The Intelligent Field Development Plan Through Integrated Cloud Computing and Artificial Intelligence AI Solutions

2021 ◽  
Author(s):  
Samat Ramatullayev ◽  
Shi Su ◽  
Coriolan Rat ◽  
Alaa Maarouf ◽  
Monica Mihai ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
History Matching ◽  
Cutting Edge ◽  
Optimization Process ◽  
Computing Technology ◽  
History Match ◽  
Field Development ◽  
Uncertainty Parameters

Abstract Brownfield field development plans (FDP) must be revisited on a regular basis to ensure the generation of production enhancement opportunities and to unlock challenging untapped reserves. However, for decades, the conventional workflows have remained largely unchanged, inefficient, and time-consuming. The aim of this paper is to demonstrate that combination of the cutting-edge cloud computing technology along with artificial intelligence (AI) and machine learning (ML) solutions enable an optimization plan to be delivered in weeks rather than months with higher confidence. During this FDP optimization process, every stage necessitates the use of smart components (AI & ML techniques) starting from reservoir/production data analytics to history match and forecast. A combined cloud computing and AI solutions are introduced. First, several static and dynamic uncertainty parameters are identified, which are inherited from static modelling and the history match. Second, the elastic cloud computing technology is harnessed to perform hundreds to thousands of history match scenarios with the uncertainty parameters in a much shorter period. Then AI techniques are applied to extract the dominant key features and determine the most likely values. During the FDP optimization process, the data liberation paved the way for intelligent well placement which identifies the "sweet spots" using a probabilistic approach, facilitating the identification and quantification of by-passed oil. The use of AI-assisted analytics revealed how the gas-oil ratio behavior of various wells drilled at various locations in the field changed over time. It also explained why this behavior was observed in one region of the reservoir when another nearby reservoir was not suffering from the same phenomenon. The cloud computing technology allowed to screen hundreds of uncertainty cases using high-resolution reservoir simulator within an hour. The results of the screening runs were fed into an AI optimizer, which produced the best possible combination of uncertainty parameters, resulting in an ensemble of history-matched cases with the lowest mismatch objective functions. We used an intuitive history matching analysis solution that can visualize mismatch quality of all wells of various parameters in an automated manner to determine the history matching quality of an ensemble of cases. Finally, the cloud ecosystem's data liberation capability enabled the implementation of an intelligent algorithm for the identification of new infill wells. The approach serves as a benchmark for optimizing FDP of any reservoir by orders of magnitude faster compared to conventional workflows. The methodology is unique in that it uses cloud computing technology and cutting-edge AI methods to create an integrated intelligent framework for FDP that generates rapid insights and reliable results, accelerates decision making, and speeds up the entire process by orders of magnitude.

Reinforcement Learning for Cloud Computing Digital Library

2014 ◽  
Vol 571-572 ◽  
pp. 105-108
Author(s):  
Lin Xu
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Reinforcement Learning ◽  
Digital Library ◽  
Learning Algorithms ◽  
Experimental Results ◽  
Current Status ◽  
Self Learning ◽  
New Framework

This paper proposes a new framework of combining reinforcement learning with cloud computing digital library. Unified self-learning algorithms, which includes reinforcement learning, artificial intelligence and etc, have led to many essential advances. Given the current status of highly-available models, analysts urgently desire the deployment of write-ahead logging. In this paper we examine how DNS can be applied to the investigation of superblocks, and introduce the reinforcement learning to improve the quality of current cloud computing digital library. The experimental results show that the method works more efficiency.

scholarly journals Consumer perspective of omnichannel commerce

Management ◽  
2017 ◽  
Vol 21 (2) ◽  
pp. 95-108 ◽  
Author(s):  
Dominika Kaczorowska-Spychalska
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Multidimensional Analysis ◽  
Computing Technology ◽  
Market Intelligence ◽  
Shopping Experience ◽  
Consumer Perspective ◽  
Positive Experiences ◽  
And Behavior

SummaryThe evolution of hypermedia space and growing saturation of the market with mobile devices, an increasing role of Big Data, which allow for multidimensional analysis of data from offline and online markets, growing popularization of solutions of Market Intelligence supported by Cloud Computing technology as well as development of potential and opportunities of adapting the Artificial Intelligence (AI) and Internet of Things (IoT) in commerce cause that customers and their experience become a major point of activity of companies/brands. Shopping experience of a buyer is an effect of multiple and multidimensional contacts, often conducted simultaneously in many channels and in the real time. It forces an increasingly growing number of challenges that companies/brands are presented with if they want to optimize a space of customer journey and have to ensure continuity, coherence and complexity of experiences for their customers. Searching or creating these benefits that customers expect and their constant development becomes a prerequisite in this situation so that variety of positive experiences resulting in customer satisfaction and happiness could be guaranteed.The paper is an attempt to verify the essence of omnichannel commerce from the consumer’s perspective. The author discusses a problem of omnichannel model while taking into consideration some elements that can influence building and intensification of buyers’ experiences and behavior in various channels of commerce. The discussion is supported with the results of own studies in that area.

