当前位置: 首页 > 师资队伍 > 教师风采 > 资源科学与工程系 > 正文

孙乾浩

【 作者: | 发布日期:2025-04-11 】

孙乾浩,男,1995年4月生,山西长治人,博士,现任山东石油化工学院石油工程学院讲师,担任智能地球探测专业、资源勘查工程专业的《Python语言程序设计》、《地震勘探原理课程设计》、《专业英语》等课程的教学工作。邮箱:sunqianhao@sdipct.edu.cn.

学习经历:2013.9-2017.6,河南理工大学,资源勘查工程,学士;2017.9-2020.6,中国石油大学(华东),地质工程,硕士;2020.9-2024.6,中国石油大学(华东),地质资源与地质工程,博士。研究方向:长期从事基于人工智能的地震综合解释、复杂油气地震岩石物理理论、叠前AVO反演理论及方法等领域研究工作。

近5年参与的相关研究项目:

[1] 深水深层油气储层地球物理智能识别与预测, 青岛海洋科学与技术试点国家实验室“十四五”重大项目, 项目编号: LSKJ202203400, 2021-2024, 研究骨干.

[2] 古珠江三角洲沉积体边界识别及优质储层预测技术,“十三五”国家科技重大专项子课题,项目编号:2016ZX05024-004-005,2016-2020,研究骨干。

[3] 含一组垂直裂缝页岩正交各向异性参数宽频宽方位AVO反演方法研究, 国家自然科学基金面上项目, 项目编号: 41974119, 2020-2023, 研究骨干.

[4] 近海湖相烃源岩半定量/定量预测技术, 中海石油(中国)有限公司北京研究中心项目, 项目编号: CCL2022RCPSR0522RSN , 2022-2024, 研究骨干.

[5] 西湖凹陷凹中背斜有效储层地质-地球物理预测技术, 中海石油(中国)有限公司上海分公司, 项目编号: CCL2022SHPS004RS, 2022-2024, 研究骨干.

论文发表情况:

[1] Sun Qianhao, Zong Zhaoyun. AVO inversion for low-frequency component of the model parameters based on dual-channel convolutional network. IEEE Transactions on Geoscience and Remote Sensing. 2023, 61: 1-17.

[2] Sun Qianhao, Zong Zhaoyun. Probabilistic seismic inversion based on physics-guided deep mixture density network. Petroleum Science, 2024, 21: 1611-1631.

[3] Sun Qianhao, Zong Zhaoyun. Building initial model for seismic inversion based on semi-supervised learning. Geophysical Prospecting, 2024, 72: 1800-1815.

[4] Sun Qianhao, Zong Zhaoyun. Amplitude variation with incident angle inversion for fluid factor in the depth domain. Annals of Geophysics, 2019, 62(1): AC7.

[5] Zong Zhaoyun, Sun Qianhao. Density stability estimation method from pre-stack seismic data. Journal of Petroleum Science and Engineering, 2022, 208: 109373.

[6] Zong Zhaoyun, Sun Qianhao, Li Chunpeng, Yin Xingyao. Young’s modulus variation with azimuth for fracture-orientation estimation. Interpretation, 2018, 6(4):T809-T818.

[7] Wang Yurong, Zong Zhaoyun, Sun Qianhao. Modeling the effect of multiscale heterogeneities on wave attenuation and velocity dispersion. IEEE Transactions on Geoscience and Remote Sensing. 2023, 61: 1-19.

[8] Zuo Yinghao, Zong Zhaoyun, Li Kun, Sun Qianhao, Yang Yaming. Direct inversion for shale brittleness index using a delayed rejection adaptive Metropolis-Markov chain Monte Carlo method. Geophysics, 2023, 88(5): M225-M237.

[9] 宗兆云, 孙乾浩, 陈维涛, 罗明, 贾培蒙. 惠西南地区储层含油气性叠前地震固液解耦识别. 中国海上油气, 2020, 32 (04).

[10] Sun Qianhao, Zong Zhaoyun, Yin Xingyao, Meng Xianjun. Amplitude variation with incident Angle Inversion for Fluid Factor in the depth domain. SEG Technical Program Expanded Abstracts 2018, 605-609. (SEG国际会议, 洛杉矶)

[11] Sun Qianhao, Zong Zhaoyun, Yin Xingyao. The Reliable Estimation of Density from Pre-stack Seismic Data Based on the Independent equation. SEG Technical Program Expanded Abstracts 2019, 3503-3507.

[12] Sun Qianhao, Zong Zhaoyun. Building Low-frequency model for reservoir characterization based on deep learning. EAGE Expanded Abstracts, 2023.

[13] Zong Zhaoyun, Sun Qianhao, Li Kun, Li Chunpeng, Yin Xingyao. Young’s modulus variation with azimuth for fracture orientation estimation. SEG Technical Program Expanded Abstracts 2017, 2331-2335.

[14] Zong Zhaoyun, Sun Qianhao, Li Kun, Yin Xingyao, Zhu Ming, Du Jiayuan, Chen Weitao, Wei wei. Broadband seismic AVO inversion. SEG Technical Program Expanded Abstracts 2017, 763-767.

[15] 孙乾浩,宗兆云. 基于深度域空间扩散矩阵地震反演方法. 第六届青年地学论坛会议. 2019, 青海西宁.

[16] 孙乾浩,宗兆云. 基于机器学习的概率化地震反演方法. 第三节人工智能地震学术研讨会, 2023, 安徽合肥.