Hydrocarbon potential assessment of the lacustrine fan delta reservoirs in the Lower Cretaceous syn-rift Xing’anling Formation in the Beier Sag, Hailar Basin, Northeast China by Xin Cui, Xin Cui, Jianghai Li, Hongfu Jiang, Hongxing Yan, Qingpeng Qi

“…These results also highlight the utility of sedimentary patterns and sand body assemblage studies for the oil exploration and development of similar rifted basins.…”
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A Data-Driven Approach to the Unified Evaluation of Conventional and Unconventional Hydrocarbon Resources: Application to Low-Mature to Mature Source Rocks in the Liaohe Western De... by Shasha Hui, Xiongqi Pang, Hong Pang, Changrong Li, Xiaolong Zhou, Tao Hu, Kanyuan Shi, Min Li, Shuxing Mei, Wu Yuan, Jianping Cheng

“…By contrast, the values of the conventional, unconventional tight, and shale oil resource potentials of the Niuxintuo sub-member were 3.20 × 10⁷, 7.70 × 10⁷, and 5.93 × 10⁸ t, respectively, indicating good prospects for tight oil and shale oil exploration. A comparison between the previous method and the data-driven method showed considerable differences in the restoration of GPIo and TOC, and both had their own limitations. …”
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Petrology, Physical Properties and Geochemical Characteristics of Alkaline Lake Shale—Fengcheng Formation in Mahu Sag, Junggar Basin by Kang Zhao, Changmin Zhang, Lei Zhang, Zhiyuan An, Qinghai Xu, Xinrui Zhou

“…This study indicates that the shale of Fengcheng Formation in Mahu Sag has good hydrocarbon generation potential, especially the shale of P₁f₂, and can become the target of shale oil exploration.…”
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Assessment of the bacterial community structure in shallow and deep sediments of the Perdido Fold Belt region in the Gulf of Mexico by Ma. Fernanda Sánchez-Soto Jiménez, Daniel Cerqueda-García, Jorge L. Montero-Muñoz, Ma. Leopoldina Aguirre-Macedo, José Q. García-Maldonado

“…The Mexican region of the Perdido Fold Belt (PFB), in northwestern Gulf of Mexico (GoM), is a geological province with important oil reservoirs that will be subjected to forthcoming oil exploration and extraction activities. To date, little is known about the native microbial communities of this region, and how these change relative to water depth. …”
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The Effect of Hydration on Pores of Shale Oil Reservoirs in the Third Submember of the Triassic Chang 7 Member in Southern Ordos Basin by Pengfei Zhao, Xiangyu Fan, Qiangui Zhang, Xiang Wang, Mingming Zhang, Jiawei Ran, Da Lv, Jinhua Liu, Juntian Shuai, Hao Wu

“…At present, this area is in the initial stage of shale oil exploration and development. The reservoir pore is one of the key factors affecting oil accumulation, drilling safety, and oil production. …”
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Shale lithology identification using stacking model combined with SMOTE from well logs by Jinlu Yang, Min Wang, Ming Li, Yu Yan, Xin Wang, Haoming Shao, Changqi Yu, Yan Wu, Dianshi Xiao

“…Shale lithology identification is the basis of geological research and reservoir characterization, and is an essential task for oil exploration. Recently, several machine learning algorithms have been applied to improve the accuracy of lithology identification. …”
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Discovery of lacustrine shale deposits in the Yanshan Orogenic Belt, China: Implications for hydrocarbon exploration by Yuanfu Zhang, Xiaodong Yuan, Min Wang, Pengcheng Ge, Yancui Huo, Jie Xu, Jianguo Zhang, Jian Cheng, Zaixing Jiang

“…These results have significant implications for the sedimentology and oil exploration in the Qinling and Xingmeng Orogenic Belts of China, as well as those in other terranes of the world including the New England Orogenic Belt in Australia.…”
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Forecast of lacustrine shale lithofacies types in continental rift basins based on machine learning: A case study from Dongying Sag, Jiyang Depression, Bohai Bay Basin, China by Zhengwei Fang, Zhengwei Fang, Zhengwei Fang, Zhengwei Fang, Zhengwei Fang, Liqiang Zhang, Shicui Yan

“…Conventional geophysical methods cannot accurately forecast lacustrine shale lithofacies types, thus restricting the progress of shale oil exploration and development. Considering the lacustrine shale in the upper Es4 member of the Dongying Sag in the Jiyang Depression, Bohai Bay Basin, China, as the research object, the lithofacies type was forecast based on two machine learning methods: support vector machine (SVM) and extreme gradient boosting (XGBoost). …”
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Paleo-sedimentary environment and lithofacies of Jurassic Da’anzhai Member in the Central Sichuan Basin-A case study of Well Ren’an 1 by Rui Zhang, Rui Zhang, Benjian Zhang, Minglei Wang, Haihua Zhu, Haihua Zhu, Shaomin Zhang, Wenqiang Tang, Hongfei Zhou, Yucong Li, Rong Bai, Min Jia, Yiqing Zhu, Luyuan Han

“…The Jurassic Da’anzhai Member in Sichuan Basin is an important target for shale oil exploration. Whole rock X-ray diffraction analysis, thin section, SEM and TOC testing, as well as major and trace element analysis are used to analyze the relationship of lithofacies and pore types with the sedimentary environment of the Da’anzhai Member in the Central Sichuan Basin. …”
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Lithofacies Characteristics and Sweet Spot Distribution of Lacustrine Shale Oil: A Case Study from the Dongying Depression, Bohai Bay Basin, China by Pengjie Ma, Chengyan Lin, Guiang Li, Chunmei Dong, Long Jiang, Xinyu Du, Minhua Ren, Weibin Liu, Ziru Zhao, Yue Yuan, Kaihao Lang

