Review and prospect of research on lacustrine carbonate rocks
LIU Zhen1,2, ZHANG Junhua1,2, WANG Jing1,2, YU Zhengjun3, SU Chaoguang3
1. School of Geosciences, China University of Petroleum (East China), Qingdao, Shandong 266580, China; 2. Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao, Shandong 266580, China; 3. Geophysical Research Institute, Shengli Oilfield Company, SINOPEC, Dongying, Shandong 257022, China
Abstract:Oil and gas exploration in lacustrine carbonate rocks has been paid increasing attention to. Nevertheless, related research methods and results are still in a preliminary stage and lack systematic review. In this paper, the main progress in geolo-gical, logging, and geophysical research on lacustrine carbonate rocks in recent years is extensively investigated and systematically summarized, with the focus placed on the Jiyang Depression as an example. Then, the characteristics of lacustrine and marine carbonate rocks are compared to assess the prospect of research techniques and methods for lacustrine carbonate rocks. The observations are as follows: ①Research on geological theories about lacustrine carbonate rocks is still in its infancy, and a unified and proven scheme of sedimentary facies division remains to be developed at present; the main controlling factors for lacustrine carbo-nate rocks are paleoclimate, paleostructure, paleo-water medium condition, paleogeomorphology, and paleosource; the reservoir space can be divided into primary pores, secondary pores, and fractures, and the influencing factors are sedimentary environment, diagenesis, and tectonics. ②Lacustrine carbonate rocks have the logging facies characteristics of finger shape, circular arc shape, tooth shape, and U shape. At present, sedimentary microfacies are mainly used to identify reservoirs and analyze fluid properties. ③Seismic amplitude slices of lacustrine carbonate rocks often have typical beach core characteristics. The identification ability can be improved by frequency-division imaging and 90° phase shift. ④Lacustrine carbonate rocks are different from marine ones in many aspects, such as development age, spatial distribution, sedimentary facies characteristics, reservoir types and characteristics, and source rocks. The former developed in the Mesozoic and Cenozoic and was greatly affected by paleoclimate, while the latter developed in the Jurassic, Permian, Triassic, Ordovician, and Cambrian and was mainly under the influence of tides. ⑤Future prediction of lacustrine carbonate reservoirs should focus on faults and thin interbeds; sedimentary theories about lacustrine carbonate rocks are expected to undergo further development for a unified model of facies zone division to take shape; Deep learning methods based on big data analysis are an important future development direction.
刘震, 张军华, 王静, 于正军, 苏朝光. 湖相碳酸盐岩研究进展及展望[J]. 石油地球物理勘探, 2022, 57(2): 487-497.
LIU Zhen, ZHANG Junhua, WANG Jing, YU Zhengjun, SU Chaoguang. Review and prospect of research on lacustrine carbonate rocks. Oil Geophysical Prospecting, 2022, 57(2): 487-497.
宋立才.沾车地区沙四上亚段湖相碳酸盐岩测井二次解释研究[D].北京:中国地质大学(北京),2011.SONG Licai.Logging Secondary Interpretation of Lacustrine Carbonate in the Fourth Member,Shahejie Fm.,Zhanche Area[D].China University of Geosciences (Beijing),Beijing,2011.
[2]
杜韫华.中国湖相碳酸盐岩油气储层[J].陆相石油地质,1992,3(6):25-37.DU Yunhua. Lacustrine carbonate reservoirs in China[J]. Continental Petroleum Geology,1992,3(6):25-37.
夏青松,田景春,倪新锋.湖相碳酸盐岩研究现状及意义[J].沉积与特提斯地质,2003,23(1):105-112.XIA Qingsong,TIAN Jingchun,NI Xinfeng.Lacustrine carbonate rocks in China:An overview[J].Sedimentary Geology and Tethyan Geology,2003,23(1):105-112.
[5]
赵澄林.油区岩相古地理[M].山东东营:石油大学出版社,2001.ZHAO Chenglin.Lithofacies and Paleogeography in Petroliferous Area[M].China University of Petroleum Press,Dongying,Shandong,2001.
