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A novel method to estimate mineral compositions of mudrocks: A case study for the Canadian unconventional petroleum systems
Affiliation:1. State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Beijing, 100083, China;2. Geological Survey of Canada, Calgary, Alberta, T2L 2A7, Canada;3. Department of Geoscience, University of Calgary, Calgary, Alberta, T2N 1N4, Canada;1. School of Safety Engineering, China University of Mining & Technology, Xuzhou 221116, China;2. Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing 210096, China;3. State Key Laboratory of Coal Resources and Safe Mining, China University of Mining & Technology, Xuzhou 221116, China;1. The Wayne H. King Department of Chemical and Natural Gas Engineering, Texas A&M University-Kingsville, 700 University Blvd., Kingsville, TX 78363-8202, USA;2. Petroleum and Geosystems Engineering Department, The University of Texas at Austin, 200 E. Dean Keeton St., Stop C0300, Austin, TX 78712-1585, USA;3. ANY Reservoir, LLC 813 N. Main St. Suite 518, Mc Allen, TX 78501, USA;1. Key Laboratory of Petroleum Resources, Gansu Province/Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, 382 West Donggang Road, Lanzhou 730000, PR China;2. Department of Earth and Environmental Sciences, University of Ottawa, 25 Templeton St., Ottawa, Ontario, K1N 6N5, Canada;3. Key Laboratory of Earth and Planetary Physics, Institute of Geology and Geophysics, Chinese Academy of Sciences, 19 Beitucheng Xilu, Beijing 100029, PR China;4. Key Laboratory of Renewable Energy and Gas Hydrate, Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, PR China;5. Beijing Synchrotron Radiation Facility, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, PR China;1. Centre for Transport Studies, Imperial College London, Skempton Building, South Kensington SW7 2AZ, United Kingdom;2. Dep’t. of Geography, SUNY New Paltz, South Faculty Building #110, New Paltz, NY 12561, United States;3. School of Logistics, Southwest Jiaotong University, 111 N. 1st Section, 2nd Ring Road, 610031, Chengdu, PR China
Abstract:The mineral composition of mudrocks is an essential attribute in controlling the reservoir quality of unconventional petroleum systems. The present study introduces a semi-quantitative method to estimate mineral phases of mudrocks in various Canadian unconventional hydrocarbon systems using total elemental analysis (inductively coupled plasma-mass spectrometry (ICP-MS)) and Rock-Eval data (total organic carbon (TOC) and mineral carbon (MinC)).This method involves statistical analysis based on a sound knowledge of hydrocarbon source rock inorganic geochemistry. The workflow can be divided into four steps: (i) converting major elements (Si, Al, Fe, K, Na, Ca, Mg, Ti, and P) to their oxides, (ii) inferring modes of occurrence of elements using statistical analysis of geochemical data (major elements, TOC, and MinC), (iii) identifying the mineral types (oxide, aluminosilicates, carbonates, sulfide, and phosphate) according to elemental occurrences and calculating mineral phase concentrations, and (iv) verifying the results by comparing to XRD data on selected samples. The results, especially for brittle minerals such as quartz, carbonates (e.g. calcite, dolomite, and ankerite), and pyrite, show that the estimated mineral compositions correspond closely and consistently with measured mineralogy obtained from XRD. This method takes advantage of bulk geochemical data already available for hydrocarbon potential and chemostratigraphic studies, without devoting additional samples and cost for XRD analysis.
Keywords:Mineral phase  Major elements  Total organic carbon  Mudrocks  Unconventional petroleum  Canada  Rock-Eval  X-ray diffraction (XRD)  Geochemistry
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