A rock physics modelling algorithm for simulating the elastic parameters of shale using well logging data

Abstract As a high-resolution geophysical method employed by the oil and gas industry, well logging can be used to accurately investigate reservoirs. Challenges associated with shale gas reservoir exploration increase the importance of applying elastic parameters or velocity at the logging scale. An...

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Autores principales:	Bing Wang, Yurong Chen, Jing Lu, Wujun Jin
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b41b7626974944479ad07f899e8445df
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id	oai:doaj.org-article:b41b7626974944479ad07f899e8445df
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spelling	oai:doaj.org-article:b41b7626974944479ad07f899e8445df2021-12-02T15:08:17ZA rock physics modelling algorithm for simulating the elastic parameters of shale using well logging data10.1038/s41598-018-29755-22045-2322https://doaj.org/article/b41b7626974944479ad07f899e8445df2018-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-29755-2https://doaj.org/toc/2045-2322Abstract As a high-resolution geophysical method employed by the oil and gas industry, well logging can be used to accurately investigate reservoirs. Challenges associated with shale gas reservoir exploration increase the importance of applying elastic parameters or velocity at the logging scale. An efficient shale rock physics model is the foundation for the successful application of this method. We propose a procedure for modelling shale rock physics in which an appropriate modelling method is applied for different compositions of shale rock. The stiffnesses of the kerogen and fluid (oil, gas or water) mixture are obtained with the Kuster-Toksöz model, which assumes that the fluid is included in the kerogen matrix. A self-consistent approximation method is used to model clay, where the clay pores are filled with formation water. The Backus averaging model is then used to simulate the influence of laminated clay and laminated kerogen. Elastic parameter simulations using well logging data show the importance of treating the volume fractions of laminated clay and kerogen carefully. A comparison of the measured compressional slowness and modelled compressional slowness shows the efficiency of the proposed modelling procedure.Bing WangYurong ChenJing LuWujun JinNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-8 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Bing Wang Yurong Chen Jing Lu Wujun Jin A rock physics modelling algorithm for simulating the elastic parameters of shale using well logging data
description	Abstract As a high-resolution geophysical method employed by the oil and gas industry, well logging can be used to accurately investigate reservoirs. Challenges associated with shale gas reservoir exploration increase the importance of applying elastic parameters or velocity at the logging scale. An efficient shale rock physics model is the foundation for the successful application of this method. We propose a procedure for modelling shale rock physics in which an appropriate modelling method is applied for different compositions of shale rock. The stiffnesses of the kerogen and fluid (oil, gas or water) mixture are obtained with the Kuster-Toksöz model, which assumes that the fluid is included in the kerogen matrix. A self-consistent approximation method is used to model clay, where the clay pores are filled with formation water. The Backus averaging model is then used to simulate the influence of laminated clay and laminated kerogen. Elastic parameter simulations using well logging data show the importance of treating the volume fractions of laminated clay and kerogen carefully. A comparison of the measured compressional slowness and modelled compressional slowness shows the efficiency of the proposed modelling procedure.
format	article
author	Bing Wang Yurong Chen Jing Lu Wujun Jin
author_facet	Bing Wang Yurong Chen Jing Lu Wujun Jin
author_sort	Bing Wang
title	A rock physics modelling algorithm for simulating the elastic parameters of shale using well logging data
title_short	A rock physics modelling algorithm for simulating the elastic parameters of shale using well logging data
title_full	A rock physics modelling algorithm for simulating the elastic parameters of shale using well logging data
title_fullStr	A rock physics modelling algorithm for simulating the elastic parameters of shale using well logging data
title_full_unstemmed	A rock physics modelling algorithm for simulating the elastic parameters of shale using well logging data
title_sort	rock physics modelling algorithm for simulating the elastic parameters of shale using well logging data
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/b41b7626974944479ad07f899e8445df
work_keys_str_mv	AT bingwang arockphysicsmodellingalgorithmforsimulatingtheelasticparametersofshaleusingwellloggingdata AT yurongchen arockphysicsmodellingalgorithmforsimulatingtheelasticparametersofshaleusingwellloggingdata AT jinglu arockphysicsmodellingalgorithmforsimulatingtheelasticparametersofshaleusingwellloggingdata AT wujunjin arockphysicsmodellingalgorithmforsimulatingtheelasticparametersofshaleusingwellloggingdata AT bingwang rockphysicsmodellingalgorithmforsimulatingtheelasticparametersofshaleusingwellloggingdata AT yurongchen rockphysicsmodellingalgorithmforsimulatingtheelasticparametersofshaleusingwellloggingdata AT jinglu rockphysicsmodellingalgorithmforsimulatingtheelasticparametersofshaleusingwellloggingdata AT wujunjin rockphysicsmodellingalgorithmforsimulatingtheelasticparametersofshaleusingwellloggingdata
_version_	1718388207285960704

A rock physics modelling algorithm for simulating the elastic parameters of shale using well logging data

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