Utilizing Lean & Machine Learning to Monitor and Managing Production Induced Subsidence in a Mature Oil and Gas Field and to Ensure Safety of 200+ Field Staff and Safeguard More Than 200 Mln BOE Natih & Shuaiba

2021 ◽  
Author(s):  
Maryam Humaid Al Wahaybi ◽  
Roeland van Gilst ◽  
Fathiya Hilal Salmi ◽  
Taimur Al Wadhahi ◽  
Saif Azri ◽  
...  
Keyword(s):  
Action Plan ◽  
Monitoring Network ◽  
Team Work ◽  
Line Of Sight ◽  
Traffic Light ◽  
Time Data ◽  
Alert System ◽  
Color Code ◽  
Gas Field ◽  
Team Members

Abstract The MicroSeismic (MS) events, also referred to as tremors or induced seismicity, can be triggered by reservoir depletion and compaction as a result of hydrocarbon production with time. In order to measure and locate the MS events in the Field A; Petroleum Development of Oman (PDO) installed many downhole geophones and accelerometers across the field since 2011. The monitoring network allows subsurface teams to understand magnitude, location and depth of the events. Till the end of 2019 a total of 5,597 MS events were recorded and analysed. In 2020 a new Standard Operating Procedure (SOP) was established moving away from a partly manual data information system to an automated real-time data system named PetroAlert (this is ESG invention). The SOP also defines a clear step-by-step action plan and line-of-sight using a color code system (Traffic Light System). The key challenges that needed to be overcome were: 1) problem breakdown, goals and root causes and 2) data integration and IT infrastructure. The first challenge was overcome by utilizing Lean and organizing a KAIZEN event to ensure objectives were clear to all involved team members. The second challenge was solved in consultation with our external event processing contractor the Engineering Seismology Group (ESG) and the PDO geophysics teams (Exploration Directorate). PDO behaviors: –Speed: the new automated alert system is much Leaner and efficient compared to the previous manual system saving 100s of man hours per year. The line-of-sight captured in the SOP makes it clear for the team how to respond and who to inform in case of significant MicroSeismic events.–Leadership: the Gas Team has lead the change with other compaction team members. In principle all information was available but needed to be combined into a simple alert system with appropriate data filtering.–Team work: without teamwork inside PDO with the Lean team, the specialist geophysicist and our external contractor ESG we would not have succeeded. Several Lean sessions (KAIZEN, Gemba, and huddles) were organised to ensure all team members were well informed on the progress and deadlines for the project. The digital transformation in MicroSeismic monitoring in Field A protects 200+ staff in the field and multiple hundreds BOE production in both Natih and Shuaiba Reservoirs. This work can be replicated for other fields in PDO impacted by compaction (Field B and Field C) to increase the success even further. Also it can be replicated worldwide.

scholarly journals H3ABioNet genomic medicine and microbiome data portals hackathon proceedings

Database ◽  
2021 ◽  
Vol 2021 ◽  
Author(s):  
Faisal M Fadlelmola ◽  
Kais Ghedira ◽  
Yosr Hamdi ◽  
Mariem Hanachi ◽  
Fouzia Radouani ◽  
...  
Keyword(s):  
Ethnic Groups ◽  
Genomic Medicine ◽  
Lessons Learned ◽  
Team Work ◽  
Significant Progress ◽  
Team Members ◽  
Pan African ◽  
Scientific Expertise ◽  
Microbiome Data ◽  
Made In

Abstract African genomic medicine and microbiome datasets are usually not well characterized in terms of their origin, making it difficult to find and extract data for specific African ethnic groups or even countries. The Pan-African H3Africa Bioinformatics Network (H3ABioNet) recognized the need for developing data portals for African genomic medicine and African microbiomes to address this and ran a hackathon to initiate their development. The two portals were designed and significant progress was made in their development during the hackathon. All the participants worked in a very synergistic and collaborative atmosphere in order to achieve the hackathon's goals. The participants were divided into content and technical teams and worked over a period of 6 days. In response to one of the survey questions of what the participants liked the most during the hackathon, 55% of the hackathon participants highlighted the familial and friendly atmosphere, the team work and the diversity of team members and their expertise. This paper describes the preparations for the portals hackathon and the interaction between the participants and reflects upon the lessons learned about its impact on successfully developing the two data portals as well as building scientific expertise of younger African researchers. Database URL: The code for developing the two portals was made publicly available in GitHub repositories: [https://github.com/codemeleon/Database; https://github.com/codemeleon/AfricanMicrobiomePortal].

