Jiajia Zhang

Dr. Jiajia Zhang


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 October 2019 in Geophysical Prospecting
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Journal Article
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JZJiajia Zhang
Jiajia Zhang
YYYingyao Yin
Yingyao Yin
GZGuangzhi Zhang
Guangzhi Zhang

12 May 2023 in Marine Geophysical Research
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Journal Article
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HPHaojie Pan
Haojie Pan
HLHongbing Li
Hongbing Li
JZJiajia Zhang
Jiajia Zhang
SCShengjuan Cai
Shengjuan Cai
ZGZhixian Gui
Zhixian Gui
MDMiao Du
Miao Du

1 August 2022 in Geophysics
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Journal Article
Closed access
LLLin Li
Lin Li
YGYanmin Guo
Yanmin Guo
GZGuangzhi Zhang
Guangzhi Zhang
Xinpeng PanXinpeng Pan
Xinpeng Pan
JZJiajia Zhang
Jiajia Zhang
YLYing Lin
Ying Lin
Seismic characterization of anisotropic in situ stress is of great importance in improving the success of planning drilling and hydraulic fracturing treatment. Shales generally exhibit orthorhombic elastic symmetry due to the presence of vertical fractures and horizontal fine layering. We propose a novel anisotropic extended elastic impedance (AEEI) inversion approach for in situ stress estimates in shale gas reservoirs with weakly orthorhombic symmetry. Considering an orthorhombic model formed by a system of aligned vertical fractures embedded in a vertical transverse isotropic (VTI) background rock, we first derive the in situ stress expression by combining poroelastic Hooke’s law and linear slip theory. Next, we deduce a linearized PP-wave reflection coefficient as a function of fluid bulk modulus, vertical effective stress-sensitive parameter, dry-rock P- and S-wave moduli, density, dry normal and tangential weaknesses of the VTI background, and dry normal and tangential weaknesses of vertical fractures. To estimate in situ stress from the observed seismic data, we derive the AEEI and Fourier coefficients (FCs) expression and establish a three-step AEEI inversion workflow involving (1) Bayesian seismic inversion for intercept impedance, gradient impedance, and curvature impedance estimates; (2) estimating model parameters using the FCs of AEEI; and (3) estimating in situ stress using the inverted model parameters. The synthetic examples demonstrate that in situ stress can be reliably estimated even with moderate noise. Test on a real data set implies that the proposed method can generate reasonable results of in situ stress that are helpful for optimizing the horizontal drilling and hydraulic fracture stimulations of shale gas reservoirs.

17 May 2021 in Science China Earth Sciences
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Journal Article
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HLHongbing Li
Hongbing Li
JZJiajia Zhang
Jiajia Zhang
HPHaojie Pan
Haojie Pan
QGQiang Gao
Qiang Gao

6 May 2024 in IEEE Transactions on Geoscience and Remote Sensing
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Journal Article
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JZJiajia Zhang
Jiajia Zhang
ZLZhuofan Liu
Zhuofan Liu
YZYicheng Zhou
Yicheng Zhou
Hanbing AiHanbing Ai
Hanbing Ai
HHHuimei Han
Huimei Han
Petrophysics estimates reservoir parameters are based on formation reflections, but generally neglect porosity heterogeneity. In the Berryman theory, the pore aspect ratio is considered in petrophysical modeling. As we cannot acquire the pore aspect ratio directly, a fixed value is set empirically without considering the heterogeneity of the reservoir. We propose pore aspect ratio correction through Hunger Games Search (HGS). HGS quickly develops the optimal solution space for pore aspect ratio by simulating the way social animals forage. The revised pore aspect ratio improves the accuracy of forward modeling. In the new rock physics modeling with revised pore aspect ratio, the correlation coefficient for P-wave velocity improved from 0.843 to 0.924, and for S-wave velocity from 0.784 to 0.857. We added the revised pore aspect ratio to the petrophysical inversion process. A bidirectional long-short-term memory network is established to realize the joint inversion of multiple reservoir parameters considering the heterogeneity of porosity. The proposed scheme was applied in a tight sandstone reservoir. The results show that the physical parameters and pore space structure can be effectively inverted.

1 June 2021 in Materials Research Express
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Open access
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YHYuHui He
YuHui He
SLShuang Lu
Shuang Lu
JTJinyuan Tang
Jinyuan Tang
JZJiajia Zhang
Jiajia Zhang
Due to the low-cost and high-strength of carburizing 9310 steel, it has become widely used in the manufacturing industry especially gears and shafts manufacturing. Hence, this paper investigates the hot deformation behavior and microstructure evolution of the 9310 steel under hot compression conditions. With the help of a combination of standard compression testing, optical microstructure and electron backscatter diffraction (EBSD) observation experiment, the dynamic recrystallization (DRX) and dynamic recovery (DRV) mechanisms of the 9310 steel under compressive stress were determined and the constitutive equation model was also identified. It was found that the peak stress level, steady flow stress, dislocation density and number of substructures of the alloy increases with the decreasing of deformation temperature and the increasing of strain rate. Conversely, the high angle grain boundary area becomes larger, the grain boundary forms a serrated shape and the DRX in the alloy occurs. This comprehensive characterization of stress and phase transformation could enable a precise control of the microstructures of 9310 steel, and hence its properties.