海拉尔盆地储层特征及开发技术研究
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摘要
本文对海拉尔盆地的储层特征和渗流规律进行了研究,评估了不同区块的开发风险,对不同区块注CO2可行性进行了论证,并在室内和矿场开展了注活性水的研究,为海拉尔盆地合理高效开发提供理论指导和技术支持。
通过对海拉尔盆地乌东、贝中和中北三个区块的测井资料、岩心和试油资料的综合分析,编制了三个区块油水识别图版,在此基础上,对三个区块的单井进行精细油层厚度解释,并利用Petrel软件对三个区块进行了地质建模。
利用扫描电镜、铸体薄片、常规压汞、恒速压汞、核磁共振和物理模拟等实验分析乌东、贝中和中北三个区块的储层特征和渗流规律。将恒速压汞和核磁共振技术相结合,建立了海拉尔盆地不同区块不同级别渗透率可动流体分布图谱,可快速对不同区块开发风险进行评估。
综合细管实验、组分分析、微观实验、溶胀实验、核磁共振技术、岩芯驱替物理模拟和油藏数值模拟多种方法对海拉尔盆地不同区块注CO2气体室内可行性进行了研究。乌东原油适合采用CO2非混相开发方式；贝中原油适合CO2驱油,但存在明显的堵塞；中北原油最小混相压力低,适合CO2混相驱。
通过室内海拉尔原油与活性水体系界面张力、接触角、吸附量和动态驱替物理模拟等实验,优选出适合海拉尔盆地的活性水配方,室内实验可以提高采出程度16.1%,在海拉尔盆地贝16断块进行了活性水矿场试验,两口注水井注入量增加了26.9%。
Hailar basin's reservoir characteristic and the seepage law were be researched, appraised the different area development risk, assessed the CO2 feasibility to the different sub-area, and carried out the activated water research in lab and practice, rovided the theory instruction and the technical support for the Hailar basin reasonable highly effective development.
The oil and water identification charts were made by the analysis of log data, core, and comprehensive testing data of the three blocks WuDong, BeiZhong and ZhongBei in Hailar basin, the fine interpretation of single well oil thickness were made and the geological models were got by the three blocks Petrel software on the three blocks.
The reservoir characteristics and seepage law of the three oil blocks WuDong, BeiZhong and ZhongBei were gained by Using scanning electron microscopy, thin section of rock, conventional mercury injection, rate-controlled mercury penetration, nuclear magnetic resonance and physical simulation experiment. The movable fluid distribution map of different levels of penetration in different blocks of the Hailar Basin was built. The combination of rate-controlled mercury penetration and nuclear magnetic resonance technique, the development risk of different block can be quickly assessed.
Based on methods of slim tube displacement test, crude oil component analysis, microscopic experiment, swelling test, nuclear megnetic resonance apparatus, core displacement experiment and numerical reservoir simulation, CO2 flooding feasibility assessment of Hailar basin is accomplished. Results show that crude oil of Wudong, Beizhong and Zhongbei are suitable for CO2.
Active water agent for Hailar basin is optimized and the recovery ratio can be raise 16.1% in lab experiment.In the oilfield test, the water flooding of two water wells increases 26.9%.
Keywords:Hailar Basin, Reservoir Characterization, geology model, nuclear magnetic resonance, CO2 Flooding
通过对海拉尔盆地乌东、贝中和中北三个区块的测井资料、岩心和试油资料的综合分析,编制了三个区块油水识别图版,在此基础上,对三个区块的单井进行精细油层厚度解释,并利用Petrel软件对三个区块进行了地质建模。
利用扫描电镜、铸体薄片、常规压汞、恒速压汞、核磁共振和物理模拟等实验分析乌东、贝中和中北三个区块的储层特征和渗流规律。将恒速压汞和核磁共振技术相结合,建立了海拉尔盆地不同区块不同级别渗透率可动流体分布图谱,可快速对不同区块开发风险进行评估。
综合细管实验、组分分析、微观实验、溶胀实验、核磁共振技术、岩芯驱替物理模拟和油藏数值模拟多种方法对海拉尔盆地不同区块注CO2气体室内可行性进行了研究。乌东原油适合采用CO2非混相开发方式；贝中原油适合CO2驱油,但存在明显的堵塞；中北原油最小混相压力低,适合CO2混相驱。
通过室内海拉尔原油与活性水体系界面张力、接触角、吸附量和动态驱替物理模拟等实验,优选出适合海拉尔盆地的活性水配方,室内实验可以提高采出程度16.1%,在海拉尔盆地贝16断块进行了活性水矿场试验,两口注水井注入量增加了26.9%。
Hailar basin's reservoir characteristic and the seepage law were be researched, appraised the different area development risk, assessed the CO2 feasibility to the different sub-area, and carried out the activated water research in lab and practice, rovided the theory instruction and the technical support for the Hailar basin reasonable highly effective development.
