基于机器学习的火山岩岩性智能识别及预测

doi:10.3969/j.issn.1006-6535.2022.01.006

摘要/Abstract

摘要： 针对准噶尔盆地金龙2井区佳木河组火山岩油气藏岩性多变,常规方法难以准确识别的问题,利用机器学习中的决策树、随机森林、梯度提升树、贝叶斯4种算法对研究区岩性进行智能识别,在分析研究区火山岩储层地质特点的基础上,结合不同岩性测井响应特征,确定M、N等8个对火山岩岩性极为敏感的特征参数。研究结果表明:随机森林法模型最优,准确率达到90%以上,模型泛化能力最强,可作为利用常规测井曲线识别火山岩岩性的有效方法。该模型可以高精度地进行火山岩岩性识别及预测,为后续火山岩油藏的勘探与开发奠定基础。

关键词: 火山岩, 岩性特征, 机器学习, 智能识别, 决策树, 随机森林

Abstract: To address the problem that the lithology of the volcanic reservoirs of Jiamuhe Formation in Well Block Jinlong 2, Junggar Basin is variable and difficult to be accurately identified by conventional methods, four algorithms in machine learning, including decision tree, random forest, gradient boosting tree and Bayes, were adopted to intelligently identify the lithology of the study area, and then determine eight characteristics parameters such as M and N, which are extremely sensitive to the lithology of volcanic rocks based on the analysis of the geological characteristics of volcanic reservoirs in the study area and the logging response characteristics of different lithologies. The results of the study proved that the random forest method was preferred with the best model, an accuracy rate of more than 90% and the highest model generalization. It was an effective method to identify volcanic rock lithology based on conventional logging curves. According to this study, the volcanic rock lithology can be identified and predicted with a high precision, laying a foundation for subsequent exploration and development of volcanic rock reservoirs.

Key words: volcanic rock, lithological characteristics, machine learning, intelligent recognition, decision tree, random forest

中图分类号:

TE312

刘凯, 邹正银, 王志章, 蒋庆平, 常天全, 王伟方, 杨笑. 基于机器学习的火山岩岩性智能识别及预测[J]. 特种油气藏, 2022, 29(1): 38-45.

Liu Kai, Zou Zhengyin, Wang Zhizhang, Jiang Qingping, Chang Tianquan, Wang Weifang, Yang Xiao. Intelligent Identification and Prediction of Lithology of Volcanic Reservoirs Based on Machine Learning[J]. Special Oil & Gas Reservoirs, 2022, 29(1): 38-45.

