Matches in SemOpenAlex for { <https://semopenalex.org/work/W2678387399> ?p ?o ?g. }
- W2678387399 endingPage "153" @default.
- W2678387399 startingPage "146" @default.
- W2678387399 abstract "Abstract Mud logging system presents the most promising tool for exploring oil and gas resources, which relies on the multi-component analysis of gases to evaluate the hydrocarbon reservoirs. Higher detection efficiency, especially relating to the high-throughput analysis, can offer an important means to enhance the oil and gas recovery of hydrocarbon reservoirs. However, fewer technologies can measure both hydrocarbon and non-hydrocarbon gases in a timely manner. In the present work, a method based on data driven Raman spectroscopy (DDRS), which allows simultaneously accurate analysis of 12 hydrocarbon and non-hydrocarbon gases, has been proved. By developing a data driven strategy that incorporates higher-density discrete wavelet transform (HDWT) and template oriented frog algorithm (TOFA), the spectral resolution of Raman spectroscopy was significantly improved in both time and frequency domains to extract the target gas information from the Raman spectra, facilitating the detection of hydrocarbon reservoir. Theoretically, it is considered that the DDRS represents a promising tool for extracting the quantitative information from multi-component gases in the presence of dominantly uncontrolled variance. Our work has tested and refined the DDRS by performing a comprehensive analysis of three gas mixtures established to yield challenges representative of those encountered in a common mud logging analysis. The DDRS compared favorably with the gas chromatography (GC) method. The satisfactory results indicated that the DDRS has the capability to continuously detect 12 hydrocarbon and non-hydrocarbon gases in real time, which could be extended to online multi-component analysis of any other gas and fuel systems." @default.
- W2678387399 created "2017-06-30" @default.
- W2678387399 creator A5011312338 @default.
- W2678387399 creator A5020199331 @default.
- W2678387399 creator A5034654778 @default.
- W2678387399 creator A5046834930 @default.
- W2678387399 creator A5057945355 @default.
- W2678387399 creator A5067744883 @default.
- W2678387399 date "2017-11-01" @default.
- W2678387399 modified "2023-10-06" @default.
- W2678387399 title "On-line multi-component analysis of gases for mud logging industry using data driven Raman spectroscopy" @default.
- W2678387399 cites W1954254677 @default.
- W2678387399 cites W1966372060 @default.
- W2678387399 cites W1968114170 @default.
- W2678387399 cites W1977220241 @default.
- W2678387399 cites W1977498684 @default.
- W2678387399 cites W1982287822 @default.
- W2678387399 cites W1996964754 @default.
- W2678387399 cites W2019978027 @default.
- W2678387399 cites W2029969097 @default.
- W2678387399 cites W2032309005 @default.
- W2678387399 cites W2050104104 @default.
- W2678387399 cites W2051559666 @default.
- W2678387399 cites W2052600159 @default.
- W2678387399 cites W2054403851 @default.
- W2678387399 cites W2056389261 @default.
- W2678387399 cites W2060489042 @default.
- W2678387399 cites W2065629527 @default.
- W2678387399 cites W2066256975 @default.
- W2678387399 cites W2067541290 @default.
- W2678387399 cites W2070636827 @default.
- W2678387399 cites W2071797326 @default.
- W2678387399 cites W2089867178 @default.
- W2678387399 cites W2093179520 @default.
- W2678387399 cites W2098540087 @default.
- W2678387399 cites W2099171825 @default.
- W2678387399 cites W2099956363 @default.
- W2678387399 cites W2106899655 @default.
- W2678387399 cites W2140940213 @default.
- W2678387399 cites W2151022366 @default.
- W2678387399 cites W2160149716 @default.
- W2678387399 cites W2162012409 @default.
- W2678387399 cites W2165639001 @default.
- W2678387399 cites W2166805313 @default.
- W2678387399 cites W2172160899 @default.
- W2678387399 cites W2198640842 @default.
- W2678387399 cites W2229790041 @default.
- W2678387399 cites W2270336911 @default.
- W2678387399 cites W2313491324 @default.
- W2678387399 cites W2394542429 @default.
- W2678387399 cites W2479417523 @default.
- W2678387399 cites W2512746586 @default.
- W2678387399 cites W2563518446 @default.
- W2678387399 cites W2569790648 @default.
- W2678387399 cites W854602946 @default.
- W2678387399 doi "https://doi.org/10.1016/j.fuel.2017.06.045" @default.
- W2678387399 hasPublicationYear "2017" @default.
- W2678387399 type Work @default.
- W2678387399 sameAs 2678387399 @default.
- W2678387399 citedByCount "22" @default.
- W2678387399 countsByYear W26783873992018 @default.
- W2678387399 countsByYear W26783873992019 @default.
- W2678387399 countsByYear W26783873992020 @default.
- W2678387399 countsByYear W26783873992021 @default.
- W2678387399 countsByYear W26783873992022 @default.
- W2678387399 countsByYear W26783873992023 @default.
- W2678387399 crossrefType "journal-article" @default.
- W2678387399 hasAuthorship W2678387399A5011312338 @default.
- W2678387399 hasAuthorship W2678387399A5020199331 @default.
- W2678387399 hasAuthorship W2678387399A5034654778 @default.
- W2678387399 hasAuthorship W2678387399A5046834930 @default.
- W2678387399 hasAuthorship W2678387399A5057945355 @default.
- W2678387399 hasAuthorship W2678387399A5067744883 @default.
- W2678387399 hasConcept C107872376 @default.
- W2678387399 hasConcept C113196181 @default.
- W2678387399 hasConcept C120665830 @default.
- W2678387399 hasConcept C121332964 @default.
- W2678387399 hasConcept C125620115 @default.
- W2678387399 hasConcept C127313418 @default.
- W2678387399 hasConcept C127413603 @default.
- W2678387399 hasConcept C168167062 @default.
- W2678387399 hasConcept C185592680 @default.
- W2678387399 hasConcept C192562407 @default.
- W2678387399 hasConcept C198352243 @default.
- W2678387399 hasConcept C205649164 @default.
- W2678387399 hasConcept C21880701 @default.
- W2678387399 hasConcept C2524010 @default.
- W2678387399 hasConcept C32891209 @default.
- W2678387399 hasConcept C33923547 @default.
- W2678387399 hasConcept C39432304 @default.
- W2678387399 hasConcept C40003534 @default.
- W2678387399 hasConcept C62520636 @default.
- W2678387399 hasConcept C78762247 @default.
- W2678387399 hasConcept C97137747 @default.
- W2678387399 hasConcept C97355855 @default.
- W2678387399 hasConceptScore W2678387399C107872376 @default.
- W2678387399 hasConceptScore W2678387399C113196181 @default.
- W2678387399 hasConceptScore W2678387399C120665830 @default.