[6]
周自立,杜韫华.湖相碳酸盐岩的沉积相与油气分布关系——以山东胜利油田下第三系碳酸盐岩为例[J].石油实验地质,1986,8(2):123-132.ZHOU Zili,DU Yunhua.Relationship between sedimentary facies of lacustrine carbonate rocks and oil and gas distribution[J]. Petroleum Geology&Experiment,1986,8(2):123-132.
[7]
陈少平,刘丽芳,黄胜兵,等.湖相碳酸盐岩——渤中凹陷油气勘探新领域[J].中国海上油气,2019,31(2):20-28.CHEN Shaoping, LIU Lifang, HUANG Shengbing, et al. Lacustrine carbonate rock:A new domain of oil and gas exploration in Bozhong sag of Bohai sea[J].China Offshore Oil and Gas,2019,31(2):20-28.
[8]
姜秀芳.济阳坳陷湖相碳酸盐岩沉积主控因素[J].油气地质与采收率,2011,18(6):23-27.JIANG Xiufang.Main controlling factors of lacustrine carbonate rock in Jiyang depression[J].Petroleum Geology and Recovery Efficiency,2011,18(6):23-27.
[9]
李丕龙,庞雄奇.陆相断陷盆地隐蔽油气藏形成[M].北京:石油工业出版社,2004,20-27.
[10]
邵维志,肖斐,贵兴海,等.基于曲线样式的非常规油层产能评价方法探索[J].测井技术,2013,37(6):681-687.SHAO Weizhi,XIAO Fei,GUI Xinghai,et al. Exploration of productivity evaluation methods based on curve styles in unconventional reservoir[J].Well Logging Technology,2013,37(6):681-687.
[11]
常静春,刘俊东,徐明,等.基于沉积微相分析的湖相碳酸盐岩储层测井解释方法[J].国外测井技术,2018,39(6):8-11.CHANG Jingchun, LIU Jundong, XU Ming, et al. Logging interpretation method of lacustrine carbonate reservoir based on sedimentary microfacies analysis[J]. World Well Logging Technology, 2018, 39(6):8-11.
[12]
罗晓彤,文华国,彭才,等.巴西桑托斯盆地L油田BV组湖相碳酸盐岩沉积特征及高精度层序划分[J].岩性油气藏,2020,32(3):68-81.LUO Xiaotong,WEN Huaguo,PENG Cai,et al. Se-dimentary characteristics and high-precision sequence division of lacustrine carbonate rocks of BV Formation in L oilfield of Santos Basin,Brazil[J].Lithologic Reservoirs,2020,32(3):68-81.
[13]
庞宏磊.车镇凹陷沙四上亚段低坡折带湖相碳酸盐岩地震识别及沉积特征[J].油气地球物理,2017,15(1):6-11.PANG Honglei. Seismic identification and sedimentary features of lacustrine facies carbonate rock in low slope-breaks of the upper of Es4 in Chezhen Depression[J].Petroleum Geophysics,2017,15(1):6-11.
[14]
朱超,刘占国,杨少勇,等.利用相控分频反演预测英西湖相碳酸盐岩储层[J].石油地球物理勘探,2018,53(4):832-841.ZHU Chao,LIU Zhanguo,YANG Shaoyong,et al. Lacustrine carbonate reservoir prediction in Yingxi, Qaidam Basin with the facies-constrained and segmented-frequency-band inversion[J]. Oil Geophysical Prospecting,2018,53(4):832-841.
[15]
杨勇强,师政,邱隆伟,等.济阳坳陷四扣洼陷湖相碳酸盐岩岩溶储层特征及其发育模型[J].中国石油大学学报(自然科学版),2018,42(3):1-11.YANG Yongqiang,SHI Zheng,QIU Longwei,et al.Characterization and developmental model of karstic reservoirs in lacustrine carbonate strata of Eocene Sikou Sag,Jiyang Depression[J].Journal of China University of Petroleum (Edition of Natural Science),2018,42(3):1-11.
