Research Committee Update

2020 ◽  
Vol 39 (6) ◽  
pp. 437-437
Author(s):  
Eileen Martin

Building on past workshops focused on distributed acoustic sensing (DAS), the SEG Research Committee plans to organize a DAS-focused postconvention workshop in 2020 titled “DAS: Advances in fiber-optic sensing over the last decade.” This year's program will continue to showcase cutting-edge fiber-optic technology, case studies in the energy industry, and CO2 sequestration while expanding on novel uses of machine learning with massive DAS data, the use of new open DAS data for improved reproducibility, and the role of DAS in smart cities.

Geophysics ◽  
2019 ◽  
Vol 84 (1) ◽  
pp. D11-D23 ◽  
Author(s):  
Martin Karrenbach ◽  
Steve Cole ◽  
Andrew Ridge ◽  
Kevin Boone ◽  
Dan Kahn ◽  
...  

Hydraulic fracturing operations in unconventional reservoirs are typically monitored using geophones located either at the surface or in the adjacent wellbores. A new approach to record hydraulic stimulations uses fiber-optic distributed acoustic sensing (DAS). A fiber-optic cable was installed in a treatment well in the Meramec formation to monitor the hydraulic fracture stimulation of an unconventional reservoir. A variety of physical effects, such as temperature, strain, and microseismicity are measured and correlated with the treatment program during hydraulic fracturing of the well containing the fiber and also an adjacent well. The analysis of this DAS data set demonstrates that current fiber-optic technology provides enough sensitivity to detect a considerable number of microseismic events and that these events can be integrated with temperature and strain measurements for comprehensive hydraulic fracture monitoring.


2014 ◽  
Author(s):  
S. Perez Lopez ◽  
I. Diaz Hernandez ◽  
D. Tornez Luvio ◽  
M.A. Garcia Ortega ◽  
N.S. Sookram ◽  
...  

2015 ◽  
Vol 31 (6) ◽  
pp. 12-14

Purpose – This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach – This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings – The role of a critic is perhaps one of the most overlooked and misunderstood positions in public life, and by extension so is that of critical perspectives. In film or books, the role of a critic is to contextualize, educate and review artistic endeavor; however, ultimately it is the “thumbs up or thumbs down” judgment that gets the coverage and engages with an audience. Practical implications – The paper provides strategic insights and practical thinking that have influenced some of the world’s leading organizations. Originality/value – The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.


Eos ◽  
2019 ◽  
Vol 100 ◽  
Author(s):  
Herbert Wang ◽  
Xavier Comas ◽  
Scott Tyler

Distributed Acoustic Sensing: Principles and Case Studies; Washington, D.C., 9 December 2018


Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1592
Author(s):  
Biwei Wang ◽  
Yuan Mao ◽  
Islam Ashry ◽  
Yousef Al-Fehaid ◽  
Abdulmoneim Al-Shawaf ◽  
...  

Red palm weevil (RPW) is a detrimental pest, which has wiped out many palm tree farms worldwide. Early detection of RPW is challenging, especially in large-scale farms. Here, we introduce the combination of machine learning and fiber optic distributed acoustic sensing (DAS) techniques as a solution for the early detection of RPW in vast farms. Within the laboratory environment, we reconstructed the conditions of a farm that includes an infested tree with ∼12 day old weevil larvae and another healthy tree. Meanwhile, some noise sources are introduced, including wind and bird sounds around the trees. After training with the experimental time- and frequency-domain data provided by the fiber optic DAS system, a fully-connected artificial neural network (ANN) and a convolutional neural network (CNN) can efficiently recognize the healthy and infested trees with high classification accuracy values (99.9% by ANN with temporal data and 99.7% by CNN with spectral data, in reasonable noise conditions). This work paves the way for deploying the high efficiency and cost-effective fiber optic DAS to monitor RPW in open-air and large-scale farms containing thousands of trees.


2018 ◽  
Vol 34 (10) ◽  
pp. 13-15 ◽  

Purpose Reviews the latest management developments across the globe and pinpoints practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings A clearly-defined CSR programme can lead to key business benefits. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.


2019 ◽  
Vol 4 (8) ◽  
Author(s):  
Fidele Ntie-Kang

Abstract The first part of this chapter provides an overview of computer-based tools (algorithms, web servers, and software) for the prediction of bitterness in compounds. These tools all implement machine learning (ML) methods and are all freely accessible. For each tool, a brief description of the implemented method is provided, along with the training sets and the benchmarking results. In the second part, an attempt has been made to explain at the mechanistic level why some medicinal plants are bitter and how plants use bitter natural compounds, obtained through the biosynthetic process as important ingredients for adapting to the environment. A further exploration is made on the role of bitter natural products in the defense mechanism of plants against insect pest, herbivores, and other invaders. Case studies have focused on alkaloids, terpenoids, cyanogenic glucosides and phenolic derivatives.


2015 ◽  
Vol 32 (1) ◽  
pp. 1-4
Author(s):  
Guru Prakash Prabhakar ◽  
Pankaj Saran

Purpose – This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach – This briefing is prepared by independent writers who add their own impartial comments and place the articles in context. Findings – The role of luck in a leader’s success is not scientifically proven. But many leaders do advocate the efficacy of the luck factor behind a leader’s success. Practical implications – The paper provides strategic insights and practical thinking that have influenced some of the world’s leading organizations. Originality/value – The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.


Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds his/her own impartial comments and places the articles in context. Findings This research looks at the role of chief learning officers (CLOs), at how they create and develop a learning organization, and at what they need to achieve success. There are four main themes behind the role of a CLO: funding and resources; networking, collaboration, and building a community; having a vision and a strategy; and measuring, assessing, and using feedback. Practical implications This paper provides strategic insights and practical thinking that have influenced some of the world’s leading organizations. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.


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