-
摘要: 三维地质模型在地质找矿和资源评价等应用中具有重要作用，模型质量直接决定模型的应用潜力及应用成效。本文综述了国内外三维地质模型质量评估研究进展，系统阐述了影响三维地质模型质量的因素，包括建模地质对象复杂程度、建模数据源精度与质量、三维地质建模方法、建模人员专家知识等。同时，对当前主要的三维地质模型质量评估方法原理和优缺点进行了分析，认为三维地质模型质量评估已经从定性评估逐步进入定量评估时代。最后，总结了三维地质模型质量评估方法相关研究存在的问题，并且探讨了其未来发展趋势。Abstract: Three-dimensional geological model plays an important role in geological prospecting and resource evaluation, and its quality determines the application potential and effect of the model.This paper reviews the research progress of 3D geological model quality evaluation at home and abroad, and systematically expounds the factors that affect the quality of 3D geological model, including the complexity of modeling geological objects, the accuracy and quality of modeling data sources, the methods of 3D geological modeling, and the expert knowledge of modeling personnel.At the same time, the paper analyzes the principle, advantages and disadvantages of the main methods of quality evaluation of 3D geological models, and holds that the quality evaluation of 3D geological models has gradually entered the era of quantitative evaluation from qualitative evaluation.Finally, this paper summarizes the problems existing in the research of 3D geological model quality assessment methods, and discusses its future development trend.
-
Key words:
- 3D geological model /
- model uncertainty /
- model quality /
- evaluation methods /
- influencing factors
-
-
[1] S.HOULDING.3D Geoscience Modeling: Computer Techniques for Geological Characterization[M].Spring-Verlag, 1994.
[2] 姜作勤.发达国家三维地质建模的现状与发展趋势[J].地质调查动态,2016(17).
[3] 马震,黄庆彬,林良俊,等.雄安新区多要素城市地质调查实践与应用[J].华北地质,2022,45(01):58-68.
[4] 梁栋.三维地质模型不确定性分析方法研究[D].中国地质大学,2021.
[5] 朱良峰,吴信才,潘信.三维地质结构模型精度评估理论与误差修正方法研究[J].地学前缘,2009,16(04):363-371.
[6] POMIAN-SRZEDNICKI I.Calculation of geological uncertainties associated with 3-D geological models[J].EPFL,2001.
[7] TACHER L, POMIAN-SRZEDNICKI I, PARRIAUX A.Geological uncertainties associated with 3-D subsurface models[J].Computers & Geosciences, 2006, 32(2): 212-221.
[8] YAMAMOTO J.An Alternative Measure of the Reliability of Ordinary Kriging Estimates[J].Mathematical Geology,2000,32:489-509.
[9] AUG C, CHILÈS J P, COURRIOUX G, et al.3D Geological Modelling and Uncertainty: The Potential-field Method[M].Quant.Geol.Geostatistics,2005,14:145-154.
[10] AUG C.Modelling the Geometry of Geological Units and its Uncertainty in 3D From Structural Data: The Potential-Field Method[J].R.Dimitrakopoulos S.Ramazan(eds.), Proc.of International Symposium on Orebody modelling and strategic mine planning, Perth, 2004.
[11] LI S, ROUSSOS D.Quantification and assessment of fault uncertainty and risk using stochastic conditional simulations[J].Journal of Coal Science and Engineering, 2002, 8.
[12] LI S, SCOTT J, DUNN D.Quantification of geological uncertainty and risk using stochastic simulation and applications in the coal mining industry[J].Australasian Institute of Mining and metallurgy Spectrum Series, 2007.
[13] LI S XING, KNIGHTS P, DUNN D.Geological uncertainty and risk: implications for the viability of mining projects[J].Journal of Coal Science and Engineering(China), 2008, 14(2):176.
[14] PAKYUZ-CHARRIER E J, LINDSAY M D, OGARKO V, et al.Monte Carlo Simulations for Uncertainty Estimation in 3D Geological Modeling, A Guide for Disturbance Distribution Selection and Parameterization[J].Solid Earth, 2018, 9:385-402.
[15] PAKYUZ-CHARRIER E, GIRAUD J, OGARKO V, et al.Drillhole uncertainty propagation for three-dimensional geological modeling using Monte Carlo[J].Tectonophysics, 2018, 747-748:16-39.
[16] WELLMANN J F, REGENAUER-LIEB K.Uncertainties have a meaning: Information entropy as a quality measure for 3-D geological models[J].Tectonophysics, 2012, 526-529:207-216.