[16]
钟頔.沾化凹陷沙四上亚段碳酸盐岩沉积相研究与储层地震预测[D].北京:中国地质大学(北京),2012.ZHONG Di.Research of Sedimentary Facies and Re-servoir Seismic Prediction of Lacustrine Carbonate Reservoirs of the Upper Es4 in Zhanhua Sag[D].China University of Geosciences (Beijing),Beijing,2012.
[17]
WILLIANMSON C R,PICARD M D. Petrology of carbonate rock of the Green River Formation (Eocene)[J]. Journal of Sedimentary Research,1974,44(3):738-759.
[18]
武刚,邢正岩,彭寿英,等.济阳坳陷湖相碳酸盐岩储层分布特征及综合评价[J].特种油气藏,2004,11(2):26-28.WU Gang,XING Zhengyan,PENG Shouying,et al.Distribution and evaluation of lake carbonate reservoir in Jiyangdepression[J].Special Oil&Gas Reservoirs,2004,11(2):26-28.
[19]
赵雪凤,朱光有,刘钦甫,等.深部海相碳酸盐岩储层孔隙发育的主控因素研究[J].天然气地球科学,2007,18(4):514-521.ZHAO Xuefeng,ZHU Guangyou,LIU Qinfu,et al.Main control factors of pore development in deep marine carbonate reservoirs[J].Natural Gas Geoscience,2007,18(4):514-521.
[20]
陈昭国.川西地区海相碳酸盐岩储层预测研究[D].四川成都:成都理工大学,2011.CHEN Zhaoguo.Study on Carbonate Reservoir Predication in West Sichuan Depression[D].Chengdu University of Technology,Chengdu,Sichuan,2011.
[21]
张玺华,田兴旺,杨岱林,等.四川盆地海相碳酸盐岩储层成因及特征[J].天然气勘探与开发,2021,44(3):1-10.ZHANG Xihua,TIAN Xingwang,YANG Dailin,et al. Genesis and characteristics of marine carbonate reservoirs in Sichuan Basin[J].Natural Gas Exploration and Development,2021,44(3):1-10.
[22]
田春桃,马素萍,杨燕,等.湖相与海相碳酸盐岩烃源岩生烃条件对比[J].石油与天然气地质,2014,35(3):336-341.TIAN Chuntao,MA Suping,YANG Yan,et al. Comparison of hydrocarbon generation conditions between lacustrine and marine carbonate source rocks[J]. Oil&Gas Geology,2014,35(3):336-341.
[23]
黄籍中,吕宗刚.碳酸盐岩烃源岩判识与实践——以四川盆地为例[J].海相油气地质,2011,16(3):8-14.HUANG Jizhong,LYU Zonggang.How to judge carbonate rock as source rock:a case of Sichuan Basin[J].Marine Origin Petroleum Geology,2011,16(3):8-14.
[24]
倪春华,周小进,王果寿,等.鄂尔多斯盆地南缘平凉组烃源岩沉积环境与地球化学特征[J].石油与天然气地质,2011,32(1):38-46.NI Chunhua,ZHOU Xiaojin,WANG Guoshou,et a1.Sedimentary environment and geochemical characte-ristics of hydrocarbon source rocks in the Pingliang Formation,southern margin of the Ordos Basin[J].Oil&Gas Geology,2011,32(1):38-46.
[25]
涂建琪,陈建平,张大江,等.湖相碳酸盐岩烃源岩有机显微组分分类及其岩石学特征——以酒西盆地为例[J].岩石学报,2012,28(3):917-926.Tu Jianqi,Chen Jianping,Zhang Dajiang,et a1.A petrographic classification of macerals in lacustrine carbonate source rocks and their organic petrological characteristics:A case study on Jiuxi basin,NW China[J].Acta Petrologica Sinica,2012,28(3):917-926.
