干旱区生态环境知识资源中心(Arid): Petrophysical heterogeneity of the early Cretaceous Alamein dolomite reservoir from North Razzak oil field, Egypt integrating well logs, core measurements, and machine learning approach

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DOI	10.1016/j.fuel.2021.121698
	Petrophysical heterogeneity of the early Cretaceous Alamein dolomite reservoir from North Razzak oil field, Egypt integrating well logs, core measurements, and machine learning approach
	Sen, Souvik; Abioui, Mohamed; Ganguli, Shib Sankar; Elsheikh, Ahmed; Debnath, Akash; Benssaou, Mohammed; Abdelhady, Ahmed Awad
通讯作者	Sen, S (corresponding author), Geologix Ltd, Dynasty Bldg,Level 4,Andheri Kurla Rd, Mumbai 400059, Maharashtra, India.
来源期刊	FUEL
ISSN	0016-2361
EISSN	1873-7153
出版年	2021
卷号	306
英文摘要	Capturing the petrophysical heterogeneities within a reservoir has a critical influence on reservoir deliverability as well as field development programs. In this study, we report a comprehensive petrophysical evaluation of the oil-producing Aptian Alamein dolomite reservoir from the North Razzak field, Western Desert of Egypt. Integration of wireline logs and routine core analysis indicates that the Alamein reservoir has an extremely wide range of porosity (1-23%) and permeability (0.01-7000 mD), contributed by the early diagenetic dolomitization history and complex distribution of vugs. Petrophysical assessment by reservoir quality index (RQI) and flow zone indicator (FZI) infers that the megaporous rock types offer very good to excellent reservoir qualities and macroporosity dominated intervals are of fair to good quality. Further, we developed a permeability prediction model in this challenging carbonate rock based on Random Forest (RF) regression, and tested its efficacy and generalizability by well-defined performance metrics. The RF-based algorithm provided a more confident permeability prediction (R2 = 0.937) compared to conventional methods. Based on the petrophysical attributes; six distinct petrofacies (PF) associations are identified. PF-1, PF-3, and PF-5 provide excellent reservoir qualities with superlative storage capacity and hydraulic flow potential contributed by connected vugs, while the microporosity-dominated impervious PF-2 and PF-4 intervals act as intra-reservoir permeability barriers. We suggest that the higher initial oil production rate was mainly contributed by the larger connected pores and vuggy spaces. As reservoir pressure drops, hydrocarbon flows restrict to the smaller pores causing accelerated production weakening. Based on this comprehensive analysis, a suitable drilling and completion strategy is recommended for the future reservoir development program.
英文关键词	Petrophysical characterization Reservoir quality Heterogeneity Machine learning Alamein dolomite
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000703854800006
WOS关键词	SUPPORT VECTOR REGRESSION ; WESTERN DESERT ; CARBONATE RESERVOIRS ; SECONDARY POROSITY ; PERMEABILITY ; BASIN ; ROCKS ; COMPACTION ; ZONATION ; SHALE
WOS类目	Energy & Fuels ; Engineering, Chemical
WOS研究方向	Energy & Fuels ; Engineering
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/363364
作者单位	[Sen, Souvik] Geologix Ltd, Dynasty Bldg,Level 4,Andheri Kurla Rd, Mumbai 400059, Maharashtra, India; [Abioui, Mohamed; Benssaou, Mohammed] Ibn Zohr Univ, Dept Earth Sci, Fac Sci, Agadir, Morocco; [Ganguli, Shib Sankar; Debnath, Akash] CSIR Natl Geophys Res Inst, Deep Seism Res Grp, Uppal Rd, Hyderabad 500007, Telangana, India; [Elsheikh, Ahmed; Abdelhady, Ahmed Awad] Minia Univ, Geol Dept, Fac Sci, Al Minya 61519, Egypt
推荐引用方式 GB/T 7714	Sen, Souvik,Abioui, Mohamed,Ganguli, Shib Sankar,et al. Petrophysical heterogeneity of the early Cretaceous Alamein dolomite reservoir from North Razzak oil field, Egypt integrating well logs, core measurements, and machine learning approach[J],2021,306.
APA	Sen, Souvik.,Abioui, Mohamed.,Ganguli, Shib Sankar.,Elsheikh, Ahmed.,Debnath, Akash.,...&Abdelhady, Ahmed Awad.(2021).Petrophysical heterogeneity of the early Cretaceous Alamein dolomite reservoir from North Razzak oil field, Egypt integrating well logs, core measurements, and machine learning approach.FUEL,306.
MLA	Sen, Souvik,et al."Petrophysical heterogeneity of the early Cretaceous Alamein dolomite reservoir from North Razzak oil field, Egypt integrating well logs, core measurements, and machine learning approach".FUEL 306(2021).