operations performance
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Author(s):  
Renato R. Siman ◽  
Roquemar L. Baldam ◽  
Luciana H. Yamane ◽  
Sarina F. A. Lessa ◽  
Juliana P. Tackla ◽  
...  

2021 ◽  
Author(s):  
Xaymaca Bautista Alarcon ◽  
Carlos Torres

Abstract This paper describes how business analytics novel software tools combined with advanced data management techniques can be integrated to management workflows and decision-making processes of a Coiled Tubing Service Company (CTSC). An advanced data wrangling process (transforming and mapping data) was designed and implemented to unify current and historical coiled tubing operational data into a single data set. The latter was regularly updated with the latest operational information through an automated data querying process that eliminated the need for manually repeating the data wrangling. A Business Analytics Software (BAS) was used to accelerate the engineering of a Data Analytics (DA) process, identify correlations and trends, design data models, and create relevant Key Performance Indicators (KPI). Finally, BAS visualization tools were used to prepare and publish comprehensive cloud-based Business Intelligence (BI) dashboards and reports. The BI dashboard allows the coiled tubing company to quickly perform accurate and efficient analysis of the KPI trends of its coiled tubing units and well interventions. The cloud-based Dashboard enables the CTSC to: Effectively identify Coiled Tubing Strings utilization, costs, failures, vendors, and design performance trends based on factual data, thus enabling informed pipe management decisions. Clearly Identify high performance coiled tubing units and crews and make strategic decisions for high profile jobs. Identify equipment failures, non-productive time (NPT) trends and define, implement, and monitor maintenance and asset management strategies to tackle the failures with mayor impact on operations performance. Easily incorporate fresh operational data and detect record-breaking operations. Improve Customer Relationship Management by a quickly responding to customer inquiries for tailor-made operations performance reports. Decrease workload on repetitive processes by enabling reports generation with relevant and accurate data faster that previous methods in place. Quickly customize and create accurate documentation compiling relevant performance data in a consistent and standardized fashion. Perform well interventions technical analysis. The contemporary approach to integrate BI Software to coiled tubing operations is a step change in how service companies and operators are analyzing and monitoring performance (efficiency, safety, and quality) to differentiate from each other, optimize results and minimize costs. This paper describes an example of a simple yet sophisticated and effective way of incorporating digital tools in the oilfield services processes by utilizing in house talent and resources.


2021 ◽  
Vol 11 (04) ◽  
pp. 611-627
Author(s):  
Jairaj Desai ◽  
Justin Mahlberg ◽  
Woosung Kim ◽  
Rahul Sakhare ◽  
Howell Li ◽  
...  

2020 ◽  
Vol 47 (4) ◽  
pp. 450-460 ◽  
Author(s):  
Khaled Hamad ◽  
Abdulkarim Ismail

The purpose of this research is to evaluate the performance of the directional interchange with semi-direct ramp connections with loops (DI-SDRL) in terms of traffic operations under a wide range of traffic demand conditions. Towards this end, the performance of this interchange has been compared with that of a conventional one, i.e., directional with loops interchange (DLI). Thirty different traffic scenarios were developed to test their performance using a state-of-the-art traffic microsimulation tool PTV-VISSIM. The results showed that the DI-SDRL interchange design outperforms the conventional DLI interchange in terms of vehicle hours traveled and mean speed. Nevertheless, the DI-SDRL underperforms the DLI in terms of vehicle kilometres traveled. There was no significant difference in terms of mean delay. At the individual-segment level, the analysis showed that the DI-SDRL interchange outperforms the DLI at diverging segments; in contrast, the DLI interchange outperforms the DI-SDRL at merging segments.


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