A New Generation of Steerable Drilling Motor is Born - Understand the Unique Geometry, Drilling Benefits and Performance Gains

2021 ◽  
Author(s):  
Steve Jones ◽  
Junichi Sugiura
Keyword(s):  
High Surface ◽  
Bend Angle ◽  
Data Sets ◽  
Rotary Drilling ◽  
Bending Fatigue ◽  
Torsional Response ◽  
Geometry Design ◽  
And Performance ◽  
Performance Gains ◽  
New Generation

Abstract Steerable drilling motors still dominate US shale drilling applications. Shale well construction is commonly planned with monobore vertical, high dogleg-severity (DLS) curve and lateral sections. Limitations arise in each portion of the wellbore because one single bottomhole assembly (BHA) does not provide optimal results; hence, trips are required to optimize the BHA. The main disadvantage with existing steerable drilling motors is the requirement for high bend-angle settings to drill the high DLS curve portion of the wellbore. The geometry of a high bend-angle motor is only optimal for slide drilling the curve, it is not optimal for drilling the vertical and lateral portions of the wellbore. While drilling the vertical and lateral portions of the well, surface RPM (revolutions per minute) must be limited to reduce the cyclic bending fatigue on the large external bend. Not to mention poor wellbore quality while rotary drilling with a large external bend. To overcome this issue, a new geometry design was required. The new-generation motor uses a tilted internal drive mandrel aligned with a small external bend. This combination delivers the best of both worlds, providing high DLS capability while slide drilling and high surface-RPM capability while rotary drilling (because of the small external bend). Compact embedded drilling dynamics data recorders were used to validate the dynamic improvement of the new steerable-drilling-motor geometry versus older-style geometry with large external bend. The embedded sensors recorded at-point dynamics of shock and torsional response providing detailed comparative data sets during the development phase. The new-generation steerable-drilling-motor technology utilizes point-the-bit rotary-steerable-system (RSS) methods (for example, a tilted mandrel) with conventional steerable-motor methods (for example, an external bend). The combination of the internal tilt and external bend (aligned together) provides a completely new geometry for a steerable motor. This new geometry is beneficial for high DLS sliding capability, high surface-RPM rotary drilling and improved borehole quality (slide/rotate transition and rotary mode). This new steerable drilling motor with enhanced geometry was utilized to prove delivery of vertical/curve/lateral in one run, consistent DLS through the curve and improved tracking in the lateral. The results from development testing (comparing to older-geometry motors) will be described in this paper.

A New Type of Surfactant in the Synthesis and Performance Evaluation

2013 ◽  
Vol 774-776 ◽  
pp. 960-963
Author(s):  
Qing Wang Liu ◽  
Pan Niu
Keyword(s):  
Performance Evaluation ◽  
Surface Activity ◽  
Gemini Surfactants ◽  
High Surface ◽  
Chemical Compounds ◽  
Theoretical Support ◽  
New Type ◽  
And Performance ◽  
New Generation ◽  
High Surface Activity

Gemini surfactants are chemical compounds known as new generation of surfactants that their molecules has two hydrophilic groups ,two hydrophobic groups and a spacer.They have low CMC value and high surface activity.Gemini surfactants are inapproachable by any surfactants that are used for TOR nowadays.This essay is meant to solve the problems faced in the territory by using the remarkably high surface activity,introducing Gemini surfactants to TOR and launch series of experiments.Meanwhile,it provides technical and theoretical support for applying Gemini surfactants into the field.

Information Theoretic Analysis and Performance Gains of 3-Color Shift Keying

2021 ◽  
pp. 1-1
Author(s):  
Alexandros E. Tzikas ◽  
Panagiotis D. Diamantoulakis ◽  
George K. Karagiannidis
Keyword(s):  
Theoretic Analysis ◽  
Information Theoretic ◽  
Color Shift ◽  
Shift Keying ◽  
And Performance ◽  
Performance Gains

Recovery from memory failure when recalling a memorized performance: The role of musical structure and performance cues

2021 ◽  
pp. 102986492110254
Author(s):  
Roger Chaffin ◽  
Jane Ginsborg ◽  
James Dixon ◽  
Alexander P. Demos
Keyword(s):  
Vocal Music ◽  
Musical Structure ◽  
Public Performance ◽  
Memory Failure ◽  
And Performance ◽  
Written Recall ◽  
Performance Gains ◽  
Over Time

