Successful Drilling of the Deepest and Hottest HPHT Carbonate Well in Offshore Malaysia, its Lesson Learnt and Way Forward

HPHT wells are typically associated with high complexity, technically challenging, long duration, high risk and high NPT as many things could go wrong especially when any of the critical nitty- gritty details are overlooked. The complexity is amplified with high risk of losses in carbonate reservoir with high level of contaminants compounded by the requirement of high mud weight above 17 ppg during monsoon season in an offshore environment. The above sums up the challenges an operator had to manage in a groundbreaking HPHT carbonate appraisal well which had successfully pushed the historical envelope of such well category in Central Luconia area, off the coast of Sarawak where one of the new records of the deepest and hottest carbonate HPHT well had been created. This well took almost 4 months to drill with production testing carried out in a safe and efficient manner whereby more than 4000m of vertical interval was covered by 6 hole sections. With the seamless support from host authority, JV partners and all contractors, the well was successfully delivered within the planned duration and cost, despite the extreme challenges brought about by the COVID-19 pandemic. This paper will share the experience of the entire cycle from pre job engineering/planning, execution, key lesson learnt and optimization plan for future exploitations which includes an appraisal well and followed by more than a dozen of development wells. Copyright © 2023, International Petroleum Technology Conference.

Successful Drilling of the Deepest and Hottest HPHT Carbonate Well in Central Luconia, Off the Coast of Sarawak, Offshore Malaysia

HPHT wells are typically associated with high complexity, technically challenging, long duration, high risk and high NPT as many things could go wrong especially when any of the critical nitty- gritty details are overlooked. The complexity is amplified with high risk of losses in carbonate reservoir with high level of contaminants compounded by the requirement of high mud weight above 17 ppg during monsoon season in an offshore environment. The above sums up the challenges an operator had to manage in a groundbreaking HPHT carbonate appraisal well which had successfully pushed the historical envelope of such well category in Central Luconia area, off the coast of Sarawak where one of the new records of the deepest and hottest carbonate HPHT well had been created. This well took almost 4 months to drill with production testing carried out in a safe and efficient manner whereby more than 4000m of vertical interval was covered by 6 hole sections. With the seamless support from host authority, JV partners and all contractors, the well was successfully delivered within the planned duration and cost, despite the extreme challenges brought about by the COVID-19 pandemic. This paper will share the experience of the entire cycle from pre job engineering/planning, execution and key lesson learnt for future exploitations. Copyright © 2022, Offshore Technology Conference.

COVID-19 Spread Detection and Controlling with Fog-based Infection Probability Evaluation Model

COVID-19 has created a pandemic worldwide, paused the path of building the future, and is still ongoing without any long-term solution. The time taken in vaccine distribution is too slow compared to the spread of COVID-19. Hence, it is important to be aware and take precautions on time without delaying and waiting for long-duration after getting infected with the virus. Technology nowadays is more advanced than ever before. Almost everyone has access to at least one mobile device with internet connection. Therefore, we propose a Fog Server (FS) based system that helps create awareness about the spread of COVID-19 within the surroundings of an individual, utilizing the concept of Hidden Markov Model (HMM) and Bluetooth contact tracing in polynomial computational time complexity. Moreover, we evaluate the effectiveness of the proposed model through real-world data analysis on different simulation settings. © 2023 ACM.

Predicting the Future of Achieving Herd Immunity in New York City

COVID-19 has a huge impact on the economic and social development of the world. In this paper, a simulation model of virus transmission was developed using the netlogo platform based on the characteristics of humans developing acquired immunity to a virus they once had, and predicted the prospects of achieving herd immunity under two scenarios: no vaccination and vaccination of a certain percentage of the population. The results show that failure to vaccinate leads to a longer duration of the outbreak, as well as an increase in the number of infected individuals and overall mortality. If vaccination is administered, the time to achieve herd immunity will be substantially reduced. © 2022 ACM.

