Shifting the Paradigm: The Effective Way to Use Real-Time Data for Improved and Safer Oilwell Operations

2012 ◽  
Author(s):  
David M. Pritchard ◽  
Jesse Roye ◽  
J. C. Cunha
Keyword(s):  
Real Time ◽  
Control Analysis ◽  
Time Data ◽  
Well Control ◽  
Real Time Data ◽  
Drilling Operations ◽  
Recorded Data ◽  
Well Data ◽  
The Right ◽  
Real Time Information

When analyzing root causes for minor or major problems occurring in oilwell drilling operations, investigators almost always can track past events, step by step, using recorded data that was produced when the operation occurred. In recent catastrophic blow-outs, investigators were able not only to determine the causes of the accidents but also to indicate mitigating actions, which could have prevented the accident if they were taken when the operation actually took place. This is a strong indicator that, even though the industry has valuable real-time information available, it is not using it as a tool to avoid harmful events and improve performance. Real-time data is not about well control, it is about well control avoidance. Recent catastrophic events have underscored the value of having the right kind of experience to understand and interpret well data in real time, taking the necessary corrective actions before it escalates to more serious problems. What is the well telling us? How do we use real time data to ensure a stable wellbore? Real-time monitoring, integrated with rigorous total well control analysis, is required to embrace and achieve continuous improvements — and ensure the safest possible environment. Next generation monitoring requires a step change that includes hazards avoidance as a precursor to drilling optimization. Real-time data can be used effectively in operations to avoid, minimize, and better manage operational events associated with drilling and completion. Real-time data can also provide the foundational support to improve training in the industry as well as develop hands-on simulators for hazards avoidance.

Turbodrill Bottomhole Assembly and Real-Time Data Improve Through-Tubing Coiled-Tubing Drilling Operations in Sour Gas Well

2015 ◽  
Author(s):  
A. Ebrahimi ◽  
P. J. Schermer ◽  
W. Jelinek ◽  
D. Pommier ◽  
S. Pfeil ◽  
...  
Keyword(s):  
Real Time ◽  
Time Data ◽  
Gas Well ◽  
Coiled Tubing ◽  
Real Time Data ◽  
Drilling Operations ◽  
Sour Gas

scholarly journals Real Time Data Logging of Different Parameters of Airjet Looms

2019 ◽  
Vol 8 (6) ◽  
pp. 2304-2306
Keyword(s):  
Wireless Communication ◽  
Real Time ◽  
Manufacturing Industry ◽  
Data Logging ◽  
Time Data ◽  
Time System ◽  
Real Time System ◽  
Air Jet ◽  
Real Time Data ◽  
Recorded Data

Real time data logging of different parameters of Air jet looms should be implemented to reduce the time-consuming method in the textile manufacturing industry. Implementation area of this system is a reduction of efforts and errors done by workers in the textile looms. Existing system is not able to give real time data required by the user at the required time. This system actually keeps record of different stoppages that leads to break the continuity of the machine and hence reduces the machine efficiency. This is a real time system in which wireless communication is used to transfer the recorded data to user’s computer. This recorded detail in turn is transmitted to the PC of the user to do further computation of wages of the worker and manage their work efficiency. This is a real time system in which wireless communication is used to transfer the recorded data to user’s computer as well as on mobile phone. This will provide an additional facility of monitoring the working condition of machine whether it is proper or not and thus user can also keep watch on the workers.

scholarly journals Real-Time Data Transmission and Visualization as a Powerful Technology to Reduce Non-Productive Time During Drilling Operations: Present Day Capabilities, Limitation, and Future Development

2020 ◽  
Vol 43 (3) ◽  
pp. 135-142
Author(s):  
Yustian Ekky Rahanjani ◽  
Budhi Nugraha
Keyword(s):  
Real Time ◽  
Data Transmission ◽  
Network Connectivity ◽  
Local Network ◽  
Time Data ◽  
Literature Study ◽  
Intelligence System ◽  
Real Time Data ◽  
Drilling Operations ◽  
Productive Time

