KFU. Card publication. Natural heavy oil reservoirs porosity and saturation coefficients estimation based on wavelet analysis of X-Ray computed tomography histogram

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NATURAL HEAVY OIL RESERVOIRS POROSITY AND SATURATION COEFFICIENTS ESTIMATION BASED ON WAVELET ANALYSIS OF X-RAY COMPUTED TOMOGRAPHY HISTOGRAM

Form of presentation

Conference proceedings in Russian journals and collections

Year of publication

2019

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Authors, employees of KFU

Kadyrov Rail Ilgizarovich, author

Bibliographic description in the original language

Kadyrov R. et al. Natural heavy oil reservoirs porosity and saturation coefficients estimation based on wavelet analysis of X-Ray computed tomography histogram // IOP Conf. Ser. Earth Environ. Sci. 2019. Vol. 282. P. 012032.

Annotation

IOP Conference Series: Earth and Environmental Science

Keywords

Computerized tomography, Crude oil, Graphic methods, Oil fields, Petroleum reservoir engineering, Petroleum reservoirs, Porosity, Resource valuation, Thermal oil recovery, Wavelet analysis, X rays

The name of the journal

IOP Conference Series: Earth and Environmental Science

URL

https://www.scopus.com/record/display.uri?eid=2-s2.0-85070391355&origin=resultslist

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=250619&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Kadyrov Rail Ilgizarovich	ru_RU
dc.date.accessioned	2019-01-01T00:00:00Z	ru_RU
dc.date.available	2019-01-01T00:00:00Z	ru_RU
dc.date.issued	2019	ru_RU
dc.identifier.citation	Kadyrov R. et al. Natural heavy oil reservoirs porosity and saturation coefficients estimation based on wavelet analysis of X-Ray computed tomography histogram // IOP Conf. Ser. Earth Environ. Sci. 2019. Vol. 282. P. 012032.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=250619&p_lang=2	ru_RU
dc.description.abstract	IOP Conference Series: Earth and Environmental Science	ru_RU
dc.description.abstract	With the development of unconventional resources the standard task of evaluation the porosity and oil saturation needs new approach. Heavy oil and bitumen can act as cement in many sand reservoirs, which excludes the use of standard measuring techniques. A new method for estimating the porosity and oil saturation of heavy oil reservoirs, based on wavelet X-ray computed tomography histogram analysis, was proposed. Its advantages are the ability to work with loose sand reservoirs, for which it is not possible to use standard assessment methods. A comparative analysis of the proposed method with a standard method for estimating porosity based on sample saturation with kerosene showed that the values of the porosity coefficient in the tomography resolution range 5-15 μm differed by 3-7% in the direction of the wavelet analysis method. This effect is due to the presence of transient voxels-mixels.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Computerized tomography	ru_RU
dc.subject	Crude oil	ru_RU
dc.subject	Graphic methods	ru_RU
dc.subject	Oil fields	ru_RU
dc.subject	Petroleum reservoir engineering	ru_RU
dc.subject	Petroleum reservoirs	ru_RU
dc.subject	Porosity	ru_RU
dc.subject	Resource valuation	ru_RU
dc.subject	Thermal oil recovery	ru_RU
dc.subject	Wavelet analysis	ru_RU
dc.subject	X rays	ru_RU
dc.title	Natural heavy oil reservoirs porosity and saturation coefficients estimation based on wavelet analysis of X-Ray computed tomography histogram	ru_RU
dc.type	Conference proceedings in Russian journals and collections	ru_RU