A New Model between Dynamic and Static Elastic Parameters of Shale Based on Experimental Studies

Bian, Huiyuan; Wang, Fei; Zhang, Chengen; Gao, Xuhua; Zhang, Yonghao; Duan, Chaowei; Dong, Li

doi:10.1007/s12517-019-4777-2

Cited by 6 publications

(3 citation statements)

References 21 publications

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“…Reservoir elastic properties modelling is one of the main methods to describe reservoir heterogeneity, which plays an important role in guiding the exploration and development of oil and gas reservoirs (Han et al., 2019; Huiyuan et al., 2019; Okoye et al., 1996). However, with the deepening of the research on oil and gas exploration and development, the scale of the research object is significantly reduced, whereas the complexity is significantly increased (Pang et al., 2015; Zou et al., 2015).…”

Section: Introductionmentioning

confidence: 99%

High‐resolution reservoir stochastic modelling based on optimized estimation of vertical autocorrelation

Zeng

Zhang

et al. 2023

Geophysical Prospecting

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The high‐resolution model of elastic properties is of great significance for fine reservoir characterization and precise oil and gas exploration. However, it is difficult to obtain a satisfactory high‐resolution reservoir model with the existing technologies. In this paper, a novel high‐resolution stochastic modelling strategy based on the fast Fourier transform moving average is proposed. In this strategy, several structural parameters are optimized to improve the rationality of the stochastic model, including vertical autocorrelation length, horizontal autocorrelation length, roughness factor and angle parameter. Among them, the optimization of the vertical autocorrelation length is crucial for vertical high‐resolution modelling. To this end, a nonlinear optimal inversion strategy of the vertical autocorrelation length is designed based on the idea of minimizing the spectral Jensen–Shannon divergence between the modelling result and the logging curve. However, nonlinear inversion is usually unstable, so it is necessary to introduce a regularization operator in the inversion to improve the stability. Considering that the heterogeneity of the subsurface medium is consistent or gradual within the stratums, but discontinuous and abrupt at the interfaces, edge‐preserving regularization is applied to obtain a blocky estimation of the vertical autocorrelation length. The optimal estimation experiment of the vertical autocorrelation length based on the measured logging data shows that the edge‐preserving regularization significantly improves the stability of the nonlinear optimal inversion, and blocky estimation results with sharp edges are obtained. Then, the optimized vertical autocorrelation length and the other structural parameters are applied to fast Fourier transform moving average modelling on an actual reservoir profile. The result shows that the resolution of the model is significantly improved, which realizes the fine reservoir characterization. In addition, the optimized structural parameters effectively constrain the small‐scale heterogeneity and ensure the rationality of the stochastic model.

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Section: Introductionmentioning

confidence: 99%

High‐resolution reservoir stochastic modelling based on optimized estimation of vertical autocorrelation

Zeng

Zhang

et al. 2023

Geophysical Prospecting

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“…Currently, the studies published for evaluating brittleness are mainly based on rock mineral composition, elastic parameters, and stress-strain tests. For the mineral composition method, Jarvie et al (2007), Rickman et al (2008), and Huiyuan et al (2019) believed that the higher the content of brittle minerals in rocks, the more brittle the rocks would be [1][2][3][4]. For the rock mechanics parameter method, Rickman et al (2008) and Goodway et al (2010) believed that the rock brittleness index was closely related to Young's modulus and Poisson's ratio, and the brittleness would become greater when the Young's modulus gets larger and the Poisson's ratio gets smaller [3,5]; Liu and Sun (2015) and Bai (2016) considered that different minerals have different brittleness, and they constructed a new elastic parameter, i.e., brittleness factor, which could better explain the brittleness change in reservoir rocks [6,7].…”

Section: Introductionmentioning

confidence: 99%

“…For the mineral composition method, Jarvie et al (2007), Rickman et al (2008), and Huiyuan et al (2019) believed that the higher the content of brittle minerals in rocks, the more brittle the rocks would be [1][2][3][4]. For the rock mechanics parameter method, Rickman et al (2008) and Goodway et al (2010) believed that the rock brittleness index was closely related to Young's modulus and Poisson's ratio, and the brittleness would become greater when the Young's modulus gets larger and the Poisson's ratio gets smaller [3,5]; Liu and Sun (2015) and Bai (2016) considered that different minerals have different brittleness, and they constructed a new elastic parameter, i.e., brittleness factor, which could better explain the brittleness change in reservoir rocks [6,7]. For the stressstrain method, the stress-strain curve of the rock which reflects the whole process of rock deformation, cracking, and ultimate loss of bearing capacity under external load is the most intuitive and effective method for qualitative evaluation of rock brittleness [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Study on a New Rock Fracability Evaluation Model of Shale Gas Reservoir

Wang

Zhang

et al. 2020

Geofluids

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Shale gas is an important unconventional energy resource that needs large-scale fracturing to form industrial deliverability. The evaluation of reservoir fracability plays a key role in the optimization of the sweet spot, the design of multistage fracturing, and the prediction of economic benefit. Based on volumetric fracturing, the study proceeded from the fracture complexity of the fractured core, and the bursting pressure experiment technology using the constant strain rate method was established. After the core has fractured, the fracture morphology was extracted and the fracture parameters including fracture area ratio and fracture declination dispersion were calculated to construct the fracture complexity of the pressed core. Combined with the core strength, the fracability index of the core was determined to evaluate the reservoir fracability. This method can represent not only the fracturing effect but also the fracturing difficulty. Compared with the monitoring data of hydrofracture-induced microseism of the sample well, the core fracturing index was found to be in good agreement with the actual fracturing effect. This method is more reasonable than the traditional brittleness index method and rock mechanics parameter method.

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Fracability Evaluation Based on the Three-Dimensional Geological Numerical Simulation of In Situ Stress: Case Study of the Longmaxi Formation in the Weirong Shale Gas Field, Southwestern China

et al. 2022

Math Geosci

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A New Model between Dynamic and Static Elastic Parameters of Shale Based on Experimental Studies

Cited by 6 publications

References 21 publications

High‐resolution reservoir stochastic modelling based on optimized estimation of vertical autocorrelation

High‐resolution reservoir stochastic modelling based on optimized estimation of vertical autocorrelation

Study on a New Rock Fracability Evaluation Model of Shale Gas Reservoir

Fracability Evaluation Based on the Three-Dimensional Geological Numerical Simulation of In Situ Stress: Case Study of the Longmaxi Formation in the Weirong Shale Gas Field, Southwestern China

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