普光地区上三叠统小塘子组泥岩分布地震预测

Abstract

Abstract:

Gas logging of multiple wells at the top of Leikoupo formation in Puguang area is better. The laboratory analysis shows that high quality source rocks are developed in Xiaotangzi formation of the overlying strata. Therefore, as an important hydrocarbon source layer and caprock, the mudstone distribution prediction of Xiaotangzi formation is of great significance to the top weathered crust reservoir of Leikoupo formation in Puguang area. On the basis of defining the petrophysical characteristics and logging response characteristics of mudstone in Xiaotangzi formation, the fine well-seismic calibration, geological modeling and forward modeling of mudstone were carried out by using the drilling and 3D seismic data, and the seismic reflection characteristics of mudstone in Xiaotangzi formation were clarified. Finally, combined with paleogeomorphology analysis, attribute analysis and other means, the favorable facies belt of mudstone development was determined. On this basis, the thickness of mudstone was quantitatively predicted by sparse pulse inversion, a set of seismic prediction method suitable for mudstone of Xiaotangzi formation in Puguang area was established, and the distribution of Upper Triassic was predicted. Then the comparison of mudstone thickness with that of completed drilling confirmed the reliability of the prediction results.

Key words: Puguang area, Xiaotangzi formation, attribute analysis, seismic inversion, mudstone prediction in seismic

CLC Number:

P618

JIN Da. Prediction of mudstone distribution on top of middle Triassic Xiaotangzi formation in Puguang area[J].Reservoir Evaluation and Development, 2019, 9(4): 6-11.

Figures/Tables 9

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Table 1

References 15

[1]	钟怡江, 陈洪德, 林良彪 , 等. 川东北地区中三叠统雷口坡组四段古岩溶作用与储层分布[J]. 岩石学报, 2011,27(8):2272-2280.
[2]	甯濛, 刘殊, 龚文平 . 川西坳陷三叠系雷口坡组顶部白云岩储层分布预测[J]. 中国石油勘探, 2015,20(3):30-37.
[3]	杨光, 石学文, 黄东 , 等. 四川盆地龙岗气田雷四—三亚段风化壳气藏特征及其主控因素[J]. 天然气工业, 2014,34(9):17-24.
[4]	许国明, 宋晓波, 冯霞 , 等. 川西地区中三叠统雷口坡组天然气勘探潜力[J]. 天然气工业, 2013,33(8):8-14. doi: 10.3787/j.issn.1000-0976.2013.08.002
[5]	宋晓波, 王琼仙, 隆轲 , 等. 川西地区中三叠统雷口坡组古岩溶储层特征及发育主控因素[J]. 海相油气地质, 2013,18(2):8-14.
[6]	徐宝亮, 臧殿光, 李明杰 , 等. 岩溶储层综合预测技术在四川盆地Y地区的应用[J]. 石油地球物理勘探, 2016,51(S1):47-51.
[7]	MADIBA G B, MCMECHAN G A . Seismic impedance inversion and interpretation of a gas carbonate reservoir in the Alberta Foothills, western Canada[J]. Geophysics, 2003,68(5):1460-1469.
[8]	陈学海, 卢双舫, 薛海涛 , 等. 地震属性技术在北乌斯丘尔特盆地侏罗系泥岩预测中的应用[J]. 中国石油勘探, 2011,16(2):67-71.
[9]	RAEESI M, MORADZADEH A. Classification and identification of hydrocarbon reservoir lithofacies and their heterogeneity using seismic attributes, logs data and artificial neural networks[J]. Journal of Petroleum Science & Engineering, 2012, 82-83(2):151-165.
[10]	施振生, 赵正望, 金惠 , 等. 四川盆地上三叠统小塘子组沉积特征及地质意义[J]. 古地理学报, 2012,14(4):477-486. doi: 10.7605/gdlxb.2012.04.006
[11]	MATOS M C D . Unsupervised seismic facies analysis using wavelet transform and self-organizing maps[J]. Geophysics, 2007,72(1):9-12.
[12]	SARASWAT P, SEN M K . Artificial immune-based self-organizing maps for seismic-facies analysis[J]. Geophysics, 2012,77(4):45-53.
[13]	CHEN Q, SIDNEY S . Seismic attribute technology for reservoir forecasting and monitoring[J]. The Leading Edge, 1997,16(5):445-450.
[14]	缪志伟, 别静, 季春辉 . 川东北元坝地区飞仙关组二段鲕滩储层预测[J]. 石油地球物理勘探, 2014,49(2):329-337.
[15]	刘国萍, 游瑜春, 冯琼 , 等. 元坝长兴组生物礁储层精细雕刻技术[J]. 石油地球物理勘探, 2017,52(3):583-590.

井号	泥岩厚度/m	是否与预测结果相符
pg3	21	是
pg101	12	是
lj1	18	否
mb2	28	是
mb3	32	否
mb8	28	是
dw101	19	是
dw2	27	是

Prediction of mudstone distribution on top of middle Triassic Xiaotangzi formation in Puguang area

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 9

References 15

Related Articles 2

Metrics

Comments

Recommended 10

[1]	LEI Cheng,CUI Bingkai,ZHAI Guanghua,YE Yu,XU Qingyan,ZHANG Jinlin. A lithofacies modeling method based on a new integrated algorithm and its application [J]. Reservoir Evaluation and Development, 2023, 13(2): 206-214.
[2]	LIN Weiqiang,QU Lili,ZHU Lu,FENG Linping. Evaluation of inter-well sand body connectivity by combination of well, seismic, and reservoir and its application: Taking the middle and deep layers of M area of Nanpu Oilfield as an example [J]. Reservoir Evaluation and Development, 2022, 12(2): 373-381.