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Analysis of reservoir heterogeneities and depositional environments: a new method

文献类型：期刊论文

作者Boateng, Cyril D.1,2; Fu, Li-Yun1
刊名EXPLORATION GEOPHYSICS
出版日期2018
卷号49期号:6页码:868-880
关键词depositional environments fractals Monte Carlo technique morphological features reservoir heterogeneities sonic logs von Karman autocorrelation model
ISSN号0812-3985
DOI10.1071/EG17072
英文摘要A new methodology is presented to quantify reservoir heterogeneities based on a Monte Carlo parameter estimation technique from sonic logs. The acoustic reservoir heterogeneities are then quantified as an indicator to differentiate depositional environments and reservoir facies for geological interpretation in this study. Fractal statistics provides us with a framework to model reservoir heterogeneities with different Hurst numbers, correlation lengths and fluctuation standard deviations from sonic logs. These fractal parameters are derived from the von Karman autocorrelation model and estimated by an improved methodology using a Monte Carlo parameter estimation technique. Unlike the regular estimation method, the Monte Carlo parameter estimation technique is more stable. The resulting Hurst numbers, correlation lengths and root mean square (RMS) heights from 20 sonic logs are mapped in a reservoir with sandstone-mudstone sequences over complex continental deposits in north-eastern China. The spatial distribution of estimated reservoir heterogeneity parameters are then correlated with depositional facies interpretation derived from seismic attributes and petrophysical properties based on prior geological knowledge. Numerical experiments show that the Monte Carlo parameter estimation technique is successful in recovering acoustic heterogeneity parameters from sonic logs. Results from qualitative correlational analysis of sonic logs from the complex continent deposits in north-eastern China show that these parameters can be key discriminants for depositional facies and environments and may be utilised as a constraint in reservoir characterisation. Maps of Hurst numbers and correlation lengths strongly correspond with reservoir facies distributions, whereas maps of RMS heights correlate significantly with fluvial depositional patterns. The results were generally uniform even when different depth ranges within the formation of interest were used as input for parameter estimation. Numerical values of reservoir heterogeneity parameters may not fully recover the geology of a given reservoir but their distribution in space is an important indication of the morphological features of depositional environments.
WOS关键词STOCHASTIC-ANALYSIS ; UPPER CRUST ; SONIC LOGS ; SCATTERING ; PROPAGATION ; INVERSION ; BASIN
资助项目Chinese Academy of Sciences through the CAS-TWAS President's Fellowship program ; World Academy of Sciences through the CAS-TWAS President's Fellowship program ; Chinese Academy of Sciences Strategic Leading Science and Technology Projects[XDB10010400]
WOS研究方向Geochemistry & Geophysics
语种英语
WOS记录号WOS:000451333400008
出版者CSIRO PUBLISHING
资助机构Chinese Academy of Sciences through the CAS-TWAS President's Fellowship program ; Chinese Academy of Sciences through the CAS-TWAS President's Fellowship program ; World Academy of Sciences through the CAS-TWAS President's Fellowship program ; World Academy of Sciences through the CAS-TWAS President's Fellowship program ; Chinese Academy of Sciences Strategic Leading Science and Technology Projects ; Chinese Academy of Sciences Strategic Leading Science and Technology Projects ; Chinese Academy of Sciences through the CAS-TWAS President's Fellowship program ; Chinese Academy of Sciences through the CAS-TWAS President's Fellowship program ; World Academy of Sciences through the CAS-TWAS President's Fellowship program ; World Academy of Sciences through the CAS-TWAS President's Fellowship program ; Chinese Academy of Sciences Strategic Leading Science and Technology Projects ; Chinese Academy of Sciences Strategic Leading Science and Technology Projects ; Chinese Academy of Sciences through the CAS-TWAS President's Fellowship program ; Chinese Academy of Sciences through the CAS-TWAS President's Fellowship program ; World Academy of Sciences through the CAS-TWAS President's Fellowship program ; World Academy of Sciences through the CAS-TWAS President's Fellowship program ; Chinese Academy of Sciences Strategic Leading Science and Technology Projects ; Chinese Academy of Sciences Strategic Leading Science and Technology Projects ; Chinese Academy of Sciences through the CAS-TWAS President's Fellowship program ; Chinese Academy of Sciences through the CAS-TWAS President's Fellowship program ; World Academy of Sciences through the CAS-TWAS President's Fellowship program ; World Academy of Sciences through the CAS-TWAS President's Fellowship program ; Chinese Academy of Sciences Strategic Leading Science and Technology Projects ; Chinese Academy of Sciences Strategic Leading Science and Technology Projects
源URL[http://ir.iggcas.ac.cn/handle/132A11/89610]  
专题地质与地球物理研究所_中国科学院油气资源研究重点实验室
通讯作者Fu, Li-Yun
作者单位1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resource Res, Beijing 100029, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Boateng, Cyril D.,Fu, Li-Yun. Analysis of reservoir heterogeneities and depositional environments: a new method[J]. EXPLORATION GEOPHYSICS,2018,49(6):868-880.
APA Boateng, Cyril D.,&Fu, Li-Yun.(2018).Analysis of reservoir heterogeneities and depositional environments: a new method.EXPLORATION GEOPHYSICS,49(6),868-880.
MLA Boateng, Cyril D.,et al."Analysis of reservoir heterogeneities and depositional environments: a new method".EXPLORATION GEOPHYSICS 49.6(2018):868-880.

入库方式： OAI收割

来源：地质与地球物理研究所

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