FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2963654228> ?p ?o ?g. }

• W2963654228 endingPage "216" @default.
• W2963654228 startingPage "197" @default.
• W2963654228 abstract "Abstract The oil flow rate in a single vertical well undergoing gas lift operations is complicated by three factors: (1) The flow is driven by gas injection, in addition to the fluid flow potential gradient applied along the well, (2) the well is interfaced with a porous and permeable reservoir contributing with a fluid feed, and (3) the wellbore geometry may consist of concentric pipes of varying diameters and lengths, rather than a single-diameter pipe. Dimensional analysis is applied to this complex, highly nonlinear production problem, in order to develop empirical models for predicting the optimal gas injection rate and the maximum oil production rate that may be produced from continuous gas lift operations. Two pairs of coupled dimensionless groups are revealed. The first pair consists of a dimensionless pressure drop ( π 1 ) adjusted to the complex wellbore geometry, and a dimensionless ratio of kinetic to viscous forces ( π 2 ) which accounts for the porous medium feed. A constructed database for 388 vertical wells producing by continuous gas lift operations has been used to validate the dimensionless groups. A power-law relation is revealed between the dimensionless groups π 1 and π 2 , allowing to construct an analytical model for predicting the maximum oil production rate that corresponds to the optimal gas injection rate. The second pair consists of two groups denoted χ 1 and χ 2 . The group χ 1 is a dimensionless pressure drop with adjustment being augmented to account for the temperature effects on gas flow. Similar to π 2 , the dimensionless group χ 2 is a ratio of kinetic to viscous forces, adjusted to account for the porous medium feed. However, χ 2 is a function of the injection rate, instead of the oil production rate. Likewise, a power-law relation is revealed between χ 1 and χ 2 , allowing to construct an analytical model for predicting the optimal gas injection rate. All power-law relations yield high correlation coefficients when the validation data are segregated according to a discrete productivity index. The analytical models developed by applying dimensional analysis appear to capture the physical controls of gas lift operations. Intuitively, the optimal gas injection rate depends on the pressure gradient along the pipe, the wellbore geometry, the temperature conditions at the bottom of the well and in the stock-tank, the oil density, and on the productivity index. Similarly, the maximum oil production rate, corresponding to the optimal gas injection rate, depends on the pressure gradient along the pipe, the wellbore geometry, the oil density, the productivity index which is implicitly affected by the oil permeability, and viscosity. Unlike multivariate nonlinear regression analysis, the application of dimensional analysis for deriving the analytical models, presented in this study, does not require a presumed functional relationship. In retrospect, dimensional analysis evades the guessing process associated with nonlinear regression analysis." @default.
• W2963654228 created "2019-07-30" @default.
• W2963654228 creator A5046249110 @default.
• W2963654228 creator A5074232799 @default.
• W2963654228 creator A5089795577 @default.
• W2963654228 date "2019-07-20" @default.
• W2963654228 modified "2023-09-23" @default.
• W2963654228 title "A pragmatic approach for optimizing gas lift operations" @default.
• W2963654228 cites W1758335885 @default.
• W2963654228 cites W1905949925 @default.
• W2963654228 cites W1967574274 @default.
• W2963654228 cites W1978025036 @default.
• W2963654228 cites W1978685464 @default.
• W2963654228 cites W1985509952 @default.
• W2963654228 cites W1986687085 @default.
• W2963654228 cites W2008687967 @default.
• W2963654228 cites W2012542133 @default.
• W2963654228 cites W2015156762 @default.
• W2963654228 cites W2026453518 @default.
• W2963654228 cites W2032419264 @default.
• W2963654228 cites W2034544686 @default.
• W2963654228 cites W2040291016 @default.
• W2963654228 cites W2043915444 @default.
• W2963654228 cites W2053242229 @default.
• W2963654228 cites W2055391622 @default.
• W2963654228 cites W2064807928 @default.
• W2963654228 cites W2071645494 @default.
• W2963654228 cites W2078493214 @default.
• W2963654228 cites W2106042369 @default.