Quantitative 4D Seismic Assisted History Matching Using Ensemble-Based Methods on the Vilje Field

2020 ◽  
Author(s):  
Konrad Wojnar ◽  
Jon S?trom ◽  
Tore Felix Munck ◽  
Martha Stunell ◽  
Stig Sviland-Østre ◽  
...  
Keyword(s):  
Decision Making ◽  
Seismic Data ◽  
History Matching ◽  
Reservoir Characterization ◽  
Reservoir Management ◽  
History Match ◽  
Field Development ◽  
Qualitative And Quantitative ◽  
Reservoir Models ◽  
4D Seismic

Abstract The aim of the study was to create an ensemble of equiprobable models that could be used for improving the reservoir management of the Vilje field. Qualitative and quantitative workflows were developed to systematically and efficiently screen, analyze and history match an ensemble of reservoir simulation models to production and 4D seismic data. The goal of developing the workflows is to increase the utilization of data from 4D seismic surveys for reservoir characterization. The qualitative and quantitative workflows are presented, describing their benefits and challenges. The data conditioning produced a set of history matched reservoir models which could be used in the field development decision making process. The proposed workflows allowed for identification of outlying prior and posterior models based on key features where observed data was not covered by the synthetic 4D seismic realizations. As a result, suggestions for a more robust parameterization of the ensemble were made to improve data coverage. The existing history matching workflow efficiently integrated with the quantitative 4D seismic history matching workflow allowing for the conditioning of the reservoir models to production and 4D data. Thus, the predictability of the models was improved. This paper proposes a systematic and efficient workflow using ensemble-based methods to simultaneously screen, analyze and history match production and 4D seismic data. The proposed workflow improves the usability of 4D seismic data for reservoir characterization, and in turn, for the reservoir management and the decision-making processes.

Current Applications in Health Care Communication and Technology

2021 ◽  
Vol 3 (1) ◽  
Keyword(s):  
Health Care ◽  
Cloud Computing ◽  
Social Networking ◽  
Care Setting ◽  
Online Social Network ◽  
Cost Effective ◽  
Computing Technology ◽  
Health Care Communication ◽  
Communication And Technology

Communication and technology in a health care setting is the most important tool in health promotion. Recently, cloud computing technology is used to enable cost-effective applications to facilitate communication, information sharing and record maintenance regarding health and medicine. It allows dissemination of information from facebook, which is currently the largest online social network. Combining cloud computing and social networking could allow creating health social networking system employing a human –oriented, interactive medical web and this would improve the quality of current applications in health care communication and technology.

Construction on Virtualized Environment for Digital Library Based on Cloud Computing Technology

2014 ◽  
Vol 687-691 ◽  
pp. 3019-3022 ◽  
Author(s):  
Jun Jun Liu
Keyword(s):  
Cloud Computing ◽  
Digital Library ◽  
Resource Sharing ◽  
Virtual Machines ◽  
Computing Environment ◽  
Computing Technology ◽  
Cloud Computing Environment ◽  
Key Technology ◽  
Virtualization Technology

Cloud computing technology is emerging technology in the field of information technology, and its technical advantage has brought new opportunities and challenges for the development and service of digital library in the Internet era. Virtualization is the key technology of cloud computing, and the paper discusses the virtualization of digital library in the cloud computing environment from technical level. Firstly, the paper introduced cloud computing and virtualization technology; then created a virtualized environment for digital library based on the cloud computing technology, and described the function of various levels; finally, the capacity of virtual machines appointment scheduling can be calculated according to formulas. The paper has great significance in enhancing the efficiency and quality of library service, constructing resource sharing system of digital library.

A Survey on Strategies, Trends, Economics, and Prospects of Cloud-Based Gaming

2017 ◽  
pp. 1-24
Author(s):  
Sharon Moses J. ◽  
Dhinesh Babu L. D. ◽  
Nirmala M. ◽  
M. Rajasekhara Babu ◽  
P. Venkata Krishna
Keyword(s):  
Growth Rate ◽  
Cloud Computing ◽  
Service Provider ◽  
Quality Of Experience ◽  
Computing Technology ◽  
Web Browser ◽  
Thin Client

Cloud gaming-as-a-service is emerging as one of the potential revenue generating futuristic fields with a higher growth rate. Cloud gaming service is an entertainment service that depends totally on the cloud computing technology. Cloud gaming delivers games to the gamers, anywhere at any time without any gaming specific hardware and without diminishing the gamer's quality of experience. From getting the user command to rendering the graphics, everything is processed at the gaming service provider end. The only need for the gamer is to use a thin client like web browser to access the cloud game server. In this chapter, we have detailed about the cloud game systems, cloud game services, issues in cloud gaming, economics of cloud gaming, research prospects and the evolution of cloud gaming service.