参考文献

[1] 王乔.火成岩裂缝地质-测井综合评价与地震预测[D].长春:吉林大学,2016.
WANG Qiao.Geologic-logging comprehensive assessment and seismic prediction of igneous rock fracture in the eastern sag of Liaohe Basin[D].Changchun:Jilin University,2016.
[2] SANYAL S K,JUPRASERT S,JUBASEHE J.An evaluation of rhyolite-basalt-voleanic ash sequence from well logs[J].The log analyst,1980,21(1):3-9.
[3] 谭伏霖,王志章,隆山,等.基于层次分解思想的火成岩岩性识别[J].测井技术,2010,34(2):172-176.
TAN Fulin,WANG Zhizhang,LONG Shan,et al.Igneous Identification based on hierarchical decomposition[J].Well Logging Technology,2010,34(2):172-176.
[4] 谭伏霖,王志章,隆山,等.样品扩充法识别火成岩[J].中国石油大学学报(自然科学版), 2010,34(6):45-49.
TAN Fulin,WANG Zhizhang,LONG Shan,et al.Igneous rock identification based on sample expansion method[J].Journal of China University of Petroleum(Edition of Natural Science),2010,34(6):45-49.
[5] 罗德江.基于Fisher判别分析的弹性属性参数致密碎屑岩岩性识别[J].石油天然气学报,2013,35(3):85-89.
LUO Dejiang.Lithologic identification for elastic rocks using elastic attribute parameters based on fisher discriminant analysis[J].Journal of Oil and Gas Technology,2013,35(3):85-89.
[6] 程国建,马微,魏新善,等.基于图像处理与神经网络的岩石组构识别[J].西安石油大学学报(自然科学版),2013,28(5):105-110.
CHENG Guojian,MA Wei,WEI Xinshan,et al.Research of rock texture identification based on image processing and neural network[J].Journal of Xi′an Shiyou University(Natural Science),2013,28(5):105-110.
[7] 鞠武,韩学辉,支乐菲,等.应用Bayes逐步判别分析识别辛176区块Es₄储层岩性[J].物探化探计算技术,2012,34(5):576-581.
JU Wu,HAN Xuehui,ZHI Lefei,et al.A lithology identification method in Es₄ reservoir of Xin 176 Block with Bayes stepwise discriminant method[J].Computing Techniques for Geophysical and Geochemical Exploration,2012,34(5):576-581.
[8] 范存辉,梁则亮,秦启荣,等.基于测井参数的遗传BP神经网络识别火山岩岩性——以准噶尔盆地西北缘中拐凸起石炭系火山岩为例[J].石油天然气学报,2012,34(1): 68-71.
FAN Cunhui,LIANG Zeliang,QIN Qirong,et al.Identification of volcanic-rock lithology by using genetic BP neural network based on logging parameters:by taking carboniferous volcanic rocks in Zhongguai Uplift of northwestern margin of Junggar Basin for instance[J].Journal of Oil and Gas Technology,2012,34(1):68-71.
[9] 牟丹.辽河盆地中基性火成岩测井岩性识别方法研究[D].长春:吉林大学,2015.
MOU Dan.Methods research on logging lithology identification for intermediate/basaltic rocks in Liaohe Basin[D].Changchun:Jilin University,2015.
[10] LI Ning,QIAO Dexing,LI Qingfeng,et al.Theory on logging interpretation of igneous rocks and its application[J].Elsevier,2009,36(6):682-693.
[11] 张琳,陈燕,李桃迎,等.决策树分类算法研究[J].计算机工程,2011,37(13):66-67.
ZHANG Lin,CHEN Yan,LI Taoying,et al.Research on decision tree classification algorithm[J].Computer Engineering,2011,37(13):66-67.
[12] 马骊.随机森林算法的优化改进研究[D].广州:暨南大学,2016.
MA Li.Research on optimization and improvement of random forests algorithm[D].Guangzhou:Jinan University,2016.
[13] 曹正凤.随机森林算法优化研究[D].北京:首都经济贸易大学,2016.
CAO Zhengfeng.Research on random forest algorithm optimization[D].Beijing:Capital University of Economics and Business,2016.
[14] 刘宇,乔木.基于聚类和XGboost算法的心脏病预测[J].计算机系统应用,2019,28(1): 228-232.
LIU Yu,QIAO Mu.Heart disease prediction based on clustering and XGboost[J].Computer Systems & Applications,2019,28(1):228-232.
[15] 何世建.基于梯度提升决策树与深度信念网络融合的推荐算法研究[D].桂林:广西师范大学,2017.
HE Shijian.Research on recommendation algorithm based on gradient boosting decision tree and deep belief network[D].Guilin:Guangxi Normal University,2017.
[16] 陈旋,刘健,冯新淇,等.基于朴素贝叶斯的差分隐私合成数据集发布算法[J].计算机科学,2015,42(1): 236-238.
CHEN Xuan,LIU Jian,FENG Xinqi,et al.Differential private synthesis dataset releasing algorithm based on Navie Bayes[J].Computer Science,2015,42(1):236-238.
[17] 何刚,王志章,谭伏霖,等.准噶尔盆地腹部火成岩分类及特征[J].新疆石油地质, 2010,31(2):125-127.
