Fracture network modeling conditioned to pressure transient and tracer test dynamic data

Bogatkov, D.; Babadagli, Tayfun

doi:10.1016/j.petrol.2010.11.004

Cited by 21 publications

(9 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The Midale field is a highly heterogeneous naturally fractured reservoir, and that is why tracer test simulation is very challenging for this case. Tracer test simulation of the Midale field using a single continuum model as well as a dual permeability model is described by Bogatkov (2008) and Bogatkov and Babadagli (2010). They stated that tracer test simulation results are very sensitive to the fracture network geometry.…”

Section: Problem Statement and Objectivesmentioning

confidence: 99%

“…In the case of the Midale field tracer tests, provided by Bogatkov and Babadagli (2010), all four assumptions are valid: (1) tracer tests were performed after many years of waterflooding, so most of the oil was washed out of the reservoir, and the remaining oil can be neglected., (2) early tracer breakthrough times indicate fracture-dominated flow (Lavoie 1987), (3) if the fracture has more complicated geometry, we can always represent it by two or three rectangles, and (4) tracer tests on the Midale field were conducted at nearly constant production and injection rates.…”

Section: Algorithm Descriptionmentioning

confidence: 99%

“…To validate the described RWPT algorithm, we modeled a series of tracer tests conducted in the Midale field CO 2 flood pilot area (data obtained from Bogatkov and Babadagli, 2010). This area was chosen because it as an example of a highly fractured reservoir, and for the quality of data and available information (especially the field tracer data).…”

Section: Application For the Midale Field Tracer Testmentioning

confidence: 99%

“…This area was chosen because it as an example of a highly fractured reservoir, and for the quality of data and available information (especially the field tracer data). A detailed description of this data on the Midale field and the Midale CO 2 flood pilot area is available in the literature (Lavoie 1987, Mundry 1989, Fisher 1994, Bunge 2000, Bogatkov 2008, Bogatkov and Babadagli, 2010. The work of Beliveau et al (1993) contains a detailed analysis of the Midale CO 2 flood pilot area fracture network, which was the focus area in the present study.…”

Section: Application For the Midale Field Tracer Testmentioning

confidence: 99%

“…To simulate the tracer test, we started with the generation of the fracture network using the following data obtained from earlier reports (Beliveau 1993, Fischer 1994, Bogatkov 2008, Bogatkov and Babadagli 2010 • The main (on-trend) fracture set consists of 300 meters long fractures, uniformly distributed along the grid • Orientation of the main fracture set is N48 o E • The secondary (off-trend) fracture set is orthogonal to the main set and has 10 times lesser fracture spacing • Lengths of secondary fractures are distributed as N(50,5) (meters) • Heights of all fractures are distributed as N(7,1) (meters) • Widths of all fractures are 6 cm • Fracture permeability is 150D • Matrix permeability is 0.15D Based on this model, we performed a sensitivity analysis and a history match exercise. The results of the sensitivity analysis are described in the next section.…”

Section: Application For the Midale Field Tracer Testmentioning

confidence: 99%

See 4 more Smart Citations

Field Scale Modeling of Tracer Injection in Naturally Fractured Reservoirs using the Random-Walk Simulation

Stalgorova

Babadagli

2011

SPE Western North American Region Meeting

View full text Add to dashboard Cite

Modeling complex transport processes in naturally fractured reservoirs (NFRs) using classical continuum models may not be practically possible, because using classical algorithms for the detailed structure of fracture-matrix system requires unreasonable computational time. Also, fractured reservoirs are highly heterogeneous, and finite-difference calculations for such models often cause convergence problems. In addition to these, an exact representation of a complex fracture network in classical continuum modeling algorithms is highly difficult. An alternative is to use a non-classical technique known as the Random Walk Particle Tracking (RWPT) algorithm.We showed earlier (Stalgorova and Babadagli, 2009) that the random walk (RW) technique can be adapted to model miscible flooding in a fractured porous medium at the lab scale. The unknown parameters used to match the model results were only diffusion coefficients for oil and solvent, as the diffusive/dispersive transport (effective if fracture and matrix) was coupled with viscous (effective in fracture) and gravity (effective in fracture and matrix) displacement. Advantages of this method over classical simulation are: (1) shorter computational time, which allows avoidance of simplifications, and (2) the ability to model the matrix-fracture diffusion process without any transfer function.In the present paper, we modified this lab scale RW model for field scale applications. For validation, a series of tracer test results from the Midale field in Canada was used. Fracture network model was constructed based on geological data, and then we used the RWPT model to calibrate the fracture network against tracer test results.We performed a sensitivity analysis to identify the importance of different parameters for the simulation results. The new model and observations can be used to validate and calibrate stochastically generated fracture network models and to estimate the EOR performance of NFRs. IntroductionFluid flow in fractured geological media is very common and has been the subject of many research studies in different engineering disciplines including oil and gas production, enhanced oil recovery, groundwater contamination, nuclear waste disposal, and CO 2 sequestration in underground reservoirs. Yet its simulation is quite a challenging task. The main reason is the complexity of this type of heterogeneity and its representation in mathematical models.Fluid flow modeling starts from reservoir characterization and representation of a geological model. It is mainly the description of fracture network geometry, which also describes the matrix size distribution. Characteristically, there is not enough information available to describe the properties of each single fracture. Instead, only bigger fractures are defined directly, and a set of smaller fractures is assigned by a number of stochastic characteristics, such as distributions of fracture directions, lengths, widths, permeabilities, etc. Once reservoir characterization and fracture network description (static m...

