地质统计学反演技术在薄储层预测中的应用
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摘要
以厄瓜多尔南部H-N油田M1层薄储层为例,阐述了研究区M1层储层预测难点和存在问题,提出针对性的储层预测方法技术。经过储层和围岩地球物理特征分析,论证了储层预测条件,确定了运用以地质统计学反演为核心的储层预测技术对该区进行储层预测研究,来解决该区储层薄(1～25 ft)、横向变化大、隐蔽性强的薄储层的识别;通过以地震、稀疏脉冲反演、地质统计学反演不同数据体间砂体进行对比分析,精细解释出该区砂体分布;经过无井、盲井和新钻井校验,实现了薄层的高精度预测,提高了预测精度(垂向分辨率达到5 ft)。该预测结果经过在H-N油田的实际应用和新钻井钻探证实,砂层钻遇率为100%,钻探符合率达82%,实现了该区新井产能的突破。
Taking M1 thin reservoir in H-N oilfield,Southern Ecuador,as an example,this paper documents the challenges and problems of thin reservoir prediction and presents relevant techniques and methods to tackle these problems.Based on analysis of geophysical characteristics of reservoirs and surrounding rocks,a geostatistical inversion technique is applied in this case to identify the thin(1-25ft)reservoirs with rapid lateral changes and strong concealment.Sand distribution is refined through correlation between different data volume including seismic interpretation,CSSI(Constrained Sparse Spike Inversion)and geostatistical inversion,and is further checked by non-well,random-wells and newly drilled wells.The accuracy of thin reservoir prediction is greatly enhanced to a vertical resolution up to 5ft.This technique is successfully applied in H-N oilfield and the new drilling data show that all the prediceted thin sand layers are encountered and the drilling coincidence rate is 82%.
Taking M1 thin reservoir in H-N oilfield,Southern Ecuador,as an example,this paper documents the challenges and problems of thin reservoir prediction and presents relevant techniques and methods to tackle these problems.Based on analysis of geophysical characteristics of reservoirs and surrounding rocks,a geostatistical inversion technique is applied in this case to identify the thin(1-25ft)reservoirs with rapid lateral changes and strong concealment.Sand distribution is refined through correlation between different data volume including seismic interpretation,CSSI(Constrained Sparse Spike Inversion)and geostatistical inversion,and is further checked by non-well,random-wells and newly drilled wells.The accuracy of thin reservoir prediction is greatly enhanced to a vertical resolution up to 5ft.This technique is successfully applied in H-N oilfield and the new drilling data show that all the prediceted thin sand layers are encountered and the drilling coincidence rate is 82%.
引文
[1]王香文,付维署,胡学智,等.储层预测技术在TA井区的应用研究,勘探地球物理进展[J].2009,32(1):65-67.Wang Xiwen,Fu Weishu,Hu Xuezhi,et al.Application of re-servoir prediction technology in TA well area[J].Progress in Exploration Geophysics,2009,32(1):65-67.
[2]单敬福,王峰,孙海雷,等.基于地震波阻抗反演的小层砂体预测技术——在大庆油田州57水平井区块的应用[J].石油与天然气地质,2010,31(2):212-218.Shan Jinfu,Wang Feng,Sui Hailei,et al.Prediction of sublayer sandstones based on wave impedance inversion in the wellblock of the horizontal well Zhou57[J].Oil&Gas Geology,2010,31(2):212-218.
[3]冯斌,吕爱民,王伟,等.河道砂油藏开发中后期配产配注方法及应用[J].石油与天然气地质,2011,32(6):934-939.Feng Bin,LüAimin,Wang Wei,et al.Approach and applica-tion of proration and injection allocation at the middle-late pro-duction stages in channel sandstone reservoirs[J].Oil&Gas Geology,2011,32(6):934-939.
[4]王西文,刘全新,苏明军,等.滚动勘探开发阶段精细储集层预测技术[J].石油勘探与开发,2002,29(6):51-53,71.Wang Xiwen,Liu Quanxin,Su Mingjun,et al.Precision predic-ting reservoirs on the stages of progressive of exploration and development[J].Petroleum Exploration and Development,2002,29(6):51-53,71.
[5]王西文,刘全新,周嘉玺,等.精细储层预测技术在板南5-3井区得应用[J].石油物探,2003,42(3):389-394.Wang Xiwen,Liu Quanxin,Zhou Jiaxi,et al.Application of fine reservoir prediction techniques in Bannan5-3oilfie d[J].Geophysical Prospecting for Petroleum,2003,42(3):389-394.
[6]柏冠军,吴汉宁,赵希刚,等.地震资料预测薄层厚度方法研究与应用[J].地球物理学进展,2006,21(2):554-558.Bai Guan jun,Wu Hanning,Zhao Xigang,et al.Research on prediction of thin bed thickness using seismic data and its application[J].Progress in Geophysics,,2006,21(2):554558.