COLLABORATECOM SPECIAL ISSUE ANALYZING DISTRIBUTED WHITEBOARD INTERACTIONS

2012 ◽  
Vol 21 (03) ◽  
pp. 199-220
Author(s):  
LUTZ GERICKE ◽  
RAJA GUMIENNY ◽  
CHRISTOPH MEINEL
Keyword(s):  
Internal Structure ◽  
Team Work ◽  
Special Issue ◽  
Distributed Work ◽  
Team Members ◽  
Work Settings ◽  
Simplified Analysis ◽  
Digital Whiteboard

We present the digital whiteboard system Tele-Board, which automatically captures all interactions made on the all-digital whiteboard and thus offers possibilities for a fast interpretation of usage characteristics. Analyzing team work at whiteboards is a time-consuming and error-prone process if manual interpretation techniques are applied. In a case study, we demonstrate how to conduct and analyze whiteboard experiments with the help of our system. The study investigates the role of video compared to an audio-only connection for distributed work settings. With the simplified analysis of communication data, we can prove that the video teams were more active than the audio teams and the distribution of whiteboard interaction between team members was more balanced. This way, an automatic analysis can not only support manual observations and codings, but also give insights that cannot be achieved with other systems. Beyond the overall view on one sessions focusing on key figures, it is also possible to find out more about the internal structure of a session.

Wide Range Underground Water Level Dynamic Information Monitoring Network System

2013 ◽  
Vol 373-375 ◽  
pp. 743-751
Author(s):  
Wen Li ◽  
Xiao Mei Wang ◽  
Xue Ke Luo
Keyword(s):  
Water Level ◽  
Data Transmission ◽  
Monitoring Network ◽  
Underground Water ◽  
Network System ◽  
Time Data ◽  
Dynamic Information ◽  
Information Monitoring ◽  
Wide Range ◽  
Underground Water Level

In order to solve data lack of underground water research and monitoring situation, a wide range underground water lever dynamic information monitoring network system was designed. Remote monitoring terminal based on the techniques of embedded and wireless transmission monitored the change of underground water level; Monitoring analysis center based on the JAVA technology of B/S architecture was designed to inquiry the real-time data,set parameter and analyze data, etc. An approximate water level point was obtained by adopting the modified small period prediction model and the weight distribution method. This enhances reliability of monitored data. By utilizing the technology of GPRS wireless data transmission and Ethernet technology, a remote and real-time data transmission channel was build. Large area application in Shanxi Province shows that the system has the stable performance and the reasonable structure. System can provide long-term reliable data for underground water research.

scholarly journals PROFIL FIJAI WARGA BELAJAR PROGRAM KESETARAAN PAKET A SANGGAR KEGIATAN BELAJAR (SKB)

2020 ◽  
Vol 2 (2) ◽  
pp. 111-115
Author(s):  
Putri Mardayani ◽  
Rufran Zulkarnain ◽  
Suardi Jasma
Keyword(s):  
Data Collection ◽  
Qualitative Method ◽  
Family Background ◽  
Traffic Light ◽  
Time Data ◽  
Light Traffic ◽  
Data Presentation ◽  
Traffic Lights ◽  
Data Validity

