmers to accumulate enough resources to diversify their livelihoods into non-farm activities.


Water Policy ◽  
2009 ◽  
Vol 11 (3) ◽  
pp. 362-378 ◽  
Author(s):  
N. Nahar

In attempting to eliminate disease caused by drinking polluted surface water, millions of tube-wells were drilled in Bangladesh. However, owing to arsenic in groundwater, the availability of safe drinking water has declined from earlier achievement of 97% to 51.2%. This article reviews the causes and distribution of arsenic concentration in rural Bangladesh from a wide variety of literature. Scientists have converged to two hypotheses for causes of arsenic in groundwater: the pyrite oxidation hypothesis and the oxy-hydroxide reduction hypothesis. There is a positive correlation between arsenic content in irrigated groundwater and arsenic contained in soils. There is a significant presence of arsenic in rice and leafy vegetables. Today, arsenic is causing toxicity to human health and creating major social problems. This finding implies that, had there been a precautionary measure taken when a new technology tube-well was being introduced, in the form of testing water for harmful metals, the risk that the rural population is facing now could have been drastically reduced. This lack of precautionary measure, before starting a mass installation of tube-wells for drinking and irrigation should be seen as a “human error” and avoided in future water policy and planning.


2021 ◽  
Author(s):  
Sergey Ziatdinov ◽  
Titto Thomas Philip

Abstract During the past decade, drilling automation systems have been an attractive target for a lot of operating and drilling companies. Despite progress in automation in various industries, like mining and downstream, the drilling industry has lagged far behind in the real application of autonomous technologies implementation. This can be attributed to harsh environment, high level of uncertainty in input data, and that majority of stock is legacy drilling rigs, resulting in capital intensive implementations. In the past years there have been several attempts to create fully automated rigs, that includes surface automation and drilling automation. Such solutions are very attractive, because they allow people to move out of hazardous zones and, at the same time, improve performance. However, the main deficiency of such an approach is the very high capital investment required for development of highly bespoke rigs (Slagmulder 2016). And in the current business environment, with high volatility in oil and gas prices, plus the huge negative effect of the Covid-19 crisis on the world's economic situation, it would be hard to imagine that there are a lot of companies willing to make such a risky investment. In addition to this, due to the lack of demand, the market is full of relatively new, high-performance rigs. Taking all these into account, the obvious question is whether it makes sense to invest money and time into the development of drilling automation. The answer should be yes, for three substantial reasons:Automation improves personal safety, by moving people out of danger zones;Automation improves process safety, by transferring execution from person to machine, which reduces the risk of human error;Automation improves efficiency by bringing consistency to drilling and through the use of self-learning algorithms, which allow machines to drill each successive well better than the previous. This paper will not look into surface automation, such as pipe-handling, chemical and mud handling on site. The paper is focused on the subsurface, namely on the drilling automation process, the challenges that need to be overcome to deploy a vendor agnostic system on a majority of existing rigs. A vendor agnostic system is a modification of an operator's autonomous drilling system (Rassenfoss 2011), designed to use existing rigs, BHAs, and have minimum footprint on the rigs for operational use. A vendor agnostic system will increase adoption of automated technologies and further drive improvements in operational and business performance


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