Liangliang Jiang

Commercial Aircraft Corporation of China (China)

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Zhangxin Chen

University of Calgary

S.M. Farouq Ali

Adesh University

Lele Feng

China University of Mining and Technology

Yuejiao Chen

Central South University

Shanshan Chen

Research Institute of Petroleum Exploration and Development

Jifang Wan

Digital China Health (China)

Yanpeng Chen

Universiti Sains Malaysia

Kuo Tian

Yantai University

Bo Wang

Chinese Academy of Sciences

Zixiang Wei

University of Calgary

Cooperative Institutions

Chinese Academy of Sciences

Zhejiang University

Chongqing University

China University of Petroleum, Beijing

Central South University

University of Chinese Academy of Sciences

Research Institute of Petroleum Exploration and Development

University of Calgary

Xi'an Jiaotong University

Tsinghua University

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Semi-Analytical Modeling of Fractured Horizontal Wells in Heterogeneous Formations Considering the Interference between Hydraulic Fractures

Sustainability in Environment (2023)

Fangdong Zhou Yanwen Yu Pinlu Cao Liangliang Jiang Shanshan Yao

In this study, a semi-analytical model is developed for the pressure and rate transient analysis of multi-stage fractured horizontal wells. This model simulates the fluid flow towards a fractured horizontal well centered in an unconventional formation with considering the interferences between hydraulic fractures under various heterogeneity conditions. In this proposed model, the formation is divided into sub-systems, and each sub-system is further composed of linear flow regions. Boundaries of the linear flow regions are being updated in real-time response to the interferences between hydraulic fractures. Applicability of the proposed model in heterogeneous reservoirs is demonstrated by the comparison with the five-region model published in literature. The proposed model is applicable to the heterogeneity conditions including a fractured horizontal well having heterogeneous completions and/or the formation being heterogeneous in reservoir properties. Furthermore, the proposed model is utilized to analyze field data from fractured horizontal wells in heterogeneous conditions.

Transient (computer programming)

10.22158/se.v8n4p92

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Citations (0)

The role of hydrogen in the energy transition of the oil and gas industry

Energy Reviews (2024)

Kai Zhang He Liu Liangliang Jiang Shu Jiang Ruyang Yu

Hydrogen, primarily produced from steam methane reforming, plays a crucial role in oil refining, and provides a solution for the oil and gas industry's long-term energy transition by reducing CO2 emissions. This paper examines hydrogen's role in this transition. Firstly, experiences from oil and gas exploration, including in-situ gasification, can be leveraged for hydrogen production from subsurface natural hydrogen reservoirs. The produced hydrogen can serve as fuel for generating steam and heat for thermal oil recovery. Secondly, hydrogen can be blended into gas for pipeline transportation and used as an alternative fuel for oil and gas hauling trucks. Additionally, hydrogen can be stored underground in depleted gas fields. Lastly, oilfield water can be utilized for hydrogen production using geothermal energy from subsurface oil and gas fields. Scaling up hydrogen production faces challenges, such as shared use of oil and gas infrastructures, increased carbon tax for promoting blue hydrogen, and the introduction of financial incentives for hydrogen production and consumption, hydrogen leakage prevention and detection.

Hydrogen technologies

10.1016/j.enrev.2024.100090

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Citations (11)

Dilution or heating induced thickening in a sodium dodecyl sulfate/p-toluidine hydrochloride aqueous solution

RSC Advances (2016)

Jingyan Zhang Liangliang Jiang Zhiyuan Zhu Shiyong Liu

Dilution or heating induced desorption of PTH⁺ increases the effective headgroup area and reduces the tail volume, thereby driving a spontaneous transition from vesicles to WLMs.

Dilution

Sodium dodecyl sulfate

Toluidine

Hydrochloride

10.1039/c6ra04593f

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Citations (2)

Experimental investigation on the crystallization mechanism and mitigation strategies for gas injection and brine discharge pipes in salt caverns

Chemical Engineering Journal (2024)

Wei Liu Qihang Li Liangliang Jiang Yifan Wang Jun Xu

Brine

Salt lake

10.1016/j.cej.2024.154277

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Citations (5)

Integrated electric-gas system carbon abatement with a novel dispatch model: From the perspective of natural gas shippers

Journal of Cleaner Production (2024)

Jianfeng Jiao Feng Jin Hongtao Diao Weihe Huang Jing Gong

10.1016/j.jclepro.2024.142064

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Citations (2)

Improved knockdown factors for composite cylindrical shells with delamination and geometric imperfections

Composites Part B Engineering (2018)

Bo Wang Xiangtao Ma Peng Hao Yu Sun Kuo Tian

Delamination

Dimple

10.1016/j.compositesb.2018.11.049

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Citations (36)