This paper primarily is focusing on presenting the non-productive time overview and any kind of non-productive time that can be reduced by real-time data technology, real-time data transmission and visualization infrastructure which supports the processes of aggregation, transmission, and visualization; the example of multipurpose implementation and further innovation and improvements that can be made within the real-time data transmission and visualization, such as real-time reservoir footage calculation during geosteering and drill-time calculation to pick the formation tops and casing point; the challenges and limitation while using real-time data, such as VSAT and local network connectivity issue; and future target and improvement of real-time data usage especially to make an artifi cial intelligence system to predict the potential feature, such as formation or drilling problem while drilling. All of those stuff s could be found by literature study and direct professional experience while handling real-time data system. This technology will inspire the user to design their own solution for their operations. Despite the signifi cant advances on real-time data transmission and visualization, there is signifi cant room to fully use itspotential for advanced workfl ows and the usage of real-time data technology which was proven to reduce the Non-Productive Time that could save the operational cost. We believe that the utilization of real-time data transmission and visualization will defi nitely increase the effi ciency of the drilling operations, especially for multiple wells operations.

Real-Time Well Monitoring and Engineering Analysis of Drilling Activities: Intelligent Rig State Detection and Prediction With Uncertainty

2020 ◽  
Author(s):  
Vanessa Kemajou ◽  
Robello Samuel
Keyword(s):  
Real Time ◽  
Forecast Model ◽  
Engineering Calculation ◽  
Open Architecture ◽  
Engineering Analysis ◽  
Time Data ◽  
Multiple Sensors ◽  
Real Time Data ◽  
Drilling Quality ◽  
Drilling Operations

Abstract Drilling activities are risky and costly, especially when performed offshore. Careful monitoring and real time data analysis are required for safe and efficient operations with minimized down-time. Drilling operations, being fast-paced and not visible, often lead to transient and unforeseen issues. The synchronous assessment and prediction of drilling quality has historically been a challenge. It relies on a prompt collection, analysis and prediction of the multiple sensors data, as well as an immediate comparison to the original drilling plan. Another challenge is achieving real-time well engineering, and automatically and instantaneously providing valuable insights to the engineering and operations teams. A system was successfully developed to tackle these challenges. It is a cloud-based application, made with an event-driven streaming architecture to automatically retrieve real-time drilling data and compare it with planned data. The real-time data is automatically made available to determine the current well operation or rig state, and trigger the subsequent engineering analysis. Next, a forecast model is trained with the engineering calculation outputs and it returns predictions on these outputs while considering their inherent uncertainty. As a result, these predictions enable alerts to be sent when the system detects approaching anomalous conditions. The proposed system is a DecisionSpace® 365 cloud-native application on an open architecture. It is flexible, accessible from anywhere, can be automatically updated for continuous improvement, and can be deployed easily and quickly. It can also be extended to further applications.

Meeting Dr Jonah

2016 ◽  
Vol 37 (1) ◽  
pp. 51-54 ◽  
Author(s):  
Peter Buell Hirsch
Keyword(s):  
Real Time ◽  
New Technologies ◽  
Rapid Evolution ◽  
Ethical Framework ◽  
Ethical Challenges ◽  
Time Data ◽  
Content Type ◽  
News Reports ◽  
The Right ◽  
Real Time Information

Purpose – The purpose of this viewpoint is to draw attention to a relatively new set of ethical challenges presented by pills contain sensors and other similar “nanobots” that send information back to the doctor and to call for a public dialogue on these issues. Design/methodology/approach – The approach for this paper is to examine recent news reports on these new technologies and suggest an approach to an ethical framework based on similar challenges in digital privacy. Findings – Based on the rapid evolution of the technology, the author believes that there are four critical areas to be considered to create an ethical framework for implantable/ingestible devices that transmit real-time information – informed consent, anonymization, approved usage and the right of deletion. Research limitations/implications – The findings will need to be augmented once these devices are in common use to evaluate the real-world viability of the ethical framework proposed. Originality/value – To the best of our knowledge, evaluations of the ethical challenges represented by ingestible devices transmitting real-time data, if they exist, have been limited to specialized journals and have not been the subject of broader discussion.

