Abstract：The recovery rate of the geological reserves of Bangladesh T gas field， which is in the middle and late stage of development， is only 56%. The latest drilling has found that the main reservoir interval is the water zone， indicating that the aquifer intrudes into the gas reservoir， and gas-water contact rises ununiformly. Therefore， it is urgent to accurately predict the distribution of remaining gas and guide subsequent well deployment. Based on post-stack three-dimensional seismic data， this paper attempts to directly predict remaining gas based on fluid mobility attribute analysis. Based on the analysis of the spectrum characteristics of the drilled gas and water zone， the fluid mobility attribute is extracted along the zone， and then the fluid prediction is carried out to determine the distribution characteristics of the remaining gas. The coincidence rate between the predicted results and the drilled ones is 85%. In order to better verify the reliability of the proposed method， the development geology analysis and reservoir numerical simulation methods are further used to predict the remaining gas. The results of the three methods are highly consistent， which indicates this technique has a good application value in the prediction of remaining gas in the T gas field， and the prediction results can be directly used to guide well deployment and optimization.
李艳静, 魏小东, 李建林, 陈建功, 王茜, 李佳佳. 流体活动性属性分析剩余气预测技术在孟加拉T气田的应用[J]. 石油地球物理勘探, 2023, 58(s1): 105-111.
LI Yanjing, WEI Xiaodong, LI Jianlin, CHEN Jiangong, WANG Xi, LI Jiajia. Remaining gas prediction of Bangladesh T gas field based on fluid mobility attribute analysis. Oil Geophysical Prospecting, 2023, 58(s1): 105-111.
申春生,胡治华,李林,等.中高含水期河流相砂体剩余油定量预测新方法[J].地质科技情报,2018,37(5): 49-53. SHEN Chunsheng,HU Zhihua,LI Lin,et al.A new method of quantitative prediction of remaining oil in fluvial facies sandstone at medium-high water cut stage[J].Geological Science and Technology Information,2018,37(5): 49-53.
[2]
高博禹,彭仕宓,王建波.剩余油形成与分布的研究现状及发展趋势[J].特种油气藏,2004,11(4): 7-11,22. GAO Boyu,PENG Shimi,WANG Jianbo.Research status and development trend of residual oil generation and distribution[J].Special Oil & Gas Reservoirs,2004,11(4): 7-11,22.
[3]
尹太举,张昌民,赵红静,等.依据高分辨率层序地层学进行剩余油分布预测[J].石油勘探与开发,2001,28(4): 79-82. YIN Taiju,ZHANG Changmin,ZHAO Hongjing,et al.Remaining oil distribution prediction based on high-resolution sequence stratigraphy[J].Petroleum Exploration and Development,2001,28(4): 79-82.
[4]
王喜双,曾忠,易维启,等.中国石油集团地球物理技术的应用现状及前景[J].石油地球物理勘探,2010,45(5): 768-777. WANG Xishuang,ZENG Zhong,YI Weiqi,et al.CNPC geophysical technology application status and prospects[J].Oil Geophysical Prospecting,2010,45(5): 768-777.
[5]
王喜双,甘利灯,易维启,等.油藏地球物理技术进展[J].石油地球物理勘探,2006,41(5): 606-613. WANG Xishuang,GAN Lideng,YI Weiqi,et al.Technical progress of reservoir geophysics[J].Oil Geophysical Prospecting,2006,41(5): 606-613.
[6]
夏吉庄,吕德灵,杨宏伟,等.基于多尺度地球物理资料的流体预测技术[J].石油地球物理勘探,2011,46(2): 293-298. XIA Jizhuang,LYU Deling,YANG Hongwei,et al.Fluid forecast based on multi-scale geophysical data[J].Oil Geophysical Prospecting,2011,46(2): 293-298.
[7]
左国平,范国章,蔡铮,等.地震分频AVO技术在孟加拉湾海域深水沉积储层烃类检测中的应用[J].天然气地球科学,2020,31(4): 567-577. ZUO Guoping,FAN Guozhang,CAI Zheng,et al.The application of seismic frequency decomposition AVO method in offshore deep-water sedimentary reservoirs hydrocarbon detection in the bay of Bengal[J].Natural Gas Geoscience,2020,31(4): 567-577.
[8]
印兴耀,李超,张世鑫.基于双相介质的地震流体识别[J].中国石油大学学报(自然科学版),2013,37(5): 38-43. YIN Xingyao,LI Chao,ZHANG Shixin.Seismic fluid discrimination based on two-phase media theory[J].Journal of China University of Petroleum (Edition of Natural Science),2013,37(5): 38-43.
[9]
李勇,陈洪德,许多,等.基于双相介质理论的油气检测方法及应用研究[J].西南石油大学学报(自然科学版),2010,32(3): 1-5. LI Yong,CHEN Hongde,XU Duo,et al.Hydrocarbon detection methods based on dual phase media theory and its applications[J].Journal of Southwest Petroleum University (Science & Technology Edition),2010,32(3): 1-5.
[10]
于亮亮.利用频谱特征检测油气——以辽河坳陷大平房地区为例[J].石油地球物理勘探,2018,53(增刊1): 191-195. YU Liangliang.Hydrocarbon detection with spectral characteristics: an example of Dapingfang in Liaohe Depression[J].Oil Geophysical Prospecting,2018,53(S1): 191-195.
[11]
代双合,陈志刚,于京波,等.流体活动性属性技术在KG油田储集层描述中的应用[J].石油勘探与开发,2010,37(5): 573-578. DAI Shuanghe,CHEN Zhigang,YU Jingbo,et al.Application of the fluid mobility attribute technique in the reservoir characterization of KG oilfield,Algeria[J].Oil Exploration and Development,2010,37(5): 573-578.
[12]
李永义.双相介质油气检测技术在龙西—杏西地区含油性预测中的应用[J].石油地球物理勘探,2017,52(增刊1): 72-76. LI Yongyi.Hydrocarbon detection based on two-phase medium for oil-bearing prediction in the Longxi-Xingxi area[J].Oil Geophysical Prospecting,2017,52(S1): 72-76.
[13]
杨静,闫晶晶.GeoEast流体活动性属性技术在S井区储层描述中的应用[J].石油地球物理勘探,2014,49(增刊1): 216-220. YANG Jing,YAN Jingjing.Reservoir characterization with fluid mobility attribute provided by GeoEast[J].Oil Geophysical Prospecting,2014,49(S1): 216-220.
[14]
王霞,汪关妹,刘东琴,等.地震体属性分析技术及应用[J].石油地球物理勘探,2012,47(增刊1): 45-49. WANG Xia,WANG Guanmei,LIU Dongqin,et al.Analysis of seismic volume attributes and their appli-cation[J].Oil Geophysical Prospecting,2012,47(S1): 45-49.
[15]
骆宗强,刘铁树,袭著纲.孟加拉国孟加拉盆地油气勘探潜力分析[J].中国石油勘探,2012,17(2): 67-73,90. LUO Zongqiang,LIU Tieshu,XI Zhugang.Exploration potential of Bengal Basin in Bangladesh[J].China Petroleum Exploration,2012,17(2): 67-73,90.
[16]
客伟利,童晓光.孟加拉盆地油气地质特征与勘探潜力[J].西安石油大学学报(自然科学版),2013,28(5): 15-20. KE Weili,TONG Xiaoguang.Hydrocarbon geological features and exploration potential of Bengal basin[J].Journal of Xi’an Shiyou University (Natural Science Edition),2013,28(5): 15-20.