Varying-scale shale gas flow: Discrete fracture networks (DFN) based numerical simulation

Particulate Science And Technology (2015)

Junjian Li Hanqiao Jiang Liangliang Jiang Lidong Mi Ting Xu

The development of unconventional gas reservoirs represents totally distinctive characteristics as compared with its conventional counterparts. The prevailing commercial strategy of stimulating fractures to connect the matrix to wellbores results in an even more complicated shale gas flow behavior, in which matrix flow is fairly coupled with fracture flow. Numerous works have been contributed to unveil the underground shale gas production mechanisms. And some impressive progresses have been made in describing the complex subterranean shale gas flow, such as the introduction of discrete fracture network (DFN) from National Energy Technology Laboratory (NETL). However, none of them captures the varying-scale nature of the in-place gas flow in shale sediments. In this work, we try to fill this gap. Following the concept of DFN, we set up mathematical models for shale gas flow in matrix and fracture networks, and also for their mass transfer in between without neglecting its varying-scale nature. In addition, we also investigate comprehensively the impact of various effects and phenomena occurred in pore spaces during production course, such as adsorption and desorption on rock surfaces, gas slippage and Knudsen diffusion, and diffusion in bulk kerogen, on the overall shale gas production using our new model for a specific shale gas reservoir case study.

Knudsen diffusion

Geomechanics

Slippage

Tight gas

10.1080/02726351.2015.1099065

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Citations (4)

Recent progress in bismuth-based materials for electrochemical CO2 reduction to formate/formic acid

Nano Materials Science (2024)

Xinrui Linghu Jun Chen Liangliang Jiang Tianshuai Wang

Bismuth

10.1016/j.nanoms.2024.11.007

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A Physics-Informed Spatial-Temporal Neural Network for Reservoir Simulation and Uncertainty Quantification

SPE Journal (2023)

Jianfei Bi Jing Li Keliu Wu Zhangxin Chen Shengnan Chen

Summary Surrogate models play a vital role in reducing computational complexity and time burden for reservoir simulations. However, traditional surrogate models suffer from limitations in autonomous temporal information learning and restrictions in generalization potential, which is due to a lack of integration with physical knowledge. In response to these challenges, a physics-informed spatial-temporal neural network (PI-STNN) is proposed in this work, which incorporates flow theory into the loss function and uniquely integrates a deep convolutional encoder-decoder (DCED) with a convolutional long short-term memory (ConvLSTM) network. To demonstrate the robustness and generalization capabilities of the PI-STNN model, its performance was compared against both a purely data-driven model with the same neural network architecture and the renowned Fourier neural operator (FNO) in a comprehensive analysis. Besides, by adopting a transfer learning strategy, the trained PI-STNN model was adapted to the fractured flow fields to investigate the impact of natural fractures on its prediction accuracy. The results indicate that the PI-STNN not only excels in comparison with the purely data-driven model but also demonstrates a competitive edge over the FNO in reservoir simulation. Especially in strongly heterogeneous flow fields with fractures, the PI-STNN can still maintain high prediction accuracy. Building on this prediction accuracy, the PI-STNN model further offers a distinct advantage in efficiently performing uncertainty quantification, enabling rapid and comprehensive analysis of investment decisions in oil and gas development.

Robustness

Uncertainty Quantification

Reservoir computing

10.2118/218386-pa

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Citations (5)

Shared mooring systems for offshore floating wind farms: A review

Energy Reviews (2023)

Hang Xu Shengjie Rui Kanmin Shen Liangliang Jiang Haojie Zhang

Offshore wind energy, as a form of renewable power, has seen rapid development in recent years. While fixed-bottom wind turbines are typically used in water depths less than 50 m, the utilization of floating offshore wind turbines (FOWTs) becomes essential for deeper waters. Secure and effective mooring systems play a crucial role in making FOWTs commercially viable. The concept of a shared mooring system offers an innovative solution for deploying floating wind farms in clusters or arrays, which can reduce overall construction costs for large-scale floating wind farms. It is imperative to optimize the shared mooring arrangement for maximum cost-effectiveness and wind farm stability. However, implementing a shared mooring system introduces complexity to the dynamics of FOWTs, requiring the development of advanced simulation tools to meet modelling requirements. Under the shared mooring arrangement, mooring lines and anchors face more significant challenges, such as chain-seabed interactions, soil cyclic weakening, and anchor out-of-plane loading, which underscore the need for innovative, reliable, and efficient shared anchor designs. This article offers an overview of the current research status on shared mooring systems for floating wind farms, which might serve as a valuable reference for the construction of large-scale floating wind farms worldwide.

Mooring

10.1016/j.enrev.2023.100063

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Citations (8)