Planning for LOTOS: A New LOwer Troposphere Observing System

2020 ◽  
Author(s):  
Terry Hock ◽  
Tammy Weckwerth ◽  
Steve Oncley ◽  
William Brown ◽  
Vanda Grubišić ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Real Time ◽  
Sensor Network ◽  
Regional Scale ◽  
Lower Troposphere ◽  
Integrated System ◽  
Lower Atmosphere ◽  
Time Data ◽  
Wide Range ◽  
Real Time Data

<p>The National Center for Atmospheric Research Earth Observing Laboratory (EOL) proposes to develop the LOwer Troposphere Observing System (LOTOS), a new integrated sensor network that offers the potential for transformative understanding of the lower atmosphere and its coupling to the Earth's surface. </p><p> </p><p>The LOTOS sensor network is designed to allow simultaneous and coordinated sampling both vertically, through the atmospheric planetary boundary layer, and horizontally, across the surrounding landscape, focusing on the land-atmosphere interface and its coupling with the overlying free troposphere. The core of LOTOS will be a portable integrated network of up to five nodes, each consisting of a profiling suite of instruments surrounded by up to fifteen flux measuring towers. LOTOS will provide an integrated set of measurements needed to address outstanding scientific challenges related to processes within the atmospheric surface layer, boundary layer, and lower troposphere. LOTOS will also enable novel quantification of exchanges of biogeochemical and climate-relevant gases from microscale up to regional scale. </p><p> </p><p>LOTOS’ uniqueness lies in its ability to simultaneously sample both horizontally and vertically as an integrated system, but also in its flexibility to be easily relocated as a portable field-deployable system suitable for addressing a wide range of research needs. LOTOS will provide real-time data quality control, combine measurements from a variety of sensors into integrated data products, and provide real-time data displays. It is envisioned that LOTOS will become part of the deployable NSF Lower Atmosphere Observing Facilities (LAOF) and thus be available to a broad base of NSF users from both observational and modeling communities. LOTOS offers the potential for transformative understanding of the Earth and its atmosphere as a coupled system. This presentation will describe the background, motivation, plan, and timeline for the LOTOS’ proposed development.</p>

scholarly journals Real-Time Data Fusion Applications in Embedded Sensor Network using TATAS

2017 ◽  
Vol 10 (13) ◽  
pp. 1-7 ◽  
Author(s):  
Dileep Reddy Bolla ◽  
J. J. Jijesh ◽  
M. S. Pramod ◽  
Shivashankar ◽  
◽  
...  
Keyword(s):  
Data Fusion ◽  
Real Time ◽  
Sensor Network ◽  
Time Data ◽  
Real Time Data ◽  
Fusion Applications

Implementation of a Digital Roadmap with Best-in-Class Applications

2021 ◽  
Author(s):  
John McIntosh ◽  
Renata Martin ◽  
Pedro Alcala ◽  
Stian Skjævesland ◽  
John Rigg
Keyword(s):  
Real Time ◽  
Case Studies ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Third Party ◽  
Commercial Application ◽  
Time Data ◽  
Operating Model ◽  
Wide Range ◽  
Real Time Data

Abstract The paper describes a project known internally as "InWell" to address multiple requirements in Repsol Drilling & Completions. InWell is defined by a new Operating Model comprising Governance, People, Process, Functions and Technology. This paper addresses changes to the Technology element - often referred to as "Digitalization". The paper includes a discussion about the business transformation strategy and case studies for addressing three of 18 functionalities identified in the first round of development. The InWell development strategy followed four steps; identification of performance issues, envisioning of a future operating model, identification of functionalities required/supporting this operating model and matching to digital solutions. Our case studies focus on three functionalities provided by three separate companies, Unification of Planning and Compliance, Real Time Data aggregation and Key Performance Indicators. Each functionality was addressed with an existing commercial application customized to meet specific requirements. A corporate web-based Well Construction Process (WCP) was initially piloted and then extended to include all well projects. The WCP identifies the key Tasks that must be completed per project, and these are all tracked. Data from this application is used by a third-party Business Analytics application via an API. Real time data from many sites and a wide range of sources was aggregated and standardized, Quality Controlled and stored within a private secure cloud. The data collation service is an essential building block for current third-party applications such as the operating centre and is a prerequisite for the goal of increased automation. A suite of Operator specific Key Performance Indicators (KPIs) and data analytics services were developed for drilling and completions. Homogenized KPIs for all business units provide data for objective performance management and apples-to-apples comparison. Results are presented via custom dashboards, reports, and integrations with third party applications to meet a wide range of requirements. During a four-month Pilot Phase the InWell Project delivered € 2.5 million in tangible savings through improvements in operational performance. In the first 12 months € 16 million in savings were attributed to InWell. By 2022 forecast savings are expected to exceed € 60 million (Figures 1 & 2). The value of Intangible benefits is thought to exceed these objective savings. Figure 1 The Business Case for InWell – Actual & Projected Savings and Costs. Figure 2 InWell Services addressing Value Levers and quantified potential impact. A multi-sourced digital strategy can produce quick gains, is easily adapted, and provides high value at low risk. The full benefit of digital transformation can only be realised when supported by an effective business operating model.

Real-time data acquisition system with wireless sensor network on damped harmonic motion

2021 ◽  
Vol 56 (5) ◽  
pp. 053004
Author(s):  
H Saputra ◽  
A Suhandi ◽  
A Setiawan ◽  
A Permanasari ◽  
R A Putra
Keyword(s):  
Wireless Sensor Network ◽  
Data Acquisition ◽  
Real Time ◽  
Sensor Network ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Wireless Sensor ◽  
Time Data ◽  
Harmonic Motion ◽  
Real Time Data

An Integrated System for Drilling Real Time Data Analytics

2016 ◽  
Author(s):  
Ahmed M. Alsalama ◽  
Joseph P. Canlas ◽  
Salem H. Gharbi
Keyword(s):  
Real Time ◽  
Data Analytics ◽  
Integrated System ◽  
Time Data ◽  
Real Time Data
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