Relations Between Vitrinite Reflectance, Peek Temperature and its Neighboring Temperature Variation Rate: A Comparison of Methods
2005; Wiley; Volume: 48; Issue: 6 Linguagem: Inglês
10.1002/cjg2.793
ISSN2326-0440
AutoresWei Wang, Zhu-Yi ZHOU, Peng Yu,
Tópico(s)Geological Studies and Exploration
ResumoChinese Journal of GeophysicsVolume 48, Issue 6 p. 1443-1453 Article Relations Between Vitrinite Reflectance, Peek Temperature and its Neighboring Temperature Variation Rate: A Comparison of Methods Wei WANG, Wei WANG ww200211@sohu.com Search for more papers by this authorZhu-Yi ZHOU, Zhu-Yi ZHOUSearch for more papers by this authorPeng YU, Peng YUSearch for more papers by this author Wei WANG, Wei WANG ww200211@sohu.com Search for more papers by this authorZhu-Yi ZHOU, Zhu-Yi ZHOUSearch for more papers by this authorPeng YU, Peng YUSearch for more papers by this author First published: 31 May 2013 https://doi.org/10.1002/cjg2.793Citations: 5AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Abstract Simplified models for three existing VR models (i.e. Middleton model, Waples model and Easy%Ro model) are obtained through Monte Carlo Method. These simplified models show that VR value is mainly determined by peak temperature (Tmax), and is related to the temperature variation rate around peak temperature (Hr). By comparing these simplified models, it is found that Waples model and Middleton model are more sensitive to Hr than Easy%Ro model, and, for the same value of VR, Middleton model predicts the highest peak temperatures, Waples model the lowest and Easy%Ro model in-between. These simplified models can be employed to interpret real VR data set to obtain peak temperature that a stratum has experienced since deposition, and the thermal gradient, heat flow and time when the stratum experienced this peak temperature. Interpretation of VR data from the Inigok 1 well in the North Slope in Alaska indicates that poorly constrained data, such as thermal conductivity, may lead to errors. But these errors can be analyzed and quantified. However, the uncertainties of Hr may lead to non-uniqueness in the interpretation. Citing Literature Volume48, Issue6November 2005Pages 1443-1453 RelatedInformation
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