Predicting PVT data for CO2–brine mixtures for black-oil simulation of CO2 geological storage

Hassanzadeh, Hassan; Pooladi‐Darvish, Mehran; Elsharkawy, Adel M.; Keith, David W.; Leonenko, Yuri

doi:10.1016/s1750-5836(07)00010-2

Cited by 154 publications

(82 citation statements)

References 44 publications

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“…The model presented by Hassanzadeh et al [3] was used to generate the PVT tables required for black-oil simulation of WASP project in CMG-IMEX [15]. Figure …”

Section: Conflict Of Interestmentioning

confidence: 99%

“…Accurate black-oil PVT model for a twocomponent CO 2 -brine system have been developed and validated against the experimental data and were adopted in this project. The details of the PVT model and its implications can be found in Hassanzadeh et al [3,4]. Figure A1(A-C) in Appendix A1 shows the properties of the fluid system pertinent to this study.…”

Section: Introductionmentioning

confidence: 99%

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Reservoir modeling for Wabamun lake sequestration project

Ghaderi

Leonenko

2015

Energy Science & Engineering

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A study, entitled "Wabamun Lake Sequestration Project" or "WASP," was performed to evaluate large-scale CO 2 storage opportunities in the Wabamun area including potential risks. The project examined the feasibility of storing 20 megatons (Mt) of CO 2 per year over 50 years. This scale is one order of magnitude larger than the typical benchmark (1 Mt/year) used in academic research and commercial projects that are currently in place or under review. The study was conducted by a group of researchers from several universities as well as industry consultants. This study presents an overview of the reservoir modeling part of this study, which the authors were responsible for. The main objectives of the reservoir modeling for WASP project were as follows: (1) estimation of storage capacity (traditionally, this value is projected based on the available pore space, but we have an additional practical consideration: the maximum amount one can inject within short period of time [~50 years] and within a localized injection area [~30 km 9 90 km]); (2) investigation of CO 2 plume movement and pressure distribution during and after injection including the effect of formation dip angle on the plume shape and its migration; (3) investigation of the long-term fate of injection associated with free phase CO 2 (risks of leakage) and aquifer pressurization (possible geomechanical changes and related phenomena); (4) investigation of the phase behavior of H 2 S initially available and dissolved in brine during CO 2 sequestration process. The WASP reservoir modeling study mentioned above led to a few important findings. The most important one is that, when CO 2 is being injected into a sour aquifer, initially dissolved H 2 S will release into the expanding CO 2 plume and accumulate at the leading edge of the plume. Also, the large-scale injection scheme (20 Mt/ year), which requires multi well injectors, provides very different pressure response compared to a one well (1 Mt/year) scenario.

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“…The model presented by Hassanzadeh et al [3] was used to generate the PVT tables required for black-oil simulation of WASP project in CMG-IMEX [15]. Figure …”

Section: Conflict Of Interestmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reservoir modeling for Wabamun lake sequestration project

Ghaderi

Leonenko

2015

Energy Science & Engineering

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“…R s and B b can be expressed in terms of the equilibrium properties obtained from an equation of state [14]:…”

Section: The Black-oil Formulation Of Two-phase Flow In Porous Mediamentioning

confidence: 99%

“…This conversion from compositional data from equations of state into the black-oil PVT data is performed applying an algorithm developed by Hassanzadeh et al [14], The numerical solution was obtained employing the public domain software BOAST [12]. BOAST solves the differential equations using IMPES (IMplicit Pressure Explicit Saturation), a semi-implicit finite difference technique [17].…”

Section: The Black-oil Formulation Of Two-phase Flow In Porous Mediamentioning

confidence: 99%

Numerical Modeling of Fluid Flowand Time-Lapse Seismograms Applied to Co2 Storage and Monitoring

Savioli¹,

Santos²,

Carcione³

et al. 2014

Proceedings of 10th World Congress on Computational Mechanics

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“…This general classification of hydrocarbon reservoir types is based on the chemical and physical characterization of the petroleum mixtures with emphasis on evolution to other 1 3 compositions such as reduction in light alkane content and increase in heavy components associated with diffusion and biodegradation (Katz et al 1943;Lin et al 1972;Karlsen et al 1993;Larter et al 2006). Studies such as the analysis of Ula field in North Sea (Aplin et al 1999) (Brent formation) and the detailed analysis of oil sands in Canada (Hassanzadeh et al 2008;Larter et al 2008) have had enhanced accuracy and computational efficiency of black-oil reservoir simulations. The black-oil PVT method appears to be reasonably reliable for prediction of thermodynamic properties of the petroleum trapped in fluid inclusions (Standing 1952;Starling and Powers 1970;Roedder 1984a, b;Pederson et al 1984Pederson et al , 1989Stasiuk and Snowdon 1997;Swarbrick et al 2000;Thiéry et al 2000;Tseng et al 2002;Volk et al 2002).…”

Section: Introductionmentioning

confidence: 99%