渤南油田五区沙三段低渗透储层测井评价
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摘要
渤南油田五区位于渤南油田的东南部,主要含油层系为沙三段第6和第9砂组。由于研究区沙三段储层埋藏深度大,储层物性较差,非均质性严重,导致测井参数难以确定。本文在对研究区储层“四性”特征及其内在关系研究的基础上,建立了孔渗饱及泥质含量参数测井解释模型,确定了有效厚度划分标准,形成了一套适用的测井解释评价方法,对该油田的低渗透储层评价及开发具有重要意义。
首先对研究区储层基本地质特征进行了深入的分析,对沙三段的地层发育特征、构造特征和沉积特征进行了研究,认为研究区沙三段地层多呈薄层细砂岩、粉砂岩与厚层泥岩互层沉积,主要发育有扇三角洲前缘亚相与浊积扇扇中亚相,储层多属于中孔低渗透,物性一般随埋藏深度的增加而变差。本论文重点分析了研究区的岩心、测井和试油试采资料,对沙三段储层岩性、物性、含油性及电性特征进行了深入研究,系统分析了研究区储层的“四性”关系。在此基础之上,结合研究区实际情况,分层位建立了泥质含量、孔隙度、渗透率及含油饱和度的测井解释模型,较准确的求取了泥质含量、孔隙度、渗透率及含油饱和度等储层物性参数,并利用岩心、试油资料对所建的解释模型进行了检验;根据研究区试油试采资料确定了有效厚度划分标准,同时分析了储层中存在的夹层的测井响应特征并进行了扣除。本文还对水淹层的测井曲线变化特征做了系统的分析,并根据这些特征实现了对研究区水淹层的定性解释。在认真研究分析研究区实际生产资料的基础上综合含水fw值、自然电位曲线和感应电导率曲线响应值建立了水淹级别的识别图板,并以此图板为标准,对研究区水淹层做了定量解释。利用测井解释参数集总的数据分析了储层参数空间分布特征,求取了层内渗透率非均质参数,最后根据灰关联分析理论对储层分小层进行了综合评价。
The Fifth District is situated southeast of Bonan Oil Field,the central oil-bearing series is the sixth and ninth sand group of the Es3.The Es3 has the following characteristics: deep buried depth, bad physical property and complex pore texture, so it is difficult for computing log reservoir parameters. Therefore, analyzing reservoir four characteristics (lithology, physical property, oil-bearing property, electronic property characteristics) and their correlations, founding suitable clay content and porosity, permeability, oil saturation parameters log interpretation model, determining effective thickness interpretation standard, Establishing practicable log interpretation methods in the reservoirs is significant for the Bonan oil filed to develop effectively.
Firstly,through the investigation of reservoir basic geological characteristics of the study region, stratigraphic characteristics, Structural characteristics and sedimentary characteristics are studied. Stratigraphic characteristics are mostly interbedded of thin packsand、siltstone and thick mudstone. The sedimentary facies is mainly delta front and turbidite fan subfacies. Many reservoirs are mediμm porosity and mediμm-low permeability, and with the increase of buried depth reservoir physical property become worse. This thesis focus on analyzing core section analysis data, well log data and testing oil data, deeply studying rsservoir lithology, physical property, oil-bearing property and electronic characteristics, systematically analyzing reservoir four property correlations. On this basis, combined the actual situation of the district, the study region is layering to establish suitable clay content and porosity, permeability, oil saturation parameters log interpretation model. and make use of core section analysis data and testing oil data verifying interpretation model. And again, effective thickness interpretation standard is determined according to testing oil data. And log response characteristics of the interlayer in the reservoirs are also analyzed and deducted. In accordance with the total data of log interpretation parameters, spatial distributed characteristics of reservoir parameters are analyzed. Permeability heterogeneity parameters in layer are calculated, and overall, permeability heterogeneity intensity in layer is mediμm, partly strong. This paper discuss the variation features of well logging curves corresponding to water flooded zone, and have a systematic analyse. And on the basis of characteristic, achieved quality interpretation of water-flooded zone in region of interest. Finally, it is suitable to make use of gray relational theory for comprehensive evaluation between layers.