[7]王香文,于常青,董宁,等.储层综合预测技术在鄂尔多斯盆地定北区块的应用[J].石油物探,2006,45(3):267271.Wang Xiangwen,Yu Changqing,Dong Ning,et al.Application of techniques of fine structure interpretation and formation prediction in Dingbei area of Ordos basin[J].Geophysical Prospecting for Petroleum,2006,45(3):267-271.
[8]黄军斌,高利军,高勇,等.辫状河流相薄砂体地震子波效应和识别方法[J].石油与天然气地质,2010,31(2):225231.Huang Junbin,Gao Lijun,Gao Yong,et al.Wavelet effect and recognition methods of thin sand bodies in braided river facies[J].Oil&Gas Geology,2010,31(2):225-231.
[9]李东安,宁俊瑞,刘振峰.用神经网络和地质统计学综合多元信息进行储层预测[J].石油与天然气地质,2010,31(4):493-498,503.Li Dongan,Ning Junrui and Liu Zhenfeng.Reservoir prediction with integrated information based on artificial neural network technology and geostatistics[J].Oil&Gas Geology,2010,31(4):493-498,503.
[10]李占东,赵伟,李阳,等.开发地震反演可行性研究及应用——以大庆长垣北部油田为例[J].石油与天然气地质,2011,32(5):797-806.Li Zhandong,Zhao Wei,Li Yang,et al.Feasibility study and application of development seismic inversion—a case study from northern Changyuan oilfield of Daqing[J].Oil&Gas Geology,2011,32(5):797-806.
[2]单敬福,王峰,孙海雷,等.基于地震波阻抗反演的小层砂体预测技术——在大庆油田州57水平井区块的应用[J].石油与天然气地质,2010,31(2):212-218.Shan Jinfu,Wang Feng,Sui Hailei,et al.Prediction of sublayer sandstones based on wave impedance inversion in the wellblock of the horizontal well Zhou57[J].Oil&Gas Geology,2010,31(2):212-218.
[3]冯斌,吕爱民,王伟,等.河道砂油藏开发中后期配产配注方法及应用[J].石油与天然气地质,2011,32(6):934-939.Feng Bin,LüAimin,Wang Wei,et al.Approach and applica-tion of proration and injection allocation at the middle-late pro-duction stages in channel sandstone reservoirs[J].Oil&Gas Geology,2011,32(6):934-939.
[4]王西文,刘全新,苏明军,等.滚动勘探开发阶段精细储集层预测技术[J].石油勘探与开发,2002,29(6):51-53,71.Wang Xiwen,Liu Quanxin,Su Mingjun,et al.Precision predic-ting reservoirs on the stages of progressive of exploration and development[J].Petroleum Exploration and Development,2002,29(6):51-53,71.
[5]王西文,刘全新,周嘉玺,等.精细储层预测技术在板南5-3井区得应用[J].石油物探,2003,42(3):389-394.Wang Xiwen,Liu Quanxin,Zhou Jiaxi,et al.Application of fine reservoir prediction techniques in Bannan5-3oilfie d[J].Geophysical Prospecting for Petroleum,2003,42(3):389-394.
[6]柏冠军,吴汉宁,赵希刚,等.地震资料预测薄层厚度方法研究与应用[J].地球物理学进展,2006,21(2):554-558.Bai Guan jun,Wu Hanning,Zhao Xigang,et al.Research on prediction of thin bed thickness using seismic data and its application[J].Progress in Geophysics,,2006,21(2):554558.
[7]王香文,于常青,董宁,等.储层综合预测技术在鄂尔多斯盆地定北区块的应用[J].石油物探,2006,45(3):267271.Wang Xiangwen,Yu Changqing,Dong Ning,et al.Application of techniques of fine structure interpretation and formation prediction in Dingbei area of Ordos basin[J].Geophysical Prospecting for Petroleum,2006,45(3):267-271.
[8]黄军斌,高利军,高勇,等.辫状河流相薄砂体地震子波效应和识别方法[J].石油与天然气地质,2010,31(2):225231.Huang Junbin,Gao Lijun,Gao Yong,et al.Wavelet effect and recognition methods of thin sand bodies in braided river facies[J].Oil&Gas Geology,2010,31(2):225-231.
[9]李东安,宁俊瑞,刘振峰.用神经网络和地质统计学综合多元信息进行储层预测[J].石油与天然气地质,2010,31(4):493-498,503.Li Dongan,Ning Junrui and Liu Zhenfeng.Reservoir prediction with integrated information based on artificial neural network technology and geostatistics[J].Oil&Gas Geology,2010,31(4):493-498,503.
[10]李占东,赵伟,李阳,等.开发地震反演可行性研究及应用——以大庆长垣北部油田为例[J].石油与天然气地质,2011,32(5):797-806.Li Zhandong,Zhao Wei,Li Yang,et al.Feasibility study and application of development seismic inversion—a case study from northern Changyuan oilfield of Daqing[J].Oil&Gas Geology,2011,32(5):797-806.
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