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.

The Study of Motor Winding Testing System for Inter-Turn with 30kV

2013 ◽  
Vol 278-280 ◽  
pp. 831-834 ◽  
Author(s):  
Xiao Sun ◽  
Hao Zhou ◽  
Xiang Jiang Lu ◽  
Yong Yang
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Field Test ◽  
Performance Indicators ◽  
Testing System ◽  
Time Data ◽  
Process Data ◽  
Real Time Data ◽  
Long Time ◽  
Factory Testing

This paper designed a motor winding testing system, it can do the dielectric withstand voltage test of inter-turn under 30kV.The system can communicate effectively between PC and machine, by using the PC's powerful capacity of process data and PLC's better stability and the Labview's convenient UI. So the system has real-time data collection, preservation, analysis and other characteristics. This system is able to achieve factory testing and type testing of the motor windings facilitating. Various performance indicators were stable and reliable by field test during a long time.

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>

Real Time Data Integration Based on the GIS Pipeline Infrastructure for the Management of the Gas and Power Business

2006 ◽  
Author(s):  
Fernando Jose´ de Carvalho Salcedo ◽  
Ronaldo Jose´ Seixas de Carvalho
Keyword(s):  
Data Integration ◽  
Real Time ◽  
Performance Indicators ◽  
Historical Data ◽  
Geographical Information ◽  
Main Process ◽  
Business Unit ◽  
Time Data ◽  
The Real ◽  
Real Time Data

The Strategic Data and Information Management (GEDI, as per Portuguese initials) in PETROBRAS (Brazilian oil company - Gas & Power Business Unit), has as its main process to turn available the most correct and updated information to the related user, using the adequate means to access and capture of data, coming from a variety of sources, in order to add strategic value to business. The SCADA system (Supervisory Control And Data Acquisition) integrates the facilities of thermo electrical plant and pipeline with the field, including operational stations, measurements and energy deliveries. The Geographical Information Systems (GIS) allows the use of maps to visualize the geopolitics aspects, gas pipeline infrastructure and satellite images. The historical data systems has as its requirements, the interface among many SCADA systems, through the tracking of historical data, common process variables real time data (flow, pressure, temperature, etc.) and KPI’s visualization (typical performance indicators of energy systems such as unavailability, generation efficiency, distribution, etc.). Based on the business systemic vision, the Real-Time Enterprise Architecture (real time data integration and performance indicators based on the GIS software platform ) was developed for PETROBRAS, Gas & Power Business Unit (GPBU) enterprise scenario. The present work has its focus in the real time visualization of integrated data, coming from gas pipelines and thermo electrical plants GIS infra-structure, guaranteeing the integrity, the audit trail of information and a proactive vision for the GPBU management.

scholarly journals An Empirical Analysis of using Blockchain Tech-nology with Internet of Things and its Application

2019 ◽  
Vol 8 (9S3) ◽  
pp. 1469-1475
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Third Party ◽  
Time Data ◽  
Privacy And Security ◽  
Third Party Intervention ◽  
Security Issues ◽  
Blockchain Technology ◽  
Real Time Data ◽  
Iot Devices

Blockchain technology uses the cryptographic technique to create expanding list of data records called blocks. Along with transaction and timestamp data, each block holds a hash value obtained using cryptographic technique. Blockchain gains importance for its decentralized data transaction and authorization without the need for third-party intervention. Although, it is mostly used in Finance sector these days, due to its inherent ability to protect data it can be applied to every field of computation especially in fields where data transaction is voluminous. Internet of Things (IoT) is one such area where it involves collection, transfer and processing of real time data from objects, humans and sensors to automate various tasks. Hence, this paper reviews the blockchain technology, and how it can be coupled with IoT to overcome the privacy and security issues. This paper first systematically introduces the concept of blockchain technology, its applications along with the need for IoT devices and its implementation. Finally, it discusses the blockchain based IoT (BIoT) its architecture, advantages, challenges in implementation

The Power of Real-Time Monitoring and Interpretation in Wireline Formation Testing-Case Studies

2007 ◽  
Vol 10 (03) ◽  
pp. 241-250 ◽  
Author(s):  
Hani Elshahawi ◽  
Mohamed Naguib Hashem ◽  
Daniel McKinney ◽  
Mario Ardila ◽  
Cosan Ayan
Keyword(s):  
Real Time ◽  
Case Studies ◽  
Real Time Monitoring ◽  
Time Data ◽  
Virtual Collaboration ◽  
Evaluation Program ◽  
Field Development ◽  
Reservoir Architecture ◽  
Fluid Analysis ◽  
Wide Range

