Applying Soft Computing to Estimation of Resources’ Price inOil and Gas Industry

23rd Midwest Artificial Intelligence and Cognitive Science Conference 2012

Sholpan Mirseidova ; Atsushi Inoue ; Lyazzat Atymtayeva

Others  :  http://ceur-ws.org/Vol-841/submission_34.pdf

来源: CEUR

【 摘 要 】

The oil and gas industry is highly risky capital-intensivefield of business. Many companies are working hard toperform projects on a global scale in order to get, produceand deliver their final products. No matter the economicconditions, it is vital for organizations to efficiently managetheir capitals projects, which facilitates to controlexpenditure, handle priorities and mineral resources, andmake assets productive as quickly as possible. It is alsocritical to efficiently and safely maintain and improve theseassets. Probably the most volatile item of the project cost inoil and gas industry is the market price of resources orassets. Both sides (stakeholders) seek for efficientprofitable price for selling and buying final product. Thispaper provides the description of application developed forfair oil price estimation using Fuzzy Sets and Logicapproach of Soft Computing and FRIL inference language with its environment installed on UNIX virtual machine.