Global approach for calculation of minimum miscibility pressure

Jessen, Kristian; Michelsen, Michael Locht; Stenby, Erling Halfdan

doi:10.1016/s0378-3812(98)00414-2

Cited by 117 publications

(83 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our research has shown that published methods (Johns and Orr, 1996; Wang and Orr, 2002;Jessen et al, 1998) will not always converge to the correct MMP for a variety of fluid characterizations. This research presents a simplified and robust method for MMP or MME calculation that does obtain the correct MMP.…”

Section: Introductionmentioning

confidence: 88%

“…They also found that MMP's and MME's estimated by ternary methods were different than those observed for combined CV drives. Thus, new methods were needed to estimate MMP's and MME's for real systems.Four primary methods have been used in recent years to calculate MMP's and MME's for real systems: slim tube experiments, compositional simulation, (Stalkup, 1987) mixing-cell models, (Zick) and analytical models (Johns and Orr, 1996; Wang and Orr, 2002;Jessen et al, 1998). Each of these methods, however, has advantages and analytically proved the existence of the combined CV mechanism.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Development of More-Efficient Gas Flooding Applicable to Shallow Reservoirs

Rossen¹,

Johns²,

Pope³

2003

View full text Add to dashboard Cite

ABSTRACT:The objective of this research is to widen the applicability of gas flooding to shallow oil reservoirs by reducing the pressure required for miscibility using gas enrichment and increasing sweep efficiency with foam. Task 1 examines the potential for improved oil recovery with enriched gases. Subtask 1.1 examines the effect of dispersion processes on oil recovery and the extent of enrichment needed in the presence of dispersion. Subtask 1.2 develops a fast, efficient method to predict the extent of enrichment needed for crude oils at a given pressure. Task 2 develops improved foam processes to increase sweep efficiency in gas flooding. Subtask 2.1 comprises mechanistic experimental studies of foams with N 2 gas. Subtask 2.2 conducts experiments with CO 2 foam. Subtask 2.3 develops and applies a simulator for foam processes in field application.Regarding Task 1, significant research was accomplished in the last three and one-half years with over 11 journal and conference publications, many of which have been repeatedly referenced by other researchers. All goals, except one, were accomplished for both Task 1.1 and Task 1.2. The remaining goal on the development of accurate CO 2 MMP correlations is near completion and will be published in a future paper. Task 1.1 focused on the effect of dispersive processes on oil recovery and how to enrich gas so that the MMP can be reduced. Simulation studies (Solano et al., 2001; 4 Stalkup, 1990) show that oil recovery for enriched gas drives depends on the amount of dispersion in reservoir media, but the value of dispersion, expressed as dispersivity, at the field scale, is unknown. This research investigated three types of dispersion in permeable media to obtain realistic estimates of dispersive mixing at the field scale. These types are echo dispersivity, which is unaffected by fluid flow direction, transmission dispersivity, which is caused by layering in permeable media, and local dispersivity, which is the mixing observed at a point in the reservoir as tracer flows past.We analyzed a collection of single-well tracer test (SWTT) data to estimate echo dispersivity at the SWTT scale. The estimated echo dispersivities closely match a published trend with length in dispersivities obtained from groundwater tracer tests. This unexpected result-it was thought that transmission dispersivity should be greater than echo dispersivity-is analyzed with numerical simulation. The agreement between the SWTT echo dispersivities and the field trend suggests that the field data are measuring local dispersivities, which are on the order of 2 ft. All dispersivities appear to grow with length.The interaction of phase behavior and flow, in the presence of dispersive mixing, was examined for 1-D four-component and twelve-component enriched-gas displacements. Numerical and analytical solutions demonstrated that oil recovery may be substantially increased by gas enrichment above the minimum enrichment for miscibility (MME). For the twelve-component oil, the increase in recovery (displ...

show abstract

Section: Introductionmentioning

confidence: 88%

mentioning

confidence: 99%

Development of More-Efficient Gas Flooding Applicable to Shallow Reservoirs

Rossen¹,

Johns²,

Pope³

2003

View full text Add to dashboard Cite

show abstract

“…For example, uncertainties persist in how CO 2 interacts and mixes with gas, water, and oil in the same pore. Changes in solubility, equations of state, dynamic composition, fluid properties, and interfacial tension make it difficult to predict sweep, dissolution rate, and mixing front trajectories (e.g., Stalkup 1987;Jessen et al 1998;Yang et al 2005). Initial modeling work has explored how the introduction of CO 2 might affect existing subsurface microbial communities (e.g., .…”

Section: Co 2 Behavior At Depthmentioning

confidence: 99%

Basic Research Needs for Geosciences: Facilitating 21st Century Energy Systems

DePaolo¹,

Orr²

2007

View full text Add to dashboard Cite

“…1 shows the results. The MMP was calculated by the tie-line intersection technique of Wang and Orr (2001) using the efficient computational approach developed by Jessen et al (1998). That method is based on solutions obtained by the method of characteristics for the conservation equations that describe onedimensional flow of two-phase, multicomponent mixtures in the absence of dispersion.…”

Section: Interactions Of Phase Behavior and Flowmentioning

confidence: 99%