PETROPHYSICS

作品数:32被引量:42H指数:4
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相关领域:天文地球更多>>
相关作者:印兴耀王保丽张广智王宏建更多>>
相关机构:中国石油大学(华东)中国石油天然气集团公司更多>>
相关期刊:《Science China Earth Sciences》《Geoscience Frontiers》《测井技术》《Journal of Earth Science》更多>>
相关基金:国家自然科学基金国家重点基础研究发展计划中国博士后科学基金更多>>
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Reservoir evaluation using petrophysics informed machine learning:A case study
《Artificial Intelligence in Geosciences》2024年第1期46-63,共18页Rongbo Shao Hua Wang Lizhi Xiao 
supported by the Strategic Cooperation Technology Projects of CNPC and CUPB (ZLZX2020-03);National Key Research and Development Program (2019YFA0708301);National Key Research and Development Program (2023YFF0714102);Science and Technology Innovation Fund of CNPC (2021DQ02-0403).
relationships between logging data and reservoir parameters.We compare our method’s performances using two datasets and evaluate the influences of multi-task learning,model structure,transfer learning,and petrophysic...
关键词:Machine learning Reservoir parameters evaluation Data-mechanism-driven Well logs 
Reservoir quality evaluation of the Narimba Formation in Bass Basin,Australia:Implications from petrophysical analysis,sedimentological features,capillary pressure and wetting fluid saturation被引量:1
《Energy Geoscience》2024年第1期37-53,共17页Wafa Abdul Qader Al-Ojaili Mohamed Ragab Shalaby Wilfried Bauer 
The evaluation of reservoir quality was accomplished on the Late Paleocene to Early Eocene Narimba Formation in Bass Basin,Australia.This study involved combination methods such as petrophysical analysis,petrography a...
关键词:Narimba formation PETROPHYSICS Reservoir quality Capillary pressure Wetting fluid saturation 
Saturation evaluation for fine-grained sediments
《Geoscience Frontiers》2023年第4期57-71,共15页Linqi Zhu Shiguo Wu Xueqing Zhou Jianchao Cai 
This project was funded by the National Natural Science Foundation of China(No.42106213);the China Postdoctoral Science Foundation(Nos.2021M690161 and 2021T140691);the National Key Research and Development Program of China(No.2021YFC3100601);the Postdoctorate Funded Project in Hainan Province.
Accurate quantification of the gas hydrate content in the deep sea is useful for assessing the resource potential and understanding the role of gas hydrates in the global carbon cycle.Resistivity logging data combined...
关键词:HYDRATE FINE-GRAINED Cementation factor Saturation index ARCHIE PETROPHYSICS 
2D seismic interpretation of Sawan gas field integrated with petrophysical analysis:A case study from Lower Indus Basin,Pakistan
《Energy Geoscience》2023年第2期35-48,共14页Abd Ur Rehman Khan Muhammad Amar Gul Rizwan Sarwar Awan Ashar Khan Khawaja Hasnain Iltaf Sibt.E Hassan Butt 
The Lower Indus Basin is the leading hydrocarbon-bearing sedimentary basin in Pakistan.This study has been conducted on the Sawan gas field located in the Lower Indus Basin,adjacent to a few other wellknown gas fields...
关键词:Sawan SEISMIC Well-logs Goru formation CRETACEOUS PETROPHYSICS 
Fluvial reservoir characterization through channel belt dimension and petrophysical analysis
《Petroleum Science》2023年第2期787-802,共16页Shakhawat Hossain Tahmidur Rahman Junayed Naymur Rahman 
The dimensions and connectivity of fluvial reservoirs vary greatly, making it challenging to characterize them using conventional approaches. In this study integrated channel belt dimension analysis from seismic geomo...
关键词:Log motif FLUVIAL Channel belt dimension Seismic geomorphology PETROPHYSICS Moragot field 
Analysis and Characterization of Pore System and Grain Sizes of Carbonate Rocks from Southern Lebanon
《Journal of Earth Science》2023年第1期101-121,共21页Mohamed K.Salah Hammad Tariq Janjuhah Josep Sanjuan 
supported by a grant from the University Research Board (URB) of the American University of Beirut (AUB) (Nos. 103603, 24687)。
Carbonate rocks are common in many parts of the world, including the Eastern Mediterranean, where they host significant groundwater supplies and are widely used as building and ornamental stones. The porosity of carbo...
关键词:PETROPHYSICS mercury injection capillary pressure(MICP) micrite microtexture MICROPOROSITY platform carbonates southern Lebanon 
Machine learning in petrophysics: Advantages and limitations
《Artificial Intelligence in Geosciences》2022年第1期157-161,共5页Chicheng Xu Lei Fu Tao Lin Weichang Li Shouxiang Ma 
Machine learning provides a powerful alternative data-driven approach to accomplish many petrophysical tasks from subsurface data.It can assimilate information from large and rich data bases and infer relations,rules,...
关键词:utilized OVERCOME BASES 
Simplifying the Integration of Petrophysics and Rock-Physics to Identify Hydrocarbon Bearing Rocks on Seismic
《International Journal of Geosciences》2022年第10期951-972,共22页Arfan Ali Erick Alvarez 
A considerable effort has been made in the literature for quality assurance (QA) and quality checking (QC) of the petrophysical log data for computation of reservoir rock property parameters. Well log data plays an in...
关键词:Petrophysics-Rock Physics Integration Rock Physics Model Quantitative Interpretation Simplified Workflow Seismic to Well Tie 
Contribution to the Characterization of Carbonate Rocks of the Nganzi Oil Exploration Block (Onshore of the DR Congo Coastal Basin)
《Open Journal of Yangtze Oil and Gas》2022年第3期149-165,共17页Dominique Wetshondo Osomba Patrick Lokata Ediho Shams Mbundi Diambu Bruno Deko Oyema Benjamin Safari Kachunga Jean Ondontshia Nkoyi Link Bukasa Muamba Joël Kabesa Kilungu 
The carbonate lithofacies of the Nganzi Exploratory Block located in the Lukula Territory in the Central Kongo Province were described in the field, sampled and subjected to microscopic, mineralogical, physico-chemica...
关键词:Nganzi Block LIMESTONE DOLOMITE PETROPHYSICS Texture Surface Shows 
Application of ML&AI to model petrophysical and geomechanical properties of shale reservoirs e A systematic literature review被引量:1
《Petroleum》2022年第2期158-166,共9页Fahad I.Syed Abdulla AlShamsi Amirmasoud K.Dahaghi Neghabhan S 
Extensive reviews and cross-comparison studies are essential to analyze the emerging developments in a specific field of research.In the past decade,hydrocarbon exploration and exploitation from the shale reservoirs h...
关键词:AI ML PETROPHYSICS GEOMECHANICS 
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