The Implementation of the Largest Geological and Production Corporate Database in Ukraine to Accelerate Digital Transformation

2021 ◽  
Author(s):  
Vadym Reshetniak ◽  
Arsene Akono ◽  
Rana Sherif ◽  
Amine Boumehdi ◽  
Sid Ahmed Morsli ◽  
...  
Keyword(s):  
Data Quality ◽  
Data Storage ◽  
Data Access ◽  
Development Planning ◽  
Digital Transformation ◽  
Data Repository ◽  
Production Data ◽  
Business Systems ◽  
Data Types ◽  
Field Development

Abstract Two years ago, geoscientists of the leading East European gas producers were still using paper logs, unknown data quality sources, and many data versions, stored on individual local disks for their interpretation jobs. To overcome this challenge, the deployment of a geological and production database was initiated in the framework of the digital transformation programme. The key objectives were to build a single data repository for all company assets and integrate it with the production and drilling business systems. The development of the corporate data repository started with an extensive data assessment. A report of available data types, business processes, recommended data management, and business rules were produced. Loading and quality control procedures were designed to load over 40 different data types, including geology, geophysics, production, and drilling. Standardisation of data available in non-industry formats was necessary, e.g. for Lithology data. To enable reporting of drilling and production data stored in the business systems, complex integration and synchronisation between different Database Management Systems were developed. Data delivery to petrotechnical applications was a key to productivity. By implementing this centralised and unique Corporate Data Storage, digitalization and loading of the well, log, seismic, drilling, and production data with proper quality were enabled. Petrotechnical experts can now use one data access point to retrieve data into their applications quickly and efficiently using just an integrated web browser. Searching information within SEGY or DLIS files was previously a difficult process that has been facilitated through an application user interface displayed in the local language. Thousands of well logs, documents, and reports have been digitised and made available in the system. The interpretation results and knowledge are now captured and reused in future field development planning. All the company data including drilling and production data synched from business systems are now available in a single place and accurate reporting can be facilitated. The system allowed the reduction of the time spent by the users searching and data quality checks.

scholarly journals Patient Health Record Systems Scope and Functionalities: Literature Review and Future Directions (Preprint)

2017 ◽  
Author(s):  
Lina Bouayad ◽  
Anna Ialynytchev ◽  
Balaji Padmanabhan
Keyword(s):  
Health Care ◽  
Data Storage ◽  
Time Series Data ◽  
Data Access ◽  
Series Data ◽  
Health Record ◽  
Review Of The Literature ◽  
Data Types ◽  
Future Directions ◽  
Patient Health

BACKGROUND A new generation of user-centric information systems is emerging in health care as patient health record (PHR) systems. These systems create a platform supporting the new vision of health services that empowers patients and enables patient-provider communication, with the goal of improving health outcomes and reducing costs. This evolution has generated new sets of data and capabilities, providing opportunities and challenges at the user, system, and industry levels. OBJECTIVE The objective of our study was to assess PHR data types and functionalities through a review of the literature to inform the health care informatics community, and to provide recommendations for PHR design, research, and practice. METHODS We conducted a review of the literature to assess PHR data types and functionalities. We searched PubMed, Embase, and MEDLINE databases from 1966 to 2015 for studies of PHRs, resulting in 1822 articles, from which we selected a total of 106 articles for a detailed review of PHR data content. RESULTS We present several key findings related to the scope and functionalities in PHR systems. We also present a functional taxonomy and chronological analysis of PHR data types and functionalities, to improve understanding and provide insights for future directions. Functional taxonomy analysis of the extracted data revealed the presence of new PHR data sources such as tracking devices and data types such as time-series data. Chronological data analysis showed an evolution of PHR system functionalities over time, from simple data access to data modification and, more recently, automated assessment, prediction, and recommendation. CONCLUSIONS Efforts are needed to improve (1) PHR data quality through patient-centered user interface design and standardized patient-generated data guidelines, (2) data integrity through consolidation of various types and sources, (3) PHR functionality through application of new data analytics methods, and (4) metrics to evaluate clinical outcomes associated with automated PHR system use, and costs associated with PHR data storage and analytics.

