[HTML][HTML] Review of application of artificial intelligence techniques in petroleum operations

S Bahaloo, M Mehrizadeh, A Najafi-Marghmaleki - Petroleum Research, 2023 - Elsevier
In the last few years, the use of artificial intelligence (AI) and machine learning (ML)
techniques have received considerable notice as trending technologies in the petroleum …

A review of fuzzy logic applications in petroleum exploration, production and distribution operations

MO Okwu, AN Nwachukwu - Journal of Petroleum Exploration and …, 2019 - Springer
Petroleum exploration and production business thrives with in-depth knowledge and
understanding of the subsurface. Technological advancement has helped in furnishing the …

fuzzyDL: An Expressive Fuzzy Description Logic Reasoner

F Bobillo, U Straccia - … on Fuzzy Systems (IEEE World Congress …, 2008 - ieeexplore.ieee.org
<i>fuzzy</i>DL: An Expressive Fuzzy Description Logic Reasoner Page 1 fuzzyDL: An
Expressive Fuzzy Description Logic Reasoner Fernando Bobillo and Umberto Straccia …

Fuzzy logic-driven and SVM-driven hybrid computational intelligence models applied to oil and gas reservoir characterization

F Anifowose, A Abdulraheem - Journal of Natural Gas Science and …, 2011 - Elsevier
This work demonstrates the capabilities of two hybrid models as Computational Intelligence
tools in the prediction of two important oil and gas reservoir properties, viz., porosity and …

[BOOK][B] Foundations of fuzzy logic and semantic web languages

U Straccia - 2013 - library.oapen.org
This book is the first to combine coverage of fuzzy logic and Semantic Web languages. It
provides in-depth insight into fuzzy Semantic Web languages for non-fuzzy set theory and …

Hybrid computational models for the characterization of oil and gas reservoirs

T Helmy, A Fatai, K Faisal - Expert Systems with Applications, 2010 - Elsevier
The process of combining multiple computational intelligence techniques to build a single
hybrid model has become increasingly popular. As reported in the literature, the …

Human intelligence-based Metaverse for co-learning of students and smart machines

CS Lee, MH Wang, M Reformat, SH Huang - Journal of Ambient …, 2023 - Springer
This paper proposes a Human Intelligence (HI)-based Computational Intelligence (CI) and
Artificial Intelligence (AI) Fuzzy Markup Language (CI&AI-FML) Metaverse as an educational …

Interoperable and adaptive fuzzy services for ambient intelligence applications

G Acampora, M Gaeta, V Loia… - ACM Transactions on …, 2010 - dl.acm.org
In Ambient Intelligence (AmI) vision, people should be able to seamlessly and unobtrusively
use and configure the intelligent devices and systems in their ubiquitous computing …

User adoption of intelligent environments: A review of technology adoption models, challenges, and prospects

S FakhrHosseini, K Chan, C Lee, M Jeon… - … Journal of Human …, 2024 - Taylor & Francis
Recent technological advancements have enabled the development of smarter (more
automated) and more intelligent (adaptable) environments. To understand what factors lead …

tOWL: a temporal web ontology language

V Milea, F Frasincar, U Kaymak - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
Through its interoperability and reasoning capabilities, the Semantic Web opens a realm of
possibilities for develo** intelligent systems on the Web. The Web Ontology Language …