Mining sustainability indicators to predict optimal hydrocarbon exploration rate

Proceedings of the 10th IASTED International Conference on Artificial Intelligence and Applications, AIA 2010

Volumn , Issue , 2010, Pages 394-400

  Shaheen, Muhammad ^a   Shahbaz, Muhammad ^a   Ur Rehman, Zahoor ^a   Guergachi, Aziz ^b  

^a UNIVERSITY OF ENGINEERING AND TECHNOLOGY   (Pakistan)

^b RYERSON UNIVERSITY   (Canada)

Author keywords

Data mining; Energy management; Intelligent system; Sustainability indicators; Sustainable development

Indexed keywords

CONSUMPTION RATES; CORRELATION ANALYSIS; ENERGY EXPLORATION; ENERGY RESERVES; HYDROCARBON EXPLORATION; INTERNATIONAL EXPERTS; LIVING STANDARDS; MULTIPLE REGRESSION ANALYSIS; NATURAL ENERGY RESOURCES; OIL AND GAS; OPTIMAL ENERGY; OPTIMAL STRATEGIES; RELIABLE ENERGY SERVICES; SOCIAL JUSTICE; SOUTH AFRICA; SUSTAINABILITY INDICATORS; SUSTAINABLE ENERGY DEVELOPMENT; UNSUSTAINABLE DEVELOPMENT; WORLD SUMMIT ON SUSTAINABLE DEVELOPMENT;

DATA MINING; ENERGY CONSERVATION; ENERGY MANAGEMENT; FORECASTING; HYDROCARBONS; INTELLIGENT SYSTEMS; OPTIMIZATION; REGRESSION ANALYSIS; STANDARDIZATION; SUSTAINABLE DEVELOPMENT;

STRATEGIC PLANNING;

EID: 77954590263     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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