By correcting both the positive and negative separation resulting from the resistivity in organic-deficient shales, the traditional correlation is modified, validated, and applied to determine the total organic carbon (TOC) content in shale formations. The TOC content is determined once the Fisher distribution, which represents the significance of each model, and Student's t-distribution, which denotes the significance of every variable in the models, have achieved values equal to or higher than their respective threshold values at a confidence level of 95%. Using a total of 45 sets of logging measurements, the newly proposed correlation is found to be able to reproduce the measured TOC values with a root mean-squared absolute difference (RMSAD) of 0.30 wt % and root mean-squared relative difference (RMSRD) of 23.8%, respectively. Uranium concentration, apart from interval transit time and resistivity, is found to be key in determining the TOC content in organic-rich shale without other radioactive minerals. By combining the reading of DGR (i.e., the difference between the spectral gamma ray with the radioactivity and the computed gamma ray without uranium), the traditional technique has now been improved and extended to the negative separation resulting from the resistivity in organic-deficient shale higher than that in organic-rich shale.
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January 2019
Research-Article
Determination of Total Organic Carbon Content in Shale Formations With Regression Analysis
Jianguo Wang,
Jianguo Wang
College of Petroleum Engineering,
China University of Petroleum (Beijing),
Beijing 102249, Changping, China;
Petroleum Systems Engineering,
Faculty of Engineering and
Applied Science,
University of Regina,
Regina, SK S4S 0A2, Canada
China University of Petroleum (Beijing),
Beijing 102249, Changping, China;
Petroleum Systems Engineering,
Faculty of Engineering and
Applied Science,
University of Regina,
Regina, SK S4S 0A2, Canada
Search for other works by this author on:
Daihong Gu,
Daihong Gu
College of Petroleum Engineering,
China University of Petroleum (Beijing),
Beijing 102249, Changping, China
China University of Petroleum (Beijing),
Beijing 102249, Changping, China
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Wei Guo,
Wei Guo
Research Institute of Petroleum
Exploration and Development,
PetroChina,
Beijing 100083, Haidian, China
Exploration and Development,
PetroChina,
Beijing 100083, Haidian, China
Search for other works by this author on:
Haijie Zhang,
Haijie Zhang
Chongqing Shale Gas Exploration and
Development Company Limited,
PetroChina,
Chongqing 401121, China
Development Company Limited,
PetroChina,
Chongqing 401121, China
Search for other works by this author on:
Daoyong Yang
Daoyong Yang
Petroleum Systems Engineering,
Faculty of Engineering and Applied Science,
University of Regina,
Regina, SK S4S 0A2, Canada
e-mail: tony.yang@uregina.ca
Faculty of Engineering and Applied Science,
University of Regina,
Regina, SK S4S 0A2, Canada
e-mail: tony.yang@uregina.ca
Search for other works by this author on:
Jianguo Wang
College of Petroleum Engineering,
China University of Petroleum (Beijing),
Beijing 102249, Changping, China;
Petroleum Systems Engineering,
Faculty of Engineering and
Applied Science,
University of Regina,
Regina, SK S4S 0A2, Canada
China University of Petroleum (Beijing),
Beijing 102249, Changping, China;
Petroleum Systems Engineering,
Faculty of Engineering and
Applied Science,
University of Regina,
Regina, SK S4S 0A2, Canada
Daihong Gu
College of Petroleum Engineering,
China University of Petroleum (Beijing),
Beijing 102249, Changping, China
China University of Petroleum (Beijing),
Beijing 102249, Changping, China
Wei Guo
Research Institute of Petroleum
Exploration and Development,
PetroChina,
Beijing 100083, Haidian, China
Exploration and Development,
PetroChina,
Beijing 100083, Haidian, China
Haijie Zhang
Chongqing Shale Gas Exploration and
Development Company Limited,
PetroChina,
Chongqing 401121, China
Development Company Limited,
PetroChina,
Chongqing 401121, China
Daoyong Yang
Petroleum Systems Engineering,
Faculty of Engineering and Applied Science,
University of Regina,
Regina, SK S4S 0A2, Canada
e-mail: tony.yang@uregina.ca
Faculty of Engineering and Applied Science,
University of Regina,
Regina, SK S4S 0A2, Canada
e-mail: tony.yang@uregina.ca
1Corresponding author.
Contributed by the Petroleum Division of ASME for publication in the JOURNAL OF ENERGY RESOURCES TECHNOLOGY. Manuscript received April 25, 2018; final manuscript received June 12, 2018; published online August 9, 2018. Editor: Hameed Metghalchi.
J. Energy Resour. Technol. Jan 2019, 141(1): 012907 (15 pages)
Published Online: August 9, 2018
Article history
Received:
April 25, 2018
Revised:
June 12, 2018
Citation
Wang, J., Gu, D., Guo, W., Zhang, H., and Yang, D. (August 9, 2018). "Determination of Total Organic Carbon Content in Shale Formations With Regression Analysis." ASME. J. Energy Resour. Technol. January 2019; 141(1): 012907. https://doi.org/10.1115/1.4040755
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