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.

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.

IIOT and Real Time Data Analytics - Maximizing the Impact on Safety and Productivity

2021 ◽  
Author(s):  
Ryan Daher ◽  
Nesma Aldash
Keyword(s):  
Real Time ◽  
Case Studies ◽  
Data Analytics ◽  
Contact Tracing ◽  
Time Data ◽  
Seamless Integration ◽  
Location Services ◽  
Industrial Internet ◽  
Potential Applications ◽  
The Impact

Abstract With the global push towards Industry 4.0, a number of leading companies and organizations have invested heavily in Industrial Internet of Things (IIOT's) and acquired a massive amount of data. But data without proper analysis that converts it into actionable insights is just more information. With the advancement of Data analytics, machine learning, artificial intelligence, numerous methods can be used to better extract value out of the amassed data from various IIOTs and leverage the analysis to better make decisions impacting efficiency, productivity, optimization and safety. This paper focuses on two case studies- one from upstream and one from downstream using RTLS (Real Time Location Services). Two types of challenges were present: the first one being the identification of the location of all personnel on site in case of emergency and ensuring that all have mustered in a timely fashion hence reducing the time to muster and lessening the risks of Leaving someone behind. The second challenge being the identification of personnel and various contractors, the time they entered in productive or nonproductive areas and time it took to complete various tasks within their crafts while on the job hence accounting for efficiency, productivity and cost reduction. In both case studies, advanced analytics were used, and data collection issues were encountered highlighting the need for further and seamless integration between data, analytics and intelligence is needed. Achievements from both cases were visible increase in productivity and efficiency along with the heightened safety awareness hence lowering the overall risk and liability of the operation. Novel/Additive Information: The results presented from both studies have highlighted other potential applications of the IIOT and its related analytics. Pertinent to COVID-19, new application of such approach was tested in contact tracing identifying workers who could have tested positive and tracing back to personnel that have been in close proximity and contact therefore reducing the spread of COVID. Other application of the IIOT and its related analytics has also been tested in crane, forklift and heavy machinery proximity alert reducing the risk of accidents.

scholarly journals Separating damage from environmental effects affecting civil structures for near real-time damage detection

2017 ◽  
Vol 17 (4) ◽  
pp. 850-868 ◽  
Author(s):  
William Soo Lon Wah ◽  
Yung-Tsang Chen ◽  
Gethin Wyn Roberts ◽  
Ahmed Elamin
Keyword(s):  
Damage Detection ◽  
Real Time ◽  
Environmental Effects ◽  
Environmental Conditions ◽  
Principal Component ◽  
Detection Methods ◽  
Real Time Monitoring ◽  
Civil Structures ◽  
Data Set ◽  
Wide Range

Analyzing changes in vibration properties (e.g. natural frequencies) of structures as a result of damage has been heavily used by researchers for damage detection of civil structures. These changes, however, are not only caused by damage of the structural components, but they are also affected by the varying environmental conditions the structures are faced with, such as the temperature change, which limits the use of most damage detection methods presented in the literature that did not account for these effects. In this article, a damage detection method capable of distinguishing between the effects of damage and of the changing environmental conditions affecting damage sensitivity features is proposed. This method eliminates the need to form the baseline of the undamaged structure using damage sensitivity features obtained from a wide range of environmental conditions, as conventionally has been done, and utilizes features from two extreme and opposite environmental conditions as baselines. To allow near real-time monitoring, subsequent measurements are added one at a time to the baseline to create new data sets. Principal component analysis is then introduced for processing each data set so that patterns can be extracted and damage can be distinguished from environmental effects. The proposed method is tested using a two-dimensional truss structure and validated using measurements from the Z24 Bridge which was monitored for nearly a year, with damage scenarios applied to it near the end of the monitoring period. The results demonstrate the robustness of the proposed method for damage detection under changing environmental conditions. The method also works despite the nonlinear effects produced by environmental conditions on damage sensitivity features. Moreover, since each measurement is allowed to be analyzed one at a time, near real-time monitoring is possible. Damage progression can also be given from the method which makes it advantageous for damage evolution monitoring.

Potential use of real‐time data capture and job‐tracking technology in the field

Facilities ◽  
2005 ◽  
Vol 23 (1/2) ◽  
pp. 31-46 ◽  
Author(s):  
Seán T. McAndrew ◽  
Chimay J. Anumba ◽  
Tarek M. Hassan ◽  
Alistair K. Duke
Keyword(s):  
Real Time ◽  
Case Studies ◽  
New Technology ◽  
Facilities Management ◽  
Application Service Provider ◽  
Time Data ◽  
Web Based ◽  
Content Type ◽  
Application Service ◽  
Current State

