Yang et al., 2024 - Google Patents
Research on component variation and factors affecting minimum miscible pressure in low viscosity oil miscibility processYang et al., 2024
View HTML- Document ID
- 11262511421558895173
- Author
- Yang K
- Yang S
- Hu J
- Gao Y
- Liu X
- Xiao Z
- Publication year
- Publication venue
- ACS omega
External Links
Snippet
Miscible gas flooding is an important approach for enhancing the recovery of unconventional oil reservoirs. The injected gas and crude oil components has a significant impact on the minimum miscible pressure. In order to clarify the miscibility characteristics …
- 238000000034 method 0 title description 202
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/26—Investigating or analysing materials by specific methods not covered by the preceding groups oils; viscous liquids; paints; inks
- G01N33/28—Oils, i.e. hydrocarbon liquids
- G01N33/2823—Oils, i.e. hydrocarbon liquids raw oil, drilling fluid or polyphasic mixtures
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
- E21B43/16—Enhanced recovery methods for obtaining hydrocarbons
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
- E21B43/25—Methods for stimulating production
- E21B43/26—Methods for stimulating production by forming crevices or fractures
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
- G01N30/02—Column chromatography
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Hassan et al. | Novel technique to eliminate gas condensation in gas condensate reservoirs using thermochemical fluids | |
| Elsharkawy et al. | Measuring CO2 minimum miscibility pressures: slim-tube or rising-bubble method? | |
| Nobakht et al. | Determination of CO2 minimum miscibility pressure from measured and predicted equilibrium interfacial tensions | |
| Li et al. | Influence of heterogeneity and fracture conductivity on supercritical CO2 miscible flooding enhancing oil recovery and gas channeling in tight oil reservoirs | |
| Ahmed et al. | Complex flow and composition path in CO2 injection schemes from density effects | |
| Zhang et al. | Solubility variation and prediction model of CO2 in water-bearing crude oil | |
| Mu et al. | Analytical solution of Buckley-Leverett equation for gas flooding including the effect of miscibility with constant-pressure boundary | |
| Ibrahim et al. | Applications of artificial intelligence to predict oil rate for high gas–oil ratio and water-cut wells | |
| Shokir et al. | Gas lift optimization using artificial neural network and integrated production modeling | |
| Yu et al. | A new method of predicting the saturation pressure of oil reservoir and its application | |
| Lawal et al. | Effect of chemical partition behavior on oil recovery by wettability alteration in fractured tight reservoirs | |
| Tang et al. | Experimental study on spontaneous imbibition of CO2-rich brine in tight oil reservoirs | |
| Miri et al. | Experimental and numerical modeling study of gravity drainage considering asphaltene deposition | |
| Seddiqi et al. | Optimization and performance evaluation of a foam plugging profile control well selection system | |
| Alakbari et al. | An accurate reservoir’s bubble point pressure correlation | |
| Xian et al. | Laboratory experiments of hydrocarbon gas flooding and its influencing factors on oil recovery in a low permeability reservoir with medium viscous oil | |
| Yang et al. | Research on component variation and factors affecting minimum miscible pressure in low viscosity oil miscibility process | |
| Yin et al. | Semianalytical modeling for multiphase flow in a fractured low-permeability gas condensate reservoir | |
| Junira et al. | Optimization of huff-n-puff field gas enhanced oil recovery through a vertical well with multiple fractures in a low-permeability shale–sand–carbonate reservoir | |
| Li et al. | A modified multiple-mixing-cell algorithm for minimum miscibility pressure prediction with the consideration of the asphaltene-precipitation effect | |
| Li et al. | Four-phase flash calculation algorithm based on the free-water assumption | |
| Hao et al. | Study of Different Gas Floodings on Minimum Miscibility Pressure and Oil Recovery in a Low-Permeability Reservoir with Medium Viscous Oil | |
| Chai et al. | Integrated hierarchy–correlation model for evaluating water-driven oil reservoirs | |
| Du et al. | New Gas Tracer Convection–Diffusion Model between Wells in Heavy Oil Reservoirs | |
| Zhang et al. | Fracture characterization during flowback with two-phase flow in tight and ultratight oil reservoirs |