Study of time-varying reservoir permeability based on time-lapse seismic data
GUO Qi1,2, ZHUANG Tianlin3, HE Shumei3, LI Zhen1, WEI Pengpeng3, LIU Lijie1
1. Exploration and Development Research Institute, Shengli Oilfield Company, SINOPEC, Dong-ying, Shandong 257015, China; 2. Working Station for Postdoctoral Scientific Research, Shengli Oilfield Company, SINOPEC, Dongying, Shandong 257000, China; 3. Exploration and Development Research Institute, Dagang Oilfield Company, PetroChina, Tianjin 300280, China
Abstract：In the high-water-cut development stage, the prediction of reservoir permeability parameters is the key to tapping the potential of remaining oil. The conventional permeability data is obtained by logging interpretation. However, due to the influence of reservoir development and water injection, the logging data of production wells in the late development period cannot truly reflect the permeability of reservoirs in their original state. With the time-lapse seismic data of different water cut stages, seismic attributes are extracted and screened. As a result, five time-lapse seismic attributes are selected for the establishment of a data set, i.e., root-mean-square amplitude, reflection intensity, instantaneous frequency, amplitude envelope and dominant frequency. The relationship between time-lapse seismic data and logging permeability data is built by a partial least squares regression model, and then the permeability of production wells in low-, high- and ultra-high-water-cut development stages is further predicted, which yields a three-stage permeability model for the whole area. The distribution of permeability change multiples is verified by tracer data. The results show that the permeability change trend in the well group is consistent with tracer data. The established reservoir permeability prediction method can objectively reflect the permeability changes caused by water injection. The new method provides a basis for reservoir parameter prediction in different development stages.
ABBASZADEH-DEHGHANI M, BRIGHAM W E.Analysis of Unit Mobility Ration Well-to-well Tracer Flow to Determine Reservoir Heterogeneity[D].Stanford University, California, USA, 1983.
[2]
李中超, 陈洪德, 余成林, 等.严重非均质油藏注水开发流体动力地质作用[J].石油勘探与开发, 2013, 40(2):209-214.LI Zhongchao, CHEN Hongde, YU Chenglin, et al.Hydrodynamic geological process of water injection development of severely heterogeneous reservoirs[J].Petroleum Exploration and Development, 2013, 40(2):209-214
[3]
BUTLER R M.Thermal Recovery of Oil and Bitumen[M].Prentice Hall Inc., Englewood Cliffs, 1991.
[4]
HEARN C L, EBANKS W J, TYE R S, et al.Geolo-gical factors influencing reservoir performance of the Hartzog Draw Field, Wyoming[J].Journal of Petro-leum Technology, 1984, 36(8):1335-1344.
[5]
辛治国, 贾俊山, 孙波.优势流场发育阶段定量确定方法研究[J].西南石油大学学报(自然科学版), 2012, 34(2):119-124.XIN Zhiguo, JIA Junshan, SUN Bo.Research on the quantitative determination of the dominant flow field development stages[J].Journal of Southwest Petro-leum University(Science & Technology Edition), 2012, 34(2):119-124.
[6]
孙国.利用人工神经网络系统建立储层四维地质模型[J].油气地质与采收率,2004,11(3):4-6.SUN Guo.4D geological modeling using artificial neural network system[J].Petroleum Geology and Recovery Efficiency, 2004, 11(3):4-6.
[7]
徐守余,王艳红.利用神经网络建立储层宏观参数动态模型——以胜坨油田二区为例[J].油气地质与采收率,2005,12(6):10-12.XU Shouyu, WANG Yanhong.Dynamic model of re-servoir macro-parameters built by neural net-work:taking the second block of Shengtuo Oilfield as an example[J].Petroleum Geology and Recovery Efficiency, 2005, 12(6):10-12
[8]
彭仕宓,尹志军,李海燕.建立储层四维地质模型的新尝试——以冀东高尚堡沙三段储层模型的建立为例[J].地质论评,2004,50(6):662-667.PENG Shimi, YIN Zhijun, LI Haiyan.A new trial to build a 4-dimensional reservoir model:A case study of the reservoir model of member 3 of the Shahejie formation in Eastern Hebei province[J].Geological Review, 2004, 50(6):662-667.
[9]
束青林,张本华,徐守余.孤岛油田河道砂储集层油藏动态模型及剩余油研究[J].石油学报,2005, 26(3):64-67, 73.SHU Qinglin, ZHANG Benhua, XU Shouyu.Dyna-mic model and remaining oil distribution of fluvial reservoir in Gudao Oilfield[J].Acta Petrolei Sinica.2005, 26(3):64-67, 73.
[10]
李红南,王德军.油藏动态模型和剩余油仿真模型[J].石油学报,2006,27(5):83-87.LI Hongnan, WANG Dejun.Dynamic model of oil reservoir and simulation model of remaining oil[J].Acta Petrolei Sinica.2006, 27(5):83-87.
[11]
张枫, 李治平, 凌宗发, 等.黄骅坳陷唐家河油田四维地质建模研究[J].天然气地球科学, 2007, 18(6):897-902.ZHANG Feng, LI Zhiping, LING Zongfa, et al.Study on four-dimensional geological modeling of Tangjiahe oil-field in Huanghua depression[J].Natural Gas Geo-science, 2007, 18 (6):897-902.
[12]
么忠文, 李忠权.大庆杏树岗油田杏六中区储层四维地质建模[J].断块油气田, 2013, 20(6):744-747.YAO Zhongwen, LI Zhongquan.Four dimensional geological modeling of reservoir in Xingliuzhong District, Xingshugang oilfield, Daqing[J].Fault Block Oil and Gas Field, 2013, 20 (6):744-747.