[26]
张建民,赵春明,马奎前,等.渤海海域湖相碳酸盐岩储层研究方法——以XX油田深层生屑云岩为例[J].海洋石油,2010,30(4):32-38.ZHANG Jianmin,ZHAO Chunming,MA Kuiqian,et al. Research method of lacustrine carbonate rock in the Bohai Sea:taking bioclastie dolomite in XX oilfield as an example[J]. Offshore Oil,2010,30(4):32-38.
[27]
田敏,余光华.东营凹陷南坡湖相碳酸盐岩储层测井评价[J].复杂油气藏,2017,10(2):27-32.TIAN Min,YU Guanghua. Logging evaluation for lacustrine carbonate reservoir in the southern ramp of Dongying Depression[J].Complex Hydrocarbon Reservoirs,2017,10(2):27-32.
[28]
宋东锋.东营凹陷南坡湖相碳酸盐岩储层评价方法研究[J].非常规油气,2018,5(2):16-23.SONG Dongfeng.Research of reservoir evaluation for lacustrine carbonate reservoir in southern ramp of Dongying depression[J]. Unconventional Oil&Gas,2018,5(2):16-23.
[29]
崔正伟,程冰洁,徐天吉,等.基于构造导向滤波与梯度结构张量相干属性的储层裂缝预测方法及应用[J].石油地球物理勘探,2021,56(3):555-563.CUI Zhengwei,CHENG Bingjie,XU Tianji,et al. Reservoir fracture prediction method and application based on structure-oriented filtering and coherent attributes of gradient structure tensor[J].Oil Geophysical Prospecting,2021,56(3):555-563.
[30]
张军华.断块、裂缝型油气藏地震精细描述技术[M].山东东营:中国石油大学出版社, 2012.ZHANG Junhua. Fine Seismic Description Technology of Fault Block and Fractured Reservoir[M].China University of Petroleum Press,Dongying,Shan-dong,2012.
[31]
HUANG L,DONG X S,CLEE T E.A scalable deep learning platform for identifying geologic features from seismic attributes[J].The Leading Edge,2017,36(3):249-256.
[32]
WU X M,LIANG L M,SHI Y Z,et al.FaultSeg3D:using synthetic data sets to train an end-to-end convolutional neural network for 3D seismic fault segmentation[J].Geophysics,2019,84(3):IM35-IM45.
[33]
YANG D,CAI Y F,HU G M,et al.Seismic fault detection based on 3D Unet++model[C].SEG Technical Program Expanded Abstracts,2020,39:1631-1635.
[34]
CUNHA A,POCHET A,LOPES H,et al.Seismic fault detection in real data using transfer learning from a convolutional neural network pre-trained with synthetic seismic data[J]. Computers&Geosciences,2020,135:104344.https://www.sciencedirect.com/science/article/pii/S0098300418307040.
[35]
李雪英,田亚军,程云,等.基于仿射类平滑伪Wigner分布的厚度有序递变型薄互层时频特征分析[J].石油地球物理勘探,2019,54(5):1094-1105.LI Xueying,TIAN Yajun,CHENG Yun,et al. Time-frequency characteristics analysis of orderly thickness-graded thin inter-beds based on affine smoothed pseudo-Wigner distribution[J].Oil Geophysical Prospecting,2019,54(5):1094-1105.
[36]
王延光,李皓,李国发,等.一种用于薄层和薄互层砂体厚度估算的复合地震属性[J].石油地球物理勘探,2020,55(1):153-160.WANG Yanguang,LI Hao,LI Guofa,et al. A composite seismic attribute used to estimate the sand thickness for thin bed and thin interbed[J]. Oil Geophysical Prospecting,2020,55(1):153-160.
[37]
孔省吾,张云银,沈正春,等.波形指示反演在灰质发育区薄互层浊积岩预测中的应用——以牛庄洼陷沙三中亚段为例[J].物探与化探,2020,44(3):665-671.KONG Xingwu,ZHANG Yunyin,SHEN Zhengchun,et al. The application of waveform inversion prediction of thin turbidite reservoir to calcareous depositional area:A case study of E3s2 in Niuzhuang sag[J].Geophysical and Geochemical Exploration,2020,44(3):665-671.