Matches in SemOpenAlex for { <https://semopenalex.org/work/W2371902085> ?p ?o ?g. }
Showing items 1 to 65 of
65
with 100 items per page.
- W2371902085 abstract "When geostatistical tools were used to simulate reservoirs,the proportion of uncertain factors in the realization resulted from the classical Sequence Gaussian Simulation (SGS) algorithm correlated with both the data and the algorithm used. During reservoir simulations,a complete evaluation of realizations would not be obtained unless the data and the algorithm used are analyzed in details. The results of realizations may vary greatly,sometimes even showing a reverse trend. SGS has statistical significance,thus,the data processing will then exert an influence on the algorithm itself. The analysis and processing combined with algorithm and data may eliminate or reduce this influence and optimize the result through improving the SGS method on condition that hard data are fully used. Based on the distribution of hard data,this paper attempted to make the random quantity be less than the quantity of the estimated value during the course of reservoir simulations by means of conditionally controlling the proportion of the random quantity,consequently,no random quantity would be apt to shield the geological change trend of hard data.At the same time,the grid points that could search more hard data would be simulated first by measurably controlling the simulation sequence during the course of simulation,which could make full use of hard data and reduce the disturbance of random noise.The SGS approach presented in this paper can reflect more geology rules implied by the whole hard data than the classic SGS method previously used in reservoir simulations." @default.
- W2371902085 created "2016-06-24" @default.
- W2371902085 creator A5075301366 @default.
- W2371902085 date "2010-01-01" @default.
- W2371902085 modified "2023-09-28" @default.
- W2371902085 title "Stochastic simulations of clastic reservoirs in East China" @default.
- W2371902085 hasPublicationYear "2010" @default.
- W2371902085 type Work @default.
- W2371902085 sameAs 2371902085 @default.
- W2371902085 citedByCount "0" @default.
- W2371902085 crossrefType "journal-article" @default.
- W2371902085 hasAuthorship W2371902085A5075301366 @default.
- W2371902085 hasConcept C105795698 @default.
- W2371902085 hasConcept C11413529 @default.
- W2371902085 hasConcept C121332964 @default.
- W2371902085 hasConcept C127313418 @default.
- W2371902085 hasConcept C163716315 @default.
- W2371902085 hasConcept C25915931 @default.
- W2371902085 hasConcept C2778112365 @default.
- W2371902085 hasConcept C2781089630 @default.
- W2371902085 hasConcept C33923547 @default.
- W2371902085 hasConcept C41008148 @default.
- W2371902085 hasConcept C54355233 @default.
- W2371902085 hasConcept C62520636 @default.
- W2371902085 hasConcept C86803240 @default.
- W2371902085 hasConceptScore W2371902085C105795698 @default.
- W2371902085 hasConceptScore W2371902085C11413529 @default.
- W2371902085 hasConceptScore W2371902085C121332964 @default.
- W2371902085 hasConceptScore W2371902085C127313418 @default.
- W2371902085 hasConceptScore W2371902085C163716315 @default.
- W2371902085 hasConceptScore W2371902085C25915931 @default.
- W2371902085 hasConceptScore W2371902085C2778112365 @default.
- W2371902085 hasConceptScore W2371902085C2781089630 @default.
- W2371902085 hasConceptScore W2371902085C33923547 @default.
- W2371902085 hasConceptScore W2371902085C41008148 @default.
- W2371902085 hasConceptScore W2371902085C54355233 @default.
- W2371902085 hasConceptScore W2371902085C62520636 @default.
- W2371902085 hasConceptScore W2371902085C86803240 @default.
- W2371902085 hasLocation W23719020851 @default.
- W2371902085 hasOpenAccess W2371902085 @default.
- W2371902085 hasPrimaryLocation W23719020851 @default.
- W2371902085 hasRelatedWork W1567000658 @default.
- W2371902085 hasRelatedWork W1987808814 @default.
- W2371902085 hasRelatedWork W2007227992 @default.
- W2371902085 hasRelatedWork W2019591822 @default.
- W2371902085 hasRelatedWork W2022049292 @default.
- W2371902085 hasRelatedWork W2040145775 @default.
- W2371902085 hasRelatedWork W2040935988 @default.
- W2371902085 hasRelatedWork W2058447139 @default.
- W2371902085 hasRelatedWork W2077768396 @default.
- W2371902085 hasRelatedWork W2109002304 @default.
- W2371902085 hasRelatedWork W2130477188 @default.
- W2371902085 hasRelatedWork W2306900971 @default.
- W2371902085 hasRelatedWork W2323593740 @default.
- W2371902085 hasRelatedWork W2358052121 @default.
- W2371902085 hasRelatedWork W271748762 @default.
- W2371902085 hasRelatedWork W2803150073 @default.
- W2371902085 hasRelatedWork W2906572191 @default.
- W2371902085 hasRelatedWork W3022104286 @default.
- W2371902085 hasRelatedWork W3122874706 @default.
- W2371902085 hasRelatedWork W2182618276 @default.
- W2371902085 isParatext "false" @default.
- W2371902085 isRetracted "false" @default.
- W2371902085 magId "2371902085" @default.
- W2371902085 workType "article" @default.