PurposeThe purpose of the paper is to discuss the scope for improving the delivery of FM services through the use of wireless web‐based communications infrastructure, delivered via an application service provider (ASP) business model. This paper discusses the findings from case studies of three organisations and their approach to the management of facilities.Design/methodology/approachAn investigation was undertaken to ascertain the current state of play in terms of managing and tracking processes within the facilities management department of three different organisations. These case studies were chosen from distinct sectors, namely health care, higher education, and banking. Emphasis is placed on analysing how the organisations currently operate with their existing FM systems and the degree of influence technology has on existing processes. This was considered mainly in terms of computer‐aided facilities management (CAFM) and computer‐integrated facilities management (CIFM).FindingsThe study found that a new wireless web‐based service for FM systems would be considered useful. Although notoriously slow adopters of new technology, there was an acceptance by the facilities managers interviewed that a wireless web‐based approach would improve current practice, especially with respect to real‐time job reporting and tracking and in the determination of FM operative working time utilisation.Practical implicationsFurther work by the author is focusing on the development of a suitable demonstrator to illustrate the key concepts of a wireless web‐based FM service which will then be tested and evaluated. For further information, visit the research project web site at www.wirelessfm.org Originality/value – The paper hopefully stimulates discussion in the area of emerging wireless technologies that have the potential to streamline and improve current practices for the management of facilities, in particular that of real‐time job reporting and tracking.

scholarly journals A Process Analytical Concept for In-Line FTIR Monitoring of Polysiloxane Formation

Polymers ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 2473
Author(s):  
Julia C. Steinbach ◽  
Markus Schneider ◽  
Otto Hauler ◽  
Günter Lorenz ◽  
Karsten Rebner ◽  
...  
Keyword(s):  
Process Control ◽  
Real Time ◽  
Time Course ◽  
Morphological Changes ◽  
Univariate Analysis ◽  
Principal Component ◽  
Synthesis Process ◽  
Real Time Monitoring ◽  
Wide Range ◽  
Batch Modelling

The chemical synthesis of polysiloxanes from monomeric starting materials involves a series of hydrolysis, condensation and modification reactions with complex monomeric and oligomeric reaction mixtures. Real-time monitoring and precise process control of the synthesis process is of great importance to ensure reproducible intermediates and products and can readily be performed by optical spectroscopy. In chemical reactions involving rapid and simultaneous functional group transformations and complex reaction mixtures, however, the spectroscopic signals are often ambiguous due to overlapping bands, shifting peaks and changing baselines. The univariate analysis of individual absorbance signals is hence often only of limited use. In contrast, batch modelling based on the multivariate analysis of the time course of principal components (PCs) derived from the reaction spectra provides a more efficient tool for real-time monitoring. In batch modelling, not only single absorbance bands are used but information over a broad range of wavelengths is extracted from the evolving spectral fingerprints and used for analysis. Thereby, process control can be based on numerous chemical and morphological changes taking place during synthesis. “Bad” (or abnormal) batches can quickly be distinguished from “normal” ones by comparing the respective reaction trajectories in real time. In this work, FTIR spectroscopy was combined with multivariate data analysis for the in-line process characterization and batch modelling of polysiloxane formation. The synthesis was conducted under different starting conditions using various reactant concentrations. The complex spectral information was evaluated using chemometrics (principal component analysis, PCA). Specific spectral features at different stages of the reaction were assigned to the corresponding reaction steps. Reaction trajectories were derived based on batch modelling using a wide range of wavelengths. Subsequently, complexity was reduced again to the most relevant absorbance signals in order to derive a concept for a low-cost process spectroscopic set-up which could be used for real-time process monitoring and reaction control.

Automatic Weather Stations: Tools for Managing and Monitoring Potential Impacts to Coral Reefs

2002 ◽  
Vol 36 (1) ◽  
pp. 29-38 ◽  
Author(s):  
Ray Berkelmans ◽  
Jim C. Hendee ◽  
Paul A. Marshall ◽  
Peter V. Ridd ◽  
Alan R. Orpin ◽  
...  
Keyword(s):  
Environmental Management ◽  
Real Time ◽  
Coastal Development ◽  
Environmental Data ◽  
Limiting Factors ◽  
Data Types ◽  
Time Data ◽  
Effective Manner ◽  
Wide Range ◽  
Weather Stations

With recent technological advances and a reduction in the cost of automatic weather stations and data buoys, the potential exists for significant advancement in science and environmental management using near real-time, high-resolution data to predict biological and/or physical events. However, real-world examples of how this potential wealth of data has been used in environmental management are few and far between. We describe in detail two examples where near real-time data are being used for the benefit of science and management. These include a prediction of coral bleaching events using temperature, light and wind as primary predictor variables, and the management of a coastal development where dynamic discharge quality limits are maintained with the aid of wind data as a proxy for turbidity in receiving waters. We argue that the limiting factors for the use of near real-time environmental data in management is frequently not the availability of the data, but the lack of knowledge of the quantitative relationships between biological/physical processes or events and environmental variables. We advocate renewed research into this area and an integrated approach to the use of a wide range of data types to deal with management issues in an innovative, cost-effective manner.

