Pub Date : 2023-07-27DOI: 10.46690/ager.2023.08.05
Yang Wang, Junling Wang, Wanli Zhao, Pengcheng Ji, Shiqing Cheng, Haiyang Yu
: 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.
{"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":null,"pages":null},"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}
Pub Date : 2023-07-24DOI: 10.46690/ager.2023.08.03
Xiaomin Cao, Qi Li, M. Myers, Liang Xu, Quan Chen, Yongsheng Tan
{"title":"Nanofluid impact on fluid interaction and migration characteristics for enhanced oil recovery in Baikouquan tight glutenite","authors":"Xiaomin Cao, Qi Li, M. Myers, Liang Xu, Quan Chen, Yongsheng Tan","doi":"10.46690/ager.2023.08.03","DOIUrl":"https://doi.org/10.46690/ager.2023.08.03","url":null,"abstract":"","PeriodicalId":36335,"journal":{"name":"Advances in Geo-Energy Research","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2023-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48966478","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}
Pub Date : 2023-07-19DOI: 10.46690/ager.2023.07.06
Mingzhong Wan, Wen‐dong Ji, Jifang Wan, Yuxian He, Jingcui Li, Wei Liu, M. Jurado
{"title":"Compressed air energy storage in salt caverns in China: Development and outlook","authors":"Mingzhong Wan, Wen‐dong Ji, Jifang Wan, Yuxian He, Jingcui Li, Wei Liu, M. Jurado","doi":"10.46690/ager.2023.07.06","DOIUrl":"https://doi.org/10.46690/ager.2023.07.06","url":null,"abstract":"","PeriodicalId":36335,"journal":{"name":"Advances in Geo-Energy Research","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43062614","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}
Pub Date : 2023-07-18DOI: 10.46690/ager.2023.08.02
Boxin Wei, Bowen Wang, X. Li, MaYiLa Aishan, Yiwen Ju
{"title":"CO2 storage in depleted oil and gas reservoirs: A review","authors":"Boxin Wei, Bowen Wang, X. Li, MaYiLa Aishan, Yiwen Ju","doi":"10.46690/ager.2023.08.02","DOIUrl":"https://doi.org/10.46690/ager.2023.08.02","url":null,"abstract":"","PeriodicalId":36335,"journal":{"name":"Advances in Geo-Energy Research","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42771001","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}
Pub Date : 2023-07-16DOI: 10.46690/ager.2023.07.07
Jiamin Hu, Zhanshan Xiao, Hao Ni, X. Liu
{"title":"Construction of multi-mineral digital rocks for upscaling the numerical simulation of tight rock physical properties","authors":"Jiamin Hu, Zhanshan Xiao, Hao Ni, X. Liu","doi":"10.46690/ager.2023.07.07","DOIUrl":"https://doi.org/10.46690/ager.2023.07.07","url":null,"abstract":"","PeriodicalId":36335,"journal":{"name":"Advances in Geo-Energy Research","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2023-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48972641","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}
Pub Date : 2023-07-13DOI: 10.46690/ager.2023.07.05
Shaheryar T. Hussain, K. Regenauer‐Lieb, A. Zhuravljov, F. Hussain, S. Rahman
{"title":"Asymptotic hydrodynamic homogenization and thermodynamic bounds for upscaling multiphase flow in porous media","authors":"Shaheryar T. Hussain, K. Regenauer‐Lieb, A. Zhuravljov, F. Hussain, S. Rahman","doi":"10.46690/ager.2023.07.05","DOIUrl":"https://doi.org/10.46690/ager.2023.07.05","url":null,"abstract":"","PeriodicalId":36335,"journal":{"name":"Advances in Geo-Energy Research","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44664812","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}
Pub Date : 2023-07-09DOI: 10.46690/ager.2023.07.04
R. Han, Zhuwen Wang, Yu-hang Guo, Xinru Wang, R. A, Gaoming Zhong
: 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.
{"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":null,"pages":null},"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}
Pub Date : 2023-06-29DOI: 10.46690/ager.2023.07.02
Peng Zhang, B. Guo
{"title":"Factors affecting the fluid temperature of geothermal energy wells converted from abandoned oil and gas wells","authors":"Peng Zhang, B. Guo","doi":"10.46690/ager.2023.07.02","DOIUrl":"https://doi.org/10.46690/ager.2023.07.02","url":null,"abstract":"","PeriodicalId":36335,"journal":{"name":"Advances in Geo-Energy Research","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45057110","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}
Pub Date : 2023-06-28DOI: 10.46690/ager.2023.07.01
Yibo Wang, Yang Liu, Zhihui Zou, Q. Bao, Feng Zhang, Z. Zong
: Oil and gas are important energy resources and industry materials. They are stored in pores and fractures of subsurface rocks over thousands of meters in depth, making the finding and distinguishing them to be a significant challenge. The geophysical methods, especially the seismic and well-logging methods, are the effective ways to identify the oil and gas reservoirs and are widely used in industry. Due to the complexity of near surface and subsurface structures of new exploration targets, the geophysical methods based on advanced computation methods and physical principles are continuously proposed to cope with the emerging challenges. Thus, some new advances in theory and technology of oil and gas geophysics are summarized in this editorial material, especially focusing on the geophysical data processing, numerical simulation technology, rock physics modeling, and reservoir characterization
{"title":"Recent advances in theory and technology of oil and gas geophysics","authors":"Yibo Wang, Yang Liu, Zhihui Zou, Q. Bao, Feng Zhang, Z. Zong","doi":"10.46690/ager.2023.07.01","DOIUrl":"https://doi.org/10.46690/ager.2023.07.01","url":null,"abstract":": Oil and gas are important energy resources and industry materials. They are stored in pores and fractures of subsurface rocks over thousands of meters in depth, making the finding and distinguishing them to be a significant challenge. The geophysical methods, especially the seismic and well-logging methods, are the effective ways to identify the oil and gas reservoirs and are widely used in industry. Due to the complexity of near surface and subsurface structures of new exploration targets, the geophysical methods based on advanced computation methods and physical principles are continuously proposed to cope with the emerging challenges. Thus, some new advances in theory and technology of oil and gas geophysics are summarized in this editorial material, especially focusing on the geophysical data processing, numerical simulation technology, rock physics modeling, and reservoir characterization","PeriodicalId":36335,"journal":{"name":"Advances in Geo-Energy Research","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42581590","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}
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