干旱区生态环境知识资源中心(Arid): Application of sequential indicator simulation, sequential Gaussian simulation and flow zone indicator in reservoir-E modelling; Hatch Field Niger Delta Basin, Nigeria

Arid

DOI	10.1007/s12517-020-05332-8
	Application of sequential indicator simulation, sequential Gaussian simulation and flow zone indicator in reservoir-E modelling; Hatch Field Niger Delta Basin, Nigeria
	Jika, Hilary Terkula 1; Onuoha, Mosto Kalu 1; Okeugo, Chidi Gabriel 1; Eze, Martina Onyinye 2
通讯作者	Jika, Hilary Terkula
来源期刊	ARABIAN JOURNAL OF GEOSCIENCES
ISSN	1866-7511
EISSN	1866-7538
出版年	2020
卷号	13 期号:11
英文摘要	The study was carried out with the aim of predicting uncertainty using Sequential Indicator Simulation (SISIM) for lithofacies modelling, sequential Gaussian simulation (SGSIM) for reservoir property modelling and inferring the depositional environment using Flow Zone Indicator (FZI). Five well logs, core analysis data and 3D seismic data were used for the study. Reservoir sand named Reservoir-E was correlated across the five wells in the field, and its surface was mapped on the seismic sections from the 3D cube. Petrophysical evaluations revealed average, net to gross, porosity, permeability, the volume of shale, water saturation, hydrocarbon saturation (SH), Reservoir Quality Index (RQI) and FZI as 0.70, 0.29, 2342 mD, 0.158, 0.50, 0.50, 2.44 and 5.62 mu m, respectively. Structural interpretations on seismic sections revealed five major faults which trend NE-SW, NW-SE and W-E. A 3D grid with dimension 204x120x5=122,400 was constructed to accommodate our model. Validation of lithofacies models shows a correlation coefficient of 89.43-92.98% for well data and model. The property model shows variability in effective porosity and permeability 0.24 to 0.38 and 560 to 5600 mD. The low amount of SH in well HT-2 and HT-3ST1 is attributed to the presence of baffles with low reservoir quality index with 1.81 and 1.67 for RQI and 5.05 and 5.27 for FZI as compared to well HT-1, HT-4ST1 and HT-5 with RQI of 3.61, 2.71 and 2.41 and FZI of 6.25, 5.85 and 5.66. The environment of deposition is interpreted to be mouth bar-upper shoreface. High porosity and permeability values are linked with high FZI and RQI which are targets for exploitation.
英文关键词	Sequential Gaussian simulation Sequential Indicator simulation Flow zone indicator Porosity Permeability
类型	Article
语种	英语
国家	Nigeria
收录类别	SCI-E
WOS记录号	WOS:000538091300002
WOS关键词	UPPER BAHARIYA MEMBER ; NORTH-WESTERN DESERT ; ABU GHARADIG OIL ; GAS-FIELD ; STRATIGRAPHY
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/318683
作者单位	1.Univ Nigeria, Dept Geol, Nsukka 410001, Nigeria; 2.Michael Okpara Univ Agr, Dept Phys, Umudike 440109, Nigeria
推荐引用方式 GB/T 7714	Jika, Hilary Terkula,Onuoha, Mosto Kalu,Okeugo, Chidi Gabriel,et al. Application of sequential indicator simulation, sequential Gaussian simulation and flow zone indicator in reservoir-E modelling; Hatch Field Niger Delta Basin, Nigeria[J],2020,13(11).
APA	Jika, Hilary Terkula,Onuoha, Mosto Kalu,Okeugo, Chidi Gabriel,&Eze, Martina Onyinye.(2020).Application of sequential indicator simulation, sequential Gaussian simulation and flow zone indicator in reservoir-E modelling; Hatch Field Niger Delta Basin, Nigeria.ARABIAN JOURNAL OF GEOSCIENCES,13(11).
MLA	Jika, Hilary Terkula,et al."Application of sequential indicator simulation, sequential Gaussian simulation and flow zone indicator in reservoir-E modelling; Hatch Field Niger Delta Basin, Nigeria".ARABIAN JOURNAL OF GEOSCIENCES 13.11(2020).