Quantitative Prediction Model for the Dongying Delta-fluxoturbidite Depositional System in the Middle E<em>s</em><sup>3</sup> Period

CHEN Shi-yue; BI Ming-wei; LIU Hui-min; GAO Yong-jin; ZHANG Peng-fei

Article Contents

Article Navigation > Acta Sedimentologica Sinica > 2014 > 32(5): 921-929

CHEN Shi-yue, BI Ming-wei, LIU Hui-min, GAO Yong-jin, ZHANG Peng-fei. Quantitative Prediction Model for the Dongying Delta-fluxoturbidite Depositional System in the Middle Es3 Period[J]. Acta Sedimentologica Sinica, 2014, 32(5): 921-929.

Citation:

CHEN Shi-yue, BI Ming-wei, LIU Hui-min, GAO Yong-jin, ZHANG Peng-fei. Quantitative Prediction Model for the Dongying Delta-fluxoturbidite Depositional System in the Middle Es³ Period[J]. Acta Sedimentologica Sinica, 2014, 32(5): 921-929.

Quantitative Prediction Model for the Dongying Delta-fluxoturbidite Depositional System in the Middle Es³ Period

1.
Earth Science and Technology Institute of China University of Petroleum, Qingdao, Shandong 266555;
2.
Geological Science Research Institute of China Petrochemical Shengli Oilfield Branch, Dongying, Shandong 257000

Received Date: 2013-09-10
Rev Recd Date: 2013-12-12
Publish Date: 2014-10-10

Abstract

Delta-fluxoturbidite depositional system has been well developed for the abundant sediment supply in Dongying depression in the middle Es3 period. The study has found that fluxoturbidite thickness h(m) can be established the relationship with delta front characteristics(thickness of the front delta strata H(m), sandstone percentage content x(%) and slope angle of delta front a(°)) and distance of turbidite slip s(m). Using the control variable method to research the single factor analysis to find that distance s(m) which is primary factor, is high negative correlation with fluxoturbidite thickness h(m). The sub-factors which include thickness of the delta front strata H(m), sandstone percentage content x(%) and slope angle a(°), are positively related with h(m). Using the gray relational analysis to calculate the weight coefficients of sub-factors related to the primary factor, to ascertain the gray relation coefficient, and establishes the quantitative prediction model of thickness of fluxoturbidite h(m): h=55.359Q^{1.522 3},Q=0.355s'+0.223x'+0.221H'+0.201a'(Q is the comprehensive evaluation indices. s', x', H'and a' are distance of turbidite slip, sandstone percentage content, thickness of the front delta strata and slope angle of delta front, which are calculated by using maximum normalization method).
- Dongying depression,
- fluxoturbidite thickness,
- gray relational analysis,
- quantitative prediction model

References

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Quantitative Prediction Model for the Dongying Delta-fluxoturbidite Depositional System in the Middle Es³ Period

1. Earth Science and Technology Institute of China University of Petroleum, Qingdao, Shandong 266555;

2. Geological Science Research Institute of China Petrochemical Shengli Oilfield Branch, Dongying, Shandong 257000

Received Date: 2013-09-10

Rev Recd Date: 2013-12-12

Publish Date: 2014-10-10

Key words:

Abstract: Delta-fluxoturbidite depositional system has been well developed for the abundant sediment supply in Dongying depression in the middle Es3 period. The study has found that fluxoturbidite thickness h(m) can be established the relationship with delta front characteristics(thickness of the front delta strata H(m), sandstone percentage content x(%) and slope angle of delta front a(°)) and distance of turbidite slip s(m). Using the control variable method to research the single factor analysis to find that distance s(m) which is primary factor, is high negative correlation with fluxoturbidite thickness h(m). The sub-factors which include thickness of the delta front strata H(m), sandstone percentage content x(%) and slope angle a(°), are positively related with h(m). Using the gray relational analysis to calculate the weight coefficients of sub-factors related to the primary factor, to ascertain the gray relation coefficient, and establishes the quantitative prediction model of thickness of fluxoturbidite h(m): h=55.359Q^{1.522 3},Q=0.355s'+0.223x'+0.221H'+0.201a'(Q is the comprehensive evaluation indices. s', x', H'and a' are distance of turbidite slip, sandstone percentage content, thickness of the front delta strata and slope angle of delta front, which are calculated by using maximum normalization method).

