Numerical Evaluation and Optimization of Multiple Hydraulically Fractured Parameters Using a Flow-Stress-Damage Coupled Approach

Wang, Yu; Li, Xiao; Hu, Ruilin; Ma, Chaofeng; Zhao, Ziyan; Zhang, Bo

doi:10.3390/en9050325

Cited by 13 publications

(13 citation statements)

References 39 publications

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“…Essentially, it is important to note that the selected model should not be aliased. In addition, the model has the maximum "Predicted R-Squared" and "Adjusted R-Squared" is also important criteria to be considered [39]. From the results of Table 5, the fully quadratic model is finally selected to build the critical hydraulic gradient (CHG) response surface in the subsequent optimization process.…”

Section: Rsm Model Analysismentioning

confidence: 99%

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Optimization of Multiple Seepage Piping Parameters to Maximize the Critical Hydraulic Gradient in Bimsoils

Wang

et al. 2017

Water

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Seepage failure in the form of piping can strongly influence the stability of block-in-matrix-soils (bimsoils), as well as weaken and affect the performance of bimsoil structures. The multiple-factor evaluation and optimization play a crucial role in controlling the seepage failure in bimsoil. The aim of this study is to improve the ability to control the piping seepage failure in bimsoil. In this work, the response surface method (RSM) was employed to evaluate and optimize the multiple piping parameters to maximize the critical hydraulic gradient (CHG), in combination with experimental modeling based on a self-developed servo-controlled flow-erosion-stress coupled testing system. All of the studied specimens with rock block percentage (RBP) of 30%, 50%, and 70% were produced as a cylindrical shape (50 mm diameter and 100 mm height) by compaction tests. Four uncertain parameters, such as RBP, soil matrix density, confining pressure, and block morphology were used to fit an optimal response of the CHG. The sensitivity analysis reveals the influential order of the studied factors to CHG. It is found that RBP is the most sensitive factor, the CHG decreases with the increase of RBP, and CHG increases with the increase of confining pressure, soil matrix density, and block angularity.

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Section: Rsm Model Analysismentioning

confidence: 99%

“…Table 5 lists the response surface model for the critical hydraulic gradient. If the model has the highest polynomial, and the other additional terms are significant, and the model is not aliased [12,39], we choose it as the appropriate model. We would not select the cubic model, if it is aliased.…”

Section: Rsm Model Analysismentioning

confidence: 99%

Optimization of Multiple Seepage Piping Parameters to Maximize the Critical Hydraulic Gradient in Bimsoils

Wang

et al. 2017

Water

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“…They optimized the combinations of these parameters under different gas prices. Wang et al [22,23] also used RSM to investigate the sensitivities of seven parameters including structural parameters, geomechanical parameters, in-situ field stress parameter (stress difference) and operational parameter (injection rate) on maximizing stimulated reservoir volume (SRV). Their studies proved the feasibility of RSM in shale gas production and hydraulic fracturing modeling.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Parameter Optimization Model for the Evaluation of Shale Gas Recovery Enhancement

et al. 2018

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Although a multi-stage hydraulically fractured horizontal well in a shale reservoir initially produces gas at a high production rate, this production rate declines rapidly within a short period and the cumulative gas production is only a small fraction (20-30%) of the estimated gas in place. In order to maximize the gas recovery rate (GRR), this study proposes a multi-parameter optimization model for a typical multi-stage hydraulically fractured shale gas horizontal well. This is achieved by combining the response surface methodology (RSM) for the optimization of objective function with a fully coupled hydro-mechanical FEC-DPM for forward computation. The objective function is constructed with seven uncertain parameters ranging from matrix to hydraulic fracture. These parameters are optimized to achieve the GRR maximization in short-term and long-term gas productions, respectively. The key influential factors among these parameters are identified. It is established that the gas recovery rate can be enhanced by 10% in the short-term production and by 60% in the long-term production if the optimized parameters are used. Therefore, combining hydraulic fracturing with an auxiliary method to enhance the gas diffusion in matrix may be an effective alternative method for the economic development of shale gas.

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“…Compared with similar model tests and field tests, the numerical simulation test has advantages such as visual result, low cost, and a short period of testing, contributing to its increasingly wide application in scientific studies [36,37]. A numerical simulation on the propagation rules of a hydrofracture meeting a fault plane was conducted by using the coupling system of flow and solid in the rock failure process analysis (RFPA2D-Flow).…”

Section: Numerical Simulationmentioning

confidence: 99%

Study on the Propagation Laws of Hydrofractures Meeting a Faulted Structure in the Coal Seam

Wang

Xia

et al. 2017

Energies

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Abstract:Hydraulic fracturing is an important technique for increasing coal seam permeability and productivity of CBM (coalbed methane). As a common type of faulted structure in the coal seam, the fault has a direct impact on the direction and scope of hydrofracture propagation, weakening fracturing effects. To study the propagation laws of a hydrofracture meeting a fault in the coal seam, based on a two-dimensional model of a hydrofracture meeting a fault, the combined elastic mechanics and fracture mechanics, the propagation mode, critical internal water pressure, and influencing factors were analyzed. A numerical simulation on the propagation laws of hydrofracture meeting a fault was conducted by using the coupling system of flow and solid in the rock failure process analysis (RFPA2D-Flow). The results show that the horizontal crustal stress difference, the intersection angle between hydrofracture and fault plane, and the physical mechanics characteristics of coal-rock bed are the main factors influencing fracture propagation. With a decrease of horizontal crustal stress differences, intersection angle and an increase of roof elasticity modulus, it is easier for the footwall hydrofracture to enter the hanging wall along the bedding plane, forming an effective fracture. When the stress difference is large and the dip angle of fault plane surpasses 45 • , the hydrofracture is easy to propagate towards the coal roof and floor by going through the fault plane. At this time, the coal seams of the footwall and the hanging wall should be fractured respectively to ensure fracturing effects, and the support of the roof and floor should be strengthened. The field experiment, theoretical analysis and numerical simulation were consistent in their results, which will contribute to the optimization of hydraulic fracturing and the prediction of hydrofracture in the coal seams containing faults.

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Numerical Evaluation and Optimization of Multiple Hydraulically Fractured Parameters Using a Flow-Stress-Damage Coupled Approach

Cited by 13 publications

References 39 publications

Optimization of Multiple Seepage Piping Parameters to Maximize the Critical Hydraulic Gradient in Bimsoils

Optimization of Multiple Seepage Piping Parameters to Maximize the Critical Hydraulic Gradient in Bimsoils

A Multi-Parameter Optimization Model for the Evaluation of Shale Gas Recovery Enhancement

Study on the Propagation Laws of Hydrofractures Meeting a Faulted Structure in the Coal Seam

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