scholarly journals A Profile of the SAIL Databank on the UK Secure Research Platform

2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Kerina H Jones ◽  
David Vincent Ford ◽  
Simon Thompson ◽  
Ronan Lyons
Keyword(s):  
Public Engagement ◽  
Data Access ◽  
Lessons Learned ◽  
Control Measures ◽  
Data Repository ◽  
Privacy By Design ◽  
Data Types ◽  
Research Platform ◽  
The Uk ◽  
The Impact

Background The Secure Anonymised Information Linkage (SAIL) Databank is a national data safe haven of de‑identified datasets principally about the population of Wales, made available in anonymised form to researchers across the world. It was established to enable the vast arrays of data collected about individuals in the course of health and other public service delivery to be made available to answer important questions that could not otherwise be addressed without prohibitive effort. The SAIL Databank is the bedrock of other funded centres relying on the data for research. Approach SAIL is a data repository surrounded by a suite of physical, technical and procedural control measures embodying a proportionate privacy-by-design governance model, informed by public engagement, to safeguard the data and facilitate data utility. SAIL operates on the UK Secure Research Platform (SeRP), which is a customisable technology and analysis platform. Researchers access anonymised data via this secure research environment, from which results can be released following scrutiny for disclosure risk. SAIL data are being used in multiple research areas to evaluate the impact of health and social exposures and policy interventions.    Discussion Lessons learned and their applications include: managing evolving legislative and regulatory requirements; employing multiple, tiered security mechanisms; working hard to increase analytical capacity efficiency; and developing a multi-faceted programme of public engagement. Further work includes: incorporating new data types; enabling alternative means of data access; and developing further efficiencies across our operations. Conclusion SAIL represents an ongoing programme of work to develop and maintain an extensive, whole population data resource for research. Its privacy-by-design model and UK SeRP technology have received international acclaim, and we continually endeavour to demonstrate trustworthiness to support data provider assurance and public acceptability in data use. We strive for further improvement and continue a mutual learning process with our contemporaries in this rapidly developing field.

scholarly journals Data management pipeline for plant phenotyping in a multisite project

2012 ◽  
Vol 39 (11) ◽  
pp. 948 ◽  
Author(s):  
Kenny Billiau ◽  
Heike Sprenger ◽  
Christian Schudoma ◽  
Dirk Walther ◽  
Karin I. Köhl
Keyword(s):  
Data Management ◽  
Data Storage ◽  
Data Exchange ◽  
Data Access ◽  
Data Management System ◽  
Plant Phenotyping ◽  
Data Types ◽  
File Server ◽  
Management Concepts ◽  
Term Basis

In plant breeding, plants have to be characterised precisely, consistently and rapidly by different people at several field sites within defined time spans. For a meaningful data evaluation and statistical analysis, standardised data storage is required. Data access must be provided on a long-term basis and be independent of organisational barriers without endangering data integrity or intellectual property rights. We discuss the associated technical challenges and demonstrate adequate solutions exemplified in a data management pipeline for a project to identify markers for drought tolerance in potato. This project involves 11 groups from academia and breeding companies, 11 sites and four analytical platforms. Our data warehouse concept combines central data storage in databases and a file server and integrates existing and specialised database solutions for particular data types with new, project-specific databases. The strict use of controlled vocabularies and the application of web-access technologies proved vital to the successful data exchange between diverse institutes and data management concepts and infrastructures. By presenting our data management system and making the software available, we aim to support related phenotyping projects.