“…The results indicate that comprehensive research of the key factors for shale oil and lithofacies prediction can promote sweet spot prediction and enhance shale oil exploration.…”
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Using Bandit Algorithms to Maximize SARS-CoV-2 Case-Finding: Evaluation and Feasibility Study by Michael F Rayo, Daria Faulkner, David Kline, Thomas Thornhill IV, Samuel Malloy, Dante Della Vella, Dane A Morey, Net Zhang, Gregg Gonsalves

“…While these kinds of Bayesian search algorithms are used widely in other settings (eg, to find downed aircraft, in submarine recovery, and to aid in oil exploration), this is the first time that Bayesian adaptive approaches have been used for active disease surveillance in the field. …”
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Exploring novel alkane-degradation pathways in uncultured bacteria from the North Atlantic Ocean by Mirna Vázquez Rosas Landa, Valerie De Anda, Robin R. Rohwer, Angelina Angelova, Georgia Waldram, Tony Gutierrez, Brett J. Baker

“…We describe previously unrecognized bacteria capable of hydrocarbon degradation, including the dominant genera Lentibacter, which may continuously purge hydrocarbons released from oil exploration activities in the FSC. This advances the understanding of the diversity and physiologies of alkane degradation in the North Atlantic and provides evidence of new mechanisms used to metabolize alkanes. …”
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Geological characteristics and controlling factors of lithologic reservoirs in southwestern Qaidam Basin by Yanxiong WU, Jianqin XUE, Qi SHI, Yun YANG, Junlin LIU, Fengchun MA, Xiang LI, Yanqing WANG

“…The widely distributed beach bar is a favorable area for lithologic oil exploration in the upper Ganchaigou Formation and lower Youshashan Formation of Neogene, mainly distributed in Yingxiongling, Gasi, Zhahaquan, Wunan, and other areas. …”
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Interfacial properties in the CFRP and CFRP-Ti composites under hygrothermal conditions by Yu, Bin

“…Carbon fiber-reinforced plastic (CFRP) based composite riser integrated with titanium liner (namely CFRP-Ti composite riser) is a promising choice for deep-water oil exploration and production to replace conventional metal risers due to its various advantages including lightweight, high specific strength and stiffness, and outstanding corrosion resistance, etc. …”
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Microscopic Analysis of Natural Fracture Properties in Organic-Rich Continental Shale Oil Reservoirs: A Case Study from the Lower Jurassic in the Sichuan Basin, China by Xuefeng Bai, Saipeng Huang, Xiandong Wang, Zhiguo Wang, Youzhi Wang, Weiqi Ma, Yanping Zhu, Mengdi Sun, Bo Liu, Xiaofei Fu, Lijuan Cheng, Likai Cui, Yudong Hou

“…Therefore, our research can enhance the understanding of the properties of natural fractures, facilitate predicting favorable areas for shale oil exploration, and aid in evaluating the carbon storage potential of shale oil reservoirs.…”
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A Study on the Pore Structure and NMR Fractal Characteristics of Continental Shale in the Funing Formation of the Gaoyou Sag, Subei Basin by Zipeng Wang, Yue Zhu, Zhenxue Jiang, Houjian Gong, Yu Yang, Bo Wang, Xin Wang

“…The efficacy of shale oil exploration and production is heavily contingent upon the heterogeneity of the pore structure within the reservoir. …”
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Characteristics and Influencing Factors of Multi-Scale Pore Structure Heterogeneity of Lacustrine Shale in the Gaoyou Sag, Eastern China by Peng Li, Houjian Gong, Zhenxue Jiang, Fan Zhang, Zhikai Liang, Zipeng Wang, Yonghui Wu, Xindi Shao

“…The success of shale oil exploration and production is highly dependent on the heterogeneous nature of the reservoir pore structure. …”
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The economic effects of resource extraction in developing countries by Cust, J

“…In Chapter 2, entitled Institutions and the Location of Oil Exploration I present an investigation into this question. …”

Enrichment factors of movable hydrocarbons in lacustrine shale oil and exploration potential of shale oil in Gulong Sag, Songliao Basin, NE China by Wenzhi ZHAO, Congsheng BIAN, Yongxin LI, Jinyou ZHANG, Kun HE, Wei LIU, Bin ZHANG, Zhengdong LEI, Chang LIU, Jingya ZHANG, Ming GUAN, Shiju LIU

“…The geological characteristics and production practices of the major middle- and high-maturity shale oil exploration areas in China are analyzed. Combined with laboratory results, it is clear that three essential conditions, i.e. economic initial production, commercial cumulative oil production of single well, and large-scale recoverable reserves confirmed by the testing production, determine whether the continental shale oil can be put into large-scale commercial development. …”
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Offshore Oil Slick Detection: From Photo-Interpreter to Explainable Multi-Modal Deep Learning Models Using SAR Images and Contextual Data by Emna Amri, Pierre Dardouillet, Alexandre Benoit, Hermann Courteille, Philippe Bolon, Dominique Dubucq, Anthony Credoz

“…Ocean surface monitoring, emphasizing oil slick detection, has become essential due to its importance for oil exploration and ecosystem risk prevention. Automation is now mandatory since the manual annotation process of oil by photo-interpreters is time-consuming and cannot process the data collected continuously by the available spaceborne sensors. …”
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