岩性油气藏 ›› 2018, Vol. 30 ›› Issue (2): 110–119.doi: 10.12108/yxyqc.20180212

• 技术方法 • 上一篇    下一篇

孟加拉湾浅层气成藏条件及地震识别技术

左国平, 范国章, 吕福亮, 邵大力   

  1. 中国石油杭州地质研究院, 杭州 310023
  • 收稿日期:2017-07-04 修回日期:2017-09-18 出版日期:2018-03-21 发布日期:2018-03-21
  • 第一作者:左国平(1980-)男,硕士,工程师,主要从事地震储层预测、烃类检测等方面的研究工作。地址:(310023)浙江省杭州市西湖区西溪路920号杭州地质研究院。Email:zuogp_hz@petrochina.com.cn。
  • 基金资助:
    中国石油海外油气勘探生产技术支持项目“海外海域油气地质条件与关键评价技术研究”(编号:2016D-4303)资助

Accumulation conditions and seismic identification techniques of shallow gas in the Bay of Bengal

ZUO Guoping, FAN Guozhang, LYU Fuliang, SHAO Dali   

  1. PetroChina Hangzhou Research Institute of Geology, Hangzhou 310023, China
  • Received:2017-07-04 Revised:2017-09-18 Online:2018-03-21 Published:2018-03-21

摘要: 为了有效识别和预测孟加拉湾浅层气的分布规律,在弄清浅层气的成因、特点、油气成藏条件(浅层气类型、生储盖等)的基础上,通过对某三维地震资料解释,分析浅层气地震响应特征,明确浅层气的地震识别方法。结果表明,孟加拉湾浅层气为深水沉积中自生自储的构造-岩性复合型气藏,具有亮点、相位反转和低频等3种典型地震反射特征。在三维工区应用地震亮点技术、远近道振幅比较法、相位属性、频率属性、叠前AVO等技术方法进行了浅层气识别,预测成果与钻井结果吻合较好,为快速高效识别浅层气提供了技术依据。

关键词: 浅层气, 构造-岩性复合型气藏, 深水沉积, 地震响应特征, 孟加拉湾

Abstract: In order to identify and predict the distribution of shallow gas effectively in the Bay of Bengal, this paper demonstrated the genesis, features, and accumulations conditions of shallow gas, such as the type of shallow gas, source rocks, reservoirs and seals. According to the 3D seismic data interpretation and analysis of seismic characteristics of shallow gas, three typical characteristics of shallow gas were drawn:(1)Bright spot characteristics. It has "double track" seismic reflection and middle-high amplitude characteristics. (2)Phase reversal characteristics. It represents obvious polarity reversal phenomenon in the shallow gas boundary. (3)Low frequency. It has low frequency phenomenon in the shallow gas interval. A set of technical methods was formed to identify shallow gas, including bright spot technology, amplitude comparison method, phase attribute, frequency attribute, pre-stack AVO, etc. It provides a technical support to identify the shallow gas quickly and efficiently, and plays an important role in the shallow gas prediction and offshore geologic hazard prevention, and achieves good results in the Bay of Bengal.

Key words: shallow gas, structural-lithologic reservoirs, deep-water sediments, seismic response characteristics, the Bay of Bengal

中图分类号: 

