延长南部低渗透储层天然裂缝定量识别技术
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摘要
通常天然裂缝的定量识别是借助三维地震数据体建立三维裂缝模型,但在地表等条件恶劣的工区,三维地震数据质量往往较差,无法建立三维裂缝模型。文中以延长组南部地层为例,提出了一套在三维地震数据缺失情况下的天然裂缝定量识别技术。首先,利用成像测井对工区内的裂缝进行定量识别描述,确定常规测井系列对裂缝响应敏感的测井类型,建立微电极测井裂缝识别模型;然后,利用该模型对研究工区内的单井进行裂缝识别,再使用岩心描述资料对单井识别裂缝进行进一步标定,获得单井裂缝定量参数。结合野外地质勘测对研究区域内天然裂缝的产状及横纵向的分布特征描述,借助裂缝随机建模技术构建三维裂缝模型,为后续勘探开发提供技术指导和建议。
In general, with the assistance of 3 D seismic data, natural fracture can be identified and modeled by 3 D modeling.Unfortunately in some cases, 3D seismic data is not available due to survey conditions in the operation area. Based on a case study of southern Yanchang Formation, this paper introduces a technique of natural fracture identification by conventional logging interpretation in the absence of 3D seismic data. With comparison of image interpretation to the responses of conventional logging data, an interpretation model was built up to identify and evaluate nature fractures based on microresistivity log. According to core calibration, this technique was applied to each well in the study project. Integrated with geologic survey of outcrops, the results of analysis and evaluation of natural fractures can be used for discrete fracture network modeling to provide guidance and recommendations for exploration and development operations.
In general, with the assistance of 3 D seismic data, natural fracture can be identified and modeled by 3 D modeling.Unfortunately in some cases, 3D seismic data is not available due to survey conditions in the operation area. Based on a case study of southern Yanchang Formation, this paper introduces a technique of natural fracture identification by conventional logging interpretation in the absence of 3D seismic data. With comparison of image interpretation to the responses of conventional logging data, an interpretation model was built up to identify and evaluate nature fractures based on microresistivity log. According to core calibration, this technique was applied to each well in the study project. Integrated with geologic survey of outcrops, the results of analysis and evaluation of natural fractures can be used for discrete fracture network modeling to provide guidance and recommendations for exploration and development operations.
引文
[1]赵靖舟,吴少波,武富礼.论低渗透储层的分类与评价标准:以鄂尔多斯盆地为例[J].岩性油气藏,2007,19(3):28-31.
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[11]江涛.低渗透油藏储层裂缝预测技术研究[D].北京:中国地质大学(北京),2007.
[12]姜琳,王清晨,王香增,等.鄂尔多斯盆地东南部中生界地层节理发育特征与古应力场[J].岩石学报,2013,29(5):1774-1790.
[13]黄继新,彭仕宓,王小军,等.成像测井资料在裂缝和地应力研究中的应用[J].石油学报,2006,27(6):65-69.
[14]CARLOS M,ISABELLE L N,JOSSELIN K B,et al,Fracture aperture calculations from wireline and logging while drilling imaging tools[R].SPE 170848,2014.
[15]刘国范.石油测井[M].北京:石油工业出版社,2010:30-50.
[16]程兰,王晨光,周威.塔河油田三叠系水淹层测井响应特征及识别[J].石油实验地质,2017,39(增刊1):17-22.
[2]李道品.低渗透油田概念及我国储量分布状况[J].低渗透油气田,1996,1(1):1-8.
[3]李荣西,段立志,张少妮,等.鄂尔多斯盆地低渗透油气藏形成研究现状与展望[J].地球科学与环境学报,2011,33(4):364-372.
[4]胡文瑞.中国低渗透油气的现状与未来[J].中国石油企业,2009,11(6):29-37.
[5]程敬华,李荣西,覃小丽,等.成岩相对低渗透储层砂岩岩石力学性质的控制:以鄂尔多斯盆地东部上古生界天然气储层为例[J].石油学报,2016,37(10):1256-1264.
[6]杜江民,张小莉,王青春,等.柴达木盆地英西地区E32储层裂缝发育特征[J].兰州大学学报(自然科学版),2017,53(4):452-458.
[7]潘欣,周立发,刘彬辉,等.鄂尔多斯盆地中西部下白垩统露头区裂缝研究[J].断块油气田,2010,17(4):430-433.
[8]王峭梅,荆玲,赵泳,等.文留地区泥岩裂缝油气地球化学特征分析[J].断块油气田,2007,14(4):4-6.
[9]谭海芳,师桂祥,申梅英,等.利用常规测井资料识别砂泥岩中裂缝的方法研究[J].断块油气田,2004,11(6):81-82.
[10]汪功怀,邓明霞,宋萍,等.东濮凹陷沙三上盐间泥岩裂缝油气藏地震识别及描述[J].断块油气田,2011,18(4):461-464.
[11]江涛.低渗透油藏储层裂缝预测技术研究[D].北京:中国地质大学(北京),2007.
[12]姜琳,王清晨,王香增,等.鄂尔多斯盆地东南部中生界地层节理发育特征与古应力场[J].岩石学报,2013,29(5):1774-1790.
[13]黄继新,彭仕宓,王小军,等.成像测井资料在裂缝和地应力研究中的应用[J].石油学报,2006,27(6):65-69.
[14]CARLOS M,ISABELLE L N,JOSSELIN K B,et al,Fracture aperture calculations from wireline and logging while drilling imaging tools[R].SPE 170848,2014.
[15]刘国范.石油测井[M].北京:石油工业出版社,2010:30-50.
[16]程兰,王晨光,周威.塔河油田三叠系水淹层测井响应特征及识别[J].石油实验地质,2017,39(增刊1):17-22.