The oil and water identification charts were made by the analysis of log data, core, and comprehensive testing data of the three blocks WuDong, BeiZhong and ZhongBei in Hailar basin, the fine interpretation of single well oil thickness were made and the geological models were got by the three blocks Petrel software on the three blocks.
The reservoir characteristics and seepage law of the three oil blocks WuDong, BeiZhong and ZhongBei were gained by Using scanning electron microscopy, thin section of rock, conventional mercury injection, rate-controlled mercury penetration, nuclear magnetic resonance and physical simulation experiment. The movable fluid distribution map of different levels of penetration in different blocks of the Hailar Basin was built. The combination of rate-controlled mercury penetration and nuclear magnetic resonance technique, the development risk of different block can be quickly assessed.
Based on methods of slim tube displacement test, crude oil component analysis, microscopic experiment, swelling test, nuclear megnetic resonance apparatus, core displacement experiment and numerical reservoir simulation, CO2 flooding feasibility assessment of Hailar basin is accomplished. Results show that crude oil of Wudong, Beizhong and Zhongbei are suitable for CO2.
Active water agent for Hailar basin is optimized and the recovery ratio can be raise 16.1% in lab experiment.In the oilfield test, the water flooding of two water wells increases 26.9%.
Keywords:Hailar Basin, Reservoir Characterization, geology model, nuclear magnetic resonance, CO2 Flooding
引文
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[6]康德江.贝尔凹陷布达特群潜山油气成藏规律研究[D].黑龙江,大庆石油学院,2006：24～37.
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[8]李文学.贝尔凹陷布达特群潜山油气成藏机理及主控因素研究[D].黑龙江,大庆石油学院,2006：33～73.
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[13]李占东,周件林,文华等.海拉尔盆地贝西斜坡北部地区储层特征及影响因素分析[J].岩石矿物学杂志,2007,27(1)：45-51.
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[19]张守谦等.石油地球物理测井[M].北京：石油工业出版社,1988.
[20]张敏,刘利,黄勇军.数理统计方法在海拉尔地区油水层识别中的应用[C].中国地球物理,2008.
[21]汪江涛.海拉尔盆地复杂言行测井识别方法研究及应用[D].大庆石油学院.
[22]张文斌,林景晔,刘概琴等.对应分析油气水层识别方法及应用[J].大庆石油地质与开发.2002,21(6)：8-9.
[23]郎东升,金成志等.储层流体的热解及气相色谱评价方法[M].北京：石油工业出版社,1999.
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[25]杨弘远。荧光显微镜技术的基本原理与方法。植物学通报,1984.6。
[26]秦秋寒,大庆探区海拉尔盆地轻质油储层综合判识评价方法[D].
[27]孙文龙,孟媛媛,苟增娜,邢红霞。海拉尔盆地油水层综合解释技术研究[J].石油天然气学报,2009,31(5)：243-245.
[28]康宝东,海拉尔盆地布达特群裂缝型储集层含油气性识别方法[J].录井技术,2004.15(1)：64-65.
[29]郎东升,姜道华,陈玉斌.海拉尔盆地轻质油层的热解识别及定量评价技术[J].录井技术,2004,31(1)：79-81.
[30]段宏伟.海拉尔盆地现场油气显示的识别方法[J].大庆石油地质与开发,2004,24(增刊)：7-8.
[31]张野,郎东升,耿长喜等.大庆探区复杂油气水层录井综合识别与评价新技术[J].中国石油勘探,2004.4：43-48.
[32]G. Bourgault. Using non-Gaussian distributions in geostatistical simulations [J]. Mathematical Geology,1997,29, (3).
[33]吕晓光,上德发,姜洪福.储层地质模型及随机建模技术[J].大庆石油地质与开发,2000,(01).
[34]胡向阳,熊琦华,吴胜和.储层建模方法研究进展[J],石油大学学报(自然科学版),2001,25(1)：107-112.
[35]BOURGAULT G.Using non-gaussion distributions in geostatistical simulation[J].Mathematical eology,1997,29(3):315～334.
[36]B. Yeten,F. Giimrah. The Use of Fractal Geostatics and Artificial Neral Networks for Carbonate Reservoir Characterization [J]. Transport in Porous Media,2000,41, (2).
[37]Yong Zhong Su,Yu Lin Li,Ha Lin Zhao. Soil Properties and their Spatial Pattern in a Degraded Sandy Grassland under Post-grazing Restoration, Inner Mongolia, Northern China[J]. Biogeochemistry,2006,79, (3).
[38]Colin P. North,David I. Halliwell. Bias in estimating fractal dimension with the rescaled-range (R/S) technique [J]. Mathematical Geology,1994,26, (5).
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