Measurement While Coring (MWC)—measurement of core acquisition in real time

2009 ◽  
Vol 49 (1) ◽  
pp. 25
Author(s):  
Greg Wheatley
Keyword(s):  
Real Time ◽  
Inner Core ◽  
Recovery Process ◽  
Drilling Fluids ◽  
Time Data ◽  
The Core ◽  
Core Recovery ◽  
Real Time Data ◽  
Level Recorder ◽  
Real Time Information

Coring technology has remained relatively unchanged for decades. One of the primary technology gaps has always been the lack of real-time data at the surface on core recovery. Coretrack has developed the Core Level Recorder (CLR), a core recovery tracking tool that delivers accurate core-to-reservoir correlation. The CLR can be coupled to a mud pulser system to deliver surface readout on the core recovery process delivering accurate core-to-reservoir correlation in real time. The CLR is placed inside the inner core barrel and moves upwards as core is recovered into the barrel recording the amount of rock captured in a time versus distance format. The transmission of this data to surface provides the real-time information on whether or not core is being recovered and accurately records any gaps in the process allowing the core to be correlated to the formation with ±50 mm accuracy. The CLR has been designed for use in both water and synthetic oil based drilling fluids of up to 125 °C and 10 kpsi with runs carried out in a variety of both on and offshore wells in Oman, Saudi Arabia and Australia. The CLR can be run in deviated holes and in all currently available core barrels. The most common size is for 4 inch core, however it is easily adapted for other barrel diameters. Real-time data transmission enables the coring technician to accurately state when core is being recovered. This greatly increases the ability to state when core milling or core jams have occurred—a notification that removes unnecessary round trips and brings significant savings. This paper will present case histories of runs made with the CLR.

RFID-Enabled Real-Time Production Tracking System for PCB Assembly Industry

2011 ◽  
Vol 80-81 ◽  
pp. 1330-1334 ◽  
Author(s):  
Gong Zhang ◽  
Jie Zhang ◽  
Shi Yong Tian
Keyword(s):  
Real Time ◽  
Production Management ◽  
Tracking System ◽  
Production Data ◽  
Time Data ◽  
Time Production ◽  
Pcb Assembly ◽  
Real Time Data ◽  
Information Tracking ◽  
The Right

There are many varieties of materials and suppliers for the PCB assembly process; meanwhile, process modifications as well as order changings happen frequently during production. The PCB assembly industry is suffering uncertainty and unknowingness due to the lack of timely, accurate, and consistent production data. Therefore, real-time production information tracking plays an important role for the PCB assembly industry, which provides the right information to the right person at right time to support the decision making and optimize the production management. This paper applies RFID technology to capture the production data and process production information for PCB assembly enterprises. In a PCB assembly line, machines and materials are equipped with RFID device such as RFID readers and tags to build the real-time data collecting environment. A number of production information processing methods are proposed to extract the production tracking information such as progress, WIP (Work-in-progress) inventory from the mass real-time data through data filtering and selection. Finally, a case study is given to demonstrate the developed methodologies.

scholarly journals Characteristics of the 2018 Bago River Flood of Myanmar

2020 ◽  
Vol 15 (3) ◽  
pp. 256-266 ◽  
Author(s):  
Daisuke Komori ◽  
Akiyuki Kawasaki ◽  
Nanami Sakai ◽  
Natsumi Shimomura ◽  
Akira Harada ◽  
...  
Keyword(s):  
Real Time ◽  
Flood Disaster ◽  
Data Availability ◽  
Total Precipitation ◽  
Time Data ◽  
River Watershed ◽  
The Past ◽  
Real Time Data ◽  
River Flood ◽  
The Right

A massive flood in Myanmar struck the Bago river in July, 2018. In this study, because of the limitation of real-time data availability, the satellite-based precipitation was used for clarifying the characteristics of the flood. The total precipitation during 10 days from July 22, when the flood first began at the western Bago city, was estimated approximately 753 mm and 527 mm at the Bago and Zaungts stations in the Bago river watershed. These values were corresponding to 355% and 294% of average of the 10-day total precipitation at the Bago (1967–2015) and Zaungts (1987–2014) stations. Furthermore, not only the 3-day and weekly peak precipitations but also the annual accumulative precipitations during July 22 and August 16 were estimated larger than the largest recorded precipitations at both stations. Although the Zaungts dam stored approximately 140 million m3 during this period, which was an amount equivalent to 40% of inflow volume during July 22 and 28, the resulting flood widely propagated in the Bago city. Based on the flood survey, the 2018 Bago river flood was classified into 4 areas; the right bank of the Bago river, the eastern town, the northern town, and the downstream from the Zaungts Weir and Bago city. These areas were marked as vulnerable areas in the Bago city. The Bago river watershed has experienced many floods in the past, and floods on the same scale as this flood are expected to occur in the future. Therefore, it is essential to understand the characteristics of the 2018 Bago river flood and develop near real-time monitoring of hydrometeorological situation to be prepared for the next flood disaster.