To perform reliably and confidently from memory, musicians must able to recover from mistakes and memory failures. We describe how an experienced singer (the second author) recovered from mistakes and gaps in recall as she periodically recalled the score of a piece of vocal music that she had memorized for public performance, writing out the music six times over a five-year period following the performance. Five years after the performance, the singer was still able to recall two-thirds of the piece. When she made mistakes, she recovered and went on, leaving gaps in her written recall that lengthened over time. We determined where in the piece gaps started ( losses) and ended ( gains), and compared them with the locations of structural beats (starts of sections and phrases) and performance cues ( PCs) that the singer reported using as mental landmarks to keep track of her progress through the piece during the sung, public performance. Gains occurred on structural beats where there was a PC; losses occurred on structural beats without a PC. As the singer’s memory faded over time, she increasingly forgot phrases that did not start with a PC and recovered at the starts of phrases that did. Our study shows how PCs enable musicians to recover from memory failures.

A Reliability-Based Approach to Assess Fatigue Behaviour Based on Small Incomplete Data Sets

2008 ◽  
Vol 44-46 ◽  
pp. 871-878 ◽  
Author(s):  
Chu Yang Luo ◽  
Jun Jiang Xiong ◽  
R.A. Shenoi
Keyword(s):  
Incomplete Data ◽  
Standard Procedure ◽  
Fatigue Behaviour ◽  
Fatigue Tests ◽  
Small Sample ◽  
Data Sets ◽  
Safe Life ◽  
A New Technique ◽  
And Performance

This paper outlines a new technique to address the paucity of data in determining fatigue life and performance based on reliability concepts. Two new randomized models are presented for estimating the safe life and pS-N curve, by using the standard procedure for statistical analysis and dealing with small sample numbers of incomplete data. The confidence level formulations for the safe and p-S-N curve are also given. The concepts are then applied for the determination of the safe life and p-S-N curve. Two sets of fatigue tests for the safe life and p-S-N curve are conducted to validate the presented method, demonstrating the practical use of the proposed technique.

Health, comfort and performance of children in classrooms – New directions for research

2016 ◽  
Vol 26 (8) ◽  
pp. 1040-1050 ◽  
Author(s):  
Philomena M. Bluyssen
Keyword(s):  
School Environment ◽  
Learning Ability ◽  
Toxic Exposure ◽  
Literature Study ◽  
New Directions ◽  
And Performance ◽  
New Generation ◽  
Acoustic Conditions

Children spend more time in schools than in any other place except at home. Children are more susceptible than adults to effects of toxic exposure, but also to poor acoustic conditions. It is known for some time that unsatisfactory environmental conditions, can have both short-term and long-term health effects, and can affect productivity or learning ability of the children. The underlying literature study focusses on the role of the indoor school environment on the health, comfort and performance of children in classrooms. In the last decades, many studies all over the world have been performed to document the indoor environment in classrooms and to examine relations with diseases and disorders. An inventory is made of these studies, major identified issues are discussed and ‘new’ directions of research are proposed. It is concluded that new generation research studies should be focussed on engagement of the children in an active way, preferable in semi-lab environments, and taking account of all aspects and interactions between them.

scholarly journals The Social Contexts of Resilient Architecture

2021 ◽  
pp. 625-645
Author(s):  
Terri Peters
Keyword(s):  
Natural Resources ◽  
Environmental Performance ◽  
Climate Adaptation ◽  
Well Being ◽  
Social Contexts ◽  
The Social ◽  
Resilient Design ◽  
Design Projects ◽  
And Performance ◽  
New Generation

In architecture, the term resilience tends to be used narrowly describe a building’s structural and environmental performance in quantitative terms—but can a building be called resilient if it fails to make inspiring spaces for people, promote well-being, or improve people’s experience? The chapter begins by exploring how the term is currently evaluated in and around buildings, through discussion of related concepts such as sustainability, passive survivability, and performance gaps. The chapter traces the emergence of a new generation of building evaluation metrics and certification systems that are focused not solely on environmental performance but also consider synergies between people’s experience and our natural resources, such as Active House. The work of GXN and 3XN in Denmark are discussed, in relation to how their research explores resilience and sustainability by focusing on the social aspects of how buildings make people feel. Examples from the multifunctional, process-based strategies used in a series of new climate adaptation renovations in Copenhagen, Denmark, are discussed as exemplary resilient design projects that address neighborhood flooding by simultaneously improving the qualities of public spaces and better connecting people to nature. The chapter concludes with a discussion of how locally specific and socially focused designs can support more resilient environments for people.

