2021 Vol. 37, No. 10
Article Contents

CHEN Xinlu, ZHAO Zhiping, HUI Guanzhou, YUE Junpei, ZHAO Jing. CHARACTERISTICS OF WEATHERED METAMORPHIC ROCKS CRUST IN BOHAI SEA AND ITS QUANTITATIVE PREDICTION[J]. Marine Geology Frontiers, 2021, 37(10): 33-41. doi: 10.16028/j.1009-2722.2020.168
Citation: CHEN Xinlu, ZHAO Zhiping, HUI Guanzhou, YUE Junpei, ZHAO Jing. CHARACTERISTICS OF WEATHERED METAMORPHIC ROCKS CRUST IN BOHAI SEA AND ITS QUANTITATIVE PREDICTION[J]. Marine Geology Frontiers, 2021, 37(10): 33-41. doi: 10.16028/j.1009-2722.2020.168

CHARACTERISTICS OF WEATHERED METAMORPHIC ROCKS CRUST IN BOHAI SEA AND ITS QUANTITATIVE PREDICTION

  • With the discoveries of the oil and gas fields of weathered crust type, such as the Jinzhou 25-1 south, Jinzhou 20-2 and Bozhong 26-2 oilfields, and the breakthrough of the Bozhong 19-6 Gas Field of billions cubic meters in reserve in the past two years, the weathered Proterozoic-Archaean metamorphic rocks have become one of the key exploration targets in the Bohai Sea. In order to reveal the structure of the weathered crust for effective use of the reservoir prediction method to the buried hills consisting of metamorphic rocks, based on coring, thin slices, logging, major elements and physical property data, the vertical structure of the weathered crust of metamorphic buried hill and the controlling factors of weathered crust are studied in this paper. By using the Q-type clustering method and the grey correlation coefficient, the weathered crust of metamorphic rocks can be divided into five vertical sequences, and their development status is obviously affected by lithology, structure and preservation conditions. Among them, the sedimentary environment of the cover, which is often ignored by previous researches, are of great significance as far as the preservation conditions for the weathered crust type of oil and gas fields are considered. According to the variable factor classification for the 11 drilled weathered crusts, four reservoirs fall in classes I-IV from top to bottom. The method has been successfully applied in the prediction of the Bozhong 19-6 weathered crust gas field and should be referred in the future.

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  • [1] 郭太现. 锦州25-1南油田储层裂缝测井识别及有效性评价[J]. 长江大学学报(自然科学版),2012,9(7):54-56.

    Google Scholar

    [2] 薛永安,李慧勇. 渤海海域深层太古界变质岩潜山大型凝析气田的发现及其地质意义[J]. 中国海上油气,2018,3(30):1-9.

    Google Scholar

    [3] 周心怀,项华,于水,等. 渤海锦州南变质岩潜山油藏储集层特征与发育控制因素[J]. 石油勘探与开发,2005,32(6):17-20. doi: 10.3321/j.issn:1000-0747.2005.06.004

    CrossRef Google Scholar

    [4] 王德英,王清斌,刘晓健,等. 渤海湾盆地海域片麻岩潜山风化壳型储层特征及发育模式[J]. 岩石学报,2019,35(4):1181-1193. doi: 10.18654/1000-0569/2019.04.13

    CrossRef Google Scholar

    [5] 李景阳,朱立军. 论碳酸盐岩现代风化壳和古风化壳[J]. 中国岩溶,2004,23(1):56-62. doi: 10.3969/j.issn.1001-4810.2004.01.010

    CrossRef Google Scholar

    [6] 黄建红,谭先锋,程承吉,等. 花岗质基岩风化壳结构特征及油气地质意义:以柴达木盆地东坪地区基岩风化壳为例[J]. 地球科学,2016,41(12):2041-2061.

    Google Scholar

    [7] CHARLES H K,MAKENYA A H M,SHUKRANI M,et al. Geochemistry and Sm-Nd systematics of the 1.67 Ga Buanji Group of southwestern Tanzania:paleo-weathering,provenance and paleo-tectonic setting implications[J]. Geoscience Frontiers,2017,8(5):1025-1037. doi: 10.1016/j.gsf.2016.09.004

    CrossRef Google Scholar

    [8] 杨洪伟,吕洪志,崔云江,等. JZ-S油田变质岩潜山储层的测井评价新方法及其应用[J]. 中国海上油气,2012,24(S1):47-49,56.

    Google Scholar

    [9] 李德江,杨威,谢增业,等. 准噶尔盆地克百地区三叠系成岩相定量研究[J]. 天然气地球科学,2008,19(4):268-274.