Service-oriented analysis and design of corporate information systems

2018 ◽  
pp. 108-115
Author(s):  
N. Р. Sidorova ◽  
Yu. . Sidorov
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Information Systems ◽  
Cloud Services ◽  
Computing Technology ◽  
Analysis And Design ◽  
Service Oriented ◽  
Corporate Information Systems ◽  
Cloud Technologies ◽  
Corporate Information

The article deals with the development of cloud computing technology. The application of artificial intelligence methods as the main direction of development of cloud technologies is singled out. An overview of intelligent cloud services is given.

scholarly journals PEMANFAATAN TKA SEBAGAI SOLUSI PENINGKATAN LAYANAN PENDIDIKAN DI DAERAH PINGGIRAN SECARA OUT OF BOX

2018 ◽  
Vol 2 (2) ◽  
pp. 137-158
Author(s):  
Kosasih Ali Abu Bakar
Keyword(s):  
Cloud Computing ◽  
Information And Communication Technology ◽  
Communication Technology ◽  
Quality Of Education ◽  
Computing Technology ◽  
Learning Skills ◽  
Culture Of Learning ◽  
21St Century Learning Skills ◽  
Information And Communication

AbstrakTeknologi komputasi awan saat ini sedang berkembang dengan pesat, hal ini tentunya dikarenakan keuntungan-keuntungan yang ditawarkan serta karakteristik layanannya yang menjadikan teknologi informasi dan komunikasi menjadi sebuah alat yang lebih efisien dan efektif. Dunia pendidikan yang sudah mulai banyak menggunakankomputasi awanatau disebut dengan pendidikan awan. Penelitian kali ini dilakukan dengan sebuah kajian analisis pemanfaatan dari komputasi awan dalam rangka meningkatkan kualitas mutu pendidikan yang berada di daerah-daerah pinggiran sesuai dengan program Nawacita dari Pemerintahan Jokowi-JK, pemenuhan 21st century learning skills dan pendidikan untuk pembangunan berkelanjutan. Dalam kajian ini memperlihatkan bahwa pendidikan menggunakan komputasi awantidak hanya menawarkan sebuah cara dan model pembelajaran baru yang bersifat out of box untuk menghilangkan permasalahan geografis dan ketidakmerataan sumber daya pendidikan yang ada pada “daerah pinggiran”, akan tetapi lebih kepada upaya untuk membangun budaya baru dalam belajar. Sehingga dalam rangka pengintegrasian teknologi komputasi awan ke dalam sistem pendidikan diperlukan peranan pemerintah melalui regulasi pendukung, mendukung peran dari PUSTEKKOM sebagai pusat pelayanan dan pembangunan budaya baru belajar menggunakan teknologi komputasi awan. AbstractAbstract: Today the developing of cloud computing technology is arising, this is because of the advantages that offering and service characteristic by cloud computing what making information and communication technology as an effective and efficiency device. This is also making education world starts to use cloud computing technology or we can call cloud education.This research will discuss about cloud education role to help increasing quality of education, especially where at the edge areas as Nawa Cita of Jokowi-JK’s Government, 21stcentury learning skills and education for sustainable development. In this study, education using cloud computing not only offers a new stance of learning and a new model of learning but also solving problem with out of box way such as geographical obstacles and unbalance educational resources in “daerah pinggiran”, but rather to build a new culture of learning. So, in order to further integration of cloud computing to education system through government with supporting regulation, supporting PUSTEKKOM as serviced central of cloud education and preparing for a new stance of learning using cloud computing technology.  

scholarly journals Enhancement Network Monitoring System Functionality by Implementing an Android-based Notification System to Monitor Virtual Servers on Cloud Computing Network

2018 ◽  
Vol 2 (01) ◽  
pp. 7
Author(s):  
Febrian Wahyu Christanto ◽  
Mohammad Sani Suprayogi
Keyword(s):  
Cloud Computing ◽  
Monitoring System ◽  
Technology Use ◽  
Educational Institution ◽  
Network Monitoring ◽  
Computing Technology ◽  
Notification System ◽  
Application Systems ◽  
Application Service

Computer networks have evolved with the presence of cloud computing technology to accommodate the problem of inadequate computer devices and application services that are not integrated. USM (Universitas Semarang) which located in Indonesia is an educational institution that has implemented cloud computing technology using ROCCA (Roadmap for Cloud Computing Adoption) to accommodate the needs of internal application systems at this institution. The problem arises because the system administrator of the computer network is difficult to monitor the condition of the virtual server running because physically, the virtual server cannot be seen and touched. If there is a problem in one service, then the repair process takes a long time because there is not enough notification system to provide fast and detailed information about the condition of the virtual server running so that it will interfere with the quality of service from internal application system. The solution of these problems enhances the NMS (Network Monitoring System) functionality with notification system technology. Use PPDIOO method, this research will combine Pandora FMS and Telegram based on Android platform to implement a fast notification system in monitoring conditions virtual server resources which directly sent the message to the system administrator’s smartphone. The expectation of this research is the quality of internal application service at USM (Universitas Semarang) can be properly maintained.

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