利用时频电磁法识别辽河盆地东部凹陷火成岩油气目标

doi:10.13686/j.cnki.dzyzy.2024.01.006

Abstract
Figure/Table
References
Related Citation (2)

Download: PDF (838 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Time-frequency electromagnetic method(TFEM), characterized by strong excitation signal, large detection depth and high precision, is one of the most promising techniques for the fine identification of igneous rock reservoirs and surface oil-gas detection, which can determine the oil-gas content by detecting the electrical and electrochemical anomalies of oil-gas reservoirs. Through analyzing the electrical logging data of HX sag in Liaohe Basin, it is confirmed that TFEM has the physical basis to identify different igneous rocks. The fault structure characteristics as well as the igneous rock inner structures of Shahejie Formation are obtained by the well seismic-TFEM joint inversion, and 5 stages of volcanic activities within the third member of Shahejie Formation are identified. A set of classification standard for polarizability evaluation is summarized through the extraction of amplitude and phase anomalies related to resistivity and polarizability, and comparison of oil production condition of the known wells. Combined with the seismic data, the oil-gas migration mechanism in HX sag is reversed by TFEM. The oil-gas evaluation template in the area is obtained through the research, by which several oil-gas favorable areas are identified and verified by subsequent drilling work. The method can provide reference for oil-gas evaluation in similar areas.

Key words： TFEM igneous rock reservoir polarization anomaly oil-gas detection Liaohe Basin

Received: 29 August 2022

PACS:	P631.3
	P618.13

About author:: 10.13686/j.cnki.dzyzy.2024.01.006

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	SHI Yan-ling
	Liu Xue-jun
	WEI Qiang
	SUO Xiao-dong
	DONG Wei-bin
	HE Zhan-xiang

Cite this article:

SHI Yan-ling,Liu Xue-jun,WEI Qiang等. IDENTIFICATION OF IGNEOUS ROCK RESERVOIRS IN EASTERN DEPRESSION OF LIAOHE BASIN BY TIME-FREQUENCY ELECTROMAGNETIC METHOD[J]. GEOLOGY AND RESOURCES, 2024, 33(1): 49-55.

URL:

http://manu25.magtech.com.cn/Jweb_dzyzy/EN/10.13686/j.cnki.dzyzy.2024.01.006 OR http://manu25.magtech.com.cn/Jweb_dzyzy/EN/Y2024/V33/I1/49