Geospatial Analysis in Responding to a Nuclear Detonation Scenario in NYC: The Gotham Shield Exercise

2020 ◽  
Vol 17 (3) ◽  
Author(s):  
Luis Lowe ◽  
Adela Salame-Alfie ◽  
Bob Neurath ◽  
Celia Quinn ◽  
Armin Ansari ◽  
...  
Keyword(s):  
Public Health ◽  
Real Time ◽  
Geospatial Analysis ◽  
Federal State ◽  
Time Data ◽  
Response Planning ◽  
Real Time Data ◽  
State And Local ◽  
Real Time Information ◽  
Time Information

AbstractIn April 2017, the Centers for Disease Control and Prevention (CDC) participated in the Gotham Shield Exercise, led by the Federal Emergency Management Agency (FEMA) and in collaboration with other federal agencies to test the federal, state and local government’s ability to respond to an improvised nuclear device (IND). With active engagement from CDC leadership, 266 scientific and support staff from across the agency participated in the Gotham Shield exercise. The scenario involved a 10-kiloton detonation near the Lincoln Tunnel in New Jersey. This nuclear detonation scenario provided CDC with the opportunity to test some of the all-hazards tools the agency uses during response to other national or international emergencies, such as Geographic Information Systems (GIS) and mapping tools, and apply these tools to a nuclear emergency. Geospatial analysis associated with real time data can provide near real time information for individuals and entities associated with response and recovery activities. This type of analysis can provide timely data in regard to maps and information used to properly place staging areas for Community Reception Centers (CRC), mass care locations, and other medical care and countermeasure related services. Maps showing locations of power loss, such as locations of lost or inoperable main electrical grid and substations, combined with real time data on where power is available provides valuable information for first responders and emergency managers as well as responders engaged in communicating critical public messages to affected populations in these areas. By using real-time information, response officials can direct the response, allocate scarce resources, aid in coordination efforts, and provide a more efficient means of providing critical public health and medical services. The results of the exercise highlight the importance of using geospatial analysis for response planning and effect mitigation before, during, and after a public health event of this magnitude, and the value they represent in informed decision making.

scholarly journals An online COVID-19 self-assessment framework supported by IoMT technology

2021 ◽  
Vol 30 (1) ◽  
pp. 966-975
Author(s):  
Mohammed Kamal Nsaif ◽  
Bilal Adil Mahdi ◽  
Yusor Rafid Bahar Al-Mayouf ◽  
Omar Adil Mahdi ◽  
Ahmed J. Aljaaf ◽  
...  
Keyword(s):  
Real Time ◽  
Healthcare System ◽  
Assessment Tool ◽  
Signs And Symptoms ◽  
The Internet ◽  
Time Data ◽  
Self Assessment ◽  
Course Of Action ◽  
Real Time Data ◽  
The Right

Abstract As COVID-19 pandemic continued to propagate, millions of lives are currently at risk especially elderly, people with chronic conditions and pregnant women. Iraq is one of the countries affected by the COVID-19 pandemic. Currently, in Iraq, there is a need for a self-assessment tool to be available in hand for people with COVID-19 concerns. Such a tool would guide people, after an automated assessment, to the right decision such as seeking medical advice, self-isolate, or testing for COVID-19. This study proposes an online COVID-19 self-assessment tool supported by the internet of medical things (IoMT) technology as a means to fight this pandemic and mitigate the burden on our nation’s healthcare system. Advances in IoMT technology allow us to connect all medical tools, medical databases, and devices via the internet in one collaborative network, which conveys real-time data integration and analysis. Our IoMT framework-driven COVID-19 self-assessment tool will capture signs and symptoms through multiple probing questions, storing the data to our COVID-19 patient database, then analyze the data to determine whether a person needs to be tested for COVID-19 or other actions may require to be taken. Further to this, collected data can be integrated and analyzed collaboratively for developing a national health policy and help to manage healthcare resources more efficiently. The IoMT framework-driven online COVID-19 self-assessment tool has a big potential to prevent our healthcare system from being overwhelmed using real-time data collection, COVID-19 databases, analysis, and management of people with COVID-19 concerns, plus providing proper guidance and course of action.

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