[1] White D A. Oil and gas play maps in exploration and assessment[J]. AAPG Bulletin, 1988,72(8):944-949.
[2] White D A. Geologic risking guide for prospects and plays[J].AAPG Bulletin, 1993,77(12):2048-2061.
[3] 付小东,张金区,王云鹏,等. 基于网格与GIS 的油气资源空间分布与定量评价系统及其应用[J]. 地质科技情报,2006,25(5):69-74.
Fu Xiaodong, Zhang Jinqu, Wang Yunpeng, et al . Oil and gas resources spatial distribution and quantitative evaluation system based on the grids and GIS and its application[J]. Geological Science and Technology Information, 2006,25(5):69-74.
[4] 胡素云,郭秋麟,谌卓恒,等. 油气空间分布预测方法[J]. 石油勘探与开发,2007,34(1):113-117.
Hu Suyun, Guo Qiulin, Chen Zhuoheng, et al . A method of predicting petroleum resource spatial distribution and its application[J]. Petroleum Exploration and Development, 2007,34(1):113-117.
[5] 郭秋麟,谢红兵,米石云,等. 油气资源分布的分形特征及应用[J].石油学报,2009,30(3):379-385.
Guo Qiulin, Xie Hongbing, Mi Shiyun, et al . Fractal model for petroleum resource distribution and its application[J]. Acta Petrolei Sinica, 2009,30(3):379-385.
[6] Olea R A, Cook T A, Coleman J L. A methodology for the assessment of unconventional (continuous) resources with an application to the greater natural buttes gas field, Utah[J].Natural Resources Research, 2010,19(4):237-251.
[7] 李军,杨晓娟,张晓龙,等. 基于三维马尔可夫链模型的岩性随机模拟[J]. 石油学报,2012,33(5):846-853.
Li Jun, Yang Xiaojuan, Zhang Xiaolong, et al . Lithologic stochastic simulation based on the three-dimensional Markov chain model[J]. Acta Petrolei Sinica, 2012,33(5):846-853.
[8] Chen Z H, Osadetz K G. An assessment of tight oil resource potential in Upper Cretaceous Cardium Formation, western Canada sedimentary basin[J]. Petroleum Exploration and Development, 2013,40(3):320-328.
[9] 庞敏,吴欣桐,梁琳. 基于贝叶斯概率的页岩气开发投资决策研究[J].统计与决策,2014(19):63-65.
Pang Min, Wu Xintong, Liang Lin. Research on investment decision-making in shale gas development based on Bayesian probability[J]. Statistics and Decision-Making, 2014(19):63-65.
[10] 王泽龙,刘先贵,李志勇,等. 基于贝叶斯理论的四维地震与生产动态数据的油藏历史拟合新方法[J]. 石油科技论坛,2022,41(2):9-22.
Wang Zelong, Liu Xiangui, Li Zhiyong, et al . A novel Bayesian-based reservoir history matching method for 4D seismic and production data[J]. Petroleum Science and Technology Forum, 2022,41(2):9-22.
[11] 王宜林,赵文智,杜金虎,等. 中国石油风险勘探工程决策管理与实施成效[J]. 中国石油勘探,2021,26(1):1-16.
Wang Yilin, Zhao Wenzhi, Du Jinhu, et al . CNPC: decision management and implementation results of venture exploration projects[J]. China Petroleum Exploration, 2021,26(1):1-16.
[12] 杨丽娜,解国军. 概率论和数理统计在油气资源评价中的应用[J]. 内蒙古石油化工,2016,42(4):121-124.
Yang Lina, Xie Guojun. Application of probability theory and mathematical statistics in oil and gas resource assessment[J].Inner Mongolia Petrochemical Industry, 2016,42(4):121-124.
[13] Peel F J, Brooks J R V. A practical guide to the use of success versus failure statistics in the estimation of prospect risk[J]. AAPG Bulletin, 2016,100(2):137-150.
[14] Fanailoo P, Clemens J. Application of Bayesian networks for estimating risk in shale operations[C]//Unconventional Resources Technology Conference, Society of Exploration Geophysicists,American Association of Petroleum Geologists, Society of Petroleum Engineers, 2016:1776-1782.
[15] 盛秀杰,金之钧,肖晔. 区带勘探中的油气资源评价方法[J]. 石油与天然气地质,2017,38(5):983-992.
Sheng Xiujie, Jin Zhijun, Xiao Ye. Petroleum resources assessment methodology in play exploration stages[J]. Oil & Gas Geology, 2017,38(5):983-992.
[16] Lilleborge M, Hauge R, Eidsvik J. Information gathering in Bayesian networks applied to petroleum prospecting[J].Mathematical Geosciences, 2016,48(3):233-257.
[17] Martinelli G, Eidsvik J, Hauge R, et al . Bayesian networks for prospect analysis in the north Sea[J]. AAPG Bulletin, 2011,95(8):1423-1442.
[18] Van Wees J D, Mijnlieff H, Lutgert J, et al . A Bayesian belief network approach for assessing the impact of exploration prospect interdependency: an application to predict gas discoveries in the Netherlands[J]. AAPG Bulletin, 2008,92(10):1315-1336.
[19] de Lucena B R D, Lustosa L J. Bayesian approach to the assessment of geological risk in oil and gas exploration[J].International Journal for Innovation Education and Research,2020,8(7):203-210.
[20] Ren H J, Wang X C, Guo Q L, et al . Spatial prediction of oil and gas distribution using tree augmented Bayesian network[J].Computers & Geosciences, 2020,142:104518.
[21] Bielza C, Larranaga P. Discrete Bayesian network classifiers: a survey[J]. ACM Computing Surveys (CSUR), 2014,47(1):1-43.
[22] Wang X, Ren H, Guo X. A novel discrete firefly algorithm for Bayesian network structure learning[J]. Knowledge-Based Systems, 2022,242:108426.
[23] Friedman N, Geiger D, Goldszmidt M. Bayesian network classifiers[J]. Machine Learning, 1997,29 (2):131-163.
[24] Sahami M. Learning limited dependence Bayesian classifiers[C].Menlo Park: AAAI Press, 1996:335-338.
[25] Webb G I, Boughton J R, Wang Z. Not so naive Bayes:aggregating one-dependence estimators[J]. Machine Learning,2005,58(1):5-24.
[26] 王小军,宋永,郑孟林,等. 准噶尔盆地复合含油气系统与复式聚集成藏[J]. 中国石油勘探,2021,26(4):29-43.
Wang Xiaojun, Song Yong, Zheng Menglin, et al . Composite petroleum system and multi-stage hydrocarbon accumulation in Junggar Basin[J]. China Petroleum Exploration, 2021,26(4):29-43. |