Incorporating Pedestrian Movement in Computational Models of COVID-19 Spread during Air-travel

COVID-19 pandemic has resulted in an over 60 % reduction in airtravel worldwide according to some estimates. The high economic and public perception costs of potential superspreading during air-travel necessitates research efforts that model, explain and mitigate disease spread. The long-duration exposure to infected passengers and the limited air circulation in the cabin are considered to be responsible for the infection spread during flight. Consequently, recent public health measures are primarily based on these aspects. However, a survey of recent on-flight outbreaks indicates that some aspects of the COVID-19 spread, such as long-distance superspreading, cannot be explained without also considering the movement of people. Another factor that could be influential but has not gained much attention yet is the unpredictable passenger behavior. Here, we use a novel infection risk model that is linked with pedestrian dynamics to accurately capture these aspects of infection spread. The model is parameterized through spatiotemporal analysis of a recent superspreading event in a restaurant in China. The passenger movement during boarding and deplaning, as well as the in-plane movement, are modeled with social force model and agent-based model respectively. We utilize the model to evaluate what-if scenarios on the relative effectiveness of policies and procedures such as masking, social distancing, as well as synergistic effects by combining different approaches in airplanes and other contexts. We find that in certain instances independent strategies can combine synergistically to reduce infection probability, by more than a sum of individual strategies. © 2022 IEEE.

A Solution for Monitoring the Eye's Viewing Distance from Electronical Displays

Recent working environment due to pandemic covid 19 leads to numerous medical ailments for those who sits in front of the Computer Display for a longer duration. This type of activity leads to two types of eye strains such as Radiation Strain and Proximate Strain. Out of the two, proximate strain is the more potent cause of eye defects. There are proximity sensors in many devices, but their function is to turn off the display when kept in proximity to any surface. This has been done to prevent any mis-clicks on the display. There also exist many measures of safety to the eye by the use of blue light filters, dark mode, focus modes, etc. The proposed work focuses on monitoring the proximity of the eyes of the user to display with the use of the inbuilt device camera. The proposed algorithm maps the user's face and prevents them from using their devices too close to their eyes. Built on Python, OpenCV and MediaPipe, this project aims to do this using the camera on a device, it is very affordable and does not require any proprietary sensor or powerful and expensive hardware. Being very light, this algorithm can even run smoothly on a Raspberry Pi4. © 2022 IEEE.

Monitoring of Social distancing Face mask Using CNN

The outbreak of the Pandemic in last few months, rapid increase in the transmission of the virus and also the new emerging various strains of COVID-19 corona virus has led to complete Iockdown in the entire world. Meanwhile Iockdown imposed on various countries for longer duration has affected almost every sector of the society causing loss leading to hunger and poverty in the world. By considering all the situations and difficulties underwent by the human society a clear scenario where country not only needs Iockdown as it cannot be the effective solution in slowing down the rate of disease affecting people, So Society is Constantly looking for the alternatives that could help every sector in their business without loss is the topic of the hour. An alternative which could satisfy the above conditions is by Social Distancing and Wearing the Face mask. There by proposing our Real Time System which will detect whether required distance is maintained between two people and detect whether the face mask is worn or not by people with the aid of Web Camera using the most trending technologies Artificial Intelligence, Machine Learning Algorithms, Deep Learning, CNN and few more. © 2021 IEEE.

The Association of the Prolonged Use of Personal Protective Equipment and Face Mask During COVID-19 Pandemic With Various Dermatologic Disease Manifestations: A Systematic Review.

COVID-19 is a novel coronavirus that represents a great global health concern. It is transmitted between individuals through respiratory particles, and as there is no established effective treatment currently for the virus, it is necessary to use protective strategies such as face masks. Healthcare providers and individuals serving outdoors are required to work for long durations wearing personal protective equipment (PPE). Wearing such protective equipment may have short- or long-term effects on the skin health of these individuals. We aim to assess the prevalence and types of dermatological manifestations associated with wearing PPE for a long time during the COVID-19 pandemic period by reviewing the previous studies conducted on this subject. The medical literature, including the databases of PubMed and Google Scholar, from 2019 to 2021 was explored. The search terms included a combination of "Impact of PPE and dermatological outcome," "Wearing PPE for a long time and dermatological manifestations," "Face mask-wearing and dermatological complications," and "Wearing PPE and dermatological manifestations." The inclusion criteria are original full-text articles that reported the association of wearing PPE and dermatological manifestations and outcomes. A total of 70 articles were obtained, among which only 10 articles were eligible for the inclusion criteria. These 10 studies included a total number of 7,643 participants and covered different countries of the world. The extracted data were summarized in a table to facilitate the collection of the important findings. Dermatological complications are frequently reported in people wearing PPE and face masks, especially the ones caused due to PPE among healthcare providers as they tend to use these protective measures for longer durations.