  • P631.4
[1] 刘伯然, 宋海斌, 关永贤, 等.南海东北部陆坡冷泉系统的浅地层剖面特征与分析.地球物理学报, 2015, 58(1):247-256. LIU B R, SONG H B, GUAN Y X, et al. Characteristics and formation mechanism of cold seep system in the northeastern continental slope of South China Sea from sub-bottom profiler data. Chinese Journal of Geophysics, 2015, 58(1):247-256.
[2] 陈林, 宋海斌.海底天然气渗漏的地球物理特征及识别方法. 地球物理学进展, 2005, 20(4):1067-1073. CHEN L, SONG H B. Geophysical features and identification of natural gas seepage in marine environment. Progress in Geophysics, 2005, 20(4):1067-1073.
[3] 陈志德, 赵忠华.用于浅层气藏识别的地震处理技术.石油地球物理勘探, 2014, 49(5):857-865. CHEN Z D, ZHAO Z H. Seismic data processing techniques for shallow gas reservoir identification. Oil Geophysical Prospecting, 2014, 49(5):857-865.
[4] 沙子萱. 大庆长垣南部地区浅层气成因类型及富集规律研究. 科学技术与工程, 2011, 11(6):1325-1327. SHA Z X. The research of genetic type and accumulation rule of shallow gas in the south of Daqing Placanticline. Science Technology and Engineering, 2011, 11(6):1325-1327.
[5] 李迪, 吕延防, 刘宗堡.大庆长垣南部黑帝庙油层沉积特征及对浅层气分布的控制作用.大庆石油学院学报, 2009, 33(6):22-25. LI D, LYU Y F, LIU Z B. Sedimentary feature and shallow gas distribution rule of Heidimiao reservoir of southern Daqing Placanticline in Songliao Basin. Journal of Daqing Petroleum Institute, 2009, 33(6):22-25.
[6] 马贵明, 马宏霞, 邵大力, 等.孟加拉湾若开盆地深水沉积体系结构单元类型及演化模式. 海相油气地质, 2016, 21(1):41-51. MA G M, MA H X, SHAO D L, et al. Structural units and evolution model of deepwater depositional system in Rakhine Basin,Bay of Bengal. Marine Origin Petroleum Geology, 2016, 21(1):41-51.
[7] 夏永江, 王延斌, 王晓波.松辽盆地北部浅层气成藏主控因素及勘探有利区. 石油学报, 2012, 33(6):961-969. XIA Y J, WANG Y B, WANG X B. Main controlling factors in the shallow-gas reservoir formation and its favorable exploration area in the northern Songliao Basin. Acta Petrolei Sinica, 2012, 33(6):961-969.
[8] 李宏伟, 王九拴, 邵林海.油气检测技术在三湖浅层生物气勘探中的应用.石油地球物理勘探, 2013, 48(5):770-775. LI H W, WANG J S, SHAO L H. Application of oil and gas detection in Sanhu shallow biogenic gas exploration. Oil Geophysical Prospecting, 2013, 48(5):770-775.
[9] 程冰洁, 徐天吉, 李曙光.频变AVO含气性识别技术研究与应用.地球物理学报, 2012, 55(2):608-613. CHENG B J, XU T J, LI S G. Research and application of frequency dependent AVO analysis for gas recognition. Chinese Journal of Geophysics, 2012, 55(2):608-613.
[10] 李景叶, 陈小宏, 郝振江, 等. 多波时移地震AVO反演研究. 地球物理学报, 2005, 48(4):902-908. LI J Y, CHEN X H, HAO Z J, et al. A study on multiple timelapse seismic AVO inversion. Chinese Journal of Geophysics, 2005, 48(4):902-908.
[11] 王秀姣, 黄家强, 姜仁, 等.不同含气砂岩的AVO响应类型及其近似式误差分析.岩性油气藏, 2017, 29(5):120-126. WANG X J, HUANG J Q, JIANG R, et al. AVO response of different types of gas-bearing sandstone and error analysis of approximate formulas. Lithologic Reservoirs, 2017, 29(5):120-126.
