Application of grey system theory to reservoir valuation of Putaohua Oilfield in northern Songliao Basin

WANG Zhiyao; SU Junqing; QIAN Maolu; LIU Zhiying

doi:10.3969/j.issn.1673-8926.2011.05.012

Lithologic Reservoirs >

2011 , Vol. 23 >Issue 5: 60 - 63

DOI: https://doi.org/10.3969/j.issn.1673-8926.2011.05.012

Application of grey system theory to reservoir valuation of Putaohua Oilfield in northern Songliao Basin

WANG Zhiyao ,
SU Junqing ,
QIAN Maolu ,
LIU Zhiying

Expand

School of Energy Resources， China University of Geosciences， Beijing 100083， China

Online published: 2011-10-20

Fold

Abstract

The application of grey systemtheory to reservoir evaluation is introduced. The hierarchical-cluster analysis is firstly adopted to select relatively independent evaluation parameters, and six parameters are selected out of ten parameters, including variation coefficient, shale content, effective thickness, oil saturation, porosity and permeability. And then correlation analysis of grey systemtheory is used to determine the weight coefficient of each parameter. Based on calculation of the indexes for comprehensive evaluation of reservoir, inflection-point method is adopted to determine the classifying thresholds for the comprehensive evaluation of reservoir, and then conduct comprehensive quantitative evaluation. Good evaluation effects have been achieved. There are mainly type I and II reservoir in northern Putaohua Oilfield, and type II and III reservoir in southern Putaohua Oilfield.

Key words： strike-slip fault; depositional system; favorable zones; lithologic reservoirs; Qikou Sag

Cite this article

WANG Zhiyao , SU Junqing , QIAN Maolu , LIU Zhiying . Application of grey system theory to reservoir valuation of Putaohua Oilfield in northern Songliao Basin[J]. Lithologic Reservoirs, 2011 , 23(5) : 60 -63 . DOI: 10.3969/j.issn.1673-8926.2011.05.012

References

［1］张满郎，李熙喆，谷江锐，等.鄂尔多斯盆地中东部山2 段储层精细评价［J］.岩性油气藏，2010，22（3）：71-77.
［2］ Holtt R M，Fjaer E，Torsaeter O，et al. Petrophysical laboratory measurements for basin and reservoir evaluation ［J］. Marine and Petroleum Geology，1996，13（4）：383-391.
［3］ Ioannidis M A，Kwiecien M J，Chatzis I.Statistical analysis of the porous microstructure as a method for estimating reservoir permeability ［J］. Journal of Petroleum Science and Engineering，1997，16（4）：251-261.
［4］ Zheng Shiyi，Corbett P W M，Ryseth A，et al. Uncertainty in well test and core permeability analysis：A case study in fluvial channel reservoirs，northern North Sea，Norway［J］. AAPG Bulletin，2000，84（12）：1 929-1 954.
［5］ McCaffrey W，Kneller B. Process controls on the development of stratigraphic trap potential on the margins of confined turbidite systems and aids to reservoir evaluation［J］. AAPG Bulletin，2001，85（6）：971-988.
［6］ Ehrenberg S N，Nadeau P H，Steen O. A megascale view of reservoir quality in producing sandstones from the offshore Gulf of Mexico ［J］. AAPG Bulletin，2008，92（2）：145-164.
［7］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.
［8］黄龙，田景春，肖玲，等.鄂尔多斯盆地富县地区长6 砂岩储层特征及评价［J］.岩性油气藏，2008，20（1）：83-88.
［9］裘亦楠，薛叔浩. 油气储层评价技术［M］.北京：石油工业出版社，1997：90-96.
［10］冯文立，黄思静，黄培培，等.鄂尔多斯盆地东北部太原组砂岩储层特征［J］.岩性油气藏，2009，21（1）：89-93.
［11］孙洪斌，张凤莲.断陷盆地优质储层的成因———以辽河坳陷古近系沙河街组储层为例［J］.岩性油气藏，2009，21（1）：51-54.
［12］ Sabtan A. Numerical techniques in reservoir capacity evaluation［J］. Quarterly Journal of Engineering Geology，1993，26：217-225.
［13］ Shyllon E A，Olaleye J B，Olunloyo V O S. Litho-seismic data handling for hydrocarbon reservoir estimate：fuzzy system modelling approach［J］. Journal of Petroleum Science and Engineering，2001，31：165-173.
［14］孙红志，刘吉余.储层综合定量评价方法研究［J］.大庆石油地质与开发，2004，23（6）：8-10.
［15］ Aminian K，Ameri S. Application of artificial neural networks for reservoir characterization with limited data［J］. Journal of Petroleum Science and Engineering，2005，49：212-222.
［16］ Clifford A C. An integrated approach to Beluga and Tyonek reservoir evaluation in Cook Inlet［J］. Geological Society of America，2006，38（5）：32.
［17］吕红华，任明达，柳金诚. Q 型主因子分析与聚类分析在柴达木盆地花土沟油田新近系砂岩储层评价中的应用［J］.北京大学学报：自然科学版，2006，42（6）：740-745.
［18］邓聚龙.灰色预测与决策［M］．武汉：华中理工大学出版社，1992：12-31.
［19］李国锋，王德安，成勇，等.应用灰色关联分析法优选大牛地气田压裂井层［J］.岩性油气藏，2011，23（1）：114-117.
［20］王天琦，王建功，梁苏娟，等.松辽盆地徐家围子地区葡萄花油层精细勘探［J］. 岩性油气藏，2007，19（2）：22-27.
［21］王建功，王天琦，卫平生，等.大型坳陷湖盆浅水三角洲沉积模式———以松辽盆地北部葡萄花油层为例［J］.岩性油气藏，2007，19（2）：28-34.
［22］王玉杰，张大克.随机欧氏距离的统计性质［J］.天津科技大学学报，2010，25（5）：73-75.
［23］张满郎，李熙喆，谷江锐，等.鄂尔多斯盆地中东部山2 段储层精细评价［J］.岩性油气藏，2010，22（3）：71-77.
［24］尉中良，邹长春.地球物理测井［M］.北京：地质出版社，2005:86-87.
［25］王震，郭少斌.灰色关联分析在鄂尔多斯盆地环县地区长8 储层评价中的应用［J］.内蒙古石油化工，2011，（7）：268-269.

Options

Outlines

模态框（Modal）标题

Abstract

Cite this article

References