Application of Real-Time Monitoring and Data Web Sharing to Landslides

2012 ◽  
Vol 166-169 ◽  
pp. 2787-2793
Author(s):  
Hong De Wang ◽  
Qi Lang Le ◽  
Xiu Yuan Yang ◽  
You Long Gao
Keyword(s):  
Communication Network ◽  
Real Time ◽  
Communication Technologies ◽  
The Internet ◽  
Massive Data ◽  
Real Time Monitoring ◽  
Time Data ◽  
Geologic Hazard ◽  
Data Elements ◽  
Central Station

Acquiring instant information and sharing massive data are indispensable elements in social informatization. Real-time monitoring is realized with the support of computer and communication technologies. The monitoring facilities which are controlled by communication network terminal computers would collect and transfer data according to established procedures or real-time instructions. That is, data could be acquired under all weather and no duty conditions. Then the acquired massive data could be widely shared by issuing on Internet Web. This whole procedure is called real-time monitoring. Demonstration station for real-time monitoring and prewarning is just used to issue monitoring instructions, collect and transfer real-time data through GPRS wireless network between local monitoring stations and central station on the basis of computer and modern communication technologies. So the monitoring data elements could be gathered on central station server computer through communication network, and then be Web published and shared through the connection of central station sever computer and the Internet. Thus, informatization for landslides monitoring could be realized, and information could be optimally utilized. The geologic hazard monitoring and prewarning demonstration station in Wushan County was a good example of real-time monitoring and data Web sharing for landslides, which has greatly improved the level of geologic hazard monitoring and prewarning in China.

SUPDUT: An Environment to Implement Logic Control Applications for Pipelines

2002 ◽  
Author(s):  
Luiz F. de J. Bernardo ◽  
Eliane A. Cid ◽  
Paulo de T. A. Correia ◽  
Ruy L. Milidiu´ ◽  
Frederico dos S. Liporace
Keyword(s):  
Real Time ◽  
Distributed Applications ◽  
Time Data ◽  
Application Development ◽  
Software Environment ◽  
Minimal Impact ◽  
Development Organization ◽  
Object Oriented Design ◽  
Wide Range ◽  
New Applications

The reliable operation of product transfers in pipelines is essential to the economic results of a pipeline company. This operation heavily depends on calculations performed over real time raw and historical data to assure the expected level of confidence in the operational results. This paper describes the development of a software environment, SUPDUT (abbreviation for the portuguese term Supervisor de Oleodutos, or Pipeline Supervisor), to be used in the development, organization, execution and maintenance of operational applications and to support their communication with other corporate and basic real time systems (SCADA). Application in this context means all kinds of operational or corporate calculations that require information from SCADA. The main advantage of the SUPDUT architecture is that it simplifies the application development and maintenance process, by providing a server that deals with all the complexity related to SCADA communication and application scheduling. The application developer therefore does not need to be concerned with those issues. It also makes the application development independent from the SCADA that collects real time data. The environment is designed to facilitate a simple and rapid implementation of new applications with a minimal impact on the system. Other important SUPDUT environment features are: complete object-oriented design, planned support for distributed applications and reliable application scheduling, support for a wide range of application scheduling options, support for multiple SCADA, support for multiple languages for application development (FORTRAN, C, C++ and Java) and robustness to the addition of new applications. The SUPDUT environment requirements definition and design are completed, and it is in its coding phase as this paper is being written. The first production version of the software is expected to be delivered by the end of 2002.

scholarly journals A Mathematical Model toward Real-Time Monitoring of Automotive PEM Fuel Cells

2020 ◽  
Author(s):  
Alireza Goshtasbi ◽  
Benjamin L. Pence ◽  
Jixin Chen ◽  
Michael A. DeBolt ◽  
Chunmei Wang ◽  
...  
Keyword(s):  
Fuel Cells ◽  
Real Time ◽  
Computational Cost ◽  
Membrane Electrode Assembly ◽  
Pem Fuel Cells ◽  
Membrane Electrode ◽  
Performance Measurements ◽  
Real Time Monitoring ◽  
Model Calculations ◽  
Wide Range

A computationally efficient model toward real-time monitoring of automotive polymer electrolyte membrane (PEM) fuel cell stacks is developed. Computational efficiency is achieved by spatio-temporal decoupling of the problem, developing a new reduced-order model for water balance across the membrane electrode assembly (MEA), and defining a new variable for cathode catalyst utilization that captures the trade-off between proton and mass transport limitations without additional computational cost. Together, these considerations result in the model calculations to be carried out more than an order of magnitude faster than real time. Moreover, a new iterative scheme allows for simulation of counter-flow operation and makes the model flexible for different flow configurations. The proposed model is validated with a wide range of experimental performance measurements from two different fuel cells. Finally, simulation case studies are presented to demonstrate the prediction capabilities of the model.

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