Article
Energy & Fuels
Jinyuan Wang, Yi-Peng Xu, Raed Qahiti, M. Jafaryar, Mashhour A. Alazwari, Nidal H. Abu-Hamdeh, Alibek Issakhov, Mahmoud M. Selim
Summary: The article numerically investigated and compared forced convection in three different configurations of a 3D heat sink. By utilizing different porous material models and nanofluid coolant, the study evaluated the effects of material composition on the cooling performance of the heat sink.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Energy & Fuels
Ming Qu, Tuo Liang, Jirui Hou, Zhichang Liu, Erlong Yang, Xingquan Liu
Summary: Spherical nanoparticles have been widely studied for enhanced oil recovery, but there is a lack of research on nanosheets. In this study, amphiphilic molybdenum disulfide nanosheets were synthesized and shown to have significant effects on solid surface wettability and emulsion stability at ultra-low concentrations.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Energy & Fuels
Xuechen Li, Xinfang Ma, Fengchao Xiao, Cong Xiao, Fei Wang, Shicheng Zhang
Summary: This study introduces a novel method using Bi-GRU and SSA to improve the accuracy of oil rate forecasting, and compares the performance with traditional methods and others, showing that the proposed method outperforms others in terms of accuracy and robustness.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Energy & Fuels
Yang Wang, Hongfei Cheng, Qinhong Hu, Luofu Liu, Langbo Jia, Shasha Gao, Ye Wang
Summary: Understanding the heterogeneity of nanoscale pore structures is crucial for evaluating hydrocarbon flow in porous reservoirs, and multifractal analysis is an effective method to assess pore connectivity and heterogeneity. The comparison between shale and isolated organic matter reveals differences in pore heterogeneity characteristics, with mineral-associated micropores enhancing heterogeneity and mineral-associated meso-macropores reducing heterogeneity. Total organic carbon content and pore volume also impact pore heterogeneity, with more mature shale exhibiting stronger micropore but weaker meso-macropore heterogeneity.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Energy & Fuels
Ma Yongsheng, Cai Xunyu, Yun Lu, Li Zongjie, Li Huili, Deng Shang, Zhao Peirong
Summary: This review provides a systematic summary of the exploration and development process of the Shunbei ultra-deep carbonate oil and gas field in the Tarim Basin, and highlights the progress of exploration and development technologies during China's 13th Five-Year Plan. It offers important guidance for the exploration and development of ultra-deep marine carbonate reservoirs in China and abroad.
PETROLEUM EXPLORATION AND DEVELOPMENT
(2022)
Review
Energy & Fuels
Tawfik A. Saleh
Summary: Water-based mud (WBM) is an environmentally friendly drilling fluid but can cause shale swelling; additives are used to inhibit shale swelling and improve rheological and filtration properties; nanomaterials have emerged as promising alternatives for enhancing drilling fluid properties under extreme drilling conditions.
UPSTREAM OIL AND GAS TECHNOLOGY
(2022)
Review
Energy & Fuels
Yi Xu, Zengmin Lun, Zhejun Pan, Haitao Wang, Xia Zhou, Chunpeng Zhao, Dengfeng Zhang
Summary: This article reviews the occurrence state of shale oil and analyzes the factors influencing its reservoir, emphasizing the importance of accurately estimating reserves and optimizing production.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Energy & Fuels
Kai Zhang, Zhongzheng Wang, Guodong Chen, Liming Zhang, Yongfei Yang, Chuanjin Yao, Jian Wang, Jun Yao
Summary: The paper introduces a novel production optimization method that models the life-cycle production optimization problem as a finite-horizon Markov decision process. By training deep reinforcement learning agents, it achieves maximizing net present value and realtime adjustment of well control schemes.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Energy & Fuels
Shaowei Pan, Zechen Zheng, Zhi Guo, Haining Luo
Summary: The XGBoost algorithm is used to construct a porosity prediction model that is optimized through grid search and genetic algorithm, significantly improving prediction accuracy and generalization performance. The model outperforms other methods in terms of RMSE, MAE, and MAPE on the test set, providing useful technical references for porosity prediction models in oil fields.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Energy & Fuels
Muhammad M. Almajid, Moataz O. Abu-Al-Saud
Summary: The paper explores the use of Physics Informed Neural Networks (PINN) to model the Buckley-Leverett problem, showing the importance of coupling between observed data and physics-informed neural networks in different parameter spaces. The results demonstrate that PINNs can capture overall trends without observed data, but greatly improve resolution and accuracy with observed data, and perform better than Artificial Neural Networks (ANN) when early- and late-time behavior data are included.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Energy & Fuels
Amin Garmroudi, Mahdi Kheirollahi, Sayed Amirhosein Mousavi, Moslem Fattahi, Elaheh Hamed Mahvelati
Summary: With the increase in depleted reservoirs and global energy demand, new methods are necessary for extracting more hydrocarbons. Surfactant injection has been proven to be a promising solution for tertiary oil recovery. This study explores the use of natural surfactants, specifically cedr extraction derived from Zizyphus Spina Christi leaves, in combination with graphene oxide (GO) nanosheet and GO/TiO2 nanocomposite nanoparticles for enhancing interfacial tension reduction and improving oil recovery efficiency.
