FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2550242578> ?p ?o ?g. }

• W2550242578 abstract "Abstract Drilling rig selection is one the major bottom line during the development phase of hydrocarbons or geothermal well based on comprehensive consideration of a variety of factors for its purpose. The process of drilling a well is highly cost as it involves hiring a drilling rig and crew for the duration of drilling the well. Problem of drilling rig performance and selection has always been viewed as the most important responsibility during the well design phase of a field development, this is mainly caused due to multiple rig manufacturers in the market that meets the operational conditions but not in accordance most operators design specifications. This solution has always been a complex process as various criteria, known and half known are involved in making final decision. Thus, there is a need for simple, systematic applications/tools that can be used to support the decision making considering a number of selection attributes and their interrelations in making right decisions. This study proposes a peculiar approach, an intelligent decision support application hybridizing distance based approach (DBA) and an artificial intelligence technique, Fuzzy Technique for Order Performance by Similarity to Ideal Solution (FTOPSIS) that will assist well engineers, E&P operators in contacting multiple appropriate rig manufacturer that will deliver a reliable drilling performance resulting to safety drilling operations, mitigate effect of time delay, environmental friendly and most importantly be economically viable for different application. Currently, the conventional approach for the selection of appropriate drill rig for onshore operational activities is based on method of exclusion associated with engineering experience and lithology of the field to be developed serving as key drive factors. In order to make it scientific, both qualitative and quantitative parameters influencing drill rig selections were first established using database management system and was later implemented using both two techniques, DBA and FTOPSIS. However, for the purpose of this study, selected onshore rigs are considered for the hybrid model implementation. The novelty of this study lies in the application of a hybrid approach to a real E&P industry case. This study has dealt with one of the most important subjects as related to well design planning, providing a better decision for the selection of drill rig using appropriate quantitative techniques. This work also helps to select the best way to proceed in a situation when the outcomes are uncertain. The proposed tool will also set up a benchmarking process providing a feedback to the rig manufacturers for further improvement of their equipments that account to safety, less environmental impact, minimal NPT and better drilling performance operation." @default.
• W2550242578 created "2016-11-30" @default.
• W2550242578 creator A5016380950 @default.
• W2550242578 creator A5059260023 @default.
• W2550242578 creator A5063943977 @default.
• W2550242578 creator A5065599663 @default.
• W2550242578 creator A5071216642 @default.
• W2550242578 creator A5075812982 @default.
• W2550242578 date "2016-11-12" @default.
• W2550242578 modified "2023-09-26" @default.
• W2550242578 title "Hybrid Intelligent Decision Support System for Drill Rig Performance Analysis and Selection During Well Construction" @default.
• W2550242578 cites W194786220 @default.
• W2550242578 cites W1969249725 @default.
• W2550242578 cites W1984309241 @default.
• W2550242578 cites W2005195995 @default.
• W2550242578 cites W2044119089 @default.
• W2550242578 cites W2116017123 @default.
• W2550242578 cites W2173975327 @default.
• W2550242578 cites W2412633399 @default.
• W2550242578 cites W2912664375 @default.
• W2550242578 doi "https://doi.org/10.2523/iptc-18964-ms" @default.
• W2550242578 hasPublicationYear "2016" @default.
• W2550242578 type Work @default.
• W2550242578 sameAs 2550242578 @default.
• W2550242578 citedByCount "2" @default.
• W2550242578 countsByYear W25502425782017 @default.
• W2550242578 countsByYear W25502425782018 @default.
• W2550242578 crossrefType "proceedings-article" @default.
• W2550242578 hasAuthorship W2550242578A5016380950 @default.
• W2550242578 hasAuthorship W2550242578A5059260023 @default.
• W2550242578 hasAuthorship W2550242578A5063943977 @default.
• W2550242578 hasAuthorship W2550242578A5065599663 @default.
• W2550242578 hasAuthorship W2550242578A5071216642 @default.
• W2550242578 hasAuthorship W2550242578A5075812982 @default.
• W2550242578 hasConcept C107327155 @default.
• W2550242578 hasConcept C127413603 @default.
• W2550242578 hasConcept C154945302 @default.
• W2550242578 hasConcept C173736775 @default.
• W2550242578 hasConcept C41008148 @default.
• W2550242578 hasConcept C56397880 @default.
• W2550242578 hasConcept C78519656 @default.
• W2550242578 hasConcept C81917197 @default.
• W2550242578 hasConceptScore W2550242578C107327155 @default.
• W2550242578 hasConceptScore W2550242578C127413603 @default.
• W2550242578 hasConceptScore W2550242578C154945302 @default.
• W2550242578 hasConceptScore W2550242578C173736775 @default.
• W2550242578 hasConceptScore W2550242578C41008148 @default.
• W2550242578 hasConceptScore W2550242578C56397880 @default.
• W2550242578 hasConceptScore W2550242578C78519656 @default.
• W2550242578 hasConceptScore W2550242578C81917197 @default.
• W2550242578 hasLocation W25502425781 @default.
• W2550242578 hasOpenAccess W2550242578 @default.
• W2550242578 hasPrimaryLocation W25502425781 @default.
• W2550242578 hasRelatedWork W2322689529 @default.
• W2550242578 hasRelatedWork W2353686332 @default.
• W2550242578 hasRelatedWork W2354679751 @default.
• W2550242578 hasRelatedWork W2355736293 @default.
• W2550242578 hasRelatedWork W2373937581 @default.
• W2550242578 hasRelatedWork W2383696875 @default.
• W2550242578 hasRelatedWork W2386447628 @default.
• W2550242578 hasRelatedWork W2390530155 @default.
• W2550242578 hasRelatedWork W2392318265 @default.
• W2550242578 hasRelatedWork W2970575387 @default.
• W2550242578 hasRelatedWork W2972495156 @default.
• W2550242578 hasRelatedWork W3008834199 @default.
• W2550242578 hasRelatedWork W2248045318 @default.
• W2550242578 hasRelatedWork W2818394126 @default.
• W2550242578 hasRelatedWork W2831018928 @default.
• W2550242578 hasRelatedWork W2843824237 @default.
• W2550242578 hasRelatedWork W2865163298 @default.
• W2550242578 hasRelatedWork W2927403983 @default.
• W2550242578 hasRelatedWork W2928653306 @default.
• W2550242578 hasRelatedWork W3171409528 @default.
• W2550242578 isParatext "false" @default.
• W2550242578 isRetracted "false" @default.
• W2550242578 magId "2550242578" @default.
• W2550242578 workType "article" @default.