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Reference (32)

[1]	隋淑玲, 谭俊敏. 东营凹陷低位三角洲砂体隐蔽油气藏研究[J]. 油气地质与采收率, 2004, 11(2):25-29[Sui Shuling, Tan Junmin. Study on the subtle oil gas reservoir of low stand system tract delta sandstone in Dongying sag[J]. Petroleum Geology and Recovery Efficiency, 2004, 11(2): 25-29]
[2]	朱德艳. 东营凹陷古近系岩性圈闭分布及成藏条件[J]. 油气地质与采收率, 2008, 15(3):32-35[Zhu Deyan. Palaeogene lithologic traps distribution and hydrocarbon accumulation conditions in Dongying depression[J]. Petroleum Geology and Recovery Efficiency, 2008, 15(3): 32-35]
[3]	邱桂强, 王居峰, 张昕, 等. 东营三角洲沙河街组三段中亚段地层格架初步研究及油气勘探意义[J]. 沉积学报, 2001, 19(4):569-574[Qiu Guiqiang, Wang Jufeng, Zhang Xin, et al. Preliminary study on stratigraphic architecture of Middle-Shasan Dongying delta and its significance to hydrocarbon exploration[J]. Acta Sedimentologica Sinica, 2001, 19(4): 569-574]
[4]	王金铎, 韩文功, 于建国, 等. 东营凹陷沙三段浊积岩体系及其油气勘探意义[J]. 石油学报, 2003, 24(6):24-29[Wang Jinduo, Han Wengong, Yu Jianguo, et al. Turbidity system in the third section of Shahejie Formation of Dongying sag and its implications on petroleum prospecting[J]. Acta Petrolei Sinica, 2003, 24(6): 24-29]
[5]	Bai Guoping, Zhang Shanwen. Depositional patterns and Oil/Gas accumulation features of Sha-3 Member turbidites in Dongying depression, Bohai Bay Basin[J]. Petroleum Science, 2004, 1(2): 105-110
[6]	Stow D A V, Mayall M. Thematic set on deepwater sedimentary systems: new models for the 21st century[J]. Marine and Petroleum Geology, 2000, 17(2):125-135
[7]	高永进, 邱桂强, 陈冬霞, 等. 牛庄洼陷岩性油藏含油气性及主控因素[J]. 石油与天然气地质, 2004, 25(3):284-287[Gao Yongjin, Qiu Guiqiang, Chen Dongxia, et al. Oil/gas shows in lithologic reservoirs in Niuzhuang sag and their main controlling factors[J]. Oil & Gas Geology, 2004, 25(3): 284-287]
[8]	赵密福, 信荃麟, 刘泽容. 惠民凹陷临南洼陷滑塌浊积岩分布规律及其控制因素[J]. 油气地质与采收率, 2001, 8(5):14-17[Zhao Mifu, Xin Quanlin, Liu Zerong. Distribution rule and its controlling factors of slump turbidite of Linnan subsag in Huimin sag[J]. Retroleum Geology and Recovery Efficiency, 2001, 8(5): 14-17]
[9]	张世懋, 丁晓琪. 鄂尔多斯盆地延长组浊积岩特征及其影响因素[J]. 测井技术, 2011, 35(6):594-598[Zhang Shimao, Ding Xiaoqi. Characteristics and controlling factors of turbidites in Yanchang Formation, Ordos Basin[J]. Well Logging Technology, 2011, 35(6): 594-598]
[10]	王志坤, 钟建华, 艾合买提江·阿布都热合曼, 等. 东营河125断层几何学特征及其对浊积扇和油藏的控制作用[J]. 地球学报, 2008, 29(1):95-102[Wang Zhikun, Zhong Jianhua, Ahmatjan·Abdurahman, et al. Geometric characteristics of the He-125 Fault and its control over sediment and reservoir distribution, Dongying[J]. Acta Geoscientica Sinica, 2008, 29(1): 95-102]
[11]	陈永红. 惠民凹陷沙三段三角洲前缘滑塌浊积体发育规律与油气聚集关系[D]. 北京:中国科学院研究生院, 2006[Chen Yonghong. The developing rule of delta-forward creeping turbidite sandbody and its oil-gas accumulation relationship of Sha 2 Member in Huimin depression[D]. Beijing: School of the Chineses Academy of Sciences, 2006]
[12]	封从军, 鲍志东, 张吉辉, 等. 扶余油田中区泉四段基准面旋回划分及对单砂体的控制[J]. 吉林大学学报:地球科学版, 2012, 42(2):62-69[Feng Congjun, Bao Zhidong, Zhang Jihui, et al. Dividing of base-level cycle and its controlling on single sandbody in the Fourth Member of Quantou Formation in Fuyu oilfield[J]. Journal of Jilin University: Earth Science Edition, 2012, 42(2): 62-69]
