Transforming Real Time Drilling Operation Center into a High-Performance Enabler in the Digital Era: A Brunei Case Study

2021 ◽  
Author(s):  
Mohd Fadillah Ahmad ◽  
Jamal Dayem ◽  
Nurfitrah Mat Noh ◽  
Jia Jun Goo ◽  
Marlene Kereshanan

Abstract This paper documents the aim to develop the necessary integrated digital capability and initiative to enhance and improve operation performance and transform the way data is manipulated, visualized and interpreted within Real-Time Performance Center (RTPC) by an oil and gas operator in Brunei. The strategy to achieve enhancement of RTPC deliverables and performance KPIs demanded the following steps: Adapting an engineering solution to align performance monitoring and set measurable and achievable KPIs. This process begins with an assessment of the current working practice. Automating KPIs dashboard that is customizable to meet stakeholder's expectation. Implementing the New Way of Working with the change management support. Advancing with the historical data loading, data clean-up by data mapping process and detailed quality checks before computing the best composite well time (BCWT). Improved Drilling Efficiency & Optimization (DEO) workflow by monitoring Mechanical Specific Energy (MSE) to improve the drilling rate of penetration (ROP) and mitigate drilling dysfunctions. The technical scope of the operation center includes the transformation of the high-frequency data transmitted from sensors at the rig site into information that encourages continuous improvement of all operational activities, both offshore and onshore by well engineers through digital solution collaboration. The result of the collaborative initiatives an enhanced Real Time Performance Center, with which transparency becomes imperative, strong performance KPIs are continuously monitored and improved through benchmarking of drilling activities as well as off-bottom practices and flat-time operations in the current well against the offset wells. In addition, the daily data-centric performance-driven discussions that take place contribute to a successful enhancement strategy. Among key improvements observed between the start of RTPC implementation to Q3-2020: Operations time improvement: 32% reduction in backreaming time Invisible lost time (ILT) reduction: More than 30% improvement in 12.25in and 8.5in RSS BHA connection time and more than 60% improvement in tripping speed. Significant reduction in NPT categories within the RTPC's scope, e.g., well control, hole cleaning, stuck pipe and mud contamination. The value gained from monitoring and achieving performance goals is calculated in terms of financial incentives and frequently communicated to the rig teams. More importantly, the change was properly managed, and the leadership team recognized a smooth transition between the previous inefficient RTPC setup and the new data-centric ways of working. Ultimately, the enhanced RTPC with its digital portal, is the knowledge center that showcases Wells Team's continuous improvement and performance driven culture. This strategy of enhancing RTPC's performance though digital initiative can be adapted in other real time centers and it is envisaged that the implementation of these engineering solutions to the RTPC will facilitate practicing engineers to optimize the operational performance and efficiency.

Author(s):  
David A. T. Rodgers

The keys to reliable and efficient coal fired power plant operations are combustion and performance monitoring. For this to occur it is necessary for the plant staff to have adequate tools that will enable them to make intelligent decisions. Success in this endeavor is insured with proper instrumentation, vigilant operations and a real time performance monitor. This paper will cite efforts made toward combustion improvements through the use of pulverizer coal flow enhancements, coal flow monitoring instrumentation and simple coal analysis trending. This paper will also provide examples of the value of a real time performance monitor as a tool for monitoring, identifying and addressing plant efficiency. Examples of the unique capability of tube leak identification using the plant’s performance monitor will be presented.


2017 ◽  
Vol 16 (2) ◽  
pp. 61-76 ◽  
Author(s):  
Anaïs Thibault Landry ◽  
Marylène Gagné ◽  
Jacques Forest ◽  
Sylvie Guerrero ◽  
Michel Séguin ◽  
...  

Abstract. To this day, researchers are debating the adequacy of using financial incentives to bolster performance in work settings. Our goal was to contribute to current understanding by considering the moderating role of distributive justice in the relation between financial incentives, motivation, and performance. Based on self-determination theory, we hypothesized that when bonuses are fairly distributed, using financial incentives makes employees feel more competent and autonomous, which in turn fosters greater autonomous motivation and lower controlled motivation, and better work performance. Results from path analyses in three samples supported our hypotheses, suggesting that the effect of financial incentives is contextual, and that compensation plans using financial incentives and bonuses can be effective when properly managed.


Author(s):  
Lyudmyla Shymanovska-Dianych ◽  
Nataliya Pedchenko

In the article, the existing variety of terms of "efficiency" and "performance" is structured and the features of each concept and the differences between them are defined. The article proves that it is necessary to divide the categories "performance" and "efficiency" for trade enterprises. Each of them has an independent value, equally important for the evaluation of their activities, and can not replace another concept. The authors prove that in a market economy, when the results of the work of some market actors depend on the clarity and coherence of the work of other actors, the problem of efficiency becomes decisive. The article argues that the key to the success of any enterprise, including commercial ones, lies in the continuous improvement of the efficiency and performance of their activities, systematic analysis, development and implementation of measures aimed at increasing its efficiency and performance. The approaches to assessing the efficiency and performance of the enterprise, which most fully cover the key criteria for assessing the efficiency and performance of different enterprises, are analyzed. Despite the obvious differences below the described approaches, they do not exclude each other, but only characterize the operation of the enterprise from different sides. These approaches are based on certain indicators by means of which the analysis, comparison and evaluation of the enterprise is carried out. The authors prove that this system of indicators is not ideal and does not take into account all characteristics of trade enterprises, which influence the efficiency and performance of their activities. Therefore, they suggest expanding this list, adding such indicators as an indicator of the overall assessment of the economic profitability of a trade company, the indicator of the effectiveness of the use of retail space and indirect indicators of profitability.


2014 ◽  
Vol 39 (5) ◽  
pp. 658-663 ◽  
Author(s):  
Xue-Min TIAN ◽  
Ya-Jie SHI ◽  
Yu-Ping CAO

2021 ◽  
Vol 40 (3) ◽  
pp. 1-12
Author(s):  
Hao Zhang ◽  
Yuxiao Zhou ◽  
Yifei Tian ◽  
Jun-Hai Yong ◽  
Feng Xu

Reconstructing hand-object interactions is a challenging task due to strong occlusions and complex motions. This article proposes a real-time system that uses a single depth stream to simultaneously reconstruct hand poses, object shape, and rigid/non-rigid motions. To achieve this, we first train a joint learning network to segment the hand and object in a depth image, and to predict the 3D keypoints of the hand. With most layers shared by the two tasks, computation cost is saved for the real-time performance. A hybrid dataset is constructed here to train the network with real data (to learn real-world distributions) and synthetic data (to cover variations of objects, motions, and viewpoints). Next, the depth of the two targets and the keypoints are used in a uniform optimization to reconstruct the interacting motions. Benefitting from a novel tangential contact constraint, the system not only solves the remaining ambiguities but also keeps the real-time performance. Experiments show that our system handles different hand and object shapes, various interactive motions, and moving cameras.


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