scholarly journals Using Learning Analytics to Assess Student Learning in Online Courses

2016 ◽  
Vol 13 (3) ◽  
pp. 110-130 ◽  
Author(s):  
Florence Martin ◽  
◽  
Abdou Ndoye ◽  
Keyword(s):  
Learning Analytics ◽  
Data Analytics ◽  
Qualitative Data ◽  
Online Courses ◽  
Instructional Designers ◽  
Data Sets ◽  
Online Assessments ◽  
Visualization Tools ◽  
And Performance ◽  
Analyze Data

Learning analytics can be used to enhance student engagement and performance in online courses. Using learning analytics, instructors can collect and analyze data about students and improve the design and delivery of instruction to make it more meaningful for them. In this paper, the authors review different categories of online assessments and identify data sets that can be collected and analyzed for each of them. Two different data analytics and visualization tools were used: Tableau for quantitative data and Many Eyes for qualitative data. This paper has implications for instructors, instructional designers, administrators, and educational researchers who use online assessments.

scholarly journals Silica-Based Composites with Enhanced Rheological Properties Thanks to a Nanosized Graphite Functionalized with Serinol Pyrrole

2021 ◽  
Vol 11 (23) ◽  
pp. 11410
Author(s):  
Gea Prioglio ◽  
Silvia Agnelli ◽  
Stefano Pandini ◽  
Maurizio Galimberti
Keyword(s):  
Rheological Properties ◽  
High Surface ◽  
High Surface Area ◽  
Minor Amount ◽  
Carbon Filler ◽  
Hybrid Filler ◽  
Carbon Efficiency ◽  
Dynamic Rigidity ◽  
A Minor ◽  
New Generation

Silica-based rubber composites have tremendous importance, as they allow the reduction in hysteresis in demanding dynamic-mechanical applications such as tire compounds and hence have a lower environmental impact. However, they also present drawbacks such as poor rheological behavior. In this work, an innovative silica-based hybrid filler system was developed, obtaining a rubber composite with an improved set of properties. A nanosized high surface area graphite (HSAG) was functionalized with 2-(2,5-dimethyl-1H-pyrrol-1-yl)propane-1,3-diol, serinol pyrrole (SP), through a simple process characterized by a high carbon efficiency. The HSAG-SP adduct, with about nine parts of SP per hundred parts of carbon filler, was used to form a hybrid filler system with silica. An elastomeric composite, with poly(styrene-co-butadiene) from anionic polymerization and poly(1,4-cis-isoprene) from Hevea brasiliensis was prepared with 50 parts of silica, which was replaced in a minor amount (15%) by either pristine HSAG or HSAG-SP. The best set of composite properties was obtained with HSAG-SP: the same dynamic rigidity and hysteresis and tensile properties of the silica-based material and appreciably better rheological properties, particularly in terms of flowability. This work paves the way for a new generation of silica-based composites, with improved properties, based on a hybrid filler system with a nanosized edge functionalized graphite.

A Real-Time Log Analyzer Based on MongoDB

2014 ◽  
Vol 571-572 ◽  
pp. 497-501 ◽  
Author(s):  
Qi Lv ◽  
Wei Xie
Keyword(s):  
Real Time ◽  
Large Scale ◽  
Performance Comparison ◽  
Log Analysis ◽  
Data Sets ◽  
Time Data ◽  
Real Time Analysis ◽  
Large Scale Data ◽  
Implementation Approach ◽  
And Performance

Real-time log analysis on large scale data is important for applications. Specifically, real-time refers to UI latency within 100ms. Therefore, techniques which efficiently support real-time analysis over large log data sets are desired. MongoDB provides well query performance, aggregation frameworks, and distributed architecture which is suitable for real-time data query and massive log analysis. In this paper, a novel implementation approach for an event driven file log analyzer is presented, and performance comparison of query, scan and aggregation operations over MongoDB, HBase and MySQL is analyzed. Our experimental results show that HBase performs best balanced in all operations, while MongoDB provides less than 10ms query speed in some operations which is most suitable for real-time applications.

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