| DOI: | 10.1306/01221514195
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| Scopus记录号: | 2-s2.0-84938765063
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| 论文题名: | Mineral-chemistry quantification and petrophysical calibration for multimineral evaluations: A nonlinear approach |
| 作者: | McCarty D.K.; Theologou P.N.; Fischer T.B.; Derkowski A.; Stokes M.R.; Ollila A.
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| 刊名: | AAPG Bulletin
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| ISSN: | 0149-1488
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| EISSN: | 1558-9218
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| 出版年: | 2015
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| 发表日期: | 2015
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| 卷: | 99, 期:7 | | 起始页码: | 1371
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| 结束页码: | 1379
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| 语种: | 英语
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| Scopus关键词: | Calibration
; Hydrocarbon refining
; Trace elements
; X ray diffraction
; Element associations
; Major and trace elements
; Optimization software
; Petrophysical models
; Petrophysical parameters
; Quantitative measurement
; Quantitative phase analysis
; Sample preparation methods
; Minerals
; calibration
; core analysis
; geochemistry
; hydrocarbon
; mudstone
; optimization
; petrology
; quantitative analysis
; trace element
; uncertainty analysis
; X-ray diffraction
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| Scopus学科分类: | Energy
; Earth and Planetary Sciences
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| 英文摘要: | The mineralogical complexity of mudstone reservoirs has led to the increased usage of multimineral optimizing petrophysical models for estimating porosity, water, and hydrocarbon volumes. A key uncertainty in these models is the log response parameter assigned for each log equation related to each volumetric variable. Default parameter values are commonly used and often need to be modified by considering subjective local knowledge or intuition to achieve a result that is considered acceptable. This paper describes the methods developed at Chevron for calibration of mineral log response parameters using core data. Mineral log response parameters are controlled by the major and trace element chemistry of the individual minerals in the formation rock matrix. BestRock™ uses a nonlinear approach to optimize whole-rock chemistry with mineralogy to calculate individual mineral structural formulas and trace element associations from which certain log response parameters can then be calculated. Accurate quantitative phase analysis (QPA) to determine mineral content is a critical step in the process, which is achieved here by rigorous sample preparation methods and QPA by x-ray diffraction (QXRD). The QXRD in combination with whole-rock elemental analyses are processed using Chevron's BestRock optimization software to provide refined quantities of the mineral species present in the formation, their structural formulas, and their predicted wireline log responses. Calibrated petrophysical models are built from the information obtained from the QXRD and BestRock results. The method described herein provides an independent and robust method for determining petrophysical parameters that is independent of the interpreter, quick to implement, and supported by quantitative measurements. Copyright ©. The American Association of Petroleum Geologists. All rights reserved. |
| URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938765063&doi=10.1306%2f01221514195&partnerID=40&md5=617ae9d358cbc2af24d687a602168d27
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| Citation statistics: |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/13059
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| Appears in Collections: | 过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响
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| Recommended Citation: | |
McCarty D.K.,Theologou P.N.,Fischer T.B.,et al. Mineral-chemistry quantification and petrophysical calibration for multimineral evaluations: A nonlinear approach[J]. AAPG Bulletin,2015-01-01,99(7)
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