HE Gang,WANG Zhizhang,TAN Fulin,et al.Classification of characteristic of igneous rocks in hinterland of Junggar Basin[J].Xinjiang Petroleum Geology,2010,31(2):125-127.
[18] 赵武生,谭伏霖,王志章,等.准噶尔盆地腹部火成岩岩性识别[J].天然气工业, 2010,30(2): 21-25.
ZHAO Wusheng,TAN Fulin,WANG Zhizhang,et al.Identification of the lithology of igneous rocks in central of the Junggar Basin[J].Natural Gas Industry,2010,30(2):21-25.
[19] 尚玲,谢亮,姚卫江等.准噶尔盆地中拐凸起石炭系火山岩岩性测井识别及应用[J].岩性油气藏,2013,25(2):65-69.
SHANG Ling,XIE Liang,YAO Weijiang,et al.Logging identification and application of Carboniferous volcanic rocks in Zhongguai Uplift,Junggar Basin[J].Lithologic Reservoirs,2013,25(2):65-69.
[20] 许风光.火成岩储层岩性识别及裂缝评价研究[D].青岛:中国石油大学(华东),2004.
XU Fengguang.Study on lithologic identification and fracture evaluation of igneous rock reservoir[D].Qingdao:China University of Petroleum (East China),2004.
[21] 邵阳.含火山岩地层测井响应分析及岩性识别技术研究[D].大庆:大庆石油学院,2010.
SHAO Yang.Study on logging response analysis and lithology identification technology for volcanic rock formations[D].Daqing:Daqing Petroleum Institute,2010.
[22] 李树博,郭旭光,郑孟林,等.准噶尔盆地东部西泉地区石炭系火山岩岩性识别[J].岩性油气藏,2021,33(1):258-266.
LI Shubo,GUO Xuguang,ZHENG Menglin,et al.Lithology identification of Carboniferous volcanic rocks in Xiquan area,eastern Junggar Basin[J].Lithologic Reservoirs,2021,33(1):258-266.
[23] 王泽华,朱筱敏,孙中春,等.测井资料用于盆地中火成岩岩性识别及岩相划分:以准噶尔盆地为例[J].地学前缘,2015,22(3):254-268.
WANG Zehua,ZHU Xiaomin,SUN Zhongchun,et al.Igneous lithology identification and lithofacies classification in the basin using logging data:taking Junggar Basin as an example[J].Earth Science Frontiers,2015,22(3):254-268.
[24] 王满.基于FMI的火成岩组构分析[D].长春:吉林大学,2007.
WANG Man.Texture and structure analysis of igneous rock based on FMI[D].Changchun:Jilin University,2007.
[25] 高旭明,张兵强,庄玮.利用测井资料识别火山岩岩性方法探讨[J].内蒙古石油化工, 2012,38(14):42-43.
GAO Xuming,ZHANG Bingqiang,ZHUANG Wei.Discussion on the method of identifying volcanic rock lithology with logging data[J].Inner Mongolia Petrochemical Industry,2012,38(14):42-43.
[26] 刘磊,胡雪冰.车排子地区东北部火山岩岩性-测井相特征及识别[J].河南科学, 2016,34(6):936-942.
LIU Lei,HU Xuebing.Identification and characteristics of lithology-logging facies for volcanic rock in the northeast of Chepaizi Area[J].Henan Science,2016,34(6):936-942.
[27] 胡刚.火山岩岩性识别方法研究[D].武汉:长江大学,2012.
HU Gang.Research on volcanic rock lithology identification method[D].Wuhan:Yangtze University,2012.
[28] 肖颖.火山岩储集层测井响应与岩性识别[J].内蒙古石油化工,2008,34(22): 34-36.
XIAO Ying.Distinguishing Igneous rock lithology[J].Inner Mongolia Petrochemical Industry,2008,34(22):34-36.
[29] 张大权,邹妞妞,姜杨,等.火山岩岩性测井识别方法研究——以准噶尔盆地火山岩为例[J].岩性油气藏,2015,27(1):108-114.
ZHANG Daquan,ZOU Niuniu,JIANG Yang,et al.Logging identification method of volcanic rock lithology:a case study from volcanic rock in Junggar Basin[J].Lithologic Reservoirs,2015,27(1):108-114.
[30] 王振洲,张春雷,高世臣.利用决策树方法识别复杂碳酸盐岩岩性——以苏里格气田苏东41-33区块为例[J].油气地质与采收率,2017,24(6):25-33.
WANG Zhenzhou,ZHANG Chunlei,GAO Shichen.Lithology identification of complex carbonate rocks based on decision tree method:an example from Block Sudong41-33 in Sulige Gas ffield Petroleum Geology and Recovery Efficiency,2017,24(6):25-33.
[31] 乔雨朋,邱隆伟,邵先杰,等.辫状河储层构型表征研究进展[J].油气地质与采收率,2017,24(6):34-42.
QIAO Yupeng,QIU Longwei,SHAO Xianjie,et al.Research progress on characterization of braided river reservoir architecture[J].Petroleum Geology and Recovery Efficiency,2017,24(6):34-42.
[32] 朱梦月,秦启荣,李虎,等.川东南DS地区龙马溪组页岩裂缝发育特征及主控因素[J].油气地质与采收率,2017,24(6):54-59.
ZHU Mengyue,QIN Qirong,LI Hu,et al.Development characteristics and controlling factors of shale fractures in the Longmaxi Formation in DS area,southeast Sichuan[J].Petroleum Geology and Recovery Efficiency,2017,24(6):54-59.