Summary Modern wireline formation testers (WFTs) are able to collect a massive amount of data at multiple depths, thus helping to quantify changes in rock and fluid properties along the wellbore, to define hydraulic flow units, and to understand the reservoir architecture. They are being used routinely in a wide range of applications spanning pressure and mobility profiling vs. depth, fluid sampling, downhole fluid analysis (DFA), interval pressure-transient testing (IPTT), and microfracturing. Because of the complex tool strings and the elaborate operational aspects involved in wireline formation testing, success requires detailed upfront planning and procedural design as well as real-time operational and interpretational support. It is becoming increasingly critical for operating and service company experts to remotely monitor and interpret WFT surveys in real time through Web-based systems. The importance of meeting all rock and fluid data-acquisition objectives cannot be overstated, given the high cost of offshore operations and the implications of obtaining false or misleading information. The main objective of real-time monitoring remains to assure that the planned data are acquired according to pre-established procedures and contingency plans. However, even in developed reservoirs, unexpected circumstances arise, requiring immediate response and modifications to the preplanned job procedures. Unexpectedly low or high mobilities, probe plugging, unanticipated fluid types, the presence of multiple phases, and excessive fluid contamination are but a few examples of such circumstances that would require real-time decision making and procedural modifications. Real-time decisions may include acquiring more pressure data points, extending sampling depths to several zones, extending or shortening sampling times, and repeating microhydraulic fracture reopening/closure cycles, as well as real-time permeability, composition, or anisotropy interpretation to determine optimum transient durations. This paper describes several examples of formation tester surveys that have been remotely monitored in real time to ensure that all WFT evaluation objectives are met. The power of real-time monitoring and interpretation will be illustrated through these case studies. Introduction WFT has become a standard part of the evaluation program of most newly drilled wells, but the objectives vary from offshore deepwater exploration and appraisal wells to old cased-hole and development wells later in the life of a field. Given the wide range of applications and combinations, each WFT evaluation program is unique. Some may include only a pressure-gradient survey for reservoir depletion and communication information, whereas others may seek information on the precise nature of the hydrocarbon fluids and water in terms of chemical and physical properties, phase behavior, and commingling tendencies. Cased-hole surveys might look for bypassed hydrocarbon zones or have objectives that could not be achieved during the openhole phase. Regardless of the type of survey performed, understanding the exploration and appraisal or field-development objectives and translating these into acquisition objectives is essential for success. Figs. 1 and 2 schematically illustrate the real-time monitoring concept. Real-time data are viewable by authorized personnel anywhere around the world, thus allowing virtual collaboration between field staff and off-site service- and operating-company experts throughout the operation. This paper includes several examples of WFT surveys that were monitored and supervised in real time. The cases presented span the entire spectrum of WFT applications including pressures, gradients, sampling, downhole fluid analysis (DFA), IPTT, and microfracturing. The power of real time monitoring and interpretation is clearly illustrated by these examples.

Digitalization for Effective Performance Management Using Key Performance Indicators in Miscible Gas Injection Projects in South Oman

2021 ◽  
Author(s):  
Kamlesh Kumar ◽  
Tushar Narwal ◽  
Zaal Alias ◽  
Pankaj Agrawal ◽  
Ali Farsi ◽  
...  
Keyword(s):  
Performance Management ◽  
Real Time ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Production Optimization ◽  
Utilization Efficiency ◽  
Analysis Tool ◽  
Time Data ◽  
Short Term ◽  
Web Based

Abstract South Oman has several pre-Cambrian reservoirs that are highly pressured (400-1000 bar), deep (3-5 km) and critically sour (H2S up to 10%). The combined STOIIP of these reservoirs makes it one of the largest gas EOR projects in the world. The objective here is to highlight the key performance indicators and digitalization techniques used for continuous and effective well, reservoir and facility management (WRFM) and production optimization, while honoring the facility constraints and gas export requirements. Real time pressure data such as tubing head pressures, injection/production rates along with other data including maps, static pressures and production logs are used to define an appropriate set of performance metric at various levels, e.g. reservoir, sector or well. Digitalization of surveillance data helps in real time production optimization such as offtake management based on creaming curves according to gas sink availability and facility constraints. Key business performance indicators include gas utilization efficiency; MGI performance indicators include incremental oil, throughput, instantaneous and cumulative voidage replacement ratios, gas breakthrough level and time, ratio of reservoir pressure to the target minimum miscibility pressure; and facility constraints are optimized through gas balance, along with tracking field performance against the initial FDP forecasts. Real time performance data is tracked using a commercial Real-Time Data Analysis tool (RTDA) and Database Analytics Visualization Tool (DAVT), with surveillance indicators targeted at well, reservoir and facility level. The above-defined Key Performance Indicators (KPI) are tracked against predictions from the field development plan in web-based portal developed at PDO (Nibras). Digitalization has enabled quick and effective monitoring of these KPI, short-term optimization of injection distribution and offtake rates to maximize oil production and overall value within facilities constraints and varying export gas commitments based on South Oman Gas Line (SOGL) network optimization. Using dimensionless plots and a standardized set of parameters help in developing a common understanding and benchmarking the MGI reservoir response with analogs and amongst different reservoirs. This work presents a set of performance KPIs and short-term optimization methodology using digitalization and LEAN framework that are tracked in a web-based portal, RTDA and DAVT. It provides means to facilitate offtake decisions to meet variable export requirements while honoring facilities constraints, assess reservoir performance, providing valuable insights that helps in speedy reservoir management decisions. This process has been replicated across PDO for all related MGI projects and can benefit other development types, e.g. chemical/steam injection.

399-P: Nurse-Driven Intervention Using Real-Time Data to Improve Hypoglycemia Rates in a Respiratory Care Unit

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 399-P
Author(s):  
ANN MARIE HASSE ◽  
RIFKA SCHULMAN ◽  
TORI CALDER
Keyword(s):  
Real Time ◽  
Respiratory Care ◽  
Time Data ◽  
Real Time Data
Sign in / Sign up

Export Citation Format

Share Document