利用地震资料约束小尺度离散裂缝的空间分布
|
摘要
离散裂缝网络模型能够表征储层任意尺度上的非均质性,已经成为裂缝性油藏描述的一项先进技术。在离散裂缝网络模型建模过程中,应视裂缝尺度不同采用不同的方法:易识别的大尺度裂缝一般采用确定性建模方法;难以识别的小尺度裂缝一般采用基于示性点过程的随机建模方法。针对小尺度裂缝随机建模过程中裂缝片空间位置的确定展开研究,提出了一种能够利用地震资料约束井间裂缝分布的方法。该方法在裂缝密度模型建模的基础上,先将其转化为概率模型,再以概率模型作"中介",并同一定的终止条件相结合,最后确定裂缝片位置,解决了井点处裂缝密度同控制裂缝生成的密度不一致的问题。通过实例验证了该方法的可行性。
Discrete fracture network(DFN) model can depict the heterogeneity of fractured reservoir on any scale,which has become an advanced technology in reservoir characterization.During reservoir modeling,fractures with different scales are described by different methods.Large-scale fractures which can be identified are described by deterministic modeling method,while small ones which are difficult to identify are described by stochastic method based on marked point process.In this paper,in view of the problem of determination of fracture location during stochastic modeling of small-scale fracture,a new constraining method for fracture spatial distribution was proposed by using seismic data.In this method,fracture density model is transformed into probability model at first,and then probability model combined with termination condition is used to locate the fractures,which resolves the inconsistent problem of the density generated by controlling fracture and fracture density at well point.At last,an example is proposed to verify the method.
Discrete fracture network(DFN) model can depict the heterogeneity of fractured reservoir on any scale,which has become an advanced technology in reservoir characterization.During reservoir modeling,fractures with different scales are described by different methods.Large-scale fractures which can be identified are described by deterministic modeling method,while small ones which are difficult to identify are described by stochastic method based on marked point process.In this paper,in view of the problem of determination of fracture location during stochastic modeling of small-scale fracture,a new constraining method for fracture spatial distribution was proposed by using seismic data.In this method,fracture density model is transformed into probability model at first,and then probability model combined with termination condition is used to locate the fractures,which resolves the inconsistent problem of the density generated by controlling fracture and fracture density at well point.At last,an example is proposed to verify the method.
引文
[1]National Research Council.Rock fractures and fluid flow:Contemporaryunderstanding and applications[M].Washington D C:National AcademyPress,1996:316-376.
[2]周德华,焦方正,葛家理.一种油气藏裂缝网络模拟优化生成技术[J].断块油气田,2002,9(4):30-32.
[3]王建华.DFN模型裂缝建模新技术[J].断块油气田,2008,15(6):55-58.
[4]于青春,薛果夫,陈德基.裂隙岩体一般块体理论[M].北京:中国水利水电出版社,2006:5-30.
[5]范晓丽,苏培东,闰丰明.储层裂缝的研究内容及方法[J].断块油气田,2009,16(6):40-42.
[6]张淑娟,王延斌,梁星如,等.蚂蚁追踪技术在潜山油藏裂缝预测中的应用[J].断块油气田,2011,18(1):51-54.
[7]薛永超.新立油田低渗透油层裂缝模型研究[J].断块油气田,2010,17(4):462-465.
[8]赵彬,侯加根,刘钰铭,等.基于示点性过程模拟的碳酸盐岩裂缝型储层建模方法[J].科技导报,2011,29(3):39-43.
[9]Geier Joel.Discrete feature model(DFM)user documentation[M].Marviken:SKI,2008.
[10]杨坚,吕心瑞,李江龙,等.裂缝性油藏离散裂缝网络随机生成及数值模拟[J].油气地质与采收率,2011,18(6):74-77.
[11]徐维胜,龚彬,何川,等.基于离散裂缝网络模型的储层裂缝建模[J].大庆石油学院学报,2011,35(3):13-16.
[12]唐永,梅廉夫,张春生,等.基于离散裂缝网络模型裂缝储层的随机模拟:以王窑区块为例[J].地质科技情报,2010,29(5):71-77.
[13]郑松青,姚志良.离散裂缝网络随机建模方法[J].石油天然气学报,2009,31(4):106-110.
[14]姚军,王子胜,张允,等.天然裂缝性油藏的离散裂缝网络数值模拟方法[J].石油学报,2010,31(2):284-288.
[15]张允,袁向春,姚军,等.离散裂缝性油藏数值模拟方法[J].大庆石油学院学报,2010,34(3):80-85.
[2]周德华,焦方正,葛家理.一种油气藏裂缝网络模拟优化生成技术[J].断块油气田,2002,9(4):30-32.
[3]王建华.DFN模型裂缝建模新技术[J].断块油气田,2008,15(6):55-58.
[4]于青春,薛果夫,陈德基.裂隙岩体一般块体理论[M].北京:中国水利水电出版社,2006:5-30.
[5]范晓丽,苏培东,闰丰明.储层裂缝的研究内容及方法[J].断块油气田,2009,16(6):40-42.
[6]张淑娟,王延斌,梁星如,等.蚂蚁追踪技术在潜山油藏裂缝预测中的应用[J].断块油气田,2011,18(1):51-54.
[7]薛永超.新立油田低渗透油层裂缝模型研究[J].断块油气田,2010,17(4):462-465.
[8]赵彬,侯加根,刘钰铭,等.基于示点性过程模拟的碳酸盐岩裂缝型储层建模方法[J].科技导报,2011,29(3):39-43.
[9]Geier Joel.Discrete feature model(DFM)user documentation[M].Marviken:SKI,2008.
[10]杨坚,吕心瑞,李江龙,等.裂缝性油藏离散裂缝网络随机生成及数值模拟[J].油气地质与采收率,2011,18(6):74-77.
[11]徐维胜,龚彬,何川,等.基于离散裂缝网络模型的储层裂缝建模[J].大庆石油学院学报,2011,35(3):13-16.
[12]唐永,梅廉夫,张春生,等.基于离散裂缝网络模型裂缝储层的随机模拟:以王窑区块为例[J].地质科技情报,2010,29(5):71-77.
[13]郑松青,姚志良.离散裂缝网络随机建模方法[J].石油天然气学报,2009,31(4):106-110.
[14]姚军,王子胜,张允,等.天然裂缝性油藏的离散裂缝网络数值模拟方法[J].石油学报,2010,31(2):284-288.
[15]张允,袁向春,姚军,等.离散裂缝性油藏数值模拟方法[J].大庆石油学院学报,2010,34(3):80-85.
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心