Mud Weight Optimization to Reduce Non-Productive-Time While Drilling Through Shale/Carbonate Sequence of UAE: A Case Study

2015 ◽  
Author(s):  
GuiFen Xi ◽  
Nabila labbassen ◽  
Bader Saif Al Badi ◽  
Thierry Francis Lecoq ◽  
Hassan Al-Husseiny Afifi ◽  
...  
Keyword(s):  
Weight Optimization ◽  
Carbonate Sequence ◽  
Productive Time

Real Time Borehole Stability Monitoring and Pre-drill Model Calibration using LWD Sonic — A Case Highlight.

2015 ◽  
Author(s):  
Sophia Weaver ◽  
Xiaohui Xiao ◽  
Rob Vines
Keyword(s):  
Model Calibration ◽  
Weight Optimization ◽  
Borehole Stability ◽  
Acoustic Data ◽  
Stability Monitoring ◽  
Development Costs ◽  
Stability Model ◽  
Logging While Drilling ◽  
Geophysical Log ◽  
Productive Time

Abstract Borehole instability challenges can account for a significant percentage of non-productive time and associated costs in drilling. This is even more so in deepwater subsea wells due to high development costs coupled with the subsurface complexities associated with turbidite reservoirs. Pre-drill borehole stability studies in this field case were performed by evaluating offset well history and geophysical log data and calibrating these against direct well measurements and drilling experiences, with the objective of recommending the appropriate mud weight. However, the validation of the pre-drill borehole stability model derived from sonic data taken in the only offset well in the field was deemed necessary for effective borehole stability monitoring in this case. Additionally, the inability to run wireline in a highly deviated well fuelled the need for acoustic data acquisition using logging-while-drilling (LWD). Sonic data was acquired by LWD (a first in the field) and this aided mud weight optimization to successfully drill the well to TD without any borehole stability problems. This paper describes the application of this solution to managing well delivery uncertainties in a deepwater field and highlights the process, results and lessons from the event to aid future applications.

Matching Technology to Content and Learners: A Case Study

1984 ◽  
Vol 51 (2) ◽  
pp. 130-134 ◽  
Author(s):  
Susan G. Friedman ◽  
Alan M. Hofmeister
Keyword(s):  
Instructional System ◽  
Field Testing ◽  
Individualized Instruction ◽  
Teacher Involvement ◽  
Simultaneous Use ◽  
Productive Time ◽  
Teachers And Technology

A microcomputer/videodisc-based instructional system (MCVD) that would not require extensive teacher involvement was developed to provide individualized instruction to handicapped learners. The results of the field testing and the implications of the program are addressed. The overall approach de-emphasizes direct comparison of teachers to machines and emphasizes the simultaneous use of teachers and technology to increase educationally productive time for handicapped students in individualized classrooms.

River-ice blasting and explosive weight optimization for ice-flooding mitigation: A case study

2020 ◽  
Vol 177 ◽  
pp. 103103
Author(s):  
Hui Fu ◽  
Xinlei Guo ◽  
Peng Wu ◽  
Tao Wang ◽  
Yongxin Guo ◽  
...  
Keyword(s):  
River Ice ◽  
Weight Optimization

Design and Weight Optimization of an Automobile Link - A Case Study

2013 ◽  
Author(s):  
Mohamed Anwar ◽  
Sandesh S ◽  
Ashok Kumar B ◽  
Sathya Prasad
Keyword(s):  
Weight Optimization

scholarly journals Reasons for delay in turnover time in operating room- an observational study

2017 ◽  
Vol 16 (2) ◽  
pp. 245-251 ◽  
Author(s):  
Mohinder Kumar ◽  
Suchitra Malhotra
Keyword(s):  
Quality Improvement ◽  
Operating Room ◽  
Time Delays ◽  
Medical Science ◽  
Turnover Time ◽  
Team Work ◽  
Medical College ◽  
Productive Area ◽  
Productive Time

Background: Operating room (OR) like casualty room is the most productive area of a hospital. Turnover time although is a non-productive time in the operating room, yet it is important. Its efficient utilisation require multidisciplinary team work especially supporting services which play a major role in reducing turnover time in the operating room. Since present medical college where study was being conducted is still in its evolving stage, it was considered desirable for its quality improvement to study various factors which are contributing in turnover time delay so that appropriate measures can be taken to prevent the undue turnover time delay.Materials and methods: Present prospective observational case study aims at measurement of turnover time delays during 100 working days which were completed over four months for two operation theatres. The variable chosen was the delay of turnover time from the benchmark time taken. The data were collected, compiled and analysed.Results: In orthopaedics OR 77% of turnovers were found within benchmark limits. Only in 23% cases turnovers were delayed. 47% of times hospital related issues were responsible. In surgery OR 79% of turnovers were within benchmark limits. 21% cases were delayed; of this hospital related problems caused delayed turnovers in 53% cases.Conclusions: The study concluded that reasons for delays centred on multifactorial reasons which were unavoidable and unpredictable. But if those problems that can be easily fixed are attended to, valuable time can be saved, which will ultimately keep the surgeries on schedule and will prevent cancellation of elective cases. The utilization of OT complex can be optimized by team effort, multitasking and parallel processing.Bangladesh Journal of Medical Science Vol.16(2) 2017 p.245-251

