DOI: | 10.1306/02271413028
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Scopus记录号: | 2-s2.0-84908420424
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论文题名: | Automatic calibration of stratigraphie forward models for predicting reservoir presence in exploration |
作者: | Falivene O.; Frascati A.; Gesbert S.; Pickens J.; Hsu Y.; Rovira A.
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刊名: | AAPG Bulletin
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ISSN: | 0149-1608
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EISSN: | 1558-9338
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出版年: | 2014
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发表日期: | 2014
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卷: | 98, 期:9 | 起始页码: | 1811
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结束页码: | 1835
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语种: | 英语
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Scopus关键词: | Automatic calibration
; Forward models
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Scopus学科分类: | Energy
; Earth and Planetary Sciences
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英文摘要: | Understanding and predicting reservoir presence and characteristics at regional to basin scales is important for evaluating risk and uncertainty in hydrocarbon exploration. Simulating reservoir distribution within a basin by a stratigraphie forward model enables the integration of available prior information with fundamental geologic processes embedded in the numerical model. Stratigraphie forward model predictions can be significantly improved by calibrating the models to independent constraints, such as thicknesses from seismic or well data. A three-dimensional basin-scale stratigraphie forward-modeling tool is coupled with an inversion algorithm. The inversion algorithm is a modification of the neighborhood algorithm (a type of genetic algorithm), which is designed to sample complex multimodal objective functions and is parallelized on computer clusters to accelerate convergence. The process generates a set of representative geological models that are consistent with prior ranges for uncertain parameters, calibration constraints, and associated tolerance thresholds. The workflow is first demonstrated on two data sets: a synthetic example based on a clastic passive margin and a real hydrocarbon exploration example for slope and basin-floor stratigraphie traps in the Neocomian (Lower Cretaceous) of the West Siberian Basin. The analysis of calibrated models provides constraints on stratigraphie controls, and allows prediction of locations with higher potential to develop stratigraphie traps. These locations are related to complex interactions between pale-obathymetry, subsidence, eustatic fluctuations, characteristics of sediment-input sources, and sediment-transport parameters. Results show the potential of stratigraphie forward modeling combined with inverse methods as an additional tool to support conventional play-based exploration and reservoir-presence prediction. Copyright © 2014. The American Association of Petroleum Geologists. All rights reserved. |
URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908420424&doi=10.1306%2f02271413028&partnerID=40&md5=846918a9d36b9ccb07a65306bbb7cd33
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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/13178
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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: |
Falivene O.,Frascati A.,Gesbert S.,et al. Automatic calibration of stratigraphie forward models for predicting reservoir presence in exploration[J]. AAPG Bulletin,2014-01-01,98(9)
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