ACCESS TO AUSTRALIAN EXPLORATION AND PRODUCTION DATA: A CRITICAL FACTOR IN ATTRACTING INVESTMENT

2003 ◽  
Vol 43 (1) ◽  
pp. 693
Author(s):  
P.E. Williamson ◽  
C.B. Foster
Keyword(s):  
Spatial Information ◽  
Data Access ◽  
Global Market ◽  
Data Availability ◽  
Petroleum Exploration ◽  
Data Repository ◽  
Production Data ◽  
Market Place ◽  
Exploration And Production ◽  
The Cost

During the past 10 years, Australia has maintained 65– 85% self-sufficiency in oil and better than 100% sufficiency in gas. This has generated significant societal benefits in terms of employment, balance of payments, and revenue. The decline of the super-giant Gippsland fields, discovery of smaller oil pools on the North West Shelf, and the increasing reliance on condensate to sustain our liquids supply, however, sharpens the focus on Australia’s need to increase exploration and discover more oil. Australia is competing in the global market place for exploration funds, but as it is relatively underexplored there is a need to simulate interest through access to pre-competitive data and information. Public access to exploration and production data is a key plank in Australian promotion of petroleum exploration acreage. Access results from legislation that initially subsidised exploration in return for lodgement and public availability of exploration and production (E&P) data. Today publicly available E&P data ranges from digital seismic tapes, to core and cuttings samples from wells, and access to relational databases, including organic geochemistry, biostratigraphy, and reservoir and shows information. Seismic information is being progressively consolidated to high density media. Under the Commonwealth Government’s Spatial Information and Data Access Policy, announced in 2001, company data are publicly available at the cost of transfer, after a relatively brief confidentiality period. In addition, pre-competitive regional studies relating to petroleum prospectivity, undertaken by Government, and databases and spatial information are free over the Internet, further reducing the cost of exploration. In cooperation with the Australian States and the Northern Territory, we are working towards jointly presenting Australian opportunities through the Geoscience Portal (http:// www.geoscience.gov.au) and a virtual one-stop data repository. The challenge now is to translate data availability to increased exploration uptake, through client information, and through ever-improving on-line access.

scholarly journals The on-premise data sharing infrastructure e!DAL: Foster FAIR data for faster data acquisition

GigaScience ◽  
2020 ◽  
Vol 9 (10) ◽  
Author(s):  
Daniel Arend ◽  
Patrick König ◽  
Astrid Junker ◽  
Uwe Scholz ◽  
Matthias Lange
Keyword(s):  
Data Management ◽  
Data Storage ◽  
Best Practice ◽  
Research Process ◽  
Research Data ◽  
Primary Data ◽  
Data Repository ◽  
Plant Genomics ◽  
Quality Of Data

Abstract Background The FAIR data principle as a commitment to support long-term research data management is widely accepted in the scientific community. Although the ELIXIR Core Data Resources and other established infrastructures provide comprehensive and long-term stable services and platforms for FAIR data management, a large quantity of research data is still hidden or at risk of getting lost. Currently, high-throughput plant genomics and phenomics technologies are producing research data in abundance, the storage of which is not covered by established core databases. This concerns the data volume, e.g., time series of images or high-resolution hyper-spectral data; the quality of data formatting and annotation, e.g., with regard to structure and annotation specifications of core databases; uncovered data domains; or organizational constraints prohibiting primary data storage outside institional boundaries. Results To share these potentially dark data in a FAIR way and master these challenges the ELIXIR Germany/de.NBI service Plant Genomic and Phenomics Research Data Repository (PGP) implements a “bring the infrastructure to the data” approach, which allows research data to be kept in place and wrapped in a FAIR-aware software infrastructure. This article presents new features of the e!DAL infrastructure software and the PGP repository as a best practice on how to easily set up FAIR-compliant and intuitive research data services. Furthermore, the integration of the ELIXIR Authentication and Authorization Infrastructure (AAI) and data discovery services are introduced as means to lower technical barriers and to increase the visibility of research data. Conclusion The e!DAL software matured to a powerful and FAIR-compliant infrastructure, while keeping the focus on flexible setup and integration into existing infrastructures and into the daily research process.

scholarly journals Incremental and acceleration production estimation and their effect on optimization of well infill locations in tight gas reservoirs

2021 ◽  
Author(s):  
Atheer Dheyauldeen ◽  
Omar Al-Fatlawi ◽  
Md Mofazzal Hossain
Keyword(s):  
Transient Flow ◽  
Development Planning ◽  
Main Role ◽  
Gas Reservoirs ◽  
Type Curves ◽  
Field Development ◽  
Drilling Performance ◽  
Well Location ◽  
Infill Drilling ◽  
Tight Formations