首先对研究区储层基本地质特征进行了深入的分析,对沙三段的地层发育特征、构造特征和沉积特征进行了研究,认为研究区沙三段地层多呈薄层细砂岩、粉砂岩与厚层泥岩互层沉积,主要发育有扇三角洲前缘亚相与浊积扇扇中亚相,储层多属于中孔低渗透,物性一般随埋藏深度的增加而变差。本论文重点分析了研究区的岩心、测井和试油试采资料,对沙三段储层岩性、物性、含油性及电性特征进行了深入研究,系统分析了研究区储层的“四性”关系。在此基础之上,结合研究区实际情况,分层位建立了泥质含量、孔隙度、渗透率及含油饱和度的测井解释模型,较准确的求取了泥质含量、孔隙度、渗透率及含油饱和度等储层物性参数,并利用岩心、试油资料对所建的解释模型进行了检验;根据研究区试油试采资料确定了有效厚度划分标准,同时分析了储层中存在的夹层的测井响应特征并进行了扣除。本文还对水淹层的测井曲线变化特征做了系统的分析,并根据这些特征实现了对研究区水淹层的定性解释。在认真研究分析研究区实际生产资料的基础上综合含水fw值、自然电位曲线和感应电导率曲线响应值建立了水淹级别的识别图板,并以此图板为标准,对研究区水淹层做了定量解释。利用测井解释参数集总的数据分析了储层参数空间分布特征,求取了层内渗透率非均质参数,最后根据灰关联分析理论对储层分小层进行了综合评价。
The Fifth District is situated southeast of Bonan Oil Field,the central oil-bearing series is the sixth and ninth sand group of the Es3.The Es3 has the following characteristics: deep buried depth, bad physical property and complex pore texture, so it is difficult for computing log reservoir parameters. Therefore, analyzing reservoir four characteristics (lithology, physical property, oil-bearing property, electronic property characteristics) and their correlations, founding suitable clay content and porosity, permeability, oil saturation parameters log interpretation model, determining effective thickness interpretation standard, Establishing practicable log interpretation methods in the reservoirs is significant for the Bonan oil filed to develop effectively.
Firstly,through the investigation of reservoir basic geological characteristics of the study region, stratigraphic characteristics, Structural characteristics and sedimentary characteristics are studied. Stratigraphic characteristics are mostly interbedded of thin packsand、siltstone and thick mudstone. The sedimentary facies is mainly delta front and turbidite fan subfacies. Many reservoirs are mediμm porosity and mediμm-low permeability, and with the increase of buried depth reservoir physical property become worse. This thesis focus on analyzing core section analysis data, well log data and testing oil data, deeply studying rsservoir lithology, physical property, oil-bearing property and electronic characteristics, systematically analyzing reservoir four property correlations. On this basis, combined the actual situation of the district, the study region is layering to establish suitable clay content and porosity, permeability, oil saturation parameters log interpretation model. and make use of core section analysis data and testing oil data verifying interpretation model. And again, effective thickness interpretation standard is determined according to testing oil data. And log response characteristics of the interlayer in the reservoirs are also analyzed and deducted. In accordance with the total data of log interpretation parameters, spatial distributed characteristics of reservoir parameters are analyzed. Permeability heterogeneity parameters in layer are calculated, and overall, permeability heterogeneity intensity in layer is mediμm, partly strong. This paper discuss the variation features of well logging curves corresponding to water flooded zone, and have a systematic analyse. And on the basis of characteristic, achieved quality interpretation of water-flooded zone in region of interest. Finally, it is suitable to make use of gray relational theory for comprehensive evaluation between layers.
引文
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[6]王振奇,侯国伟,张昌民.赵凹油田安棚区深层系低渗致密砂岩储层特征[J].石油与天然气地质,2001,22(4):373-377
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[8]郑浚茂,应凤祥.煤系地层的砂岩储层特征及成岩模式[J].石油学报,1997,18(4):19-24
[9]马文杰,陈丽华,王雪松.我国致密碎屑岩天然气储层特征[J].低渗透油气田,1997,2(4):8-13
[10]杨晓萍,赵文智,邹才能.低渗透储层成因机理及优质储层形成与分布[J].石油学报,2007,28(4):57-58
[11]刘伟,复杂低渗透油气储层测井评价[D].东营:中国石油大学(华东),2009,17-21
[12]高楚桥,谭廷栋.常见测井测井响应参数的理论计算[J].石油地球物理勘探,2004,27(2):104-107
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[14]李振英.水淹层测井解释方法研究[D].成都:西南石油学院,2004
[15]慈建发,何世明,李振英,等.水淹层测井发展现状与未来[J].天然气工业,2005,25(7):44-46
[16]李桢,骆淼,杨曦,等.水淹层测井解释方法综述[J].工程地球物理学报,2006,3(4):289-292
[17]韩志明,王宪成.高含水期水淹层解释方法研究[J].测井技术,2000,24(5):333-336
[18]黄宏才.高矿化度地层水地区水淹层识别的几种实用方法[J].断块油气田,2002,9(3):54-56
[19]赵澄林,朱平,陈方鸿.高邮凹陷高分辨率层序地层学及储层研究[M].北京:石油工业出版社,2001:31-49
[20]谢然红,肖立志,张建民,等.低渗透储层特征与测井评价方法[J].中国石油大学学报(自然科学版),2006,30(1):47-55
[21]张凡雷.高邮凹陷北斜坡阜三段低渗透储层测井评价[D].东营:中国石油大学(华东),2009
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