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Improved sand characterization of mafe field of niger delta by integrated well logs information and 3d seismic data
Joint Authors
Patrick, Abbey CHukwuemeka
Uduma, Okpogo Emele
Obiageli, Atueyi Ifeyinwa
Source
Issue
Vol. 59, Issue 2C (30 Jun. 2018), pp.1065-1073, 9 p.
Publisher
University of Baghdad College of Science
Publication Date
2018-06-30
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Abstract EN
Well log rock physics and seismic facies analysis was carried out with a view to enhancing reservoir sand characterization of Mafe Field of Niger Delta.
Lithofacies were identified using suites of well logs and correlated across the block.
Rock properties were estimated from wireline logs using empirical methods.
Vp-porosity crossplot was used to characterize the delineated sandstone reservoirs by comparing observed clusters and trends with various rock physics models.
Seismic attribute analysis was employed to detect lateral changes in lithology across the field.
Reservoir A is a relatively clean sand, with low average volume of shale of 0.4, average thickness of 55m, good average porosity of 0.26 and average water saturation of 0.45.
Reservoir B is also a relatively clean sand with low average volume of shale of 0.35, average thickness of 85m, high average porosity of 0.27 and average water saturation of 0.54.
Reservoir C has an estimated volume of shale of 0.21 average total porosity of 0.23, and an average thickness of 70m with average water saturation of 0.65.
Reservoir A conforms to the friable sand model while Vpporosity crossplot cluster trend for both reservoir B and C show trend and properties imitating the contact cement model.
The time slices extracted at different time intervals from the envelope and instantaneous frequency cubes show lateral variation in lithofacies across the delineated sandstones.
Instantaneous frequency decreases from southwest to northeast which corresponds to decrease in shalines.
Reservoir quality information can be predicted or even derived from the estimated petrophysical properties since these parameters such as porosity and volume of shale are sometimes closely associated with rock properties such as sorting, lithofacies and grain maturity
American Psychological Association (APA)
Uduma, Okpogo Emele& Patrick, Abbey CHukwuemeka& Obiageli, Atueyi Ifeyinwa. 2018. Improved sand characterization of mafe field of niger delta by integrated well logs information and 3d seismic data. Iraqi Journal of Science،Vol. 59, no. 2C, pp.1065-1073.
https://search.emarefa.net/detail/BIM-838041
Modern Language Association (MLA)
Uduma, Okpogo Emele…[et al.]. Improved sand characterization of mafe field of niger delta by integrated well logs information and 3d seismic data. Iraqi Journal of Science Vol. 59, no. 2C (Jun. 2018), pp.1065-1073.
https://search.emarefa.net/detail/BIM-838041
American Medical Association (AMA)
Uduma, Okpogo Emele& Patrick, Abbey CHukwuemeka& Obiageli, Atueyi Ifeyinwa. Improved sand characterization of mafe field of niger delta by integrated well logs information and 3d seismic data. Iraqi Journal of Science. 2018. Vol. 59, no. 2C, pp.1065-1073.
https://search.emarefa.net/detail/BIM-838041
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 1073
Record ID
BIM-838041