卢宝坤,史謌.测井资料与地震属性关系研究综述[J].北京大学学报(自然科学版), 2005,41(1):154-160.LU Baokun, SHI Ge.A review of study on relation between well logging data and seismic attributes[J].Acta Scientiarum Naturalium Universitatis Pekinesis, 2005, 41(1):154-160.
[15]
何周,陈永军,郭文建.根据地震属性预测乌尔禾油田储集层孔隙度[J].新疆石油地质,2007,28(4):500-503.HE Zhou, CHEN Yongjun, GUO Wenjian.Prediction of reservoir porosity in Wuerhe Field of Junggar Basin using seismic attributes[J].Xinjiang Petroleum Geolo-gy, 2007, 28(4):500-503.
[16]
杜波,于正军,韩建军.多元线性回归法在DX北带砂砾岩储层孔隙度定量预测中的应用[J].天然气勘探与开发,2012,35(4):36-40.DU Bo, YU Zhengjun, HAN Jianjun.Application of multiple linear regression to porosity quantitative prediction of sandy conglomerate bodies in northern DX[J].Natrural Gas Exploration & Development, 2012, 35(4):36-40.
[17]
凌云,郭向宇,蔡银涛, 等.无基础地震观测的时移地震油藏监测技术[J].石油地球物理勘探,2013,48(6):938-947.LING Yun, GUO Xiangyu, CAI Yintao, et al.3.5D+4D seismic reservoir surveillance without baseline survey[J].Oil Geophysical Prospecting, 2013, 48(6):938-947.
[18]
吴俊,于兴河,李胜利,等.地震多属性变换法及其在孔隙度预测——以束鹿凹陷西斜坡台家庄区块为例[J].石油物探,2011,50(4):393-397.WU Jun, YU Xinghe, LI Shengli, et al.Seismic multi-attributes transformation method and its application on reservoir porosity prediction:Case study of Shulu Sag[J].Geophysical Prospecting for Petroleum, 2011, 50(4):393-397.
[19]
宫健,许淑梅,马云,等.基于地震属性的储层预测方法——以永安地区永3区块沙河街组二段为例[J].海洋地质与第四纪地质,2009,29(6):95-102.GONG Jian, XU Shumei, MA Yun, et al.Reservoir prediciing method based on seismic attribute analyses:A case study of Es2x in Yong 3 Block of Yong'an Area[J].Marine Geology & Quaternary Geology, 2009, 29(6):95-102.
[20]
赵改善.油藏动态监测技术的发展现状与展望:时延地震[J].勘探地球物理进展,2005,28(3):157-168.ZHAO Gaishan.The status and outlook of dynamic reservoir monitoring:Time-lapse seismic[J].Progress in Exploration Geophysics, 2005, 28(3):157-168.
[21]
韩大匡.关于高含水油田二次开发理念、对策和技术路线的探讨[J].石油勘探与开发,2010,37(5):583-591.HAN Dakuang.Discussions on concepts, counter-measures and technical routes for the redevelopment of high water-cut oilfields[J].Petroleum Exploration and Development, 2010, 37(5):583-591.
[22]
李绪宣,胡光义,范廷恩,等.基于地震驱动的海上油气田储层地质建模方法[J].中国海上油气,2011,23(3):143-147.LI Xuxuan, HU Guangyi, FAN Ting'en, et al.A me-thod of geological reservoir modeling based on seismic drive for offshore fields[J].China Offshore Oil and Gas, 2011, 23(3):143-147.
[23]
王治国,尹成,雷小兰,等.预测砂岩孔隙度的地震多属性优化模式对比[J].石油地球物理勘探,2011,46(3):442-448.WANG Zhiguo, YIN Cheng, LEI Xiaolan, et al.Multi-attribute optimization analysis for sandstone porosity prediction[J].Oil Geophysical Prospecting, 2011, 46(3):442-448.
[24]
郭莉, 王延斌, 刘伟新, 等.大港油田注水开发过程中油藏参数变化规律分析[J].石油实验地质, 2006, 28(1):85-90.GUO Li, WANG Yanbin, LIU Weixin, et al.Variation law of reservoir parameters during water flooding in Dagang oil field[J].Petroleum Geology & Experiment, 2006, 28(1):85-90.
[25]
郭向宇,凌云,高军, 等.井地联合地震勘探技术研究[J].石油物探,2010,49(5):438-450.GUO Xiangyu, LING Yun, GAO Jun, et al.Study of seismic-logging joint seismic exploration technology[J].Geophysical Prospecting for Petroleum,2010, 49(5):438-450.
[26]
李熙盛, 梁卫, 宋强功, 等.海上3.5维地震技术在南海惠州A油田"双特高"开发期的应用[J].石油地球物理勘探, 2020, 55(增刊):92-97.LI Xisheng, LIANG Wei, SONG Qianggong, et al.Application of offshore 3.5D seismic survey for oil field development at high water cut and high recovery stage[J].Oil Geophysical Prospecting, 2020, 55(S1):92-97.
[27]
撒利明, 甘利灯, 黄旭日, 等.中国石油集团油藏地球物理技术现状与发展方向[J].石油地球物理勘探, 2014, 49(3):611-626.SA Liming, GAN Lideng, HUANG Xuri, et al.The status and development direction of reservoir geophysics in CNPC[J].Oil Geophysical Prospecting, 2014, 49(3):611-626.
[28]
丁伟.互均衡处理技术的分析与应用[J].石油地球物理勘探, 2007, 42(1):17-23.DING Wei.Analysis and application of cross equalization processing technique[J].Oil Geophysical Prospecting, 2007, 42(1):17-23.