This study was aimed at describing the profile of Fijai, a student of program kesetaraan paket A Sanggar Kegiatan Belajar of Bengkulu municipality(case study on Fijai who is also a clown). This study used qualitative method. Data collection was done by interview , documentation, and observation. The subjects of this study included Fijai's parents and Fijai's tutor at program kesetaraan paket A Sanggar Kegiatan Belajar of Bengkulu municipality. Data validity was examined using triangulation of subject, technique and time. Data were analyzed through three steps which were data reduction, data presentation, and conclusion drawing. From the results, Fijai's profile was as follows. Firstly, how was Fijai's family background? His parents did not have a job except to help him work as a clown. Fijai got Rp 2,500,000/month from his job as a clown. Secondly, how was his study at program kesetaraan paket A Sanggar Kegiatan Belajar of Bengkulu municipality? He always attended the class once a week. Thirdly,how did he do his job as a clown? He started his job from 10 A.M. until 5 P.M. He moved around while doing his job, sometimes at Suka Merindu traffic light, traffic light near the roundabout, and other traffic lights. Fourthly,how was his parents' response on his education and his job as a clown? His parents agreed with his education at SKB and his job as a clown did not disturb his education. Fively,how was his tutor's response on his education and his job as a clown? According to his tutor he had highly enthusiasm in studying, he always attended the class once a week. Sixly, how was his achievement in package A program? His achievement was increasing per semester. Keywords : The profile of Fijai, student, package A equivalence program

A Seismic Alert System for Oil & Gas Offshore Fields

2021 ◽  
Author(s):  
Pamela Poggi ◽  
Emilia Fiorini ◽  
Daniela Tonoli ◽  
Francesca Ioele ◽  
Eric John Parker ◽  
...  
Keyword(s):  
Real Time ◽  
Ground Motion ◽  
Oil And Gas ◽  
Focal Depth ◽  
Threshold Values ◽  
Alert System ◽  
Ground Acceleration ◽  
Gas Field ◽  
Expected Values ◽  
Earthquake Data

Abstract Objectives/Scope This paper presents an innovative web tool developed for the seismic monitoring of critical infrastructure. As an example, we describe an application for the ENI offshore facilities, Jangkrik and Merakes Fields Development, offshore Indonesia. Methods, Procedures, Process The system monitors reported seismic activity in a project area, and issues warnings when earthquakes detected may have directly or indirectly impacted facilities. Notifications allow the owner to optimize decisions regarding post-earthquake asset surveys and maintenance, avoiding the need for inspections in areas not significantly affected. A system of email alerts and a web based GIS platform provide the end-user with a tool to control its own assets. Results, Observations, Conclusions The purpose of the tool is to indirectly monitor earthquakes in an area and identify those which may have damaged the Oil and Gas facilities of interest. This identification requires accurate near real-time earthquake data such as date, time, location, magnitude, and focal depth. To this end, the system retrieves earthquake data from a qualified set of public seismic agencies. The system computes the expected values of shaking at the specific offshore facilities (platforms, subsea structures, pipelines, etc.). Calculations are based on sets of Ground Motion Prediction Equations (GMPEs) selected to match the seismotectonic environment. The expected values of seismic acceleration generated by an earthquake are compared with threshold values and a warning message is issued to the facilities supervisors when the ground acceleration exceeds design values. Threshold values related to secondary seismic effects (e.g., seismically induced landslides, debris flow) which could affect facilities integrity are also considered in the alert system. Threshold values are defined considering project seismic and geohazard documents, to summarize strong ground motion parameters that could potentially trigger damaging seismic geohazards, and project design documents to collect all data about seismic design of the assets. Monitoring intervals are defined based on the documentation screening. Several alarm levels are selected, based on the potential severity of earthquake effects. The more severe levels of ground motion, with high damage potential, can trigger recommendation for inspection. Novel/Additive Information Asset integrity and safety are key drivers in the offshore petroleum industry. Safety performance with respect to earthquakes is a fundamental issue in all seismic prone areas. The seismic alert system presented highlights, in near real time, earthquakes that are potentially critical for structures in an Oil and Gas field. This allows the owners to make quick decisions and plan necessary intervention regarding assets affected directly or indirectly by earthquakes. Exploiting the wide background of knowledge in engineering and geoscience and the modern availability of global earthquake data, the tool can provide useful assistance in managing asset integrity, regardless of the availability of local seismic networks or strong motion stations.