[1]	张丽华, 潘保芝, 单刚义. 测井曲线概率分布法识别四川盆地火山岩气水层[J]. 地质与资源, 2022, 31(1):115-120, 114. Zhang L H, Pan B Z, Shan G Y. Identification of gas-water zones in volcanic reservoirs in Sichuan Basin based on probability distribution of logging curves[J]. Geology and Resources, 2022, 31(1):115-120, 114.
[2]	张文浩, 王丹丹, 李世臻, 等. 重磁电勘探在黑龙江三江盆地石炭系-二叠系油气地质调查中的应用[J]. 中国地质, 2019, 46(1): 191-201. Zhang W H, Wang D D, Li S Z, et al. The application of gravity- magnetic-electric prospecting engineering for Carboniferous-Permian petroleum geological survey in Sanjiang Basin, Heilongjiang Province [J]. Geology in China, 2019, 46(1):191-201.
[3]	卢进才, 张洪安, 牛亚卓, 等. 内蒙古西部银额盆地石炭系-二叠系油气地质条件与勘探发现[J]. 中国地质, 2017, 44(1):13-32. Lu J C, Zhang H A, Niu Y Z, et al. Carboniferous-Permian petroleum conditions and exploration breakthrough in the Yingen-Ejin Basin in Inner Mongolia[J]. Geology in China, 2017, 44(1):13-32.
[4]	徐礼贵, 夏义平, 刘万辉. 综合利用地球物理资料解释叠合盆地深层火山岩[J]. 石油地球物理勘探, 2009, 44(1):70-74, 97. Xu L G, Xia Y P, Liu W H. Integrative application of geophysical prospecting data to interpret deep volcanic rock in superposed basin [J]. Oil Geophysical Prospecting, 2009, 44(1):70-74, 97.
[5]	杨辉, 宋吉杰, 文百红, 等. 火山岩岩性宏观预测方法——以松辽盆地北部徐家围子断陷为例[J]. 石油勘探与开发, 2007, 34(2): 150-155, 196. Yang H, Song J J, Wen B H, et al. Macroscopic prediction of volcanic rock lithology:A case from Xujiaweizi faulted depression, northern Songliao Basin[J]. Petroleum Exploration and Development, 2007, 34(2):150-155, 196.
[6]	胡金祥, 李宗杰, 张永升, 等. 准噶尔盆地东缘火山岩综合地球物理勘探[J]. 新疆地质, 2013, 31(1):107-112. Hu J X, Li Z J, Zhang Y S, et al. The integrated geophysical exploration for the northeast edge volcanic rock in Junggar Basin[J]. Xinjiang Geology, 2013, 31(1):107-112.
[7]	张长江, 李志明, 何毅, 等. 固定源建场测深法在准噶尔盆地南缘的勘探试验[J]. 新疆石油地质, 2005, 26(3):275-277. Zhang C J, Li Z M, He Y, et al. Application of fixed source field sounding to petroleum prospecting in southern margin of Junggar Basin [J]. Xinjiang Petroleum Geology, 2005, 26(3):275-277.
[8]	刘云祥, 何毅, 李德春, 等. 利用高精度重磁电勘探资料识别火成岩储层相带[J]. 石油地球物理勘探, 2005, 40(S1):99-101. Liu Y X, He Y, Li D C, et al. Identification of volcanic reservoir facies belt using high-precision gravity, magnetic and electrical exploration data[J]. Petroleum Geophysical Exploration, 2005, 40(S1):99-101.
[9]	刘云祥, 何展翔, 张碧涛, 等. 识别火成岩岩性的综合物探技术[J]. 勘探地球物理进展, 2006, 29(2):115-118. Liu Y X, He Z X, Zhang B T, et al. Integrated geophysical techniques for identification of igneous rocks[J]. Progress in Exploration Geophysics, 2006, 29(2):115-118.
[10]	陈正乐, 马寅生, 王小凤, 等. 辽河盆地新生代构造演化模式[J]. 地质力学学报, 1999, 5(2):83-89. Chen Z L, Ma Y S, Wang X F, et al. Dynamic model of the Cenozoic tectonic evolution of the Liaohe Basin[J]. Journal of Geomechanics, 1999, 5(2):83-89.
[11]	王岩泉, 胡大千, 蔡国刚, 等. 辽河盆地东部凹陷火山岩储层特征与主控因素[J]. 石油学报, 2013, 34(5):896-904. Wang Y Q, Hu D Q, Cai G G, et al. Characteristics and controlling factors of Cenozoic volcanic reservoirs in Liaohe Basin, NE China[J]. Acta Petrolei Sinica, 2013, 34(5):896-904.
[12]	张占文, 陈永成. 辽河盆地东部凹陷天然气盖层评价[J]. 沉积学报, 1996, 14(4):102-107. Zhang Z W, Chen Y C. Caprock evaluation of natural gas reservoir within the eastern depression, Liaohe rift[J]. Acta Petrolei Sinica, 1996, 14(4):102-107.
[13]	宗文明, 孙求实, 郜晓勇, 等. 辽西拗陷凌源地区洪水庄组烃源岩石油地质特征及生烃潜力[J]. 地质与资源, 2022, 31(2):165- 174, 192. Zong W M, Sun Q S, Gao X Y, et al. The source rocks of Hongshuizhuang Formation in Lingyuan area of Liaoxi depression: Petroleum geology and hydrocarbon generation potential[J]. Geology and Resources, 2022, 31(2):165-174, 192.
[14]	He Z X, Hu W B, Dong W B. Petroleum electromagnetic prospecting advances and case studies in China[J]. Surveys in Geophysics, 2010, 31(2):207-224.
[15]	He Z X, Yu G, Liu H Y. Drilling-risk assessment with joint electromagnetic and seismic data[J]. The Leading Edge, 2014, 33(8):876-880.
[16]	王志刚, 何展翔, 覃荆城, 等. 时频电磁技术的新进展及应用效果[J]. 石油地球物理勘探, 2016, 51(S1):144-151. Wang Z G, He Z X, Qin J C, et al. Advances of TFEM technique and its application[J]. Oil Geophysical Prospecting, 2016, 51(S1): 144-151.
[17]	沈义斌, 杨俊, 曹阳, 等. 基于频散测试分析的时频电磁资料校正处理及储层评价[J]. 地质与资源, 2022, 31(3):404-411. Shen Y B, Yang J, Cao Y, et al. Time-frequency electromagnetic data correction processing and reservoir evaluation based on dispersion test analysis[J]. Geology and Resources, 2022, 31(3):404-411.
[18]	Dong W B, Zhao X M, Liu F, et al. The time-frequency electromagnetic method and its application in western China[J]. Applied Geophysics, 2008, 5(2):127-135.
[19]	索孝东, 张生, 陈德灸. 用重磁电异常信息模式识别石炭系火山岩岩性——以准噶尔盆地陆东地区为例[J]. 新疆石油地质, 2011, 32(3):318-320. Suo X D, Zhang S, Chen D Z. Identification of the carboniferous volcanic lithology with gravitational-magnetic-electric abnormal information pattern:An example from eastern Luliang uplift area in Junggar Basin[J]. Xinjiang Petroleum Geology, 2011, 32(3):318- 320.
[20]	何展翔. 圈定油气藏边界的井地电法研究[D]. 成都:成都理工大学, 2006. He Z X. Research to borehole-surface electromagnetic technique:A new way of mapping reservoir boundary[D]. Chengdu:Chengdu University of Technology, 2006.
[21]	He Z X, Liu X J, Qiu W T, et al. Mapping reservoir boundary by borehole-surface TFEM:Two case studies[J]. The Leading Edge, 2005, 24(9):896-900.