[17] WELLMANN J F.Information Theory for Correlation Analysis and Estimation of Uncertainty Reduction in Maps and Models[J].Entropy, 2013, 15(4):1464-1485.
[18] SCHWEIZER D, BLUM P, BUTSCHER C.Uncertainty assessment in 3-D geological models of increasing complexity[J].Solid Earth, 2017, 8(2):515-530.
[19] 崇仁杰,于兴河.储层三维地质建模质量控制的关键点[J].海洋地质前沿,2011,27(07):64-69.
[20] 孙业恒.油藏地质模型质量控制与验证方法[J].断块油气田,2011,18(01):43-46.
[21] 徐传龙.三维地质建模质量控制方法及应用[J].辽宁化工,2014,43(08):1082-1085.
[22] 张洋洋,郭敏,刘志慧,等.油藏三维地质模型质量控制研究--以D 油田E 块为例[J].天然气与石油,2020,38(01):65-71.
[23] 李楠,李苍柏,宋相龙,等.一种三维地质几何模型不确定性评价方法[J].2018年中国地球科学联合学术年会论文集(四十三)--专题93:超深层(油气)重磁电震勘探技术、专题94:深部预测方法,2018:91-93.
[24] 王鹏飞,高振南,李俊飞,等.基于数理统计方法的地质模型不确定性评价[J].地质科技情报,2019,38(02):291-296.
[25] 杨建民,权勃,张文童,等.基于蒙特卡洛模拟的三维地质模型不确定性分析[J].断块油气田,2020,27(03):309-312.
[26] 范春玉,曾玉清,毛寅,等.丘陵地区复杂三维城市地质模型精度评价研究--以长株潭城市群核心区为例[J].中国金属通报,2020,(02):84-85+87.
[27] 李章林,吴冲龙,张夏林,等.东胜煤田北部地段3D 煤层模型的动态构建及不确定性评估[J].地球科学(中国地质大学学报),2014,39(10):1498-1506.
[28] 刘光伟,宋佳琛,白润才,等.基于C-F 方法三维地质模型精度评价研究[J].煤炭科学技术,2017,45(11):192-198.
[29] 殷大发.煤矿三维地质模型精度评价及动态更新技术探讨[J].煤矿开采,2018,23(04):20-24.
[30] 谭学群,刘云燕,周晓舟,等.复杂断块油藏三维地质模型多参数定量评价[J].石油勘探与开发,2019,46(01):185-194.
[31] 张庆龙,刘磊,贾志伟,等.复杂断块油藏三维地质模型的多级定量评价[J].西南石油大学学报(自然科学版),2021,43(03):61-70.
[32] 武强,徐华.数字矿山中三维地质建模方法与应用[J].中国科学:地球科学,2013,43(12):1996-2006.
[33] 姬广军,张永波,朱吉祥,等.三维地质建模精度影响因素及质量控制[J].桂林理工大学学报,2020,40(01):85-94.
[34] 陈昌彦,张李节,王思敬,等.断裂构造研究进展对工程地质学的启示[J].地质论评,2002(05):487-494.
[35] 自然资源部中国地质调查局.三维地质模型元数据[R].2019.
[36] 刘少华,肖克炎,王新海.地质三维属性建模及其可视化[J].地质通报,2010,29(10):1554-1557.
[37] 陈兵,朱泳标,张燕.基于EVS 的三维地质建模研究[J].高速铁路技术,2020,11(06):6-10+18.
[38] 何登发,杨庚,管树巍,等.前陆盆地构造建模的原理与基本方法[J].石油勘探与开发,2005,(03):7-14.
[39] 郭甲腾,吴立新,周文辉.基于径向基函数曲面的矿体隐式自动三维建模方法[J].煤炭学报,2016,41(08):2130-2135.
[40] LARK R M, MATHERS S J, THORPE S, et al.A statistical assessment of the uncertainty in a 3-D geological framework model[J].Proceedings of the Geologists’Association, 2013, 124(6):946-958.
[41] LARK R M, THORPE S, KESSLER H, et al.Interpretative modelling of a geological cross section from boreholes:sources of uncertainty and their quantification[J].Solid Earth, 2014, 5(2):1189-1203.
[42] 王兰化,张莺.层次分析-熵值定权法在城市建设用地适宜性评价中的应用[J].地质调查与研究,2011,34(04):305-312.
[43] 武强,徐华.虚拟地质建模与可视化[M].科学出版社,2011.
-
计量
- 文章访问数: 53
- PDF下载数: 41
- 施引文献: 0
下载: