A multi-mineral model for predicting petrophysical properties of complex metamorphic reservoirs:Case study of the Bozhong Depression,Bohai Sea
作者机构：Tianjin Branch of CNOOC Ltd.Tianjin300459China Well Tech of China Oilfield Services Co.Ltd.CNOOCTianjin300459China School of Energy ResourcesChina University of GeosciencesBeijing100083China Beijing Key Laboratory of Unconventional Natural Gas Geological Evaluation and Development EngineeringBeijing100083China Research Center of China National Offshore Oil CorporationBeijing100027China State Key Laboratory of Natural Gas HydrateBeijing100028China
出 版 物：《Energy Geoscience》 (能源地球科学（英文）)
年 卷 期：2024年第5卷第3期
页 面：66-76页
核心收录：
学科分类：081803[工学-地质工程] 08[工学] 0818[工学-地质资源与地质工程]
主 题：Logging interpretation Metamorphic rock Buried hill reservoir Petrophysical property prediction Bozhong 19-6 structural zone
摘 要：Interpreting reservoir properties through log data and logging responses in complex strata is critical for efficient petroleum exploitation,particularly for metamorphic ***,the unsatisfactory accuracy of such interpretations in complex reservoirs has hindered their widespread application,resulting in severe *** this study,we proposed a multi-mineral model based on the least-square method and an optimal principle to interpret the logging responses and petrophysical properties of complex hydrocarbon *** began by selecting the main minerals based on a comprehensive analysis of log data,X-ray diffraction,petrographic thin sections and scanning electron microscopy(SEM)for three wells in the Bozhong 19-6 structural *** combination of the physical properties of these minerals with logging responses,we constructed the multi-mineral model,which can predict the log curves,petrophysical properties and mineral *** predicted and measured log data are evaluated using a weighted average error,which shows that the multi-mineral model has satisfactory prediction performance with errors below 11%in most ***,we apply the model to a new well“xin the Bozhong 19-6 structural zone,and the predicted logging responses match well with measured data with the weighted average error below 11.8%for most ***,the lithology is dominated by plagioclase,K-feldspar,and quartz as shown by the mineral profile,which correlates with the lithology of the Archean metamorphic rocks in this *** is concluded that the multi-mineral model presented in this study provides reasonable methods for interpreting log data in complex metamorphic hydrocarbon reservoirs and could assist in efficient development in the future.
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