Performance-based fractal fracture model for complex fracture network simulation

Wang, Wendong; Zhang, Qi; Xiang, Gang; Cui, Shiming

doi:10.1007/s12182-017-0202-1

Cited by 21 publications

(10 citation statements)

References 34 publications

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“…Wang et al (2017) introduced the L-system into fracture characterization because a fracture has similar development rules to trees. Four key parameters are used to control the generation of the fracture network, and these parameters influence the performance of production wells (Wang et al 2018):…”

Section: Fractal Theorymentioning

confidence: 99%

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Drained rock volume around hydraulic fractures in porous media: planar fractures versus fractal networks

Nandlal

Weijermars

2019

Pet. Sci.

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This study applies the Lindenmayer system based on fractal theory to generate synthetic fracture networks in hydraulically fractured wells. The applied flow model is based on complex analysis methods, which can quantify the flow near the fractures, and being gridless, is computationally faster than traditional discrete volume simulations. The representation of hydraulic fractures as fractals is a more realistic representation than planar bi-wing fractures used in most reservoir models. Fluid withdrawal from the reservoir with evenly spaced hydraulic fractures may leave dead zones between planar fractures. Complex fractal networks will drain the reservoir matrix more effectively, due to the mitigation of stagnation flow zones. The flow velocities, pressure response, and drained rock volume (DRV) are visualized for a variety of fractal fracture networks in a single-fracture treatment stage. The major advancement of this study is the improved representation of hydraulic fractures as complex fractals rather than restricting to planar fracture geometries. Our models indicate that when the complexity of hydraulic fracture networks increases, this will suppress the occurrence of dead flow zones. In order to increase the DRV and improve ultimate recovery, our flow models suggest that fracture treatment programs must find ways to create more complex fracture networks.

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Section: Fractal Theorymentioning

confidence: 99%

“…4. Growth of the bifurcation of the fractures and irregular propagation mode of a complex fracture network are subject to fractal rules, which are an implicit means to account for geomechanical heterogeneities (Wang et al , 2017(Wang et al , 2018.…”

Section: Fractal Theorymentioning

confidence: 99%

Drained rock volume around hydraulic fractures in porous media: planar fractures versus fractal networks

Nandlal

Weijermars

2019

Pet. Sci.

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“…Early faults affect the subsequent development of new faults, and the pattern of later-forming faults reflects the distribution of earlier faults. Faults at different scales that develop during different time periods have a statistically significant similarity (Hirata 1989;Sarp 2014;Wang et al 2018). In the Jinhu Sag, we statistically analyzed 826 faults at different scales, including the sagcontrolling large fault and associated secondary faults.…”

Section: Self-similarity Evaluation Of Fractures In the Jinhu Sagmentioning

confidence: 99%

Quantitative multiparameter prediction of fault-related fractures: a case study of the second member of the Funing Formation in the Jinhu Sag, Subei Basin

et al. 2018

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In this paper, the analysis of faults with different scales and orientations reveals that the distribution of fractures always develops toward a higher degree of similarity with faults, and a method for calculating the multiscale areal fracture density is proposed using fault-fracture self-similarity theory. Based on the fracture parameters observed in cores and thin sections, the initial apertures of multiscale fractures are determined using the constraint method with a skewed distribution. Through calculations and statistical analyses of in situ stresses in combination with physical experiments on rocks, a numerical geomechanical model of the in situ stress field is established. The fracture opening ability under the in situ stress field is subsequently analyzed. Combining the fracture aperture data and areal fracture density at different scales, a calculation model is proposed for the prediction of multiscale and multiperiod fracture parameters, including the fracture porosity, the magnitude and direction of maximum permeability and the flow conductivity. Finally, based on the relationships among fracture aperture, density, and the relative values of fracture porosity and permeability, a fracture development pattern is determined.

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“…With additional flow regions, composite heterogeneous reservoirs that are partially penetrated by fractures in vertical and horizontal directions and fracture damage can be addressed. By characterizing unconventional reservoirs with the fractal theory, alternative linear flow idealization formulas were proposed (Ozcan et al 2014;Wang et al 2015Wang et al , 2018Zeng et al 2020). Although they are applicable for interpreting pressure and rate responses, their reliability is heavily dependent on the fractal properties they choose.…”

Section: Introductionmentioning

confidence: 99%

Shale gas reservoir modeling and production evaluation considering complex gas transport mechanisms and dispersed distribution of kerogen

Zeng

Liu

et al. 2020

Pet. Sci.

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Stimulated shale reservoirs consist of kerogen, inorganic matter, secondary and hydraulic fractures. The dispersed distribution of kerogen within matrices and complex gas flow mechanisms make production evaluation challenging. Here we establish an analytical method that addresses kerogen-inorganic matter gas transfer, dispersed kerogen distribution, and complex gas flow mechanisms to facilitate evaluating gas production. The matrix element is defined as a kerogen core with an exterior inorganic sphere. Unlike most previous models, we merely use boundary conditions to describe kerogen-inorganic matter gas transfer without the instantaneous kerogen gas source term. It is closer to real inter-porosity flow conditions between kerogen and inorganic matter. Knudsen diffusion, surface diffusion, adsorption/desorption, and slip corrected flow are involved in matrix gas flow. Matrix-fracture coupling is realized by using a seven-region linear flow model. The model is verified against a published model and field data. Results reveal that inorganic matrices serve as a major gas source especially at early times. Kerogen provides limited contributions to production even under a pseudo-steady state. Kerogen properties' influence starts from the late matrix-fracture inter-porosity flow regime, while inorganic matter properties control almost all flow regimes except the early-mid time fracture linear flow regime. The contribution of different linear flow regions is also documented.

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Performance-based fractal fracture model for complex fracture network simulation

Cited by 21 publications

References 34 publications

Drained rock volume around hydraulic fractures in porous media: planar fractures versus fractal networks

Drained rock volume around hydraulic fractures in porous media: planar fractures versus fractal networks

Quantitative multiparameter prediction of fault-related fractures: a case study of the second member of the Funing Formation in the Jinhu Sag, Subei Basin

Shale gas reservoir modeling and production evaluation considering complex gas transport mechanisms and dispersed distribution of kerogen

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