[13]	崔龙涛, 冯栋, 秦雁群, 等. 鄂尔多斯盆地镇北地区延长组长7古地貌与砂体分布特征[J]. 岩性油气藏, 2013, 25(5):65-69[Cui Longtao, Feng Dong, Qin Yanqun, et al. Palaeogeomorphology reconstruction and sandbody distribution of Chang 7 reservoir in Zhenbei area, Ordos Basin[J]. Lithologic Reservoirs, 2013, 25(5): 65-69]
[14]	穆立华, 彭仕宓, 尹志军, 等. 井间砂体定量预测的泛克里格法[J]. 石油勘探与开发, 2004, 31(4):73-75[Mu Lihua, Peng Shimi, Yin Zhijun, et al. Universal Kriging method for quantitative sandstone prediction between wells[J]. Petroleum Exploration and Development, 2004, 31(4): 73-75]
[15]	袁书坤, 王英民, 卢双舫, 等. 陈家洼陷沙三段砂体沉积及其与油气的关系[J]. 大庆石油地质与开发, 2008, 27(6):15-38[Yuan Shukun, Wang Yingmin, Lu Shuangfang, et al. Sedimentary characteristics and their relation to petroleum for the sandbodies in Sha No.3 Member of Chenjia sag[J]. Petroleum Geology & Oilfield Development in Daqing, 2008, 27(6): 15-38]
[16]	Sun Luping, Zheng Xiaodong, Shou Hao, et al. Quantitative prediction of channel sandbodies based on seismic peak attributes in the frequency domain and its application[J]. Applied Geophysics, 2010, 7(1): 10-17
[17]	王家华, 夏吉庄. 三维地震约束多点建模降低井间砂体预测的不确定性[J]. 沉积学报, 2013, 31(5):878-888[Wang Jiahua, Xia Jizhuang. Multi-point statistical modeling constrained by 3D seismic data reducing uncertainty of sandbody prediction[J]. Acta Sedimentologica Sinica, 2013, 31(5): 878-888]
[18]	潘继平, 金之钧. 中国油气资源潜力及勘探战略[J]. 石油学报, 2004, 25 (2):1-6[Pan Jiping, Jin Zhijun. Potentials of petroleum resources and exploration strategy in China[J]. Acta Petrolei Sinica, 2004, 25(2): 1-6]
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Quantitative Prediction Model for the Dongying Delta-fluxoturbidite Depositional System in the Middle Es³ Period

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Quantitative Prediction Model for the Dongying Delta-fluxoturbidite Depositional System in the Middle Es³ Period

1. Earth Science and Technology Institute of China University of Petroleum, Qingdao, Shandong 266555;

2. Geological Science Research Institute of China Petrochemical Shengli Oilfield Branch, Dongying, Shandong 257000

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Quantitative Prediction Model for the Dongying Delta-fluxoturbidite Depositional System in the Middle Es3 Period

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通讯作者: 陈斌, bchen63@163.com

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Quantitative Prediction Model for the Dongying Delta-fluxoturbidite Depositional System in the Middle Es3 Period

1. Earth Science and Technology Institute of China University of Petroleum, Qingdao, Shandong 266555; 2. Geological Science Research Institute of China Petrochemical Shengli Oilfield Branch, Dongying, Shandong 257000

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Quantitative Prediction Model for the Dongying Delta-fluxoturbidite Depositional System in the Middle Es³ Period

Quantitative Prediction Model for the Dongying Delta-fluxoturbidite Depositional System in the Middle Es³ Period

1. Earth Science and Technology Institute of China University of Petroleum, Qingdao, Shandong 266555;

2. Geological Science Research Institute of China Petrochemical Shengli Oilfield Branch, Dongying, Shandong 257000