show abstract

Section: Problem Statement and Objectivesmentioning

confidence: 99%

Section: Algorithm Descriptionmentioning

confidence: 99%

Section: Application For the Midale Field Tracer Testmentioning

confidence: 99%

Section: Application For the Midale Field Tracer Testmentioning

confidence: 99%

Section: Application For the Midale Field Tracer Testmentioning

confidence: 99%

See 3 more Smart Citations

Field Scale Modeling of Tracer Injection in Naturally Fractured Reservoirs using the Random-Walk Simulation

Stalgorova

Babadagli

2011

SPE Western North American Region Meeting

View full text Add to dashboard Cite

show abstract

Mechanistic analysis of acid gas storage and oil recovery in naturally fractured reservoirs using single matrix block approach

Shirzad,

Sadeghzadeh,

Assareh

2024

Greenhouse Gases

View full text Add to dashboard Cite

The objective of this study is to assess the storage of acid gas, containing CO2 and H2S, in a depleted naturally fractured reservoir (NFR) using single matrix block (SMB) approach. The acid gas dissolution in oil is considered by Peng‐Robinson equation of state and compositional simulation. The PHREEQC package is used to determine acid gas solubility in formation brine. Three types of acid gases with different compositions are used for this study and their swelling behavior and miscibility in relation to the reservoir oil are analyzed. An SMB model, with a matrix block surrounded by fractures, is constructed, and validated for simulation of a real experiment. The simulation is conducted for synthetic and real reservoir fluids when the oil is in its residual saturation. A sensitivity analysis is performed to study the effects of key parameters, such as acid gas composition, reservoir pressure, permeability, porosity and matrix height on the storage capacity and oil recovery factor. The matrix has a volume of 27 m3 and about half of acid gas storage is achieved in the first 5 years while the simulations are run for 30 years. The results show that up to 90% of remained oil is recoverable, and more than 0.67 kmol of acid gas per cubic meter of matrix is stored whether matrix contains a real oil or a synthetic one. Higher storage is achieved for higher matrix porosities and heights and large H2S proportion in acid gas. In all cases about 10% of acid gas is trapped in water and the remaining 90% is dissolved in oil. The mineral trapping was more active in CO2‐rich acid gases. While about 10 kg of the matrix rock was dissolved in the acidic brine when the acid gas contained H2S, the amount of the dissolved minerals in acidic brine resulted from the injection of CO2‐rich acid gas was more than 16 kg. Finally, this study gives a comparative analysis of the storage performance of acid gas mixture and pure CO2. © 2024 Society of Chemical Industry and John Wiley & Sons, Ltd.

show abstract

Parameter Estimation in a Model for Tracer Transport in One-Dimensional Fractals

Herrera-Hernández

Coronado

2015

Selected Topics of Computational and Experimental Fluid Mechanics

View full text Add to dashboard Cite

Fracture network modeling conditioned to pressure transient and tracer test dynamic data

Cited by 21 publications

References 9 publications

Field Scale Modeling of Tracer Injection in Naturally Fractured Reservoirs using the Random-Walk Simulation

Field Scale Modeling of Tracer Injection in Naturally Fractured Reservoirs using the Random-Walk Simulation

Mechanistic analysis of acid gas storage and oil recovery in naturally fractured reservoirs using single matrix block approach

Parameter Estimation in a Model for Tracer Transport in One-Dimensional Fractals

Contact Info

Product

Resources

About