Advances in Geo-Energy Research最新文献_第4页

Explicit original gas in place determination of naturally fractured reservoirs in gas well rate decline analysis 气井递减率分析中天然裂缝性储层的显式天然气原地确定

IF 8.2 1区地球科学

Advances in Geo-Energy Research Pub Date : 2023-07-27 DOI: 10.46690/ager.2023.08.05

Yang Wang, Junling Wang, Wanli Zhao, Pengcheng Ji, Shiqing Cheng, Haiyang Yu

{"title":"Explicit original gas in place determination of naturally fractured reservoirs in gas well rate decline analysis","authors":"Yang Wang, Junling Wang, Wanli Zhao, Pengcheng Ji, Shiqing Cheng, Haiyang Yu","doi":"10.46690/ager.2023.08.05","DOIUrl":"https://doi.org/10.46690/ager.2023.08.05","url":null,"abstract":": Naturally fractured gas reservoirs have contributed significantly to global gas reserves and production. The classical gas-well decline analysis relies largely on Arps’ empirical decline models, or modern production decline analysis associating with pseudo-variables. The explicit original gas in place determination methodology is extended from homogeneous reservoir to naturally fractured reservoir under constant or variable bottom-hole pressure conditions in gas-well rate decline analysis. Then, the relationship between gas flow rate and average reservoir pseudo-pressure in the boundary-dominated flow period is re-derived. This formula is in the same format with the equation for homogeneous reservoir by due to the introduction of a new productivity index parameter that captures the inter-porosity flow between fracture and matrix in the natural fractured reservoir. The proposed step-by-step procedures are applied here, which enable the estimation of decline exponent and the explicit and straightforward determination of the original gas in place without any iterative calculations. Four simulated cases prove that our methodology can be successfully used in heterogeneous naturally fractured reservoirs with irregular boundary under constant or variable bottom-hole pressure conditions. 1.","PeriodicalId":36335,"journal":{"name":"Advances in Geo-Energy Research","volume":" ","pages":""},"PeriodicalIF":8.2,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41709767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Nanofluid impact on fluid interaction and migration characteristics for enhanced oil recovery in Baikouquan tight glutenite 纳米流体对百口泉致密砂砾岩流体相互作用及运移特征的影响

IF 8.2 1区地球科学

Advances in Geo-Energy Research Pub Date : 2023-07-24 DOI: 10.46690/ager.2023.08.03

Xiaomin Cao, Qi Li, M. Myers, Liang Xu, Quan Chen, Yongsheng Tan

引用次数: 0

Compressed air energy storage in salt caverns in China: Development and outlook 中国盐穴压缩空气储能:发展与展望

IF 8.2 1区地球科学

Advances in Geo-Energy Research Pub Date : 2023-07-19 DOI: 10.46690/ager.2023.07.06

Mingzhong Wan, Wen‐dong Ji, Jifang Wan, Yuxian He, Jingcui Li, Wei Liu, M. Jurado

引用次数: 5

CO2 storage in depleted oil and gas reservoirs: A review 枯竭油气藏CO2封存研究进展

IF 8.2 1区地球科学

Advances in Geo-Energy Research Pub Date : 2023-07-18 DOI: 10.46690/ager.2023.08.02

Boxin Wei, Bowen Wang, X. Li, MaYiLa Aishan, Yiwen Ju

引用次数: 2

Construction of multi-mineral digital rocks for upscaling the numerical simulation of tight rock physical properties 构建多矿物数字岩石，提升致密岩物性数值模拟

IF 8.2 1区地球科学

Advances in Geo-Energy Research Pub Date : 2023-07-16 DOI: 10.46690/ager.2023.07.07

Jiamin Hu, Zhanshan Xiao, Hao Ni, X. Liu

引用次数: 0

Asymptotic hydrodynamic homogenization and thermodynamic bounds for upscaling multiphase flow in porous media 多孔介质中放大多相流的渐近流体动力学均化和热力学界

IF 8.2 1区地球科学

Advances in Geo-Energy Research Pub Date : 2023-07-13 DOI: 10.46690/ager.2023.07.05

Shaheryar T. Hussain, K. Regenauer‐Lieb, A. Zhuravljov, F. Hussain, S. Rahman

引用次数: 0

Multi-label prediction method for lithology, lithofacies and fluid classes based on data augmentation by cascade forest 基于级联森林数据扩充的岩性、岩相和流体类别多标签预测方法

IF 8.2 1区地球科学

Advances in Geo-Energy Research Pub Date : 2023-07-09 DOI: 10.46690/ager.2023.07.04

R. Han, Zhuwen Wang, Yu-hang Guo, Xinru Wang, R. A, Gaoming Zhong

{"title":"Multi-label prediction method for lithology, lithofacies and fluid classes based on data augmentation by cascade forest","authors":"R. Han, Zhuwen Wang, Yu-hang Guo, Xinru Wang, R. A, Gaoming Zhong","doi":"10.46690/ager.2023.07.04","DOIUrl":"https://doi.org/10.46690/ager.2023.07.04","url":null,"abstract":": Predicting the lithology, lithofacies and reservoir ﬂuid classes of igneous rocks holds signiﬁcant value in the domains of CO 2 storage and reservoir evaluation. However, no precedent exists for research on the multi-label identiﬁcation of igneous rocks. This study proposes a multi-label data augmented cascade forest method for the prediction of multi-label lithology, lithofacies and ﬂuid using 9 conventional logging data features of cores collected from the eastern depression of the Liaohe Basin in northeastern China. Data augmentation is performed on an unbalanced multi-label training set using the multi-label synthetic minority over-sampling technique. Sample training is achieved by a multi-label cascade forest consisting of predictive clustering trees. These cascade structures possess adaptive feature selection and layer growth mechanisms. Given the necessity to focus on all possible outcomes and the generalization ability of the method, a simulated well model is built and then compared with 6 typical multi-label learning methods. The outperformance of this method in the evaluation metrics validates its superiority in terms of accuracy and generalization ability. The consistency of the predicted results and geological data of actual wells veriﬁes the reliability of our method. Furthermore, the results show that it can be used as a reliable means of multi-label prediction of igneous lithology, lithofacies and reservoir ﬂuids.","PeriodicalId":36335,"journal":{"name":"Advances in Geo-Energy Research","volume":" ","pages":""},"PeriodicalIF":8.2,"publicationDate":"2023-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42088396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Acoustic impedance inversion in coal strata using the priori constraint-based TCN-BiGRU method 基于先验约束的TCN-BiGRU煤层声阻抗反演方法

IF 8.2 1区地球科学

Advances in Geo-Energy Research Pub Date : 2023-07-03 DOI: 10.46690/ager.2023.07.03

S. Shi, Youchao Qi, Weiming Chang, Li Li, Xuejun Yao, Jingxue Shi

引用次数: 0

Factors affecting the fluid temperature of geothermal energy wells converted from abandoned oil and gas wells 废弃油气井改造地热井流体温度影响因素分析

IF 8.2 1区地球科学

Advances in Geo-Energy Research Pub Date : 2023-06-29 DOI: 10.46690/ager.2023.07.02

Peng Zhang, B. Guo

引用次数: 0

Recent advances in theory and technology of oil and gas geophysics 油气地球物理理论与技术进展