scholarly journals A systematic review of contamination (aerosol, splatter and droplet generation) associated with oral surgery and its relevance to COVID-19

BDJ Open ◽  
2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Jennifer E. Gallagher ◽  
Sukriti K.C. ◽  
Ilona G. Johnson ◽  
Waraf Al-Yaseen ◽  
Rhiannon Jones ◽  
...  
Keyword(s):  
Oral Surgery ◽  
Cochrane Central Register ◽  
Clinical Environment ◽  
Medical Subject Headings ◽  
Traffic Light ◽  
Duration Of Treatment ◽  
Team Members ◽  
Aerosol Generation ◽  
Dental Procedures ◽  
Quality Aspects

Abstract Introduction The current COVID-19 pandemic caused by the SARS-CoV-2 virus has impacted the delivery of dental care globally and has led to re-evaluation of infection control standards. However, lack of clarity around what is known and unknown regarding droplet and aerosol generation in dentistry (including oral surgery and extractions), and their relative risk to patients and the dental team, necessitates a review of evidence relating to specific dental procedures. This review is part of a wider body of research exploring the evidence on bioaerosols in dentistry and involves detailed consideration of the risk of contamination in relation to oral surgery. Methods A comprehensive search of Medline (OVID), Embase (OVID), Cochrane Central Register of Controlled Trials, Scopus, Web of Science, LILACS and ClinicalTrials.Gov was conducted using key terms and MeSH (Medical Subject Headings) words relating to the review questions. Methodological quality including sensitivity was assessed using a schema developed to measure quality aspects of studies using a traffic light system to allow inter- and intra-study overview and comparison. A narrative synthesis was conducted for assessment of the included studies and for the synthesis of results. Results Eleven studies on oral surgery (including extractions) were included in the review. They explored microbiological (bacterial and fungal) and blood (visible and/or imperceptible) contamination at the person level (patients, operators and assistants) and/or at a wider environmental level, using settle plates, chemiluminescence reagents or air samplers; all within 1 m of the surgical site. Studies were of generally low to medium quality and highlighted an overall risk of contaminated aerosol, droplet and splatter generation during oral surgery procedures, most notably during removal of impacted teeth using rotatory handpieces. Risk of contamination and spread was increased by factors, including proximity to the operatory site, longer duration of treatment, higher procedural complexity, non-use of an extraoral evacuator and areas involving more frequent contact during treatment. Conclusion A risk of contamination (microbiological, visible and imperceptible blood) to patients, dental team members and the clinical environment is present during oral surgery procedures, including routine extractions. However, the extent of contamination has not been explored fully in relation to time and distance. Variability across studies with regards to the analysis methods used and outcome measures makes it difficult to draw robust conclusions. Further studies with improved methodologies, including higher test sensitivity and consideration of viruses, are required to validate these findings.

Neurophysiologic Collaboration Patterns during Team Problem Solving

2009 ◽  
Vol 53 (12) ◽  
pp. 804-808 ◽  
Author(s):  
Ron Stevens ◽  
Chris Berka ◽  
Marcia Sprang
Keyword(s):  
Problem Solving ◽  
Mental Models ◽  
Real World ◽  
Mental Workload ◽  
Team Work ◽  
Team Members ◽  
Collaboration Patterns ◽  
Random Patterns ◽  
Time Critical

We have explored using neurophysiologic collaboration patterns as an approach for developing a deeper understanding of how teams collaborate when solving time-critical, complex real-world problems. Teams of three students solved substance abuse management simulations using IMMEX software while measures of mental workload (WL) and engagement (E) were generated by electroencephalography (EEG). Levels of high and low workload and engagement were identified for each member at each epoch statistically and the vectors consisting of these measures were clustered by self organizing artificial neural networks. The resulting cognitive teamwork patterns, termed neural synchronies, were different across six different teams. When the neural synchronies were compared across the team members of individual teams segments were identified where different synchronies were preferentially expressed. Some were expressed early in the collaboration when the team members were forming mental models of the problem, others were expressed later in the collaboration when the team members were sharing their mental models and converging on a solution. These studies indicate that non-random patterns of neurophysiologic synchronies can be observed across teams and members of a team when they are engaged in problem solving. This approach may provide an approach for monitoring the quality of team work during complex, real-world and possible one of a kind problem solving.