Article
Energy & Fuels
Ana M. Sousa, Maria J. Pereira, Henrique A. Matos
Summary: In the petroleum industry, oil and water emulsions are common, and it is crucial to study both the emulsification and demulsification processes to find effective solutions. While research in this area has been extensive, there is still a need for a systematic review to understand the latest developments and pros and cons of emulsifiers and demulsification techniques.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Review
Energy & Fuels
Sidharth Gautam, Chandan Guria, Vinay K. Rajak
Summary: This study presents a comprehensive literature review on the performance of high-pressure and high-temperature drilling fluids, focusing on the structure-property relationships of the additives. The advantages and disadvantages of different categories of drilling fluids are discussed, and data for traditional and high-performance drilling fluids are collected and analyzed. The review highlights the future position and strategies for researchers.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Energy & Fuels
Bao Jia, Zeliang Chen, Chenggang Xian
Summary: Research indicates that comprehensive evaluation of CO2 storage potential and injectivity in the Bakken Formation through various methods is essential. Adsorption is a key factor determining CO2 injection rate, outweighing molecular diffusion.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Energy & Fuels
Yong Li, Jian-Qi Chen, Jiang-Hao Yang, Ji-Shan Liu, Wang-Shu Tong
Summary: This paper proposes a method for determining shale macroscale modulus by measuring and estimating at multiple scales from the nano-to macro-scales. It can be used to predict shale mechanical parameters.
Article
Energy & Fuels
Huiying Zhong, Yuanyuan He, Erlong Yang, Yongbin Bi, Tingbao Yang
Summary: Viscoelastic polymer flooding is widely used as an enhanced oil recovery method in oilfield development. This study focused on investigating the effects of polymer elasticity on displacement characteristics in Class II reservoirs, particularly in heterogeneous reservoirs. The research found that different oil layers have different displacement efficiencies, and increasing relaxation time can improve oil displacement efficiency.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Energy & Fuels
Ming-Zhong Gao, Ben-Gao Yang, Jing Xie, Si-Qi Ye, Jun-Jun Liu, Yi-Ting Liu, Rui-Feng Tang, Hai-Chun Hao, Xuan Wang, Xiang-Yue Wen, Xue-Min Zhou
Summary: This study focuses on the new microwave rock-breaking technology and conducts experimental and numerical simulation research on typical deep, hard rock granite. The research results show that granite exhibits high-temperature melting and fracture in the microwave field, with temperatures reaching up to 550°C. The numerical simulation results demonstrate the interaction of thermal stress and in situ stress, leading to the separation of the rock stratum into different areas.
Review
Energy & Fuels
Funsho Afolabi, Syed M. Mahmood, Nurudeen Yekeen, Saeed Akbari, Hamid Sharifigaliuk
Summary: Polymeric surfactants have emerged as a viable alternative to conventional chemical methods in enhancing hydrocarbon recovery, offering multifunctional mechanisms such as viscosity increment and interfacial tension reduction for improved mobility control and fluid redistribution.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Energy & Fuels
Jinsheng Sun, Xianfa Zhang, Kaihe Lv, Jingping Liu, Zhuoyang Xiu, Zonglun Wang, Xianbin Huang, Yingrui Bai, Jintang Wang, Jiafeng Jin
Summary: In this study, a novel thickening and fluid loss control additive (ASML) with significant hydrophobic association characteristics as well as outstanding temperature- and salt-resistance was synthesized. The experiments showed that ASML can improve the networked structure and reduce the fluid loss of drilling fluid under high temperature and high salinity conditions.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Energy & Fuels
Ruijie Huang, Chenji Wei, Baohua Wang, Jian Yang, Xin Xu, Suwei Wu, Suqi Huang
Summary: Fast and accurate prediction of well performance is crucial for development optimization, and the study demonstrates that the LSTM method provides more accurate predictions with lower errors compared to traditional RNS. Additionally, the LSTM approach shows significant advantages in terms of computational efficiency.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