[12] 汪云家, 王兴谋, 韩文功.飞雁滩地区浅层气藏地震识别及定量描述.石油地球物理勘探, 1995,30(增刊2):51-57. WANG Y J, WANG X M, HAN W G. Seismic identification and quantitative description of shallow gas reservoirs in Fei Yan Tan area. Oil Geophysical Prospecting, 1995, 30(Suppl 2):51-57.
[13] 郭智奇, 刘财, 李向阳, 等.非弹性层状介质地震波频变AVO 响应模拟及分析.地球物理学报, 2016, 59(2):664-672. GUO Z Q,LIU C,LI X Y,et al. Modeling and analysis of frequency-dependent AVO responses in inelastic stratified media. Chinese Journal of Geophysics, 2016, 59(2):664-672.
[14] 轩义华, 秦成岗, 汪瑞良, 等.分频AVO技术在珠江口盆地番禹天然气区含气性分析中的应用.石油地球物理勘探, 2010, 45(1):79-84. XUAN Y H, QIN C G, WANG R L, et al. Application of frequency division AVO technique in gas bearing analysis in Fanyu natural gas area,Pearl River Mouth Basin. Oil Geophysical Prospecting, 2010, 45(1):79-84.
[1] 尹虎, 屈红军, 孙晓晗, 杨博, 张磊岗, 朱荣幸. 鄂尔多斯盆地东南部三叠系长7油层组深水沉积特征及演化规律[J]. 岩性油气藏, 2024, 36(5): 145-155.
[2] 窦立荣, 李志, 杨紫, 张兴阳, 康海亮, 张明军, 张良杰, 丁梁波. 中国石油海外岩性地层油气藏勘探进展与前景展望[J]. 岩性油气藏, 2023, 35(6): 1-9.
[3] 史卜庆, 丁梁波, 马宏霞, 孙辉, 张颖, 许小勇, 王红平, 范国章. 东非海域大型深水沉积体系及油气成藏特征[J]. 岩性油气藏, 2023, 35(6): 10-17.
[4] 李恒萱, 温志新, 宋成鹏, 刘祚冬, 季天愚, 沈一平, 耿珂. 塞内加尔盆地演化过程与岩性油气藏勘探前景[J]. 岩性油气藏, 2023, 35(6): 45-53.
[5] 孙辉, 范国章, 王红平, 丁梁波, 左国平, 马宏霞, 庞旭, 许小勇. 东非鲁伍马盆地中始新统深水沉积特征及层序界面识别方法[J]. 岩性油气藏, 2023, 35(6): 106-116.
[6] 冯雪, 高胜利, 刘永涛, 王秀珍. 鄂尔多斯盆地陇东地区延长组三角洲前缘前积结构特征[J]. 岩性油气藏, 2021, 33(6): 48-58.
[7] 傅强, 李璟, 邓秀琴, 赵世杰, 庞锦莲, 孟鹏飞. 沉积事件对深水沉积过程的影响——以鄂尔多斯盆地华庆地区长6油层组为例[J]. 岩性油气藏, 2019, 31(1): 20-29.
[8] Carlos Zavala, 潘树新. 异重流成因和异重岩沉积特征[J]. 岩性油气藏, 2018, 30(1): 1-18.
[9] 韩光明,潘光超,付 琛,罗 琪,邵 远,汪 锐. 含气储层及盖层速度变化对地震响应和AVO 类型的影响[J]. 岩性油气藏, 2016, 28(2): 107-113.
[10] 张昌民,朱 锐,李少华,潘 进,杨 波. 广西潞城深水沉积地层构型特征及其石油地质意义[J]. 岩性油气藏, 2015, 27(4): 1-10.
[11] 王宏波,李相博,廖建波. 鄂尔多斯盆地华庆地区长6 油层组超低渗砂体成因分析[J]. 岩性油气藏, 2012, 24(5): 61-64.
[12] 肖盈,贺振华,黄德济. 碳酸盐岩礁滩相储层地震波场数值模拟[J]. 岩性油气藏, 2009, 21(1): 99-101.
[13] 袁胜学,王 江. 吐哈盆地鄯勒地区浅层气层识别方法研究[J]. 岩性油气藏, 2007, 19(3): 111-113.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] . 2022年 34卷 2 期 封面[J]. 岩性油气藏, 2022, 34(2): 0 .
[2] 李在光, 李琳. 以井数据为基础的AutoCAD 自动编绘图方法[J]. 岩性油气藏, 2007, 19(2): 84 -89 .
[3] 程玉红, 郭彦如, 郑希民, 房乃珍, 马玉虎. 井震多因素综合确定的解释方法与应用效果[J]. 岩性油气藏, 2007, 19(2): 97 -101 .
[4] 刘俊田,靳振家,李在光,覃新平,郭 林,王 波,刘玉香. 小草湖地区岩性油气藏主控因素分析及油气勘探方向[J]. 岩性油气藏, 2007, 19(3): 44 -47 .
[5] 商昌亮,付守献. 黄土塬山地三维地震勘探应用实例[J]. 岩性油气藏, 2007, 19(3): 106 -110 .
[6] 王昌勇, 郑荣才, 王建国, 曹少芳, 肖明国. 准噶尔盆地西北缘八区下侏罗统八道湾组沉积特征及演化[J]. 岩性油气藏, 2008, 20(2): 37 -42 .
[7] 王克, 刘显阳, 赵卫卫, 宋江海, 时振峰, 向惠. 济阳坳陷阳信洼陷古近纪震积岩特征及其地质意义[J]. 岩性油气藏, 2008, 20(2): 54 -59 .
[8] 孙洪斌, 张凤莲. 辽河坳陷古近系构造-沉积演化特征[J]. 岩性油气藏, 2008, 20(2): 60 -65 .
[9] 李传亮. 地层抬升会导致异常高压吗?[J]. 岩性油气藏, 2008, 20(2): 124 -126 .
[10] 魏钦廉,郑荣才,肖玲,马国富,窦世杰,田宝忠. 阿尔及利亚438b 区块三叠系Serie Inferiere 段储层平面非均质性研究[J]. 岩性油气藏, 2009, 21(2): 24 -28 .