AbstractThe main role of infill drilling is either adding incremental reserves to the already existing one by intersecting newly undrained (virgin) regions or accelerating the production from currently depleted areas. Accelerating reserves from increasing drainage in tight formations can be beneficial considering the time value of money and the cost of additional wells. However, the maximum benefit can be realized when infill wells produce mostly incremental recoveries (recoveries from virgin formations). Therefore, the prediction of incremental and accelerated recovery is crucial in field development planning as it helps in the optimization of infill wells with the assurance of long-term economic sustainability of the project. Several approaches are presented in literatures to determine incremental and acceleration recovery and areas for infill drilling. However, the majority of these methods require huge and expensive data; and very time-consuming simulation studies. In this study, two qualitative techniques are proposed for the estimation of incremental and accelerated recovery based upon readily available production data. In the first technique, acceleration and incremental recovery, and thus infill drilling, are predicted from the trend of the cumulative production (Gp) versus square root time function. This approach is more applicable for tight formations considering the long period of transient linear flow. The second technique is based on multi-well Blasingame type curves analysis. This technique appears to best be applied when the production of parent wells reaches the boundary dominated flow (BDF) region before the production start of the successive infill wells. These techniques are important in field development planning as the flow regimes in tight formations change gradually from transient flow (early times) to BDF (late times) as the production continues. Despite different approaches/methods, the field case studies demonstrate that the accurate framework for strategic well planning including prediction of optimum well location is very critical, especially for the realization of the commercial benefit (i.e., increasing and accelerating of reserve or assets) from infilled drilling campaign. Also, the proposed framework and findings of this study provide new insight into infilled drilling campaigns including the importance of better evaluation of infill drilling performance in tight formations, which eventually assist on informed decisions process regarding future development plans.

scholarly journals Promiscuous molecules for smarter file operations in DNA-based data storage

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Kyle J. Tomek ◽  
Kevin Volkel ◽  
Elaine W. Indermaur ◽  
James M. Tuck ◽  
Albert J. Keung
Keyword(s):  
Data Storage ◽  
Data Access ◽  
Molecular Architecture ◽  
Biomolecular Structure ◽  
Jpeg Images ◽  
Storage Media ◽  
Dna Storage ◽  
Dna Strands ◽  
Background Database ◽  
Organizational Features

AbstractDNA holds significant promise as a data storage medium due to its density, longevity, and resource and energy conservation. These advantages arise from the inherent biomolecular structure of DNA which differentiates it from conventional storage media. The unique molecular architecture of DNA storage also prompts important discussions on how data should be organized, accessed, and manipulated and what practical functionalities may be possible. Here we leverage thermodynamic tuning of biomolecular interactions to implement useful data access and organizational features. Specific sets of environmental conditions including distinct DNA concentrations and temperatures were screened for their ability to switchably access either all DNA strands encoding full image files from a GB-sized background database or subsets of those strands encoding low resolution, File Preview, versions. We demonstrate File Preview with four JPEG images and provide an argument for the substantial and practical economic benefit of this generalizable strategy to organize data.

Diagnostic Plots for Production Decline During the Transition of Oil Field Development From Depletion to Water Injection

2021 ◽  
Author(s):  
Vil Syrtlanov ◽  
Yury Golovatskiy ◽  
Ivan Ishimov
Keyword(s):  
Water Injection ◽  
Simulation Models ◽  
Oil Field ◽  
Production Data ◽  
Oil Reservoir ◽  
Field Development ◽  
Well Production ◽  
Diagnostic Plots ◽  
Oil Field Development ◽  
Analytical Approaches

Abstract In this paper the simplified way is proposed for predicting the dynamics of liquid production and estimating the parameters of the oil reservoir using diagnostic curves, which are a generalization of analytical approaches, partially compared with the results of calculations on 3D simulation models and with actual well production data.

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