Lithologic Reservoirs ›› 2019, Vol. 31 ›› Issue (1): 106-112.doi: 10.12108/yxyqc.20190112

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Prediction of strata depth and hydrocarbon attributes by using VSP multi-wave data

CAI Zhidong1,2, LI Qing3, WANG Chong2, WANG Yong4, FAN Hua2   

  1. 1. School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China;
    2. New Resources Geophysical Exploration Division, Bureau of Geophysical Prospecting Inc., CNPC, Zhuozhou 072751, Hebei, China;
    3. Research Institute of Exploration and Development, PetroChina Tarim Oilfield Company, Korla 84100, Xinjiang, China;
    4, Geophysical Research Institute, Bureau of Geophysical Prospecting Inc., CNPC, Zhuozhou 072751, Hebei, China
  • Received:2018-06-16 Revised:2018-09-06 Online:2019-01-18 Published:2019-01-18

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Abstract: Prediction of pre-drilling strata information is necessary in the process of oil and gas exploration and development. VSP technology is a commonly used prediction method. Traditional VSP method only uses upgoing and downgoing waves to predict the depth of pre-drilled strata,and the accuracy of the predicted stratigraphic depth is limited. So far,few scholars have studied attribute prediction methods based on VSP data. A new method for predicting formation depth and hydrocarbon attributes by using VSP multi-wave information was proposed. This method makes full use of the abundant wave field information of VSP. Firstly,the multiple events related to the target layer were tracked in the data,and according to the tracked result,the discrete function groups were built,and the overdetermined equations were solved separately. Then the statistical weighting method was used to obtain the final prediction depth. This method can reduce the uncertainty of the prediction results and greatly improve the accuracy of the formation depth prediction. After obtaining accurate formation depth data,the differences between compressional wave and shear wave were calculated and used to predict the hydrocarbon attributes. The practical application effect was proved by two examples of VSP projects in western China.

Key words: vertical seismic, VSP multi-wave, strata depth prediction, hydrocarbon attributes

CLC Number: 