scholarly journals Improving The Effectiveness Of Human Resources Practices Through Transforming Care At The Bedside

2014 ◽  
Vol 4 (4) ◽  
pp. 157-168
Author(s):  
Melanie Lavoie-Tremblay ◽  
Patricia O’Conner ◽  
Joanna Streppa ◽  
Alain Biron ◽  
Judith Ritchie ◽  
...  
Keyword(s):  
Health Care ◽  
Qualitative Study ◽  
Focus Groups ◽  
Resistance To Change ◽  
Positive Impact ◽  
Health Care Organization ◽  
Team Work ◽  
Future Research ◽  
Care Organization ◽  
Team Members

In 2010, in an effort to increase patient involvement in decision-making about health care redesign, a Quebec university health care organization implemented the Transforming Care at the Bedside (TCAB). This article presents the results from a qualitative study exploring health professionals’ perceptions of TCAB and the effect on turnover and overtime. This descriptive, qualitative study utilized focus groups, individual interviews, and a review of administrative documents for data collection. Participants included hospital workers from five units implementing TCAB. The data generated by the interviews and focus groups were analyzed using NVivo with the method proposed by Miles and Huberman (1994). During the first year of implementation of TCAB, the team noted the importance of taking time to see the effects of the changes and thereby facilitate the involvement of other team members. A number of TCAB team members also cited communication as a facilitating element for informing team members of changes. According to the participants, the TCAB strategies that were implemented have had a positive impact on practice and on the work environment, and turnover showed an improvement. There was no change in absenteeism. TCAB has the potential to impact not only nurses’ work, but interprofessional team work as well, through changes that involve everyone. Future research should focus on how to support team members to reduce resistance to change and increase social support in order to implement and sustain changes. 

scholarly journals Trial and Verification of Team Work Education to Enhance Team Members’ Complementary Collaboration

2019 ◽  
Vol 67 (4) ◽  
pp. 4_38-4_43
Author(s):  
Yoichi SUGIMOTO ◽  
Masao ARAKAWA ◽  
Masahiko ISHIMARU
Keyword(s):  
Team Work ◽  
Team Members ◽  
Work Education

Impacts of Team Characteristics and Design Activities on Design Outcomes

2011 ◽  
Author(s):  
Shun Takai
Keyword(s):  
Regression Analysis ◽  
Team Work ◽  
Concept Generation ◽  
Concept Selection ◽  
Design Strategies ◽  
Team Members ◽  
Before And After ◽  
Design Activities ◽  
Team Characteristics ◽  
Cognitive Mode

This paper presents an analysis of design team characteristics and design activities that are significantly associated with design outcomes (i.e., project performances) in sophomore-level project-based design courses. Besides efficient team work, a team needs to successfully perform three design activities: concept generation, concept selection, and prototyping. In the design course, teams are formed based on students’ choice of teammates as well as on instructor assigned teams which maximize cognitive mode diversity among members. A regression analysis is performed to find variables that are significantly associated with design outcomes. These variables include team size, teaming preference, diversity of cognitive modes among team members, the average number of power tools team members have used in the past, whether or not a team experienced a team-working difficulty, the number of concepts generated before and after using creativity techniques, whether or not a team had the most successful strategy (called “winning” concept in this study) in a set of concepts from which one concept is chosen for prototyping, and timing of selecting the winning concept (at concept selection, at proof-of-concept testing, or at final testing). Design strategies used by teams, the winning concepts, results of regression analysis (variables significantly associated with design outcomes) are discussed.

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