A Case Study for Calculating Employer Costs for Lost Productive Time in Episodic Migraine and Chronic Migraine

2011 ◽  
Vol 53 (10) ◽  
pp. 1161-1171 ◽  
Author(s):  
Walter F. Stewart ◽  
Christa Bruce ◽  
Aubrey Manack ◽  
Dawn C. Buse ◽  
Sepideh F. Varon ◽  
...  
Keyword(s):  
Chronic Migraine ◽  
Episodic Migraine ◽  
Productive Time

scholarly journals The Assessment of the suitability of reconfigurable design through simulation and decision trees

2020 ◽  
Vol 5 (9) ◽  
pp. 1027-1030
Author(s):  
Ricardo Irving Ramirez Guzman ◽  
Mario Luis Chew Hernández ◽  
Mtro. Leopoldo Viveros Rosas ◽  
Ricardo Rodríguez Figueroa
Keyword(s):  
Decision Trees ◽  
Process Equipment ◽  
Cost Of Transport ◽  
Reconfigurable Design ◽  
New Process ◽  
Long Time ◽  
Mobile Process ◽  
The Cost ◽  
Productive Time

Positioning of the equipment of a manufacturing company is done foreseeing that it will remain fixed for a long time. This is because changes in the plant layout are thought to be costly, as they involve redesigning equipment support services, developing new foundations, using heavy machinery to move equipment, and causing non-productive time at the plant. However, the increased competition due to globalization, lead us to consider the alternative of making modifications to the layout more frequently to improve productivity. Changing the position of the equipment can be facilitated by specifying smaller mobile process equipment or by anticipating the availability of services at different points in the workshop and the existence of cranes or other means of transportation. These forecasts, logically, result in a greater investment in elements that, at least initially, do not generate any profit. This work shows the evaluation of the feasibility of modifying the positions of the equipment when there are variations in the probability distribution in production speeds. This evaluation is carried out using decision trees and process simulation. The case study addressed consists of a generic production line with serial workstations. Jobs arrive at the first computer and join their product on hold if space is available, otherwise the job is lost. In the same way, the product on hold of the other teams are limited in size, and when a product on hold is full, the team behind stops until there is space available. Due to the use, the speeds of the equipment are changing with respect to the ones they had when new: the process times are increasing and / or becoming more variable. To improve productivity under the new process speeds, the space between the equipment can be modified, however, during this change, production must be suspended. This work shows how, by simulating processes and decision trees, it is possible to determine the ranges of values ​​of the suspension time and the cost of transport for which it is convenient to make changes in the spacing of the equipment.

scholarly journals Design, Analysis and Experimental Testing of Composite Leaf Spring for Application in Electric Vehicle

2019 ◽  
Vol 8 (9) ◽  
pp. 2882-2891 ◽  
Keyword(s):  
Electric Vehicle ◽  
Experimental Testing ◽  
Excess Weight ◽  
Leaf Spring ◽  
Weight Optimization ◽  
Passenger Vehicle ◽  
Load Bearing Capacity ◽  
Element Analysis ◽  
Excess Load

In electric vehicle segment it is significantly observed that the excess weight of batteries (>10% of overall weight) reduces the travel range of electric vehicle. This excess weight of the batteries causes higher compression of the springs & also reduce the space available for suspension travel which reduces the life of suspension & comfort to the passenger. To overcome these issues, suspension needs to be reconfigured in terms of geometry & material of the suspension. Considering above changes in suspension system, Leaf Spring can be considered due to its proven history. Leaf spring has high load bearing capacity & can handle high loads at less deflection resulting in smoother ride. In this study glass fiber is used to analyze the application of leaf spring for excess weight in electric vehicle. The main objective of this study is to investigate feasibility of composite material for leaf spring to withstand the excess load in Electric vehicle. Rear leaf spring of TATA Sumo passenger vehicle is considered as case study model, which is semi-elliptical laminated type. The CAD model was created in CATIA & imported to ANSYS. Analytical, Experimental and Finite Element Analysis were carried out on composite prototype. Weight optimization of 67.70% for GFRP is observed in comparison to EN 46 material. For deflection 3.93%, for stiffness 4.06%, for energy absorbed 3.94% and for natural frequency is 5.25% difference is observed.

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