• W2963654228 cites W2118020555 @default.
• W2963654228 cites W2127543226 @default.
• W2963654228 cites W2149723649 @default.
• W2963654228 cites W2233880653 @default.
• W2963654228 cites W2322052308 @default.
• W2963654228 cites W2326939356 @default.
• W2963654228 cites W2344529452 @default.
• W2963654228 cites W2551318756 @default.
• W2963654228 cites W2752670419 @default.
• W2963654228 cites W2889375999 @default.
• W2963654228 cites W4235786176 @default.
• W2963654228 cites W4241476017 @default.
• W2963654228 cites W597588242 @default.
• W2963654228 cites W2015480994 @default.
• W2963654228 doi "https://doi.org/10.1007/s13202-019-0733-7" @default.
• W2963654228 hasPublicationYear "2019" @default.
• W2963654228 type Work @default.
• W2963654228 sameAs 2963654228 @default.
• W2963654228 citedByCount "6" @default.
• W2963654228 countsByYear W29636542282019 @default.
• W2963654228 countsByYear W29636542282021 @default.
• W2963654228 countsByYear W29636542282022 @default.
• W2963654228 countsByYear W29636542282023 @default.
• W2963654228 crossrefType "journal-article" @default.
• W2963654228 hasAuthorship W2963654228A5046249110 @default.
• W2963654228 hasAuthorship W2963654228A5074232799 @default.
• W2963654228 hasAuthorship W2963654228A5089795577 @default.
• W2963654228 hasBestOaLocation W29636542281 @default.
• W2963654228 hasConcept C114088122 @default.
• W2963654228 hasConcept C121332964 @default.
• W2963654228 hasConcept C124101348 @default.
• W2963654228 hasConcept C127313418 @default.
• W2963654228 hasConcept C139002025 @default.
• W2963654228 hasConcept C172120300 @default.
• W2963654228 hasConcept C187320778 @default.
• W2963654228 hasConcept C24872484 @default.
• W2963654228 hasConcept C2778163939 @default.
• W2963654228 hasConcept C33923547 @default.
• W2963654228 hasConcept C41008148 @default.
• W2963654228 hasConcept C57879066 @default.
• W2963654228 hasConcept C6648577 @default.
• W2963654228 hasConcept C78762247 @default.
• W2963654228 hasConcept C97355855 @default.
• W2963654228 hasConcept C98156149 @default.
• W2963654228 hasConceptScore W2963654228C114088122 @default.
• W2963654228 hasConceptScore W2963654228C121332964 @default.
• W2963654228 hasConceptScore W2963654228C124101348 @default.
• W2963654228 hasConceptScore W2963654228C127313418 @default.
• W2963654228 hasConceptScore W2963654228C139002025 @default.
• W2963654228 hasConceptScore W2963654228C172120300 @default.
• W2963654228 hasConceptScore W2963654228C187320778 @default.
• W2963654228 hasConceptScore W2963654228C24872484 @default.
• W2963654228 hasConceptScore W2963654228C2778163939 @default.
• W2963654228 hasConceptScore W2963654228C33923547 @default.
• W2963654228 hasConceptScore W2963654228C41008148 @default.
• W2963654228 hasConceptScore W2963654228C57879066 @default.
• W2963654228 hasConceptScore W2963654228C6648577 @default.
• W2963654228 hasConceptScore W2963654228C78762247 @default.
• W2963654228 hasConceptScore W2963654228C97355855 @default.
• W2963654228 hasConceptScore W2963654228C98156149 @default.
• W2963654228 hasIssue "1" @default.
• W2963654228 hasLocation W29636542281 @default.
• W2963654228 hasOpenAccess W2963654228 @default.
• W2963654228 hasPrimaryLocation W29636542281 @default.
• W2963654228 hasRelatedWork W1969291583 @default.
• W2963654228 hasRelatedWork W1986589016 @default.
• W2963654228 hasRelatedWork W2037980109 @default.
• W2963654228 hasRelatedWork W2077951687 @default.
• W2963654228 hasRelatedWork W2888102047 @default.

• next