    Google Scholar

    [10] 余瑜,林良彪,高健,等. 川东南中二叠统茅口组硅质岩地球化学特征及形成环境[J]. 吉林大学学报(地球科学版),2015,45(S1):20-27.

    Google Scholar

    [11] 余瑜. 川南地区须家河组砂岩储层特征及成岩相定量研究[D]. 成都: 成都理工大学, 2016.

    Google Scholar

    [12] 倪军娥,方度,王冰洁. 伊通地堑鹿乡断陷油源对比分析:基于多元统计分析进行油源对比[J]. 新疆石油天然气,2007,3(4):17-20. doi: 10.3969/j.issn.1673-2677.2007.04.005

    CrossRef Google Scholar

    [13] 操应长,宋玲,王健,等. 重矿物资料在沉积物物源分析中的应用:以涠西南凹陷古近系流三段下亚段为例[J]. 沉积学报,2011,29(5):835-841.

    Google Scholar

    [14] 寻知锋,余继峰. 聚类和判别分析在测井岩性识别中的应用[J]. 山东科技大学学报(自然科学版),2008,27(5):10-13.

    Google Scholar

    [15] 陈心路,韦阿娟,王粤川,等. 渤海海域西南部太古宙变质岩岩性对裂缝的控制作用[J]. 地质科技通报,2018,37(2):165-173.

    Google Scholar

    [16] 罗宪波,李云鹏,葛丽珍,等. 变质岩潜山裂缝油藏高效开发技术研究与实践[J]. 中国海上油气,2016,3(28):91-96.

    Google Scholar

    [17] 陆诗阔,李冬冬. 变质岩储层岩性及裂缝测井识别方法研究进展[J]. 特种油气藏,2016,23(4):1-6. doi: 10.3969/j.issn.1006-6535.2016.04.001

    CrossRef Google Scholar

    [18] 赵乐强,张金亮,宋国奇,等. 济阳坳陷前第三系顶部风化壳结构发育特征及对油气成藏的影响[J]. 地质学报,2009,83(4):570-578. doi: 10.3321/j.issn:0001-5717.2009.04.012

    CrossRef Google Scholar

    [19] 邹才能,侯连华,杨帆,等. 碎屑岩风化壳结构及油气地质意义[J]. 中国科学:地球科学,2014,44(12):2652-2664.

    Google Scholar

    [20] APLIN A C,MACQUAKER J H S. Mudstone diversity:origin and implications for source,seal,and reservoir properties in petroleum systems[J]. AAPG Bulletin,2011,12:2031-2059.

    Google Scholar

    [21] 杨俊杰,谢庆邦,宋国初. 鄂尔多斯盆地奥陶系风化壳古地貌成藏模式及气藏序列[J]. 天然气工业,1992,4(10):8-13.

    Google Scholar

    [22] 赖锦,王贵文,范卓颖,等. 非常规油气储层脆性指数测井评价方法研究进展[J]. 石油科学通报,2016,1(3):330-341.

    Google Scholar

    [23] 马立文,窦齐丰,彭仕宓,等. 用Q型聚类分析与判别函数法进行储层评价:以冀东老爷庙油田庙28X1 区块东一段为例[J]. 西北大学学报(自然科学版),2003,33(1):83-86.

    Google Scholar

    [24] 吴育平,孙卫,魏驰,等. 基于聚类分析和灰色关联分析法的储层综合评价:以鄂尔多斯盆地姬塬地区长61储层为例[J]. 油气藏评价与开发,2018,1(3):35-41. doi: 10.3969/j.issn.2095-1426.2018.03.007

    CrossRef Google Scholar

    [25] 高伟,张志军,郭军,等. 辽东湾地区东营组湖底扇地震响应机理分析及储层描述[J]. 中国海上油气,2017,29(5):48-55.

    Google Scholar

    [26] 唐俊,王琪,马晓峰,等. Q型聚类分析和判别分析法在储层评价中的应用:以鄂尔多斯盆地姬塬地区长81储层为例[J]. 特种油气藏,2012,19(6):28-31. doi: 10.3969/j.issn.1006-6535.2012.06.006

    CrossRef Google Scholar

    [27] 黄道军,文彩霞,季海锟,等. 鄂尔多斯盆地东部奥陶系风化壳储层特征及主控因素分析[J]. 海相油气地质,2009,14(3):10-18. doi: 10.3969/j.issn.1672-9854.2009.03.002

    CrossRef Google Scholar

    [28] 陈心路,王粤川,彭靖淞,等. 基于测井-录井资料评价变质岩风化壳结构:以渤海南部渤中X构造为例[J]. 新疆石油地质,2019,40(2):32-39.

    Google Scholar

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