3D numerical simulation of heterogeneous in situ stress field in low-permeability reservoirs

Shang, Lin; Li, Xizhe; Luo, Peng

doi:10.1007/s12182-019-00360-w

Cited by 20 publications

(4 citation statements)

References 65 publications

(56 reference statements)

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“…Numerical Simulation of the Stress Field. Numerical simulation is an effective method for analyzing tectonic stress fields, and finite element simulation is a more commonly 2 Geofluids used method [19,22,23]. The finite element method is a numerical solution method to approximate the general continuum problem.…”

Section: Methodsmentioning

confidence: 99%

Genetic Mechanism of Lower-Order Faults in Shale Formations in Rift Basins

Yang

Liu

et al. 2023

Geofluids

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The distribution of lower-order faults affects the development of oil and gas and the distribution of remaining oil, which is also the key to the development of fault block reservoirs in eastern China. The lower-order faults are characterized by short extension, small fault displacement, and difficult identification by traditional seismic interpretation methods. Therefore, it is necessary to predict the development law of faults in combination with the paleostress field during the fault formation period to improve the accuracy of fault seismic interpretation. In this paper, on the basis of reservoir structural analysis and rock mechanics experiments, the geological and mechanical model of the Sanduo period is established to predict the simulation of the paleostress field during the development of lower-order faults. The development of lower-order faults in rift basins is mainly controlled by the minimum principal stress and stress difference, and the shear stress in the profile controls the tendency of faults. Controlled by the paleostress field, the occurrence of lower-order faults in the Weizhuang area, Gaoyou Sag, and Subei Basin is very complex, and the strike of the fault is distributed as a tension shear broom on the plane. The prediction results can provide a reference for the excavation of remaining oil and the development of oil and gas.

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Section: Methodsmentioning

confidence: 99%

Genetic Mechanism of Lower-Order Faults in Shale Formations in Rift Basins

Yang

Liu

et al. 2023

Geofluids

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“…Vertical stress pattern is critical for understanding the vertical propagation of hydraulic fractures in layered media. Therefore, with accurate assessments of vertical stress pattern, the scale of hydraulic fracturing and the development of well network can be determined rationally (Feng et al 2019).…”

Section: Vertical Stress Patternmentioning

confidence: 99%

Predicting the present-day in situ stress distribution within the Yanchang Formation Chang 7 shale oil reservoir of Ordos Basin, central China

Niu

Feng

et al. 2020

Pet. Sci.

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The Yanchang Formation Chang 7 oil-bearing layer of the Ordos Basin is important in China for producing shale oil. The present-day in situ stress state is of practical implications for the exploration and development of shale oil; however, few studies are focused on stress distributions within the Chang 7 reservoir. In this study, the present-day in situ stress distribution within the Chang 7 reservoir was predicted using the combined spring model based on well logs and measured stress data. The results indicate that stress magnitudes increase with burial depth within the Chang 7 reservoir. Overall, the horizontal maximum principal stress (SHmax), horizontal minimum principal stress (Shmin) and vertical stress (Sv) follow the relationship of Sv ≥ SHmax > Shmin, indicating a dominant normal faulting stress regime within the Chang 7 reservoir of Ordos Basin. Laterally, high stress values are mainly distributed in the northwestern parts of the studied region, while low stress values are found in the southeastern parts. Factors influencing stress distributions are also analyzed. Stress magnitudes within the Chang 7 reservoir show a positive linear relationship with burial depth. A larger value of Young’s modulus results in higher stress magnitudes, and the differential horizontal stress becomes higher when the rock Young’s modulus grows larger.

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“…In situ stress analysis can intuitively reflect the variation law of in situ stress field in vertical and plane and provide basic information for drilling engineering and oil and gas reservoir development (Daniel and Christoph, 2016;Farshid et al, 2020;Zhang et al, 2021;Yang et al, 2022). It is an important reference for the selection of perforating and fracturing scale and parameters and prediction of sand production in production layers (Zou and Kaiser, 1990;Feng et al, 2019;Ju et al, 2020). In situ stress is the fundamental force that causes deformation and failure of mining and other underground engineering; in addition, its magnitude and direction have a great influence on the stability of the surrounding rock.…”

Section: Introductionmentioning

confidence: 99%

Prediction method and distribution characteristics of in situ stress based on borehole deformation—A case study of coal measure stratum in Shizhuang block, Qinshui Basin

et al. 2022

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A geometric equation of borehole deformation under stress was deduced based on the basic theory of elasticity. Subsequently, we established the quantitative relationship between the in situ stress and geometrical parameters of borehole deformation. Furthermore, we proposed an in situ stress prediction model based on borehole deformation. Additionally, numerical simulations of borehole morphology in different lithologies under in situ stress were conducted to analyze the deformation effect. Logging parameters that are sensitive to the shear wave time difference, such as longitudinal wave time difference, density, and natural gamma radiation, were selected for training using an artificial neural network (ANN) to predict the shear wave time difference. The results demonstrated that 1) combining the theoretical derivation and numerical simulation, the borehole geometry under stress was quasi-elliptic, and 2) compared with the existing shear wave time difference curve, the predicted geometry by the ANN was consistent with the actual geometry. Consequently, compared with the tested data from acoustic emission, the overall error of the in situ stress predicted using the new method was less than 9.2%. Moreover, the accuracy of the coal seam was the highest, wherein the average errors of the maximum and minimum horizontal principal stresses were 2.01 and 2.56%, respectively, which confirms the feasibility of the proposed method.

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3D numerical simulation of heterogeneous in situ stress field in low-permeability reservoirs

Cited by 20 publications

References 65 publications

Genetic Mechanism of Lower-Order Faults in Shale Formations in Rift Basins

Genetic Mechanism of Lower-Order Faults in Shale Formations in Rift Basins

Predicting the present-day in situ stress distribution within the Yanchang Formation Chang 7 shale oil reservoir of Ordos Basin, central China

Prediction method and distribution characteristics of in situ stress based on borehole deformation—A case study of coal measure stratum in Shizhuang block, Qinshui Basin

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