济阳拗陷埕北306—桩海10下古生界缝洞型储层横向预测
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摘要
本文用测井资料对单井进行纵向精细预测,然后利用地震属性对储层地震响应特征进行定性分析,最后利用定量和定性相结合的方法,建立了地震属性与储层之间的对应关系,并用小波神经网络实现井约束条件下的地震属性参数,对缝洞型储层分布进行预测。预测结果根据研究区储层溶蚀空间的发育程度分为较发育、发育差及不发育等3个区域。在工区的北部、埕北305区块西部、桩海104—桩海101区块一线以西、桩海103以南等部位存在一些溶蚀空间较发育带。
In this paper well logging data were used to conduct vertical prediction for single well,then seismic attributes were used to carry out qualitative analysis for reservoir seismic response characteristics,at last by integration of quantitative analysis and qualitative analysis,the corresponding relationship between the seismic attributes and the reservoirs was established,and the well-constrained seismic attribute fractured-vuggy reservoir prediction was realized by using of wavelet neural networks.Based on development degree of reservoir dissolution space in study area,the prediction results were divided to 3 regions,the developed region,poorly developed region and undeveloped region.In the north part of the area,and on the west of North-Cheng 305 Block,the west of Zhuanghai 104 to Zhuanghai 101 Block and the south of Zhuanghai 103 and other areas,exist some dissolution space.
In this paper well logging data were used to conduct vertical prediction for single well,then seismic attributes were used to carry out qualitative analysis for reservoir seismic response characteristics,at last by integration of quantitative analysis and qualitative analysis,the corresponding relationship between the seismic attributes and the reservoirs was established,and the well-constrained seismic attribute fractured-vuggy reservoir prediction was realized by using of wavelet neural networks.Based on development degree of reservoir dissolution space in study area,the prediction results were divided to 3 regions,the developed region,poorly developed region and undeveloped region.In the north part of the area,and on the west of North-Cheng 305 Block,the west of Zhuanghai 104 to Zhuanghai 101 Block and the south of Zhuanghai 103 and other areas,exist some dissolution space.
引文
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[2]刘传虎.潜山油气藏概论.北京:石油工业出版社,2006:3～12
[3]刘传虎,贺振华,黄德济.碳酸盐岩潜山储层缝洞预测.北京:石油工业出版社,2006:81～149
[4]周英杰.裂缝性潜山油藏表征与预测.北京:石油工业出版社,2006:1～33
[5]周文.裂缝性油气储集层评价方法.四川成都:四川科学技术出版社,1998:159～179
[6]袁海峰,徐国盛,王威.济阳拗陷埕北306—桩海10古潜山下古生界储层的综合判识及分布规律.成都理工大学学报(自然科学版),2005,32(1):27～33
[7]Zhang Q,Beaveniste A.Wavelet networks.IEEE Trans on Neural Net works,1992,3(6):889～989
[8]Daubechies.The wavelet trandform,ti me-frequency localization and signal analysis.IEEE Trans On In-formation Theory,1990,36(5):226
[9]Kennedy J,Eberhart R C.Particle Swarm Opti mi-zation.In Proceeding of IEEE International Confer-ence on Neural Networks,Ⅳ.Perth,1995,1942～1948
[10]罗鑫,匡建超,瞿子易等.基于粒子群优化算法的小波神经网络缝洞型储层识别模型.物探化探计算技术,2009,31(3):213～217
[11]匡建超,曾剑毅,王众.模糊优选神经网络储层识别技术在长庆中部气田马五1段的应用.油气地质与采收率,2008,15(3):5～7
[12]张银德,匡建超,曾剑毅.基于粒子群算法的模糊优选神经网络储层识别模型.物探化探计算技术,2008,30(3):202～205
[13]Chen Quincy.Seismic attribute technology for reser-voir forecasting and monitoring,The Leading Edge,1997,16(5):445～448
[14]Jakub W.Finding Mini mal Reducts Using Genetic Algorithm.Institute of Computer Science Reports,Warsaw University of Technology,Warsaw,1995
[15]Nej man D.Arough Set Based Method of handwrit-ten numerals classification.Institute of Computer Science Reports,Warsaw University of Technology,Warsaw,1994
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