  • P631.4
[1] 朱光明. 垂直地震剖面方法. 北京:石油工业出版社,1988:360-369. ZHU G M. Vertical seismic profiling. Beijing:Petroleum Industry Press,1988:360-369.
[2] 王成礼.利用零井源距VSP资料自动预测钻头前方目的层深度.石油地球物理勘探,1988,23(3):355-357. WANG C L. Automatically predicting the depth of target below drilling bit by analyzing zero-offset VSP data. Oil Geophysical Prospecting,1988,23(3):355-357.
[3] WANG J,LIU Y,SUN Z,et al.Acoustic impedance inversion of zero-offset VSP data. Applied Geophysics,2009,6(2):150-158.
[4] 王建民,杨冬,魏修成,等.多分量地震资料预测松辽盆地兴城地区深层火山岩与有利含气带. 地球物理学报,2007,50(6):1914-1923. WANG J M,YANG D,WEI X C,et al. Predicting deep volcanic rocks and favorable gas zone near Xingcheng area in Songliao Basin using multi-component seismic data. Chinese Journal of Geophysics,2007,50(6):1914-1923.
[5] 李本才,曹卿荣,李珮,等. 垂直地震测井(VSP)技术在薄层砂体识别中的应用. 岩性油气藏,2010,22(1):109-113. LI B C,CAO Q R,LI P,et al. Application of VSP to the identification of thin sand. Lithologic Reservoirs,2010,22(1):109-113.
[6] 陈树民. PP-PS协同反演技术预测大庆深层火山岩含气储层.地球物理学报,2011,54(1):280-285. CHEN S M. Joint PP-PS inversion techniques and their application for predicting gas reservoir of deep volcanic in Daqing. Chinese Journal of Geophysics,2011,54(1):280-285.
[7] 张继国,牟风明. VSP横波速度反演实用性研究. 石油地球物理勘探,2006,41(6):697-701. ZHANG J G,MU F M. Study of practicality of VSP S-wave velocity inversion. Oil Geophysical Prospecting,2006,41(6):697-701.
[8] 陈林,邓勇,盖永浩,等.复杂断块构造时深转换方法探讨:以涠西南凹陷为例.地球物理学进展,2014,29(3):1121-1127. CHEN L,DENG Y,GAI Y H,et al. Exploration of time-depth conversion method in complicated fault block:Take Weixinan sag for example. Progress in Geophysics,2014,29(3):1121-1127.
[9] 严德天,王华,王家豪,等. 库车坳陷东部白垩系沉积体系分析及有利油气勘探区带预测. 地质学报,2006,80(3):382-389. YAN D T,WANG H,WANG J H,et al. Analysis of depositional systems and prediction of favorable regions of the cretaceous in the east part of the Kuqa Depression,Tarim Basin,Xinjiang. Acta Geologica Sinica,2006,80(3):382-389.
[10] 刘芬,朱筱敏,潘荣,等.低渗透储层形成及库车坳陷实例分析. 岩性油气藏,2014,26(3):28-37. LIU F,ZHU X M,PAN R,et al. Formation of low permeability reservoir and typical case analysis in Kuqa Depression. Lithologic Reservoirs,2014,26(3):28-37.
[11] 张荣虎,姚根顺,寿建峰,等. 沉积、成岩、构造一体化孔隙度预测模型. 石油勘探与开发,2011,38(2):145-151. ZHANG R H,YAO G S,SHOU J F,et al. An integration porosity forecast model of deposition,diagenesis and structure. Petroleum Exploration & Development,2011,38(2):145-151.
[12] 陈书平,汤良杰,贾承造,等. 库车坳陷西段盐构造及其与油气的关系. 石油学报,2004,25(1):30-34. CHEN S P,TANG L J,JIA C Z,et al. Salt tectonics in the western Kuqa Depression and its relation to oil and gas distribution. Acta Petrolei Sinica,2004,25(1):30-34.
[13] 蔡志慧,许志琴,唐哲民,等. 塔里木盆地东北缘库鲁克塔格地区的早古生代地壳变形以及造山时限. 中国地质,2011,38(4):855-867. CAI Z H,XU Z Q,TANG Z M,et al. The crustal deformation during the Early Paleozoic period and the timing of orogeny in Kuruktag area on the northeast margin of Tarim Basin. Geology in China,2011,38(4):855-867.
[14] CAI Z H,XU Z Q,YU S,et al. Neoarchean magmatism and implications for crustal growth and evolution of the Kuluketage region,northeastern Tarim Craton. Precambrian Research,2017:304.
[15] 张君劼,陈书平.克拉苏构造带盐上层与盐下层构造高点关系及石油地质意义.石油地球物理勘探,2004,39(4):484-487. ZHANG J J,CHEN S P. Relation of structural highs between overburden of salt and subsalt layers in Kelasu tectonic zone and petroleum geologic significance. Oil Geophysical Prospecting,2004,39(4):484-487.
[16] 雷德文,瞿建华,安志渊,等. 玛湖凹陷百口泉组低渗砂砾岩油气藏成藏条件及富集规律. 新疆石油地质,2015,36(6):642-647. LEI D W,QU J H,AN Z Y,et al. Hydrocarbon accumulation conditions and enrichment regularity of Low-permeability glutenite reservoirs of Baikouquan Formation in Mahu Sag,Junggar Basin. Xinjiang Petroleum Geology,2015,36(6):642-647.
[17] 谭开俊,王国栋,罗惠芬,等. 准噶尔盆地玛湖斜坡区三叠系百口泉组储层特征及控制因素. 岩性油气藏,2014,26(6):83-88. TAN K J,WANG G D,LUO H F,et al. Reservoir characteristics and controlling factors of the Triassic Baikouquan Formation in Mahu slope area,Junggar Basin. Lithologic Reservoirs, 2014,26(6):83-88.
[18] 况晏,司马立强,瞿建华,等. 致密砂砾岩储层孔隙结构影响因素及定量评价:以玛湖凹陷玛131井区三叠系百口泉组为例. 岩性油气藏,2017,29(4):91-100. KUANG Y,SIMA L Q,QU J H,et al. Influencing factors and quantitative evaluation for pore structure of tight glutenite reservoir:a case of the Triassic Baikouquan Formation in Ma 131 well field,Mahu Sag. Lithologic Reservoirs,2017,29(4):91-100.
[19] 雷德文,阿布力米提,唐勇,等. 准噶尔盆地玛湖凹陷百口泉组油气高产区控制因素与分布预测. 新疆石油地质,2014, 35(5):495-499. LEI D W,ABULIMITI,TANG Y,et al. Controlling factors and occurrence prediction of high oil-gas production zones in Lower Triassic Baikouquan Formation of Mahu Sag in Junggar Basin. Xinjiang Petroleum Geology,2014,35(5):495-499.
[20] 庞德新. 砂砾岩储层成因差异及其对储集物性的控制效应:以玛湖凹陷玛2井区下乌尔禾组为例. 岩性油气藏,2015, 27(5):149-154. PANG D X. Sedimentary genesis of sand-conglomerate reservoir and its control effect on reservoir properties:a case study of the lower Urho Formation in Ma 2 well block of Mahu Depression. Lithologic Reservoirs,2015,27(5):149-154.
[21] 张有平,盛世锋,高祥录. 玛湖凹陷玛2井区下乌尔禾组扇三角洲沉积及有利储层分布. 岩性油气藏,2015,27(5):204-210. ZHANG Y P,SHENG S F,GAO X L. Fan delta sedimentation and favorable reservoir distribution of the lower Urho Formation in Ma 2 well block of Mahu Depression. Lithologic Reservoirs,2015,27(5):204-210.
[22] 许多年,尹路,瞿建华,等. 低渗透砂砾岩"甜点"储层预测方法及应用:以准噶尔盆地玛湖凹陷北斜坡区三叠系百口泉组为例. 天然气地球科学,2015,26(增刊1):154-161. XU D N,YIN L,QU J H,et al. Prediction method of the low permeability Sandy-conglomerate "sweet point" reservoirs and its application:a case study of Mahu depression northern slope area in the Junggar Basin. Natural Gas Geoscience,2015,26(Suppl 1):154-161.
[23] 侯伯刚,杨池银,武站国,等. 地震属性及其在储层预测中的影响因素. 石油地球物理勘探,2004,39(5):553-558. HOU B G,YANG C Y,WU Z G,et al. Seismic attributes and their affected factors in reservoir prediction. Oil Geophysical Prospecting,2004,39(5):553-558.
[24] 冯昕鹏,李金付,聂建委,等.横波速度拟合技术在苏里格气田的应用.岩性油气藏,2012,24(6):106-109. FENG X P,LI J F,NIE J W,et al. Application of shear wave velocity fitting technology in Sulige Gas Field. Lithologic Reservoirs,2012,24(6):106-109.
[1] LI Bencai，CAO Qingrong，LI Pei，GUI Pan. Application of VSP to the identification of thin sand [J]. Lithologic Reservoirs, 2010, 22(1): 109-113.
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